prevalence of respiratory symptoms and...
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PREVALENCE OF RESPIRATORY
SYMPTOMS AND THEIR ASSOCIATED
FACTORS AMONG PEOPLE LIVING
NEAR THE SPONGE IRON INDUSTRIES
IN BONAIGARH ODISHA INDIA
CHINMAYA KUMAR BEHERA
Dissertation submitted in partial fulfillment of the
requirement for the award of the degree of
Master of Public Health
ACHUTHA MENON CENTREFORHEALTHSCIENCE STUDIES
SREE CHITRA TIRUNAL INSTITUTE FORMEDICAL SCIENCESampTECHNOLOGY
Trivandrum Kerala India-695011
October 2017
2
DEDICATION
The work embodied in this dissertation is dedicated to my father Mr Kumuda Chandra
Behera my mother Mrs Mamata Behera my father-in-law Mr Gouranga Charan Samal
my mother-in-law Mrs Jayashree Samal and my beloved wife Subhashree Priyadarsini
They have sacrificed their time and comforts for me and offered unconditional support and
encouragement in making this work possible
This work is also a humble homage to my Sadgurudev Sri Satpalji Maharaj whose
preaching‟s and meditation techniques gave me peace of mind throughout the dissertation
work
3
ACKNOWLEDGEMENT
Thanks to my Sadgurudev for giving me this opportunity to study MPH at SCTIMST
which was like a dream coming true I am thankful to everyone who has contributed
directly or indirectly which led to the culmination of this work especially the faculty
members of Achutha Menon Centre for Health Science Studies (AMCHSS) for helping me
to conceptualize revisit and refine my dissertation work I feel extremely lucky to be
mentored under my research supervisor Dr Manju Nair R and I am very grateful to Dr
Tushar Kant Joshi and Prof Dr TK Sundari Ravindran for their help in the initial days
when I was searching for a topic for my dissertation I am also grateful to Dr Biju Soman
who provided me with a GPS machine to take the GPS locations of villages during my data
collection and also to Dr Jeemon P who is always ready to help whenever I approached
him for discussions related to my dissertation I am also thankful to Prof Dr Sankara
Sarma who helped me whenever I had any doubt about the analysis I am very thankful to
my sister Miss Madhusmita Behera and sister-in-law Suniyena Priyadarsini and Sushree
Samal for their encouragement and logistics support during the printing and editing on my
study tools I am very thankful to my batch mates Mr Manas Chacko and Mr Swadhin
Jena for their unconditional inputs at crucial times during the whole process Last but not
the least I am grateful to the community leaders and all the 410 study participants who
showed immense patience shared their experiences and time with me during data
collection phase which led to a high response rate and successful completion of this MPH
dissertation
4
DECLARATION
I hereby declare that this dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in Bonaigarh
Odisha Indiardquo is the bonafide record of my original research It has not been submitted to
any other university or institution for the award of any degree or diploma Information
derived from the published or unpublished work of others has been duly acknowledged in
the text
CHINMAYA KUMAR BEHERA
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala India
October 2017
5
CERTIFICATE
Certified that the dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in
Bonaigarh Odisha Indiardquo is a record of the research work undertaken by
CHINMAYA KUMAR BEHERA in partial fulfillment of the requirements for
the award of the degree of ldquoMaster of Public Healthrdquo under my guidance and
supervision
DR MANJU NAIR R
Scientist bdquoC‟
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala Indiandash 695011
October 2017
6
GLOSSARY OF ABBREVIATIONS
AAP Ambient Air Pollution
APL Above poverty line
ARI Acute Respiratory Infections
BMRC British Medical Research Council
BPL Below poverty line
CI Confidence Interval
COPD Chronic Obstructive Pulmonary Disease
DRI Directly Reduced Iron
ECRHS European Community Respiratory Health Survey
FVC Forced Vital Capacity
GARD Global Alliance against Chronic Respiratory Diseases
ICMR Indian Council for Medical Research
IEC Institutional Ethics Committee
INSEARCH Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic bronchitis
ISAAC International Study of Asthma and Allergies in Childhood
IUATLD International Union Against Tuberculosis and Lung Diseases
LPG Liquid Petroleum Gas
NFHS-4 National Family Health Survey-4
OR Odds Ratio
PM Particulate Matter
PVC Poly Vinyl Chloride
7
PHC Primary Health Care centres
SCTIMST Sree Chitra Tirunal Institute for Medical Sciences and Technology
SEC Socio- Economic Class
SPCB State Pollution Control Board
UK United Kingdom
WRS Work Related Symptoms
WHO World Health Organization
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
Available from httpswwwncbinlmnihgovpmcarticlesPMC3893990
(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
respiratory systemJornalBrasileiro de Pneumologia 38(5) 643ndash655
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
hepatitis]Revista De MedicinaInterna Neurologe Psihiatrie
Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
2
DEDICATION
The work embodied in this dissertation is dedicated to my father Mr Kumuda Chandra
Behera my mother Mrs Mamata Behera my father-in-law Mr Gouranga Charan Samal
my mother-in-law Mrs Jayashree Samal and my beloved wife Subhashree Priyadarsini
They have sacrificed their time and comforts for me and offered unconditional support and
encouragement in making this work possible
This work is also a humble homage to my Sadgurudev Sri Satpalji Maharaj whose
preaching‟s and meditation techniques gave me peace of mind throughout the dissertation
work
3
ACKNOWLEDGEMENT
Thanks to my Sadgurudev for giving me this opportunity to study MPH at SCTIMST
which was like a dream coming true I am thankful to everyone who has contributed
directly or indirectly which led to the culmination of this work especially the faculty
members of Achutha Menon Centre for Health Science Studies (AMCHSS) for helping me
to conceptualize revisit and refine my dissertation work I feel extremely lucky to be
mentored under my research supervisor Dr Manju Nair R and I am very grateful to Dr
Tushar Kant Joshi and Prof Dr TK Sundari Ravindran for their help in the initial days
when I was searching for a topic for my dissertation I am also grateful to Dr Biju Soman
who provided me with a GPS machine to take the GPS locations of villages during my data
collection and also to Dr Jeemon P who is always ready to help whenever I approached
him for discussions related to my dissertation I am also thankful to Prof Dr Sankara
Sarma who helped me whenever I had any doubt about the analysis I am very thankful to
my sister Miss Madhusmita Behera and sister-in-law Suniyena Priyadarsini and Sushree
Samal for their encouragement and logistics support during the printing and editing on my
study tools I am very thankful to my batch mates Mr Manas Chacko and Mr Swadhin
Jena for their unconditional inputs at crucial times during the whole process Last but not
the least I am grateful to the community leaders and all the 410 study participants who
showed immense patience shared their experiences and time with me during data
collection phase which led to a high response rate and successful completion of this MPH
dissertation
4
DECLARATION
I hereby declare that this dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in Bonaigarh
Odisha Indiardquo is the bonafide record of my original research It has not been submitted to
any other university or institution for the award of any degree or diploma Information
derived from the published or unpublished work of others has been duly acknowledged in
the text
CHINMAYA KUMAR BEHERA
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala India
October 2017
5
CERTIFICATE
Certified that the dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in
Bonaigarh Odisha Indiardquo is a record of the research work undertaken by
CHINMAYA KUMAR BEHERA in partial fulfillment of the requirements for
the award of the degree of ldquoMaster of Public Healthrdquo under my guidance and
supervision
DR MANJU NAIR R
Scientist bdquoC‟
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala Indiandash 695011
October 2017
6
GLOSSARY OF ABBREVIATIONS
AAP Ambient Air Pollution
APL Above poverty line
ARI Acute Respiratory Infections
BMRC British Medical Research Council
BPL Below poverty line
CI Confidence Interval
COPD Chronic Obstructive Pulmonary Disease
DRI Directly Reduced Iron
ECRHS European Community Respiratory Health Survey
FVC Forced Vital Capacity
GARD Global Alliance against Chronic Respiratory Diseases
ICMR Indian Council for Medical Research
IEC Institutional Ethics Committee
INSEARCH Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic bronchitis
ISAAC International Study of Asthma and Allergies in Childhood
IUATLD International Union Against Tuberculosis and Lung Diseases
LPG Liquid Petroleum Gas
NFHS-4 National Family Health Survey-4
OR Odds Ratio
PM Particulate Matter
PVC Poly Vinyl Chloride
7
PHC Primary Health Care centres
SCTIMST Sree Chitra Tirunal Institute for Medical Sciences and Technology
SEC Socio- Economic Class
SPCB State Pollution Control Board
UK United Kingdom
WRS Work Related Symptoms
WHO World Health Organization
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
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august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
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(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
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Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
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Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
3
ACKNOWLEDGEMENT
Thanks to my Sadgurudev for giving me this opportunity to study MPH at SCTIMST
which was like a dream coming true I am thankful to everyone who has contributed
directly or indirectly which led to the culmination of this work especially the faculty
members of Achutha Menon Centre for Health Science Studies (AMCHSS) for helping me
to conceptualize revisit and refine my dissertation work I feel extremely lucky to be
mentored under my research supervisor Dr Manju Nair R and I am very grateful to Dr
Tushar Kant Joshi and Prof Dr TK Sundari Ravindran for their help in the initial days
when I was searching for a topic for my dissertation I am also grateful to Dr Biju Soman
who provided me with a GPS machine to take the GPS locations of villages during my data
collection and also to Dr Jeemon P who is always ready to help whenever I approached
him for discussions related to my dissertation I am also thankful to Prof Dr Sankara
Sarma who helped me whenever I had any doubt about the analysis I am very thankful to
my sister Miss Madhusmita Behera and sister-in-law Suniyena Priyadarsini and Sushree
Samal for their encouragement and logistics support during the printing and editing on my
study tools I am very thankful to my batch mates Mr Manas Chacko and Mr Swadhin
Jena for their unconditional inputs at crucial times during the whole process Last but not
the least I am grateful to the community leaders and all the 410 study participants who
showed immense patience shared their experiences and time with me during data
collection phase which led to a high response rate and successful completion of this MPH
dissertation
4
DECLARATION
I hereby declare that this dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in Bonaigarh
Odisha Indiardquo is the bonafide record of my original research It has not been submitted to
any other university or institution for the award of any degree or diploma Information
derived from the published or unpublished work of others has been duly acknowledged in
the text
CHINMAYA KUMAR BEHERA
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala India
October 2017
5
CERTIFICATE
Certified that the dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in
Bonaigarh Odisha Indiardquo is a record of the research work undertaken by
CHINMAYA KUMAR BEHERA in partial fulfillment of the requirements for
the award of the degree of ldquoMaster of Public Healthrdquo under my guidance and
supervision
DR MANJU NAIR R
Scientist bdquoC‟
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala Indiandash 695011
October 2017
6
GLOSSARY OF ABBREVIATIONS
AAP Ambient Air Pollution
APL Above poverty line
ARI Acute Respiratory Infections
BMRC British Medical Research Council
BPL Below poverty line
CI Confidence Interval
COPD Chronic Obstructive Pulmonary Disease
DRI Directly Reduced Iron
ECRHS European Community Respiratory Health Survey
FVC Forced Vital Capacity
GARD Global Alliance against Chronic Respiratory Diseases
ICMR Indian Council for Medical Research
IEC Institutional Ethics Committee
INSEARCH Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic bronchitis
ISAAC International Study of Asthma and Allergies in Childhood
IUATLD International Union Against Tuberculosis and Lung Diseases
LPG Liquid Petroleum Gas
NFHS-4 National Family Health Survey-4
OR Odds Ratio
PM Particulate Matter
PVC Poly Vinyl Chloride
7
PHC Primary Health Care centres
SCTIMST Sree Chitra Tirunal Institute for Medical Sciences and Technology
SEC Socio- Economic Class
SPCB State Pollution Control Board
UK United Kingdom
WRS Work Related Symptoms
WHO World Health Organization
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
Available from httpswwwncbinlmnihgovpmcarticlesPMC3893990
(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
respiratory systemJornalBrasileiro de Pneumologia 38(5) 643ndash655
Available from httpwwwscielobrpdfjbpneuv38n5en_v38n5a15pdf
Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
Available from
httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
respiratory and allergic diseases in developing countries Focus on sub-
Saharan Africa Allergy 2003 Allergy Review Series VIII Allergy a global
problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
99951992tb00672x (accessed 21 October 2017)
Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
hepatitis]Revista De MedicinaInterna Neurologe Psihiatrie
Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
4
DECLARATION
I hereby declare that this dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in Bonaigarh
Odisha Indiardquo is the bonafide record of my original research It has not been submitted to
any other university or institution for the award of any degree or diploma Information
derived from the published or unpublished work of others has been duly acknowledged in
the text
CHINMAYA KUMAR BEHERA
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala India
October 2017
5
CERTIFICATE
Certified that the dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in
Bonaigarh Odisha Indiardquo is a record of the research work undertaken by
CHINMAYA KUMAR BEHERA in partial fulfillment of the requirements for
the award of the degree of ldquoMaster of Public Healthrdquo under my guidance and
supervision
DR MANJU NAIR R
Scientist bdquoC‟
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala Indiandash 695011
October 2017
6
GLOSSARY OF ABBREVIATIONS
AAP Ambient Air Pollution
APL Above poverty line
ARI Acute Respiratory Infections
BMRC British Medical Research Council
BPL Below poverty line
CI Confidence Interval
COPD Chronic Obstructive Pulmonary Disease
DRI Directly Reduced Iron
ECRHS European Community Respiratory Health Survey
FVC Forced Vital Capacity
GARD Global Alliance against Chronic Respiratory Diseases
ICMR Indian Council for Medical Research
IEC Institutional Ethics Committee
INSEARCH Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic bronchitis
ISAAC International Study of Asthma and Allergies in Childhood
IUATLD International Union Against Tuberculosis and Lung Diseases
LPG Liquid Petroleum Gas
NFHS-4 National Family Health Survey-4
OR Odds Ratio
PM Particulate Matter
PVC Poly Vinyl Chloride
7
PHC Primary Health Care centres
SCTIMST Sree Chitra Tirunal Institute for Medical Sciences and Technology
SEC Socio- Economic Class
SPCB State Pollution Control Board
UK United Kingdom
WRS Work Related Symptoms
WHO World Health Organization
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
Available from httpswwwncbinlmnihgovpmcarticlesPMC3893990
(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
respiratory systemJornalBrasileiro de Pneumologia 38(5) 643ndash655
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
hepatitis]Revista De MedicinaInterna Neurologe Psihiatrie
Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
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ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
5
CERTIFICATE
Certified that the dissertation titled ldquoPrevalence of respiratory symptoms and their
associated factors among people living near the sponge iron industries in
Bonaigarh Odisha Indiardquo is a record of the research work undertaken by
CHINMAYA KUMAR BEHERA in partial fulfillment of the requirements for
the award of the degree of ldquoMaster of Public Healthrdquo under my guidance and
supervision
DR MANJU NAIR R
Scientist bdquoC‟
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram Kerala Indiandash 695011
October 2017
6
GLOSSARY OF ABBREVIATIONS
AAP Ambient Air Pollution
APL Above poverty line
ARI Acute Respiratory Infections
BMRC British Medical Research Council
BPL Below poverty line
CI Confidence Interval
COPD Chronic Obstructive Pulmonary Disease
DRI Directly Reduced Iron
ECRHS European Community Respiratory Health Survey
FVC Forced Vital Capacity
GARD Global Alliance against Chronic Respiratory Diseases
ICMR Indian Council for Medical Research
IEC Institutional Ethics Committee
INSEARCH Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic bronchitis
ISAAC International Study of Asthma and Allergies in Childhood
IUATLD International Union Against Tuberculosis and Lung Diseases
LPG Liquid Petroleum Gas
NFHS-4 National Family Health Survey-4
OR Odds Ratio
PM Particulate Matter
PVC Poly Vinyl Chloride
7
PHC Primary Health Care centres
SCTIMST Sree Chitra Tirunal Institute for Medical Sciences and Technology
SEC Socio- Economic Class
SPCB State Pollution Control Board
UK United Kingdom
WRS Work Related Symptoms
WHO World Health Organization
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
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august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
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(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
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Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
hepatitis]Revista De MedicinaInterna Neurologe Psihiatrie
Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
6
GLOSSARY OF ABBREVIATIONS
AAP Ambient Air Pollution
APL Above poverty line
ARI Acute Respiratory Infections
BMRC British Medical Research Council
BPL Below poverty line
CI Confidence Interval
COPD Chronic Obstructive Pulmonary Disease
DRI Directly Reduced Iron
ECRHS European Community Respiratory Health Survey
FVC Forced Vital Capacity
GARD Global Alliance against Chronic Respiratory Diseases
ICMR Indian Council for Medical Research
IEC Institutional Ethics Committee
INSEARCH Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic bronchitis
ISAAC International Study of Asthma and Allergies in Childhood
IUATLD International Union Against Tuberculosis and Lung Diseases
LPG Liquid Petroleum Gas
NFHS-4 National Family Health Survey-4
OR Odds Ratio
PM Particulate Matter
PVC Poly Vinyl Chloride
7
PHC Primary Health Care centres
SCTIMST Sree Chitra Tirunal Institute for Medical Sciences and Technology
SEC Socio- Economic Class
SPCB State Pollution Control Board
UK United Kingdom
WRS Work Related Symptoms
WHO World Health Organization
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
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Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
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Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
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Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
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59
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208ndash213e2 Available from
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Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
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Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
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17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
7
PHC Primary Health Care centres
SCTIMST Sree Chitra Tirunal Institute for Medical Sciences and Technology
SEC Socio- Economic Class
SPCB State Pollution Control Board
UK United Kingdom
WRS Work Related Symptoms
WHO World Health Organization
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
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Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
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Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
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Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
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59
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208ndash213e2 Available from
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Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
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Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
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17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
8
TABLE OF CONTENTS
_____________________________________________
Chapters Topics Page
List of Tables 11
List of Figures 11
Abstract 12
1 Introduction 13
11 Background 13
12 Rationale of the study 15
2 Literature Review 17
21 Prevalence of respiratory symptoms 17
22 Air pollution and respiratory symptoms 18
23 Respiratory symptoms and occupational
exposures
19
24 Respiratory symptoms and indoor air
pollution
21
25 Smoking and respiratory symptoms 23
26 Alcohol and respiratory symptoms 24
27 Other factors and respiratory symptoms 25
28 Respiratory symptoms and populations
around industrial areas
26
281 Epidemiological methods used to study health
effects of pollution around industrial areas
26
282 Respiratory symptoms due to air pollution 27
29 Exposure assessment used 28
210 Tools used to study respiratory outcomes 28
211 Objectives 29
212 Research questions 29
3 Methodology 30
31 Study design 30
32 Study setting 30
33 Sample size 30
34 Sample selection procedure 30
35 Selection of the individual participants 31
351 Inclusion criteria 31
36 Data collection techniques 32
37 Plan for data collection and analysis 32
38 Data analysis 33
381 Univariate analysis 33
382 Bivariate analysis 33
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
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Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
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Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
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Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
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Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
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50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
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59
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httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
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17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
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କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
9
39 Study tool 34
310 Operational definitions 34
3101 Respiratory symptoms 34
3102 Adults 34
3103 Associated factors 34
311 Expected outcomes 34
312 Project Management 35
3121 Staffing 35
3122 Work plan 35
3123 Administration 35
3124 Data storage transfer and management 36
313 Ethical considerations 36
314 Plan for dissemination 36
4 Results 38
41 Sample characteristics 38
411 Education 39
412 Occupational status 39
413 Socio- economic status 39
414 Household size 40
415 Housing characteristics 40
4151 Dampness in the house 41
4152 Cooking practices and the nature of the
kitchens
41
4153 Cooking stove 41
416 Cooking fuel and practices 41
417 Residence in the area 42
42 Behavioural factors 42
421 History of smoking 42
422 History of alcohol use 43
423 Body Mass Index (BMI) 43
43 Prevalence of respiratory symptoms 43
44 Association of respiratory symptoms with
individual and household factors
44
441 Wheezing and morning breathlessness
individual and household factors
44
442 Breathlessness on exertion and without
exertion with individual and household factors
44
443 Breathlessness and cough at night with
individual and household factors
45
444 Cough and phlegm in the morning with
individual and household factors
45
445 Chest tightness and breathlessness on dust
exposure with individual and household factors
46
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
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Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
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(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
hepatitis]Revista De MedicinaInterna Neurologe Psihiatrie
Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
10
5 Discussion 51
51 Strengths 57
52 Limitations 57
53 Conclusion 57
References 59
6 Appendiceshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellip 65
Annexure-
I Participant information sheet English 66
Annexure-
II Participant consent form English 69
Annexure-
III Study tool English 70
Annexure-
IV Participant information sheet Odia 76
Annexure-
V Participant consent form Odia 78
Annexure-
VI Study tool Odia 79
Annexure-
VII IEC Approval letter 84
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
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(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
respiratory systemJornalBrasileiro de Pneumologia 38(5) 643ndash655
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
11
LIST OF TABLES FIGURES
Tables
Page
41 Socio- demographic factors of the sample 40
42 Housing characteristics of the sample 41
43 Behavioural factors of study population 42
44 Prevalence of respiratory symptoms in the study population 43
45 Association of wheeze and morning breathlessness with
individual and household factors
46
46 Association of breathlessness on exertion and breathlessness
without exertion with individual and household factors
47
47 Association of breathlessness and cough at night with
individual and household factors
48
48 Association of cough and phlegm in morning with individual
and household factors
49
49 Association of chest tightness and breathlessness on dust
exposure with individual and household factors
50
51 Prevalence of respiratory symptoms among adults near
sponge iron industries Bonaigarh
51
Figures
Page
31 Work plan for the whole project 29
41 Distribution of males and females in different age
categories 39
42 Overall prevalence of respiratory symptoms 45
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
Available from httpswwwncbinlmnihgovpmcarticlesPMC3893990
(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
respiratory systemJornalBrasileiro de Pneumologia 38(5) 643ndash655
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
hepatitis]Revista De MedicinaInterna Neurologe Psihiatrie
Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
12
Abstract
Introduction Limited evidence exists in India regarding the burden of respiratory
morbidity among people living near industries with polluting emissions despite them
being a significant contributor to the ambient air pollution in the country The
objectives of the current study was to assess the prevalence of respiratory symptoms
and their associated factors in a community residing around a group of sponge iron
industries in Odisha India
Methodology A cross-sectional survey conducted among 410 adults in the age
group 18-65 years living within 5 kilometers radius of a group of sponge iron
industries in Bonaigarh Odisha India using a structured interview schedule
Respiratory symptoms were assessed using a validated International Union Against
Tuberculosis and Lung Diseases (IUATLD) respiratory symptoms questionnaire
Results The prevalence of wheeze cough in the morning cough at night phlegm in
the morning and breathlessness on dust exposure were 151 (95 CI 119 - 189)
234 (95 CI 196 ndash 278) 215 (95 CI 178 ndash 257) 207 (95 CI 171 -
249) and 505 (95 CI 457 - 553) respectively All the above respiratory
symptoms were significantly higher among men compared to women In addition
dampness inside homes was associated significantly with the having wheeze (p=
003) cough in the morning (p= 005)
Conclusion The results of the study indicate a higher prevalence of respiratory
among the people residing near sponge iron factories in Bonaigarh Odisha
compared to the prevalence estimates of rural Odisha from other studies Larger
studies with objective emission measurements and pulmonary function parameters
are required to explore these observations further
Keywords Air pollution Respiratory symptoms Odisha India
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
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august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
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(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
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Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
13
Chapter- 1
Introduction
___________________________________________________________________
11 Background
Air pollution is increasingly recognised as one of the major threats to human health
in the modern times According to estimates of the World Health Organization
(WHO) in 2016 ninety two percent of the world‟s population lives in areas exposed
to air quality that exceeds WHO standards leading to considerable avoidable
morbidity and mortality Air pollution is known to cross all boundaries of
geopolitical divisions of the world and therefore has aroused
The exposure to ambient air pollution (AAP) is further aggravated in areas that are
close to sources such as industries major cities roads and mines Such sites
facilitate the settlements of large numbers of people around them either directly
employed or related to opportunities such development offers Such industrial areas
in most cases become major sources of pollution and create high levels of exposure
to hazards of various kinds to the people living around them (WHO 2016)
The extent of the problem and the impact that ambient air pollution creates in the
developing countries are far higher than those in the developed countries The
developing nations in their pursuit of better economic growth and competitiveness in
the global market tend to set up industries that employ cheaper technologies and are
not stringently regulated for emission norms (Hegerl et al 2007) These occur often
at the cost of natural resources massive deforestation and give rise to high levels of
pollution
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
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(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
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Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
14
Air quality is threatened by most such industries set up at the cost of environmental
degradation and adds gaseous pollutants like nitrogen dioxide sulphur dioxide
pollutants like cotton and jute dusts carbon particles chemicals heavy metals and
particulate matters (PM) of different sizes These pollutants result in high burden of
disease and particularly affect the human respiratory system causing acute and
chronic respiratory morbidities like dyspnoea cough phlegm wheezing bronchitis
and asthma (Bakke et al 1991 Le Van et al 2006 Lynda JL and John RB 2000)
Respiratory morbidity due to air pollution is not limited to any particular group in
the society and is manifested differently among different populations according to
the type andor environmental exposures They tend to affect vulnerable sections of
the society who are forced to live closer to sources of pollution In the rural areas
and sections of the urban population the burden of diseases due to ambient air
pollution is further worsened by their use of biomass fuels for domestic energy
needs and consequent exposure to high levels indoor air pollution
According to the WHO Global Alliance against Chronic Respiratory Diseases
(GARD) ldquorespiratory symptoms are among the major causes of consultation at
primary health care (PHCs) centresrdquo (Bousquet and Khaltaev N 2007) A systematic
analysis on the prevalence of asthma in Africa reported that the prevalence percent
among children less than 15 years as well as adults aged more than 45 years showed
a consistently increasing trend between the 1990 and 2012 (Adeloye et al 2013)
In India according to a multi-centre study conducted by Indian Council for Medical
Research (ICMR) during 2006-2009 about nine percent of respondents were having
one or more of the twelve respiratory symptoms studied They found a large
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
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(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
respiratory systemJornalBrasileiro de Pneumologia 38(5) 643ndash655
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Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
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httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
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Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
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Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
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Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
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ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
15
variation between individual respiratory symptoms across centres among men and
women and between urban and rural localities (S K Jindal 2006) A study
conducted among sand stone quarry workers of Jodhpur found that the Forced Vital
Capacity (FVC) of workers decreased in relation to increased duration and
concentration of exposure (Singh et al 2007)
India is the largest DRI producer in the world for the last consecutive 13 years
30percentof the world‟s directly reduced iron (DRI) or Sponge iron(2nd India
International DRI Summit 2014) and about 80are coal based industries (Patra HS
et al 2012) These industries give rise to several pollutants including heavy metals
like Cadmium Chromium Mercury Lead Mercury amp Nickel Air pollutants like
oxides of Sulphur and Nitrogen and hydro-carbons Several of these especially those
from sponge iron industries give rise to respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006)
In India Odisha has vast reserves of coal and iron ore (Patra HS et al 2012)
Therefore it has several sponge iron industries sponge iron being an These
industries in Odisha are mostly situated in the two districts of Sundargarh
(Kuarmunda Kalunga Bonai Lathikata Rajgangpur) and Sambalpur (Rengali)
(Patra HS et al 2012)
12 Rationale of the study
Even though there are several studies on the prevalence of respiratory symptoms
across the world focused on general population based morbidity specific
occupational groups and populations around polluting industries there is a shortage
of such data in the Indian context Respiratory symptoms are mostly context specific
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
References
58
2nd India International DRI Summit (2014) Hotel Le Meridien New Delhi NMDC
Limited Available from httpwwwspongeironindiainupcoming-events-
august2014pdf
Adeloye D Chan KY Rudan I et al (2013) An estimate of asthma prevalence in
Africa a systematic analysis Croatian Medical Journal 54(6) 519ndash531
Available from httpswwwncbinlmnihgovpmcarticlesPMC3893990
(accessed 27 October 2017)
Aleksandra Stanković NikolićMaja and ArandjelovićMirjana (2011) Effects of
indoor air pollution on respiratory symptoms of non-smoking women in Niš
SerbiaMultidisciplinary Respiratory Medicine 6(6) 351ndash355
Arbex MA Santos U de P Martins LC et al (2012) Air pollution and the
respiratory systemJornalBrasileiro de Pneumologia 38(5) 643ndash655
Available from httpwwwscielobrpdfjbpneuv38n5en_v38n5a15pdf
Bakke P Eide GE Hanoa R et al (1991) Occupational dust or gas exposure and
prevalences of respiratory symptoms and asthma in a general population
European Respiratory Journal 4(3) 273ndash278
Behera D and Jindal SK (1991) Respiratory symptoms in Indian women using
domestic cooking fuelsChest 100(2) 385ndash388 Available from
httpjournalchestnetorgarticleS0012-3692(16)37168-9pdf
Boezen HM Schouten JP Postma DS et al (1995) Relation between respiratory
symptoms pulmonary function and peak flow variability in adultsThorax
50(2) 121ndash126
Bousquet J and Khaltaev N (eds) (2007) Global surveillance prevention and control
of chronic respiratory diseases a comprehensive approach Geneva WHO
Available from
httpwwwwhointgardpublicationsGARD20Book202007pdf
Bousquet J Ndiaye M T-Khaled NA et al (2003) Management of chronic
respiratory and allergic diseases in developing countries Focus on sub-
Saharan Africa Allergy 2003 Allergy Review Series VIII Allergy a global
problem 58 265ndash283
Brunekreef B (1992) Damp housing and adult respiratory symptomsAllergy 47(5)
498ndash502 Available from httpdoiwileycom101111j1398-
99951992tb00672x (accessed 21 October 2017)
Cardet JC White AA Barrett NA et al (2014) Alcohol-induced Respiratory
Symptoms Are Common in Patients With Aspirin Exacerbated Respiratory
59
Disease The Journal of Allergy and Clinical Immunology In Practice 2(2)
208ndash213e2 Available from
httplinkinghubelseviercomretrievepiiS2213219813005072
Căruntu F Angelescu C and Predoviciu F (1976) [Short-term alternating
corticotherapy with single doses at 48 hour intervals in acute viral
hepatitis]Revista De MedicinaInterna Neurologe Psihiatrie
Neurochirurgie Dermato-VenerologieMedicinaInterna 28(3) 205ndash210
Chattopadhyay K Chattopadhyay C and Kaltenthaler E (2015) Respiratory health
status and its predictors a cross-sectional study among coal-based sponge
iron plant workers in Barjora India BMJ Open 5(3) e007084ndashe007084
Available from httpbmjopenbmjcomcgidoi101136bmjopen-2014-
007084
Chhabra P Sharma G and Kannan AT (2008) Prevalence of respiratory disease and
associated factors in an urban area of delhi Indian journal of community
medicine official publication of Indian Association of Preventive amp Social
Medicine 33(4) 229
Cong S Araki A Ukawa S et al (2014) Association of Mechanical Ventilation and
Flue Use in Heaters With Asthma Symptoms in Japanese Schoolchildren A
Cross-Sectional Study in Sapporo Japan Journal of Epidemiology 24(3)
230ndash238 Available from
httpjlcjstgojpDNJSTJSTAGEjeaJE20130135lang=enampfrom=CrossR
efamptype=abstract
Dong G-H Qian Z (Min) Wang J et al (2014) Home Renovation Family History
of Atopy and Respiratory Symptoms and Asthma Among Children Living in
China American Journal of Public Health 104(10) 1920ndash1927 Available
from httpajphaphapublicationsorgdoi102105AJPH2013301438
Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
and respiratory health in rural Orissa Economic and Political Weekly 71ndash
76 Available from
httpwwwgramvikasorgdocsArticle_on_Smokeless_Chullahs_by_Esther
_Duflo_MITpdf
Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
South African adults The International Journal of Tuberculosis and Lung
Disease 8(3) 369ndash376
Ellegard A (1996) Cooking Fuel Smoke and Respiratory Symptoms among Women
in Low-income Areas in MaputoEnvironmental Health Perspectives
104(9)
Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
60
respiratory health effects with dampness and mold in homesIndoor air
17(4) 284ndash296
Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
asthma in young people evidence from postal questionnaire surveys in the
Wythenshawe Community Asthma Project (WYCAP) BMC Pulmonary
Medicine 6(1) Available from
httpbmcpulmmedbiomedcentralcomarticles1011861471-2466-6-10
Gouda J Gupta AK and Yadav AK (2015) Association of child health and
household amenities in high focus states in India a district-level analysis
BMJ Open 5(5) e007589ndashe007589 Available from
httpbmjopenbmjcomcgidoi101136bmjopen-2015-007589
Halvani G Zare M Halvani A et al (2008) Evaluation and Comparison of
Respiratory Symptoms and Lung Capacities in Tile and Ceramic Factory
Workers of Yazd Archives of Industrial Hygiene and Toxicology 59(3)
Available from httpwwwdegruytercomviewjaiht200859issue-
310004-1254-59-2008-187810004-1254-59-2008-1878xml
Hedlund U (2006) Socio-economic status is related to incidence of asthma and
respiratory symptoms in adults European Respiratory Journal 28(2) 303ndash
410 Available from
httperjersjournalscomcgidoi101183090319360600108105
Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
N Nicholls JE Penner and PA Stott 2007 Understanding and Attributing
Climate Change In Climate Change 2007 The Physical Science Basis
Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change [Solomon S D Qin M
Manning Z Chen M MarquisKB Averyt M Tignor and HL Miller
(eds)] Cambridge University Press Cambridge United Kingdom and New
York NY USA Available from httpswwwipccchpdfassessment-
reportar4wg1ar4-wg1-chapter9-supp-materialpdf
Ian A Greaves Ellen A Eisen Thomas JS et al (1997) Respiratory Health of
Automobile Workers Exposed to Metal-Working Fluid Aerosols Respiratory
Symptoms American Journal of Industrial Medicine 32 450ndash459
Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
farmers an epidemiological study of risk factors Thorax 43(11) 872ndash877
Available from httpthoraxbmjcomcgidoi101136thx4311872
(accessed 21 October 2017)
Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
participating in the European Community Respiratory Health Survey
European Respiratory Journal 18(4) 647ndash654
61
Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
and Chronic Bronchitis (INSEARCH) INSEARCH Multi-Centre study
India Indian Council of Medical Research Available from
httpicmrnicinfinalINSEARCH_Full20_Reportpdf
Kashiva D (2016) Snapshot of Indian DRI IndustryHotel Shangri-La New Delhi
INDIA Available from httpswwwgooglecoinsearchei=41jzWd7ZGIT-
vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
MandiGobindgarh Punjab India IOSR Journal of Environmental Science
Toxicology and Food Technology 8(9) 17ndash24 Available from
httpiosrjournalsorgiosr-jestftpapersvol8-issue9Version-
3D08931724pdf
Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
smoke exposure and respiratory symptoms in non-current smokers in the
US trucking industry SHS exposure and respiratory symptoms BMC
Public Health 13(1) Available
fromhttpsbmcpublichealthbiomedcentralcomtrackpdf1011861471-
2458-13-93site=bmcpublichealthbiomedcentralcom
Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
respiratory symptoms and ventilator capacity in English and Dutch cotton
workers with special reference to atmospheric pollution British Journal
Industrial Medicine 21 124
LeVan TD Koh W-P Lee H-P et al (2006) Vapor dust and smoke exposure in
relation to adult-onset asthma and chronic respiratory symptoms the
Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
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ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
- Button2
- Button3
- Button4
16
and the rise in industrial growth in different parts of India warrants more research in
this area Most of the studies India in relation to industries are focused on
occupational health issues related to workers or their families The fact that such
highly polluting industries tend to be situated in the rural and difficult to access
regions with no air quality monitoring centers studies on the burden of respiratory
morbidity among people living close to such industries are limited
17
Chapter-2
Literature Review
21 Prevalence of respiratory symptoms
A survey conducted in seventy six primary health centres of nine countries found
respiratory symptoms ranging from 84 to 370 among patients aged above 5
years A systematic analysis on the prevalence of asthma in Africa reported an
increasing prevalence of 121 among children less than 15 years 118 among
people aged less than 45 years and 117 in the total population in 1990 In 2000
the prevalence rose to 139 among children lt15 years 138 among people lt45
years and 128 in the total population In 2010 this estimate further increased to
139 among children lt15 years 138 among people lt45 years and 128 in the
total population (Adeloye et al 2013)
In a World Health Survey of WHO conducted in 70 member countries during 2002-
2003 they found a global prevalence of doctor diagnosed asthma in adults was
estimated to be 43 (95 CI 42 44) Highest prevalence of asthma was found in
Australia (215) Sweden (202) United Kingdom (UK) (182) Netherlands
(153) and Brazil (130) The global prevalence of wheezing was estimated to
be 86 (95 CI 85-87) (To et al 2012)
In India the pooled prevalence of asthma across all the 12 centres in different states
was 205 (228 in rural and 164 in urban) A population based study
18
conducted in north-west India shows a prevalence of chronic bronchitis bronchial
asthma and Chronic Obstructive Pulmonary Disease (COPD) as 336 118 and
421 respectively (Sharma et al 2016) In a recent study conducted in nine high
focus states of India on data extracted from Annual Health survey and census 2011
they found that households using clean cooking fuel record low incidence of Acute
Respiratory Infections (ARI) (Gouda et al 2015)
A multi centric study on asthma respiratory symptoms and chronic bronchitis
conducted by ICMR found a pooled prevalence across 12 centres for asthma and
chronic bronchitis was 205 (228 in rural and 164 in urban areas) and 349
(407 in rural and 250 in urban areas) respectively (S K Jindal 2006)
22 Air pollution and respiratory symptoms
Air pollution is proven to cause marked effects on the respiratory system Increased
exposure to particulate matter (PM) and other component of toxic air pollution is
associated with higher incidence of acute and chronic upper and respiratory
symptoms including cough and wheeze and chronic lung diseases such as asthma
COPD and lung cancer Adult and children with acute and chronic exposures to high
levels of traffic related air pollution are found to have statistically significant
reduction in pulmonary function parameters Strong links have been established
through both epidemiological and laboratory studies between air pollution and
bronchial asthma High concentrations of air pollutants especially PM10 and other
gaseous constituents have been associated with increased acute exacerbations of
asthma and related hospitalizations Some recent studies particularly in the
developed countries have estimated that there is an increase in PM25 related
19
cardiopulmonary pneumonia and influence related mortality (Arbex MA 2012)
23 Respiratory symptoms and occupational exposures
A Nigerian study conducted to determine the prevalence of respiratory problems and
lung function impairment on 403 male and female quarry workers in the age group
of 10-60 years where 983 used no protective devices and 05 either use apron or
other protective devices while working found a prevalence of respiratory symptoms
like occasional chest pain (476) occasional cough (407) and sputum mixed
with blood (05) (Nwibo et al 2012)
An Indian cross sectional study to assess the respiratory health status and to
determine its predictors on 258 coal based sponge iron plant workers found a
prevalence of 255 89 amp 171 with any chronic respiratory disease asthma
and rhino conjunctivitis respectively (Chattopadhyay 2015)
A cross-sectional study conducted to determine the frequencies of chest radiographic
abnormalities and respiratory symptoms and to study the relation between the
cumulative exposure to respirable dust and quartz and risk of radiographic
abnormalities and respiratory symptoms among 1852 men working in 18 heavy clay
industries found a prevalence of chronic bronchitis (chronic cough and phlegm)
breathlessness while walking with others of the same age group on level ground) and
wheeze (attacks of wheezing or whistling in the chest at any time in the last 12
months) as 142 44 and 206 respectively (Love et al 1999)
A study conducted five decades ago to find out the prevalence of byssinosis and
respiratory symptoms and to compare the ventilatory capacities in the two
20
population due to air pollution comprising 414 English and 980 Dutch male cotton
workers they found an overall prevalence of persistent cough andor phlegm for all
ages (15-64 years) of English town (6835) Dutch town (2794) Dutch rural
(1951) in the card and blow room In the spinning room the prevalence was
3696 2105 1108 in the respective places (Lammers et al 1964)
An Indian study conducted to find out the prevalence of respiratory symptoms and
lung function status on 274 male workers with a reference group of 54 subjects of
various processing units in the carpet industry at Bhadoi found an overall prevalence
of respiratory symptoms like wheezing chest tightness shortness of breath cough
etc among the exposed workers 314 (Plt 001) compared to 74 among the
control group (Rastogi et al 2003)
An Iranian study conducted to evaluate the respiratory symptoms and lung capacities
on 176 workers exposed to silica dusts and various chemicals like kaolin Na2SO4
NaCo3 ZnO2 and 115 unexposed workers of a tile factory in Yazd found a
respiratory symptoms prevalence of Work Related Lower respiratory symptoms of
(188 amp 78) Work Related Upper respiratory symptoms of (17 amp 52) and
Chronic Obstructive Pulmonary Symptoms of (21 amp 104) respectively (Halvani
et al 2008)
A study conducted to find out the possible respiratory effects resulting from air-
borne exposures to metal-working fluids on 1042 male automobile machinists and
744 unexposed assembly workers in Michigan at three General Motors facilities
found a respiratory symptoms prevalence of usual cough (2015 vs 2570) usual
phlegm (1815 vs 2582) wheezing (2361 vs 1854) chest tightnessgt1
21
week (1239 vs 1523) and dyspnoea (8322 vs 6648) (Greaves et al
1997)
A study conducted to find out whether welding at work increases the risk of asthma
symptoms wheeze and chronic bronchitis symptoms of males in 22 European
centres in 10 countries on 316 welders exposed to welding fumes and a comparison
group of 2610 they found a prevalence of asthma symptoms or medication (77)
wheezing (170) and chronic bronchitis (158) in welders and 96 139 and
111 in the referent group respectively (Lilienberg et al 2008)
A study conducted to estimate the prevalence of work-related symptoms suggesting
the presence of allergic disease reported by cleaners on Polish workers (957
women) of cleaning service in their workplaces found a prevalence of 472 during
cleaning work for at least one respiratory symptoms among dyspnoea cough and
wheezing (Lipinska-Ojrzanowska et al 2014)
24 Respiratory symptoms and indoor air pollution
In most developing countries indoor air pollution due to use of biomass fuels for
cooking is a risk factor for respiratory morbidity Research in Mozambique to assess
the exposure levels of indoor air pollution on the health status of adult women
Maputo found those who used wood as the principal fuel had a significantly higher
cough index than users of modern fuel (plt 00005) Prevalence of cough among
wood users was 9 percent compared to (322) among modern fuel users (Ellegard
1996)
In a study based in a semi-rural area of Cameroon to determine the prevalence of
22
respiratory symptoms and the factors associated with reduced lung function on adult
women exposed to cooking fuel smoke with women using wood (n= 145) and
women using alternative sources of energy (n= 155) they found a prevalence of
chronic bronchitis of 76 amp 06 and dyspnoea on exertion of 221 amp 52
respectively (Ngahane et al 2015)
A study conducted on 1082 never smoking women aged 20-40 years to determine
the effects of indoor air pollution exposure on respiratory symptoms and illnesses in
non-smoking women and who were not occupationally exposed to Indoor Air
Pollution They found cough (334) as the highest prevalent respiratory symptom
and wheezing (82) was lowest and others were phlegm (178) blocked-runny
nose (164) and shortness of breath (328) They found statistically significant
association of Environmental Tobacco Smoke and use of biomass fuels with cough
[OR (95 CI) 134 (111-161) amp 136 (107-174) respectively] and shortness of
breath [OR (95 CI) 127 (104-155) amp 140 (112-175) respectively] (Stankovic
et al 2011)
A Chinese study on 5231 seventh grade school children in the spring of 1999 at 22
public schools in and around Wuhan China found a prevalence of respiratory
symptoms wheezing with cold (194) wheezing without cold (71) bringing up
phlegm with colds (167) bringing up phlegm without colds (57) coughing
with colds (247) coughing without colds (45) Those who used coal in their
households either only for cooking or heating in those households wheezing was
found to be strongly associated with cooking But when coal was used for both
heating and cooking the association with wheezing was found to be stronger
23
(OR=178 95 CI 108-291 for wheezing with colds OR=157 95 CI 094-
264) (Salo et al 2004)
Indian study conducted in rural Odisha where 94 of households were using
traditional stove with biomass fuel as their primary cooking stove and found that
12 of males and 10 of females were having obstructive respiratory disease
About 40 of the population were having moderate to severe restrictive respiratory
disease They have also found that using a clean fuel is associated with lower
probability of having a cold or flu in the last 30 days (Duflo et al 2008)
A study conducted on Indian women using domestic cooking fuels found an overall
13 prevalence of respiratory symptoms Mixed cooking fuel (Chullah Stove and
Liquefied Petroleum Gas (LPG)) users had respiratory symptoms prevalence of 16
percent Whereas the respiratory symptoms were 13 and 11 among chullah and
stove users respectively (Behera and Jindal 1991)
25 Smoking and respiratory symptoms
In an analysis of postal questionnaire surveys conducted to examine the relationship
between cigarette smoking and asthma prevalence in two general practice
populations of less than 45 years including 3488 subjects of whom 407 were
current smokers 163 ex-smokers and 430 never-smokers they found a
prevalence of wheezing (447 236 and 208) cough (439 280 286)
shortness of breath (147 83 84) and chest tightness (282 181 152)
respectively (Frank et al 2006)
A cross-sectional study conducted to examine the association between Second Hand
24
Smoke exposure and respiratory symptoms among non-current smokers in the Unites
States (US) trucking industry including 1562 participants who quitted smoking for
more than 10 years and those exposed to Second Hand Smoke in the last 7 days found
that about 63 were exposed to second hand smoke in the last 7 days and 70 were
exposed to second hand smoke in their childhood They found a prevalence of chronic
cough (98) chronic phlegm (117) any wheeze (478) and any symptoms
(508) respectively (Laden et al 2013)
26 Alcohol and respiratory symptoms
A study conducted to examine the prevalence of Alcohol Induced Nasal Symptoms
and to explore associations between Alcohol Induced Nasal Symptoms and other
respiratory diseases found that it is 3 more than the general population and is often
associated with other important respiratory diseases like COPD asthma and allergic
rhinitis (Nihlen et al 2005)
A similar study conducted to evaluate the incidence and characteristics of alcohol-
induced respiratory reactions in patients with Aspirin Exacerbated Respiratory Disease
in the upper and lower respiratory reactions found that the prevalence of alcohol
induced upper respiratory reactions in patients with Aspirin Exacerbated Respiratory
Disease was 75 compared to 33 in Aspirin Tolerant Asthmatics 30 in Chronic
Rhino Sinusitis and 14 in healthy controls The prevalence of alcohol induced lower
respiratory reactions (wheezingdyspnoea) in patients Aspirin Exacerbated Respiratory
Disease was 51 compared to 20 in Aspirin Tolerant Asthmatics and 0 in both
Chronic Rhino Sinusitis and healthy controls (Cardet et al 2014)
27 Other factors and respiratory symptoms
25
A study conducted through postal questionnaire to study obesity nocturnal gastro-
esophageal reflux and snoring as independent risk factors for onset of asthma and
respiratory symptoms among 16191 adult respondents (53 were female) with a
mean (SD) age of 37 (71) years found that the prevalence of asthma onset gradually
increased with increasing Body Mass Index (BMI) in both males (p for trend= 002)
and females (p for trend= 003) (Gunnbjornsdottir et al 2004)
A Japanese study was conducted on the home environment and the asthma
symptoms of school children in which questionnaires were filled by their parents
They found that presence of dampness absence of ventilation in the living or bed
room residence within 200 meters of the main road water leakage condensation on
window panes and wall to wall carpeting are associated with asthma symptoms
(Cong et al 2014)
A study conducted to find out the association of children‟s respiratory symptoms
with asthma and recent home innovations among 31049 Chinese school children
found that 34 children had home renovation in the past 2 years and the prevalence
of respiratory morbidities like doctor diagnosed asthma current asthma current
wheeze cough and phlegm among children was 66 23 63 96 and 46
respectively Asthma was highest among children with new Poly Vinyl Chloride
(PVC) flooring 111 another renovation 118 and new synthetic carpet 52
(Dong et al 2014)
A Swedish study conducted to assess the association between socio-economic status
and impaired respiratory health in a 10-year follow-up of a population based postal
survey on 2341 males and 2413 females found that manual workers in service
26
showed a significantly increased risk of developing wheeze attacks of shortness of
breath the asthmatic symptom complex chronic productive cough and use of
asthma medicines with Odds Ratios (OR) ranging from 14-18 whereas the socio-
economic class (SEC) professionals showed the lowest incidence of asthma and
most symptoms (Hedlund et al 2006)
28 Respiratory symptoms and populations around industrial areas
Populations around industries are more likely to be in situations that expose them to
high and complex elixir of exposures and also perceive themselves to be at higher
risk of morbidity These are also the most cited reasons for initiation of studies
among people living around these industries (Pascal M et al 2013)
281 Epidemiological methods used to study health effects of pollution
around industrial areas The most commonly used methods are cross
sectional surveys cohort studies case control and panel studies (Pascal M et
al 2013) Ecological studies based on disease incidence and hospital
admissions and association between respiratory symptoms and
measurements of air quality using time series analysis and cross over
analysis also have been used (Pascal M et al 2013) The health outcomes of
most studies done around industrial areas have been on chronic morbidity
including cancers respiratory and other chronic morbidities mortality birth
outcomes and few on mental health Epidemiological areas attempting to
study the effect of industrial pollution on populations are in general limited
by methodological issues like the simultaneous multiple exposures effective
measurement tools confounding factors and the type of outcomes to be
studied
27
282 Respiratory symptoms due to air pollution Epidemiological studies
focused on the effects of air pollution has mostly concentrated on the
prevalence of respiratory symptoms acute and chronic non-specific
respiratory symptoms and those of chronic bronchitis and asthma
(Roychoudhury S et al 2012) The symptoms are considered as an
indication of an underlying respiratory morbidity and are usually a) Upper
respiratory symptoms like runny and stuffy nose cold dry cough sore throat
etc and b) Lower respiratory symptoms like wheezing phlegm shortness of
breath chest tightness etc Symptoms of itchy nose sneezing watery eyes
runny nose characterize allergic rhinitis or inflammation of the mucous
lining of the nose and throat due to allergic reaction Sore throat could
indicate underlying pharyngitis or tonsillitis Cough is the most frequently
reported respiratory symptom in relation to air pollution and could be dry or
productive with mucous Cough is generally indicative of inflammation of
the upper airways and may also indicate severe morbidity conditions like
bronchitis or pneumonia Chronic obstructive lung disease is thought to
represent two lung conditions with varying degrees of air way obstruction -
chronic bronchitis and emphysema Chronic bronchitis is usually
characterized by cough sputum and may have associated symptoms like
chest pain or tightness of the chest and wheezing Bronchial asthma is
characterized by narrowing of airways and produces symptoms like
wheezing chest tightness cough and dyspnoea (Roychoudhury S et al
2012)
28
29 Exposure assessment used
Distance to the concerned chemical plant was used as a surrogate measure for
exposure and have used distance ranges of 0 -10 Kms in concentric circles around
the plants with radii from 1 to 10kms defining different groups Residential history
at a particular location also was taken into account in some studies Lack of emission
data is the most important limitation in exposure assessment and affects even
modeling exercises also Air quality monitoring network for specific criteria were
used by studies where available In addition more objective and clinical assessment
of lung function is carried out by measurement of lung function like forced vital
capacity (FVC) and other flow rates using spirometers In addition more specific
quantitative exposure assessments and modeled concentrations of exposure have
been studied for setting regulatory limits (Pascal et al 2013)
210 Tools used to study respiratory outcomes
Several standard questionnaires have been developed to study respiratory symptoms
COPD and asthma The British Medical Research Council (BMRC) questionnaire
was the earliest to be developed and modified later to be used for epidemiological
purposes to study respiratory symptoms COPD and chronic bronchitis Other
common questionnaires used for epidemiological purposes include the American
Thoracic Society ISAAC questionnaire from the International Study of Asthma and
Allergies in Childhood (ISAAC) and the bdquoBronchial symptoms questionnaire‟
developed by the International Union against Tuberculosis and Lung Disease
(IUATLD) questionnaire and European Community Respiratory which is a modified
version of it(Pascal et al 2013) The Indian council for Medical Research (ICMR)
29
used a standardised and validated questionnaire based on the IUATLD questionnaire
for its multi-centre study to assess the national estimate of prevalence of chronic
nonspecific respiratory symptoms chronic bronchitis and asthma in9 districts one
each from 9 different states (S K Jindal 2006)
211 Objectives
To study the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
To study the risk factors associated with the respiratory symptoms among
them
212 Research questions
What is the prevalence of respiratory symptoms among the adult population
living near the sponge iron industries in Bonaigarh Odisha India
What are the socio-demographic factors associated with those respiratory
symptoms
30
Chapter- 3
Methodology
____________________________________________________________________
31 Study design
Cross sectional study
32 Study setting
The study was conducted among adults aged 18-65 years of 29 villages within a
radius of 5 kilometres of a group of sponge iron industries in Bonai Block Odisha
India
33 Sample size
The sample size was calculated assuming a prevalence of respiratory symptoms as
17 (Hinson et al 2016) with a precision of 4 at 95 confidence interval The
total population of all the villages was assumed as 26000 (Census 2011) Expecting
a non-response rate of 20 the minimum sample size estimated was 402 and was
rounded off to 410
34 Sample selection procedure
A multi stage random sampling method was used to select the respondents Twenty
nine villages within a radius of 5kms from any of a group of 13 sponge iron
industries There were a total of 6350 households with a total population of 26000
in these villages
31
The villages were divided into 3 strata according to the number of households
Strata -1 had 11 villages (less than 100 households)
Strata -2 had 9 villages (101-200 households)
Strata -3 had 9 villages (more than 200 households)
From each strata the following number of households were selected in proportion to
the number of households in the
i) Strata-1 (646 households) 42 participants from 11 villages
ii) Strata-2 (1315 households) 85 participants from 9 villages
iii) Strata-3 (4389 households) 283 participants from 9 villages
The first household in each village was selected using a random number method and
if any of the randomly chosen household were closedrefused to consent then the
next household was approached and this process was continued till sample size was
achieved
35 Selection of the individual participants
The eligible participants within each household were listed and one member was
randomly selected and interviewed
351 Inclusion criteria
1 Participants residing in the selected study villages since last 6 months prior
to the date of study
2 Participants in the age group of 18-65 years
32
36 Data collection techniques
A structured interview schedule based on the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) by Indian
Council for Medical Research (ICMR) in the local language Odia was used to
collect data The principal investigator himself collected the data
Consent was taken from individual respondent with a participant information sheet
and a consent form ensuring of privacy and confidentiality before the interview
Privacy of data was ensured during the interview by conducting it in a space within
the participant‟s house as per herhis choice
37 Plan for data collection and analysis
Data collection was done from June 10th
to August 31st 2017 by the principal
investigator Data entry was done simultaneously using Epi Data version
31software
All the interviews were recorded in the structured questionnaire for respiratory
symptoms and then the collected quantitative variables were analyzed using
Quantitative Data Analysis Software SPSS version20
Data cleaning was done in three phases In the first phase it was cleaned concurrent
to data collection in the field The second phase was manual rechecking of hard
copies just before digitization of records In the final stage that is just after data entry
using Epi Data version 31software records were rechecked for wrong entries and
the errors were rectified After validation it was saved as (csv) file and then data
was imported using IBM SPSS Statistics for Windows Version 210 IBM Corp
2012for further analysis
33
38 Data analysis
Data was analyzed using bdquoIBM SPSS Statistics‟ software version 21 to study the
sample characteristics and to estimate the prevalence and associated factors of
respiratory symptoms among the adults (18-65 years) The p value of lt005 was
considered as significant with 95 Confidence Interval (CI)
381 Univariate analysis
Prevalence of respiratory symptoms was assessed by measuring the frequencies of
various respiratory symptoms
382 Bivariate analysis
Both predictor and outcome variables were recorded into binary (dichotomous)
variables with reference category (value label=0) and non-reference category (value
label=1) before doing bivariate analysis The bivariate analysis was done by cross
tabulation of various categorical variables with the outcome variable (Respiratory
Symptoms) using Chi-square tests to identify significant associations between
independent variables Independent variables showing significant chi-square (p-
values) test were considered as possible associated factors
The data collected was analysed using univariate and bivariate analysis A
preliminary analysis to look for the prevalence of the various respiratory symptoms
and bivariate analysis was done to look for associations between the outcome
variable (respiratory symptoms) and the independent variables
34
39 Study tool
A structured interview schedule was used for data collection was adapted from the
validated questionnaire used in the Phase II of the Indian Study on Epidemiology of
Asthma Respiratory Symptoms and Chronic bronchitis (INSEARCH) (S K Jindal
2006)
310 Operational definitions
3101 Respiratory symptoms Symptoms of wheezing and tightness in the chest
shortness of breath cough and phlegm in the morning and night breathing difficulty
and shortness of breath and chest tightness due to exposure to dust were called
respiratory symptoms Participants were asked whether they have experienced such
symptoms in the last 12 months and all of them were collected using binary codes 0
for No and 1 for Yes
3102 Adults Participants above the age of 18 years and less than equal to 65 years
were called adults
3103 Associated factors Factors like Age Sex Body BMI Smoking Alcohol
Separate kitchen Dampness Physical Activity Occupation Fuel type Ventilation
Residential status and Socio-economic factors like Housing type Type of ration card
were taken as associated factors
311 Expected Outcomes
The expected outcomes were the prevalence of respiratory symptoms among the
adult population living near the sponge iron industries in Bonaigarh Odisha India
The other expected outcome was to study the find out the association of those
symptoms with various demographic factors like agesexreligiontype of
housefamily sizeSocio-economic status and individual and household factors like
35
type of house dampness in the house cooking fuel use and smokingalcohol
consumption
312 Project Management
3121 Staffing
The study was done by the Principal Investigator himself The structured interview
schedule was administered and filled by the principal investigator
3122 Work plan Work plan is given in the Gantt chart Fig 31
Fig 31 Work plan for the whole project
____________________________________________________________________
2017 April May June July August September October
Technical
clearance
Ethical
clearance
Data
Collection
Data Entry
Data
Analysis
Submission
of Results
3123 Administration
Principal investigator himself has carried out the data collection data entry data
analysis and report submission The data collected daily was reviewed and entered in
Epi Data version 31software on the same day Any doubts that arise from the
questionnaire were clarified on the next day by visiting the household again
36
3124 Data storage transfer and management
The data collected was stored in the computer with password encryption of the file
The hard copy of the filled questionnaire consent form and data from the structured
interview schedules was strictly confined to personal locker of the principal
investigator in sealed covers and were not shared with anyone After three years the
entire hard copies will be destroyed Only the final report will be shared with the
concerned persons authorities scientific or government bodies
313 Ethical considerations
Ethical clearance was obtained from the Institutional Ethics Committee (IEC) of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) vide
letter no SCTIEC1041MAY-2017 dated 13062017 An information sheet was
provided to the prospective subjects and their queries were addressed After they
agreed to participate in the study their signatures were taken on the informed
consent form Those who denied for participating in the study were asked about the
reason for denial and then noted Next household was approached Those subjects
who were found with respiratory symptoms were referred to the local hospital for
further diagnosis and treatment A unique participant ID was provided to each
subject (001-410) to maintain the anonymity and confidentiality of the data The
unique identifiers were used during analysis
314 Plan for dissemination
The final thesis report was submitted for the fulfillment of the requirements of the
MPH degree by the end of October 2017 The findings of the study will be shared
37
with the local panchayat leaders and non-governmental agencies The study and its
findings will be shared with peers through journal articles and scientific conference
presentations
38
Chapter- 4
Results
This chapter presents the findings of the cross-sectional community based survey on
the prevalence of respiratory symptoms in Bonaigarh block conducted from 10th
June to 31st August 2017The names must be the same throughout
A total of 495 houses were visited and of those 85 households (172) did not
consent to take part in the study (response rate= 83) Bonaigarh is a rural area and
based on the observation that most of the households in the study area were locked
in the mornings and due to the rains the sample collection was done during the
evenings The main reasons reported for refusing to take part in the survey were
exhaustion after their day‟s work in fields and the absence of incentives to take part
in the study final sample included 410 households The socio-demographic
characteristic of the sample is detailed in section 41
41 Sample characteristics
In this study sample majority of respondents were men (639) It was partly due to
the social practices in the area wherein women participated in the study only if the
males were absent or were busy at the time of data collection
The median age of the participants was 40 years (18-65) Median age of men and
women was 42 years (18-65) and 395 years (18-65) respectively Distribution of
males and females in different age categories is given in Fig 41 (page-39)
39
411 Education About a quarter of the sample population had no schooling and
only less than 10 percent were graduates Sixty seven percent of the sample had
attended primary school or up-to high school and 33 percent above high school
412 Occupational status Majority of the study population were agriculturists or
manual laborers About 280 were home makers Rest 720 had regular income
earning occupations There were about 93 participants who have ever worked in a
factory and all of them have worked in either a sponge iron factory or in a steel
plant Presently there were only 31 factory workers means there was a high rate of
leaving factory jobs (667) in the study population
413 Socio - economic status The socio-economic status of the population was
determined by the type of ration card they own The proportion of households with a
bdquobelow poverty line‟ or bdquoBPL‟ category ration card was 783 (including those
under Antyodaya scheme and BPL) and those who belonged to the bdquoAPL category‟
were 217
Fig 41 Distribution of males and females in different age categories
Almost all of the participants were Hindus and only 48 (117) were currently not
married (neverdivorcedwidow) Table 41 (page-40) gives the sample
characteristics
40
Table 41 Socio-demographic factors of the sample
Variables Category
Frequency ()
N=410
Age (years) 18 - 25 48 (117)
26 - 60 327 (798)
61 - 65 35 (85)
Sex Male 262 (639)
Female 148 (361)
Education No schooling 99 (241)
Primary 133 (324)
High school 142 (346)
Graduate 34 (83)
Post graduate and above 2 (05)
Occupation Office work 24 (59)
Manual work 75 (183)
Agriculturist 103 (251)
Business 28 (68)
Factory 31 (76)
Others 149 (363)
Family size 1-4 members 225 (549)
gt4 members 185 (451)
Pet animals House with pet animals 263 (641)
House without pet animals 147 (359)
414Household size On an average the households had 47 (47 plusmn 19) members
including children
415 Housing characteristics Table 42 (page-41) gives the housing characteristics
of the sample
41
Table 42 Housing characteristics of the sample
____________________________________________________________________
Housing Characteristics Total 410 (100)
Kuchcha building 236 (576)
Pucca building 174 (424)
Separate kitchen 191 (466)
No kitchen 219 (534)
4151 Dampness in the house Around 69 percent reported dampness in any one
of their rooms
4152 Cooking practices and nature of the kitchens About 191 (47) of the
households had a separate kitchen and 327 (80) cooked cooking inside the house
and about 20 percent reported that they cooked outdoors in the open Among those
with separate kitchen around 80 had no windows 162 had windows About
half of those who had a separate kitchen had ventilators and only less than two
percent had exhaust fans
4153 Cooking stove Chullahs were the most common (76) followed by LPG
stove in about 23 percent of the houses
The average number of bedrooms per household was 19 (19 plusmn 13) And the mean
number of doors and windows excluding toilet and kitchen was 24 (24 plusmn 19) and
14 (14 plusmn 19) respectively
416 Cooking fuel and practices Wood was the most commonly used fuel for
cooking purposes (746) followed by LPG (Liquid Petroleum Gas) The high
percentage of LPG use was because many BPL households had new LPG
connection through the bdquoUjjwala scheme‟ of the Government of India Only about
42
twenty four percent of the households regularly used clean fuels (LPG electricity)
while the rest used biomass fuels or kerosene
Among 36 percent of the respondents who reported that they regularly cook around
91 percent were women The average time spent on cooking was found to be 33 plusmn
10 hours
417 Residence in the area All the respondents selected were living in the study
area for more than six months as per the inclusion criteria Most of the participants
(n=358 873) were residing in the study area The median number of years of
residence in the area was 400 (05-650) years Around 87 were born and brought
up in the area
42 Behavioural factors Table 43 gives the list of behavioural factors found in the
study population
Table 43 Behavioural factors of the study population
________________________________________________________________
Factors Category Total 410 (100)
Smoking history Yes 78 (190)
No 332 (810)
Alcohol use Yes 153 (373)
No 257 (627)
BMI lt 185 134 (327)
185 - 249 221 (539)
250 - 299 42 (102)
gt=300 13 (32)
421 History of smoking More than 80 of study participants were Non-smokers
There were 78 (190) ever smokers out of which 22 (54) admitted to smoking in
the last one month and the rest have left smoking All the smokers were men except
single women
43
422 History of alcohol use About one third of study participants (373) had ever
consumed alcohol out of which 119 (290) admitted to have taken alcohol in the
last one month Most of the ever alcohol users were males (n=147 359) except 6
females (15)
423 Body Mass Index (BMI) The proportion of the study sample that were
overweight was 102 and obese was 32 The mean BMI of males and females
was 2036 (2036 plusmn 348) and 2027 (2027 plusmn 368) kgm2
43 Prevalence of respiratory symptoms
The overall prevalence of respiratory symptoms is presented in Table 44 and Fig 42
(page-45)
Table 44 Prevalence of respiratory symptoms in the study population
Respiratory Symptoms
Prevalence N= 410
n() 95 CI
Wheeze 62 (151) 119 - 189
Morning breathlessness 53 (129) 100 - 165
Breathlessness on exertion 155 (378) 332 - 426
Breathlessness without exertion 33 (80) 58 - 111
Breathlessness at night 64 (156) 124 - 194
Cough at night 88 (215) 178 - 257
Cough in morning 96 (234) 196 - 278
Phlegm in morning 85 (207) 171 - 249
Usually breathless 91 (222) 184 - 265
Breathing never satisfactory 13 (32) 18 - 54
Chest tightness on dust exposure 38 (93) 68 - 125
Breathlessness on dust exposure 207 (505) 457 - 553
Ever Asthma 9 (22) 11 - 42
Any of the above symptoms 325 (793) 751 - 829
Around half of the respondents reported having suffered breathlessness on dust
exposure in the reference period and about 793 percent had any one of the
44
respiratory symptoms listed
44 Association of respiratory symptoms with individual and household factors
441 Wheezing and morning breathlessness with individual and household
factors Wheezing was found significantly higher among smokers than non-
smokers Similarly participants who reported dampness in any one of their rooms
were more prone to wheezing than those without dampness Dampness at home was
also associated with higher proportion of morning breathlessness See Table 45
(page-46)
442 Breathlessness on exertion and without exertion with individual and
household factors Breathlessness on exertion was significantly higher among
participants with educational status below high school level than high school and
above Having pet animals at home also increases the chance of breathlessness than
not having pet animals
Breathlessness on exertion was found to be significantly higher those who reported
dampness in their homes where as breathlessness without exertion was found to be
significantly associated with dampness in their homes and among males See Table
46 (page-47)
45
Fig 42 Overall Prevalence of respiratory symptoms
443 Breathlessness and cough at night with individual and household factors
Prevalence of breathless at night and cough at night was not associated with any of
the individual and household characteristics See Table 47 (page-48)
444 Cough and phlegm in the morning with individual and household factors
Cough in the morning was significantly higher in households with more than 5
members According to the inclusion criteria all the respondents were living in the
area for more than 6 months Males and those with dampness inside home had a
significantly higher experience of having both cough and phlegm in the morning
Respondents living in the study area since birth had significantly higher proportion
of cough in the morning than the others See Table 48 (page-49)
46
445 Chest tightness and breathlessness on dust exposure with individual and
household factors Presence of chest tightness on dust exposure was significantly
higher among males and among agriculturalmanual laborers See Table 49 (page-
50)
Table 45 Association of wheeze and morning breathlessness with individual
and household factors
Respiratory symptoms
Factors
Wheeze
n=62 n ()
P-
values
Morning
breathlessness
n=53 n ()
P-
values
Age (years)
0945
0701
18 - 25 8 (129)
8 (151)
26 ndash 60 49 (790)
41 (774)
61-65 5 (81)
4 (75)
Sex
0209
079
Male 44 (709)
33 (623)
Female 18 (290)
20 (377)
Occupation 0291
0795
AgricultureDaily
wagers 30 (484)
25 (472)
Office workBusiness 13 (210)
12 (226)
Home makers 12 (194)
12 (226)
Factory workers 7 (113)
4 (76)
Socio-economic status 0626
0373
AntyodayaBPL 50 (156)
39 (736)
APLNo ration card 12 (135)
14 (264)
Residential status 044
0572
Living since birth 56 (156)
45 (849)
Lived for at least 6
months 6 (115)
8 (151)
Smoking history 0029
0685
Ever smoker 18 (231)
9 (170)
Never smoker 44 (133)
44 (830)
Dampness 0005
0017
Yes 52 (184)
44 (830)
No 10 (78)
9 (170)
47
Table 46 Association of breathlessness on exertion and breathlessness without
exertion with individual and household factors
Respiratory symptoms
Factors
Breathlessness on
exertion n=155
n ()
P-
values
Breathlessness
without
exertion n=33
n()
P-
values
Age (years) 0218
0686
18 - 25 18 (116)
3 (91)
26 - 60 119 (768)
26 (788)
61-65 18 (116)
4 (121)
Sex
0664
0021
Male 97 (626)
15 (455)
Female 58 (374)
18 (545)
Occupation 0895
0427
AgricultureDaily
wagers 72 (465)
13 (394)
Office workBusiness 29 (187)
6 (182)
Home makers 43 (277)
13 (394)
Factory workers 11 (71)
1 (30)
Socio-economic status 0101
0608
AntyodayaBPL 128 (826)
27 (818)
APLNo ration card 27 (174)
6 (182)
Residential status 0681
0322
Living since birth 134 (865)
27 (818)
Lived for at least 6
months 21 (135)
6 (182)
Smoking history 0699
0129
Ever smoker 28 (181)
3 (91)
Never smoker 127 (819)
30 (909)
Dampness
0012
0092
Yes 118 (761)
27 (818)
No 37 (239)
6 (182)
Education
002
0051
Below Highschool 99 (639)
24 (727)
Highschool and above 56 (361)
9 (273)
Pet animals lt 0001
0949
House with pet
animals 116 (748)
21 (636)
House without pet
animals 39 (252)
12 (364)
48
Table 47 Association of breathlessness and cough at night with individual and
household factors
____________________________________________________________________
Respiratory symptoms
Factors
Breathlessness at
night n=64 n()
P-
values
Cough at night
n=88 n ()
P-
values
Age (years) 016
0161
18 - 25 9 (141)
13 (148)
26 - 60 46 (719)
64 (727)
61-65 9 (141)
11 (125)
Sex
0664
0418
Male 41(641)
53 (602)
Female 23 (359)
35 (398)
Occupation 0619
0387
AgricultureDaily
wagers 26 (406)
37 (420) Office
workBusiness 16 (250)
15 (170)
Home makers 16 (250)
31 (353)
Factory workers 6 (94)
5 (57)
Socio-economic status 0972
054
AntyodayaBPL 50 (781)
71 (807)
APLNo ration card 14 (219)
17 (193)
Residential status 0648
0435
Living since birth 57 (891)
79 (898)
Lived for at least 6
months 7 (109)
9 (102)
Smoking history 0185
0594
Ever smoker 16 (250)
15 (170)
Never smoker 48 (750)
73 (830)
Dampness 0079
0146
Yes 50 (781)
66 (750)
No 14 (219)
22 (250)
49
Table 48 Association of cough and phlegm in morning with individual and
household factors
Respiratory symptoms
Factors
Cough in
morning n=96
n ()
P-
values
Phlegm in
morning n=85
n ()
P-
values
Age (years) 0899
09
18 - 25 12 (125)
9 (188)
26 - 60 75 (781)
68 (208)
61-65 9 (94)
8 (229)
Sex
001
0028
Male 72 (750)
63 (741)
Female 24 (250)
22 (259)
Occupation 0453
0339
AgricultureDaily
wagers 47 (489)
44 (518)
Office
workBusiness 20 (208)
17 (200)
Home makers 21 (219)
18 (212)
Factory workers 8 (83)
6 (71)
Socio-economic status 0603
0647
AntyodayaBPL 77 (802)
65 (765)
APLNo ration
card 19 (198)
20 (235)
Residential status 0012
008
Living since birth 91 (948)
79 (929)
Lived for at least
6 months 5 (52)
6 (71)
Smoking history 0185
0235
Ever smoker 74 (771)
65 (765)
Never smoker 22 (229)
20 (235)
Dampness 0045
0146
Yes 74 (771)
64 (753)
No 22 (229)
21 (247)
Family size 0021
0084
1-5 members 63 (656)
55 (647)
gt5 members 33 (343)
30 (353)
50
Table 49 Association of chest tightness and breathlessness on dust exposure
with individual and household factors
____________________________________________________________________
Respiratory symptoms
Factors
Chest tightness on
dust exposure
n=38 n()
P-
values
Breathlessness on
dust exposure
n=207 n ()
P-
values
Age (years) 0734
0235
18 - 25 5 (132)
20 (97)
26 - 60 31 (816)
172 (831)
61-65 2 (53)
15 (72)
Sex
0043
05
Male 30 (789)
129 (623)
Female 8 (211)
78 (377)
Occupation 0041
0086
AgricultureDaily
wagers 22 (579)
82 (396)
Office
workBusiness 7 (184)
48 (232)
Home makers 4 (105)
57 (275)
Factory workers 5 (132)
20 (97)
Socio-economic status 0918
0463
AntyodayaBPL 30 (789)
159 (768)
APLNo ration
card 8 (211)
48 (232)
Residential status 0352
0334
Living since birth 35 (921)
184 (889)
Lived for at least
6 months 3 (79)
23 (111)
Smoking history 0102
0924
Ever smoker 11 (289)
39 (188)
Never smoker 27 (711)
168 (812)
Dampness 0258
0576
Yes 31 (816)
145 (700)
No 7 (184)
62 (300)
Chapter- 5
Discussion
51
The objectives of this study was to find out the prevalence of respiratory symptoms
among the adult population living near the sponge iron industries in Bonaigarh Odisha
India and the factors associated with those respiratory symptoms among them The
prevalence of various respiratory symptoms estimated by the current study is presented in
Table 51
For comparison the estimates for rural Odisha from the Indian Study of Asthma
Respiratory Symptoms and Chronic Bronchitis (INSEARCH) multi-centric study done in
2007-2009 is also included
Table 51Prevalence of respiratory symptoms among adults near sponge iron industries
Bonaigarh
Respiratory symptoms Current study
(Bonaigarh)
Prevalence (95 CI)
ICMR multi-centre study
estimates for rural Odisha
Prevalence (95 CI)
Wheeze 151 (119 - 189) 22 (14 ndash 33)
Morning breathlessness 129 (100 - 165) 23 (15 ndash 35)
Breathlessness on exertion 378 (332 - 426) 51 (39 ndash 67)
Breathlessness without
exertion
80 (58 - 111) 33 (24 ndash 46)
Breathlessness at night 156 (124 - 194) 21 (14 ndash 32)
Cough at night 215 (178 - 257) 39 (29 ndash 53)
Cough in morning 234 (196 - 278) 29 (20 ndash 42)
Phlegm in morning 207 (171 - 249) 25 (17 ndash 37)
Breathing never satisfactory 32 (18 - 54) 19 (12 ndash 30)
Usually breathless 222 (184 - 265) 10 (05 ndash 17)
Chest tightness on dust
exposure
93 (68 - 125) 34 (24 ndash 47)
Breathlessness on dust
exposure
505 (457 - 553) 32 (23 ndash 45)
Ever asthma 22 (11 - 42) 28 (19 ndash 40)
Any of the above symptoms 793 (751 ndash 829) 69 (55 ndash 87)
The prevalence of the various respiratory symptoms among the people living near the
sponge iron industries in Bonaigarh estimated by the current study is considerably
52
higher than the figures estimated for rural Odisha by the INSEARCH national study
on the prevalence of respiratory symptoms The rural study site for the multi-centric
study was Berhampur Odisha where there are no sponge iron industries but is known
to have only smaller crusher and granite processing units rice mills and distillation
units (Brief Industrial Profile of Ganjam District MSME- Development Institute
Cuttack 2012-13) Sponge iron industries emit high levels of dust sulphur dioxide
and coal char and are known to cause respiratory symptoms like cough phlegm
chronic bronchitis etc (Patra HS et al 2012 Cerena Foundation 2006) All the
participants of this study lived within five kilometers of a group of twelve sponge
iron factories in Bonaigarh Their exposure to the emissions from the nearby factories
may be a factor responsible for such high prevalence of respiratory symptoms in the
study population However larger studies would be required with more objective
measurements of source emissions exposure assessment and lung function to
determine whether the observed high prevalence of respiratory symptoms are indeed
due to the emissions from the sponge iron factories Despite industrial air pollution
being a major cause of industrial air pollution studies on respiratory symptoms of
people near them are limited Most prevalence studies conducted in India on
respiratory symptoms have either data on their work exposure or exposure to indoor
pollution or respiratory symptoms of school children (Jindal 2007 Viswanathan et
al 1966 Chhabra et al 1998 Gupta et al 2001) Periodic surveillance of industrial
emissions and health outcomes of people living close to the industries is also required
in India to prevent such avoidable morbidity
The other objective of the current research was to study the factors associated with
the respiratory symptoms in the study population In the current study wheeze was
53
significantly associated with smoking (p= 003) Similar findings has been reported
by other studies the one conducted on elderly individuals in Japan found that the
odds of having wheeze and phlegm was two times higher among heavy smokers
compared to non-smokers (Ichimura et al 2001) There are other studies which
show an association of wheeze with smoking (Chhabra et al 2008 Brunekreef
1992 Kumar 2014 Bakke et al 1991)The other major factor associated with
wheezing (p= 001) as well as cough in the morning (p= 005) morning
breathlessness (p= 002) and breathlessness on exertion (p= 001) was dampness
inside homes Previous studies have reported significant association between
respiratory symptoms like cough and phlegm with dampness in the house in both
men and women (Brunekreef 1992) A meta-analysis of the association of the health
effects with dampness and mould in buildings has found that adults living with
dampness in their homes had 168 times risk of having wheeze than those without
dampness (Fisk et al 2007)
Breathlessness on exertion was found to be associated with education (p= 002)
Those who were less educated reported more respiratory symptoms than those who
were educated This could be due to the fact that most of the less educated were
farmers or manual laborers and are more likely to be exposed to ambient air
pollution Studies from similar settings have found similar association between
higher education and lower rates of respiratory symptoms (Ehrlich et al 2004)
In this study cough in the morning was found to be associated significantly with male
sex (p= 001) family size of (p= 0021) dampness inside the house (p= 0045) and
having lived in the area since birth (p= 0012) We found that the residents living in the
54
area from their birth onwards (n= 91 254) had a higher prevalence of cough in the
morning Similar findings were observed in population on prevalence of respiratory
symptoms with a lifetime exposure to occupational dust or gas (n= 4469 29) which
shows an increase in the prevalence when adjusted for sex smoking habits and age
(Bakke et al 1991) Association of family size and cough in the morning was also
found in a study done in England on the home environment of school children
belonging to ethnic groups They found that families with four or more than four was
had significantly higher prevalence of cough in the morning Area of residences was
also found to be associated with the area of residence with the prevalence of morning
cough wheezing and bronchitis Association of cough with overcrowding or family
size was rarely explored in studies done in India whereas one study which looked into
it found no association between overcrowding on prevalence of respiratory symptoms
in adults (Mathew et al 2015) There is a potential scope for such research in India
where overcrowding and large family sizes are common and to examine its impact on
people‟s respiratory health
Phlegm in the morning was also significantly associated with males Prevalence of
phlegm in particular was found to be more among men in various studies (Jindal 2006
Boezen et al 1995 Chhabra et al 2008 Ichimura et al 2001 Kumar 2014)Whether
the association of phlegm and cough in the morning with male sex is due to the
biological ability to cough out sputum or culturally more acceptable for men to spit out
sputum or due to differentials in exposures needs to be explore further
In the current study cough at night and breathlessness at night were not associated
with any of the socio-demographic factors studied However several studies have
55
found older adults to have higher prevalence of cough at night including the Dutch
participants of the European Community Respiratory Health Survey (ECRHS)
(Boezen et al 1995) A study in India reported higher prevalence of chronic cough
among adults in the age group of 51-70 (Chhabra et al 2008) However cough at
night and chronic cough were found to be more prevalent among old adults in many
studies further studies can be designed to explore this association further
Breathlessness on exertion was also associated with participants having pet animals
(plt 0001) in their home and dampness inside homes as described earlier More than
half of the respondents who reported that they had pet animals were also farmers
andor manual laborers Pets included mostly cows andor bullocks andor hens
andor cocks This indicates the possibility of multiple exposures and therefore
more exploratory research with objective exposure measurements will be required to
comment on any conclusive linkages between pet ownership and respiratory
symptoms A study from Japan has reported pet ownership being associated with
higher prevalence of respiratory symptoms (wheezing andor breathlessness andor
cough) (Suzuki et al 2005) Similarly a study from Denmark found that dairy
farming was associated with breathlessness andor wheezing andor cough (Iversen
et al 1988) Another study among European animal farmers found a dose-response
relationship between the occurrence of shortness of breath cough with phlegm flu-
like illness and the number of hours spent daily inside the confinement houses for
pigs Similar dose-response relationship between wheezing and nasal irritation
among poultry farmers (Radon et al 2001) In this study almost all the households
had few animals in number Based on observations during data collection for this
study the animals were raised as free-range and were only kept under bamboo
56
baskets outside homes and had separate sheds for cows and bullocks Whether
ownership of pet animals is associated with higher prevalence of respiratory
symptoms could be explored in future studies related to respiratory symptoms in the
country
However breathlessness without exertion was found to be significantly more among
women (p= 0021) Reasons for such an association can only be speculated Since
females were solely responsible for cooking household chores like dusting and
cleaning taking care of animals and also may be involved in other occupations it
could be due to indoor air pollution or a due to multiple exposures due to their roles
and activities within the household and outside Further studies can be conducted to
find out the relationship of respiratory symptoms considering the differentials in
exposure to indoor and outdoor air pollution
Breathlessness on dust exposure was reported by more than fifty percent of the
respondents but was not associated with any of the socio-demographic variables
studied Since lung function impairment was not assessed and identification of
breathlessness was through a questionnaire it is difficult to differentiate whether the
symptom of breathlessness on dust exposure was a result of reduction in lung
function or a just the physical difficulty in taking a breath during exposure to dust
Chest tightness on dust exposure was reported by close to ten percent of the
respondents and was significantly more among men and among agriculturalmanual
laborers
51 Strengths
57
Inter observer bias was minimized since the whole data was collected by a single
investigator
The self-reported respiratory symptoms was assessed using a standardized and
validated bronchial symptoms questionnaire
52 Limitations
The study used a cross-sectional design and therefore firm conclusions about the
associations and directions of causality cannot be drawn
Objective measurement of exposure levels and lung function were not done due to
economic and practical constraints
53 Conclusion The prevalence of respiratory symptoms among people living near a
group of sponge iron industries in Bonaigarh is considerably higher than those
reported from similar rural areas in Odisha However due to the limitations in the
design sample size and measurements these findings can only be indicative of such
morbidity in the community Further studies with appropriate study designs objective
emission and exposure measurements and consideration of the multiple exposures in
the community (including indoor air pollution) are required to assess whether ambient
air pollution due to emissions from polluting industries like sponge iron industries
predispose communities living near them to excess risk of respiratory morbidities
In the short term steps could also be taken by the regulatory authority to set up
ambient air pollution monitoring stations around such polluting industries to regular
monitor the industrial emissions
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58
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Duflo E Greenstone M and Hanna R (2008) Cooking stoves indoor air pollution
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Ehrlich RI White N Norman R et al (2004) Predictors of chronic bronchitis in
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Fisk WJ Lei-Gomez Q and Mendell MJ (2007) Meta-analyses of the associations of
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Frank P Morris J Hazell M et al (2006) Smoking respiratory symptoms and likely
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Hegerl GC F W Zwiers P Braconnot NP Gillett Y Luo JA Marengo Orsini
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Iversen M Dahl R Korsgaard J et al (1988) Respiratory symptoms in Danish
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Janson C Chinn S Jarvis D et al (2001) Determinants of cough in young adults
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Jindal SK (2006) Indian Study on Epidemiology of Asthma Respiratory Symptoms
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vASZz6zoDwampq=Sponge+iron++SIMA2C+2014ampoq=Sponge+iron++SI
MA2C+2014ampgs_l=psy-
ab332422383620389271916000023016555j8j114001164ps
y-
ab6350635i39k1j0i7i30k1j0i67k1j0i7i10i30k1j0i8i7i10i30k10PxzDW
2vSJzM
Kumar M (2014) An occupational health exposure study in Iron Industry of
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Laden F Chiu Y-H Garshick E et al (2013) A cross-sectional study of secondhand
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Lammers B Schilling RSF Walford J et al (1964) A Study of byssinosis Chronic
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Singapore Chinese Health Study American journal of epidemiology 163(12)
1118ndash1128
Lillienberg L Zock J-P Kromhout H et al (2008) A Population-Based Study on
Welding Exposures at Work and Respiratory SymptomsThe Annals of
Occupational Hygiene 52(2) 107ndash115 Available from
httpsacademicoupcomannweharticle522107278819A-
PopulationBased-Study-on-Welding-Exposures-at
Lipińska-Ojrzanowska A Wiszniewska M Świerczyńska-Machura D et al (2014)
Work-related respiratory symptoms among health centres cleaners A cross-
sectional study International Journal of Occupational Medicine and
Environmental Health 27(3) Available from httpijomeheuWork-related-
62
respiratory-symptoms-among-health-centres-cleaners-a-cross-sectional-
study203202html
Love RG Waclawski ER Maclaren WM et al (1999) Risks of respiratory disease
in the heavy clay industry Occupational Environmental Medicine 56 124ndash
133Available from
httppubmedcentralcanadacapmccarticlesPMC1757705pdfv056p00124
Lynda JLombardo and John R Balmes (2000) Occupational Asthma A Review
108(4) 697ndash704 Available from
httpswwwncbinlmnihgovpmcarticlesPMC1637677pdfenvhper00313-
0096pdf
Mathew P Er I Ur S et al (2015) Prevalence and risk factors for respiratory
morbidity among high school students of South India International Journal
of Research in Medical Sciences 3(5) 1149 Available from
httpwwwmsjonlineorgmno=181928
MbatchouNgahane BH AfaneZe E Chebu C et al (2015) Effects of cooking fuel
smoke on respiratory symptoms and lung function in semi-rural women in
Cameroon International Journal of Occupational and Environmental Health
21(1) 61ndash65 Available from
httpwwwtandfonlinecomdoifull1011792049396714Y0000000090
Nihlen U Greiff LJ Nyberg P et al (2005) Alcohol-induced upper airway
symptoms prevalence and co-morbidity Respiratory Medicine 99(6) 762ndash
769 Available from
httplinkinghubelseviercomretrievepiiS0954611104004378
Nwibo AN Ugwuja EI and Nwambeke NO (2012) Pulmonary Problems among
Quarry Workers of Stone Crushing Industrial Site at Umuoghara Ebonyi
State Nigeria TheInternational Journal of Occupational and Environmental
Medicine 3(4) 178ndash185
Pascal M Pascal L Bidondo M-L et al (2013) A Review of the Epidemiological
Methods Used to Investigate the Health Impacts of Air Pollution around
Major Industrial Areas Journal of Environmental and Public Health 2013
1ndash17 Available from httpwwwhindawicomjournalsjeph2013737926
Patra HS Sahoo B and Mishra BK (2012) Status of sponge iron plants in Orissa
Bhubaneswar India Vasundhara Available from
httpbmjopenbmjcomcontentbmjopen53e007084fullpdf
Radon K Danuser B Iversen M et al (2001) Respiratory symptoms in European
animal farmersThe European Respiratory Journal 17(4) 747ndash754
Available from
63
httpspdfssemanticscholarorgc19d4255429bea14c42268592365ae35fc51
5503pdf
Rastogi SK Ahmad I Pangtey BS et al (2003) Effects of Occupational Exposure
on Respiratory System in Carpet WorkersIndian Journal of Occupational
and Environmental Medicine 7(1) 19ndash26 Available from
httpmedindniciniayt03i1iayt03i1p19pdf
Risk appraisal study Sponge iron plants Raigarh District (2006) Cerana
Foundation
Roychoudhury S Darbari T and Agrawal S (2012) Study on ambient air quality
respiratory symptoms and lung function of children in DelhiEnvironmental
health management series Delhi Central pollution control board ministry of
environment and forests Available from
httpcpcbnicinuploadNewItemsNewItem_191_StudyAirQualitypdf
Salo PM Xia J Johnson CA et al (2004) Respiratory symptoms in relation to
residential coal burning and environmental tobacco smoke among early
adolescents in Wuhan China a cross-sectional study Environmental Health
3(1) Available from
httpehjournalbiomedcentralcomarticles1011861476-069X-3-14
Sharma V Gupta R Jamwal D et al (2016) Prevalence of chronic respiratory
disorders in a rural area of North West India A population-based study
Journal of Family Medicine and Primary Care 5(2) 416 Available from
httpwwwjfmpccomtextasp201652416192342
Singh SK Chowdhary GR Chhangani VD et al (2007) Quantification of
Reduction in Forced Vital Capacity of Sand Stone Quarry Workers
International Journal of Environmental Research and Public Health 4(4)
296ndash300
Suzuki K Kayaba K Tanuma T et al (2005) Respiratory symptoms and hamsters
or other pets a large-sized population survey in Saitama Prefecture Journal
of epidemiology 15(1) 9ndash14
To T Stanojevic S Moores G et al (2012) Global asthma prevalence in adults
findings from the cross-sectional world health surveyBMC Public Health
12(1) Available from
httpbmcpublichealthbiomedcentralcomarticles1011861471-2458-12-
204
WHO (2016) WHO releases country estimates on air pollution exposure and health
impact Geneva 27th September Available from
httpwwwwhointmediacentrenewsreleases2016air-pollution-
estimatesen
64
Chapter- 6
Annexures
65
ANNEXURE ndash I
____________________________________________________________________
Achutha Menon Centre for Health Science Studies (AMCHSS)
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Trivandrum-11
Participant Information Sheet
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Namaskar I am Mr Chinmaya Kumar Behera a Master of Public Health (MPH)
scholar from Achutha Menon Center for Health Science Studies Sree Chitra Tirunal
Institute for Medical Sciences and Technology Trivandrum Currently I am
undertaking a study ldquoPrevalence of respiratory symptoms amp their association with
socio-demographic factors of an adult population living near the sponge iron
industries in Bonaigarh Odisha Indiardquo It is being carried out as part of my course
requirement The consent requested is for this study This research subject
information sheet may contain words that you do not understand Please ask me if
any word or information is not clearly understood by you
Purpose of the Study Bonaigarh has about 12 sponge iron factories which are very
close to each other and is causing a lot of pollution due to various pollutants coming
out of those factories in the form of smoke and dust I want to study whether those
pollutants are affecting the respiratory health of the people Not only the factory but
every day we produce a lot of pollutants in our households which may be due to
regular cooking by the use of mosquito repellants or due to tobacco smoking in the
home environment so I am also interested to know whether they affect the
respiratory health of the people living in it
Procedure The survey would take approximately 30 to 45 minutes of your
valuable time You will be asked questions relating to your households occupation
respiratory symptoms if any and other habits like smoking and drinking height and
weight will be taken The data collected will be used for research purposes only I
may contact you again if the collected information is found to be incomplete
Risks and Discomforts Participation in this study imposes no risk to your health
66
However you would be asked questions which you may find personal in nature for
example I will ask you about your personal habits like smoking and alcohol
drinking which might give some discomfort to you but I can assure you that
whatever information will be provided will be kept confidential I will also ask
about your household details like what type of fuel do you use while cooking what
is your ration card type which might further bring some discomfort but I assure you
that all the data collected by me will be only for the purpose of my research and
you need not have to worry about the misuse of such detailed data
Benefits There may not be any direct benefit for you from this study other than
knowing your BMI which I can calculate and tell you after taking the height and
weight with the help of instruments which will be carried by me during the data
collection The information collected from you and other participants will be
helpful in understanding the type and prevalence of respiratory symptoms found in
your locality
Confidentiality You will be interviewed and physical measurements will be taken
in a private area in your household All information related to you will be kept
confidential in a safe keeping and at no stage will your identity be revealed Each
participant will be given an identification number (ID) which will help in
maintaining the confidentiality of the data collected Principal investigator of the
study will alone have access to the data collected
Voluntary participation Your participation in this study is purely voluntary
which means you can decide whether to participate in the study or not If at any
stage you wish to discontinue you are free to do so without any adverse
consequences
Contact Information If you have any research related questions or you would
like to verify my credentials you may contact me or a member of our institute‟s
Ethics Committee at the following address
67
DrMalaRamanathan
Member Secretary
Institutional Ethics Committee
(IEC SCTIMST
Thiruvananthapuram-11)
Office(Ph 0471-25224234 E-
mail (malasctimstacin)
MrChinmaya Kumar Behera
MPH 2016
AchuthaMenon Centre for Health
Science Studies
SCTIMST Trivandrum-11
Mob- 9446780541 7077240541
E-mail- ckbeherasctimstacin ckbehera1986gmailcom
68
ANNEXURE ndash II
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
ID Number______________
Participant Consent Form
I have read the details in the information sheet The purpose of the study and my
involvement in the study has been explained to me By signing on this consent form
I indicate that I am willing to participate in the study and I understand what will be
expected from me I know that I can withdraw my participation at any time during
the interview without any explanation I have also been informed who should be
contacted for further clarifications
I---------------------------------------------------------------------------agree to participate
in the study
Place
Date
Signature of the participant
Thank you
69
ANNEXURE ndash III
____________________________________________________________________
Prevalence of respiratory symptoms and their associated factors among people
living near the sponge iron industries in Bonaigarh Odisha India
Participant ID
Village code serial no
Latitude Longitude
Date Time
1 Demographic data
11 What is your age as on your last
birthday
12 Sex 0) Female 1) Male 2) Transgender
13 Religion 1) Hindu 2) Muslim 3) Christian
4) Sikh 5) Others please specify
______________________
99) No replyDon‟t
know
14 Educational
status
1) No
schooling
2) Primary 3) High school
4)
Graduate
5) Post-graduate and above Others please
specify
___________
15 Marital
Status
1) Never married 2) Currently married
3) Widowed 4) Divorcee
5) Others please specify_______
16 No of
family
members
Usually living here including
infants small children
Excluding domestic servants
guests or visitors
17 Ration Card type 1) Antyodaya 2) BPL
3) APL 4) No ration card
18 Since how many years have
you been residing in
Bonaigarh
1) Since birth 2) Others please
specify
(monthsyears)
______________
70
2 Physical Measurements
21 Height (cms)
22 Weight (Kgs)
3 Household Data
31 How many rooms in this house are used for sleeping
32 Number of doors and windows excluding toilet and
kitchen
Doors Windows
33 Does any of your rooms in the house gets damp 0) No 1) Yes
34 Where is the cooking usually
done in the house
1) In the house 2) In a separate building
3) Outdoors 4) Others please specify
35 Do you have a separate room
used as a kitchen
0) No 1)
Yes
If No go to 39 else
36
36 In the kitchen number of
Doors Windows Ventilators
37 Do you have exhaust fan in the kitchen
0) No 1) Yes
38 Do you use the exhaust fan while cooking 0) No 1) Yes
39 How do you cook food 1) Stove 2) Chullah
3) Open fire 4) Others please specify
310 Type of fuel used for cooking 1) Electricity 7) Wood
2) LPGNatural gas 8) StrawShrubsGrass
3) Biogas 9) Agricultural crop waste
4) Kerosene 10) Dung cakes
5) CoalLignite 11) No food cooked in the
house
6) Charcoal 12) Others please specify
311 What do you do with the burning fuel
inChullah after cooking is over
1) Leave as it is 2) Doused with water
3) Cover the kiln
with a cover
4) Boil water
312 Do you routinely cook 0) No 1) Yes If No go to 314
313 No of hours spent in cooking per day
314 What do you use to protect
from mosquito bite
Mosquito coil Leaf smokes Jhuna
0) No 1) Yes 0) No 1) Yes 0) No 1) Yes
315 How often do you use the above items
to prevent from mosquito bite
1) Everyday
2) Occasionally
3) Never
71
4 Occupational details
316 Does anyone smoke at home 0) No 1) Yes If No go to
318
317 How often does anyone smoke inside
your house
1) Daily 2)
Occassionaly
3) Never
318 Does your household own any of the
following animals
1)CowsBulls
Buffaloes
4) GoatsSheeps
2) Camels 5) DogsCats
3)Horses
DonkeysMules
6) ChickensDucks
7) No animals in the house
41 Present Occupational Status 1) Office work 2) Manual work If 5 Go
to 43
3) Agriculturist 4) Business ) In
a
5) Factory 6) Others please
specify
42 How many hours do you work for your main occupation
in a day
43 If in a factory (no of months workedworking)
44
Type of factoryfactories worked
1) Chemical
based
2) Steel plantSponge Iron plant
3) Plastic
based
4) Others please Specify
45 Type of unit in the factory 1) Open 2) Closed
46 AreWere you exposed to second
hand smoke (beedicigarettes smoked
by others) at work place
0) No 1) Yes If No go to 5
47 How often wereare you exposed to
second hand smoke at work place
1) Everyday 2) Occasionally
3) Never
72
5 Personal habits
Smoking History
51 Have you ever smoked 0) No 1) Yes If 099 go to
53
52 Have you smoked in the last
one month
0) No 1) Yes
Alcohol intake History
53 Have you ever taken alcohol
0) No 1) Yes If 099 go to 55
54 Have you ever taken alcohol in the last one
month
0) No 1) Yes
History of Physical Activity
55 Do you practice yoga 0) No 1) Yes If No go to
57
56 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
57 Do you practice breathing
exercise
0) No 1) Yes If No go to
6
58 How much time do you
spend for it per day
1) 5 minutes 2) Less than
30 minutes
per day
3) More than 30
minutes per day
6 History of Past Illness
6 Have you ever had a diagnosis of or been diagnosed with any of the
following Illnesses
61 An injury or operation affecting chest 0) No 1) Yes
62 Other chest trouble 0) No 1) Yes
63 Heart trouble 0) No 1) Yes
64 Asthma 0) No 1) Yes
65 Diabetes 0) No 1) Yes
66 Hypertension 0) No 1) Yes
73
7 Respiratory Symptoms
Please answer Yes or No If yes please specify duration of symptoms (months)
71 Wheezing amp Tightness in the chest 0) No 1) Yes
711 Have you ever had wheezing or whistling
sound from your chest during the last 12
months
712 Have you ever woke up in the morning
with a feeling of tightness in the chest or
of breathlessness
0) No 1) Yes
72 Shortness of breath 0) No 1) Yes
721 Have you ever felt shortness of breath
after finishing exercises sports or other
heavy exertion during the last 12 months
722 Have you ever felt shortness of breath
when you were not doing some strenuous
work during the last 12 months
0) No 1) Yes
723 Have you ever had to get up at night
because of breathlessness during the last
12 months
0) No 1) Yes
73 Cough and Phlegm 0) No 1) Yes
731 Have you ever had to get up at night
because of cough during the last 12
months
732 Do you usually cough first thing in the
morning
0) No 1) Yes
733 Do you usually bring out phlegm from
your chest first thing in the morning
0) No 1) Yes
733 Do you usually bring up phlegm from
your chest most of the morning for at least
3 consecutive months during the year
0) No 1) Yes
74 Breathing
741 Select the most appropriate out of the
following
1) I hardly
experience
shortness of
breath
2) I usually
get short of
breath but
always get
well
3) My breathing is never
completely satisfactory
75 Dust Feather and Pets
751 When you are exposed to dusty areas or
pets like dog cat or horse or feathers or
quilts or pillows etc do you
1) Feel
tightness in
chest
2) Feel
shortness of
breath
74
8Treatment History
81 Have you taken anytreatment for any of the above
respiratory problems in the last two weeks
0) No 1) Yes
82 If Yes Please Specify____________________
9Observation
91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEar
th
1)Raw wood planks 1)Parque
tPolishe
d wood
5)Carpet
2)Sand 2)PalmBamboo 2)Vinyl
Asphalt
6)Polished
stoneMarbleGranite
3)Dung 3)Brick 3)Cerami
c tiles
7)Others Please
specify
4)Stone 4)Cemen
t
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1)
MetalGI
6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
Calamine
Cement
fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4)
Asbestos
sheets
9) Burnt brick
5)
PlasticPolythen
e sheeting
5) Loosely packed
stone
5)RCCR
BCCeme
nt concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unbur
nt brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone
with mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others
please specify 4)GrassReedsT
hatch
4)Cardboar
d
4) Cement
blocks
Sources
National Family Health Survey (NFHS)-4 Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
75
ANNEXURE ndash IV
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|
ଅନସନଧାନର ସଂଶଳଷଟସଦସୟଙକସଚନା ନମେ
ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧଯ ସନାତକ ଛାତର ଟ| ଫରତତଭାନଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟାସଭବନଧୟ ଗଣ|rdquoଏହା ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ କଯାମାଈଛ|ଏହ ନଭତ କଫ ଏହ ଧୟୟନ ାଆ ଟ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଏହ ସଚନାଫ ଯ ଏଭତ ଭଧୟ ଶବଦ ଥାଆାଯ ମାହା ଅଣ ଫଝନାଯନତ| ଦୟାକଯ ମଈ ଶବଦ ଫା ସଚନାଟ ସମପଣତ ବାଫ ଫଝନାଯଛନତ ତାହାଚାଯନତ|
ଅଧୟୟନର ଉେଶୟ ଫଣାଆଗଡଯ ରାୟ ୧୨ଟ ସପନଜ ଅଆଯନ କାଯଖାନା ଛ ଏଫଂ ଏଗଡକ ଫହତ ାଖା-ାଖ ଛ| ଏଥଯ ନଗତତ ନକ ରକାଯଯ ରଦଷତ ଫାୟ ଏଫଂ ଧ ଫହତ ରଦଷଣ କଯଛନତ|ଭ ଏହ ରଦଷଣ ମାଗ ଏଠାଯ ଫସଫାସ କଯଥଫା ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହା ଧୟୟନ କଯଫାକ ଚାହଛ| ନା କଫ ଏହ କାଯଖାନା ଫଯଂ ରତଦୀନ ଅଭ ଅଭ ଘଯ ଯାସଆ ମାଗ ମଈ ରଦଷଣ ଶଷଟ କଯଛ ମଈ ଝଣା ଓ ଭଶାଫତୀ ଅଭ ଭଶା ଦାଈଯ ଯକଷା ାଆଫା ାଆ ଜଆଥାଈ ଫା ଘଯ ବତଯ କହ ଧମରାନ କର ମଈ ଧଅ ଶଷଟ ହା ଆଥାଏ ତାହା ଭଧୟ ଅଭଯ ଶୱାସଥୟ ରତ ହାନକାଯକ ଟ| ତଣ ଏଥମାଗ ରାକଭାନଙକଯ କଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛତାହାଭଧୟଧୟୟନ କଯଫାକ ଚାହଛ| କାଯୟ ବଧ ଏହ ରକରୟାଯ ଅଣଙକଯ ତ ଭରୟଫାନ ସଭୟଯ ଭାତର ୩୦-୪୫ ଭନଟ ସଭୟ ଅଫଶୟକ ହା ଆାଯ| ଅଣଙକ ଣଙକଯ ଘଯ ଯାଜଗାଯ ନଥା ଏଫଂକଈ କଈ ଶୱାସ ସଭବନଧୟ ରକଷଣଦଖାଜାଈଛଏଫଂ ନୟାନୟ ବୟାସ ଜଯକ ଧମରାନ ଏଫଂ ଭଦୟାନ କଯଫାଫଷୟଯ କଛ ରଶନ ଚାଯଫଏଫଂ ଏଥସହତଶାଯୀଯକ ଭା ଜଯ ଓଜନ ଓ ଈଚଚତାଭଧୟ ଭାଫ| ଏହ ତଥୟ ଗଡକ କଫ ନସନଧାନ ାଆ ଫୟଫହତ ହଫ| ଭ ଜଦ କୌଣସ ତଥୟଯ ତଟ ାଏ ତାହର ଭ ଅଣଙକ ନଫତାଯମାଗାମାଗ କଯାଯ| ବପଦ-ଆପଦ ଏହ ଧୟୟନମାଗ ଅଣଙକ ସୱାସଥୟଯ କୌଣସ କଷୟତ ହା ଆଫ ନାହ|ମଦୟ ଭ କଛ ଏଭତ ରଶନ ଚାଯାଯ ମାହା ତୟନତ ଫୟକତଗତ ହା ଆାଯ ମଯକ ଭ ଅଣଙକଯ ଫୟକତଗତ ବୟାସ ମଭତ ଧମରାନ କଯଫା ଏଫଂ ଭଦୟାନ କଯଫା ମାହା ଅଣଙକ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ କଥା ଦୌଚ ମ ଅଣଙକ ଦୱାଯା ଦଅମାଆଥଫା ତଥୟ ତୟନତ ଗାନୟ ଯଖାମଫ|ଭ ଅଣଙକ ଅଣଙକଯ କଛ ଘଯା ଆ ତଥୟ ଚାଯଫ ମଭତ କ ଅଣ ଯାସଆ ାଆ କଈ ଜାଣ ଫୟଫହାଯ କଯନତ ଅଣ କଈ ଯାସନ କାଡତ ଶରଣୀଯ ନତବତ କତ ମାହା ଅଣଙକ ନଫତାଯ କଞଚତ ସଫଧାଯ କାଆାଯ କନତ ଭ ଅଣଙକ ନଫତାଯ ରତଶତ ଦ ଈଚ ଜ ଭା ଦୱାଯା ସଂଗରହ କଯାମାଈଥଫା ତଥୟ କଫ ଅନସନଧାନକ କାମତୟଯ ରାଗଫ ଏଫଂ ଏବ ଂଖାନଂଖ ତଥୟଯ କୌଣସ ଦଫତୟଫହାଯ କଯାମଫ ନାହ|
76
ାଭ ଏହ ଧୟୟନଯ ଅଣଙକ ରତୟକଷ ଯଯ କୌଣସ ରାବ ଭଫ ନାହ କଫ ଭ ଅଣଙକ ଅଣଙକଯ ଈଚଚତା ଏଫଂ ଓଜନ ଭାଫା ଯ ଅଣଙକ ଫଏମ ଅଆ ହସାଫ କଯ କହାଯ ମାହାକ ଭାଫାାଆ ଅଫସୟକ ଥଫା ସଭସତ ଈକଯଣ ଭ ଭା ସାଥୀଯ ଅଣଛ|ଅଣଙକଠାଯ ଏଫଂ ନୟଭାନଙକଠାଯ ସଂଗରହ କଯାମାଈଥଫା ସଭସତ ତଥୟଯ ଏଠାଯ କଈ କଈଶୱାସ ସଭବନଧୟ ରକଷଣଭାନଦଖାମାଈଛ ଏଫଂ ତାହା କବ ରାରଙକ ସୱାସଥୟ ଈଯ ରବାଫ କାଈଛତାହା ଜାଣଫାଯ ସହାୟକ ହା ଆାଯ| ାପନୟତା ଅଣଙକ ସହତ ସାକଷାତ କାଯ ଏଫଂ ଅଣଙକ ଶାଯୀଯକ ଭା ଅଣଙକ ଘଯ ଏକ ଏକାନତ ସଥାନଯ କଯାମଫ| ଅଣଙକଯ ସଭସତ ତଥୟ ତୟନତ ସଯକଷତ ଏଫଂ ଗାନୟ ଯଖାମଫ ଏଫଂ ଏହାକ କୌଣସ ସଥତ ଯଫ ରଘଟ କଯାମଫ ନାହ| ଏହ ଧୟୟନଯ ନତବତ କତ ସଭସତ ସଦସୟଙକଯନାଭ ରତୟକଷଯଯ ଯହଫ ନାହ କଫ ଭାତର ଯଚୟ ସଂଖୟା ଯହଫମାହା ସଭସତ ସଂଗହତ ତଥୟଯ ଗାନୟତାକ ଫଜାୟ ଯଖଫାଯ ସାହାଜୟ କଯଫ| କଫ ଭଖୟ ମାଞଚ କତତାଙକ ହ ଅଣଙକଯ ସଭସତ ତଥୟ ଜଣାଯହଫ| େଛାକତଭା ଦାର ଏହ ଧୟୟନଯଅଣଙକଯବାଗଦାଯ ସମପଣତ ବାଫ ସୱଛାକତ ଟ ଥତାତ ଅଣ ନ ଜହ ନଶଚତ କଯାଯ ଫ କ ଅଣ ଏହ ଧୟୟନଯସାଭଲ ହଫ ନା ନାହ| ମଦ କୌଣସ ସଭୟଯ ଅଣ ଏହ ଧୟୟନଯ ଓହଯଫାକ ଚାହ ଫ ତାହର ଅଣ ଏହା ସମପଣତ ସୱାଧନ ଏଫଂଏହା କୌଣସ ାସୱତ ରତକରୟା ଫହନ ବାଫଯ କଯାଯ ଫ| ଯା ାଯା ବବରଣୀ ଏହ ନସନଧାନ ଫଷୟଯ କଭବା ଭାଯ ଯଚୟକ ମାଞଚ କଯଫାକ ଚାହଥର ଅଣ ଭାତ କଭବା ଅଭଯ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫଙକ ନ ଭନାକତ ଠକଣାଯ ମାଗାମାଗ କଯାଯ ଫ
ସଥାନ ସୱାକଷୟଯ ତାଯଖ
ଧନୟଫାଦ
ଚନମୟ କଭାଯ ଫହଯା ଏମ ଏ -୨୦୧୬ ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନକନଧ| ଏସ ସଟଅଆଏମ ଏସ ଟତରବାନଧଭ-୧୧
କଯାଯ ଫ (ଭାଫାଆଲ ନଂ 9446780541
ଆଭଲ ckbeherasctimstacin
ckbehera1986gmailcom)
ଡା ଭାରା ଯାଭନାଥନ ସଦସୟ ସଚଫ
ସଂସଥାନକଅଚାଯ ସଞଚାନ ସଭତ (ଅଆ ଆ ସ ଏସ ସଟଅଆଏମ ଏସ ଟ ତରବାନଧଭ-୧୧)
ପସ (ପା ନଂ 0471-25224234 ଆ ଭଲ malasctimstacin)
77
ANNEXURE ndash V
____________________________________________________________________
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|
ID Number______________
ଅନମତ ନମେ ପତର ନଭସକାଯ ଭ ଚନମୟ କଭାଯ ଫହଯା ଭ ଜଣ ତରବାନଧଭ ସଥତ ଶରୀଚତରା ତଯନାର ଅୟଫଜଞାନ ଏଫଂ ରୌଦୟାଗକୀ ନସନଧାନ ସଂସଥାନଯ ଥଫା ଚୟତ ଭନାନ ସାଭାଜକ ଫଜଞାନ କନଧଯ ସନାତକ ଛାତର ଟ| ଏହ ାଠୟକରଭଯ ଅଫସୟକତା ଯଣ କଯଫା ାଆ ଭ ଏକ ଧୟୟନ କଯଛ ମାହାଯ ଫଷୟଟ ହଈଛ ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ରୌଢ ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ଏଥସହତ ସଭବନଧତ ସାଭାଜକ ଓ ଜନସଂଖୟା ସଭବନଧୟ ଗଣ|rdquo ଏଥ ନଭନତ ଭ ଅଣଙକ ସହତ ଏକ ୩୦-୪୫ ଭନଟ ସଭୟଯ ସାକଷାତକାଯ କଯଫାକ ଚାହଛ| ଭ ଅଣଙକ କଥା ଦଉଚ ମ ମଈ ତଥୟ ଅଣ ଭାତ ରଦାନ କଯଫ ତାହା ତୟନତ ଗପତ ଯହଫ ଏଫଂ ଏହାକଫ ଭାତର ନସନଧାନ କାଜତୟ ଫା ସୈଧୟାନତକ କାମତଯ ଫୟଫହତ ହଫ| ଏହ ନସନଧାନ କାମତୟ ମାଗ ଅଣ ରତୟକଷ ବାଫଯ ରାବାନବତ ହା ଆନାଯନତ କନତ ଅଣ ମଈ ତଥୟ ରଦାନ କଯଫ ତାହା ବଫଷୟତଯ ନତନ ନୀତ ରଣଧାନ କଯଫାଯ ଈମାଗ ହା ଆାଯ| ଏହ ନସନଧାନଯ ଅଣଙକଯ ବାଗଦାଯ ସମପଣତ ସୱଛାକତ ଟ| ଅଣ ଚାହ ର କୌଣସ ରଶନଯ ଈରତଯ ନଦଆ ାଯନତ ଏଫଂ ଅଣ ଏହ ସାକଷାତକାଯଯ ମକୌଣସ ଭହରତତଯ କାଯଣ ନଦଶତାଆ ଭଧୟ ନବକତାଯ ସହତ ଓହାଯ ମାଆାଯନତ| ଅଣଙକ ସହମାଗ ଫୈଜଞାନକ ଜଞାନକ ଫହ ବାଫଯ ଫରଦଧତ କଯଫ ଏଫଂ ସଭାଜଯ ଭଙଗ ସାଧନ କଯଫ| ଏହ ଧୟୟନ ଫଷୟଯ ଧକ ଜାଣଫାକ ହର ଅଣ ଭାତ ସଧା-ସଖ ବାଫ କର କଯାଯଫ ( ଭାଫାଆଲ ନଂ 9446780541
ଆ ଭଲ ckbeherasctimstacin ckbehera1986gmailcom| ମଦ ଅଣ ଏହ ଧୟୟନ ଫଷୟଯ ଅହଯ ଧକ ଜାଣଫାକ ଚାହାନତ ତାହର ଅଣ ଅଭ ସଂସଥାନଯ ଅଚାଯ ସଞଚାନ ସଭତଯ ସଦସୟ ସଚଫ ସହତ ମାଗାମାଗ କଯାଯଫ ଡା ଭାରା ଯାଭନାଥନ କଯାଯଫ (ପା ନଂ 0471-
25224234 ଆ ଭଲ malasctimstacin)| ସଥାନ ସୱାକଷୟଯ
ତାଯଖ
ଧନୟଫାଦ
78
ANNEXURE ndash VI
ଓଡଶାଯ ଫଣାଇଗଡ ସଥତ ସପଞ ଅଆଯନ କାଯଖାନା ନକଟଯ ଯହଥଫା ଫୟକତ ଭାନଙକ ଭଧୟଯ ଦଖାଜାଈଥଫା ଶୱାସ ସଭବନଧୟ ରକଷଣ ଏଫଂ ସାଭାଜକ ଓ ଜନସଂକଷୟା ସଭବନଧୟ ଗଣ| Participant ID
Village code serial no
Latitude Longitude
Accuracy Date Time
1ଜନସଂକଷୟା ସଭବନଧୟତଥୟ
11 ଶଷ ଜନମଦନ ସରଦଧା ଅଣଙକ ଣତ ଫୟସଟ କତ
12 ରଙଗ 0) ଭହା 1) ଯଷ 2) ସଭରଙଗ
13 ଧଭତ
1) ହନଦ 2) ଭସରଭାନ 3) ଖଷଟଅନ
4) ସଖ
5) ନୟ ଧଭତ ଦୟାକଯ ନାଭ କହନତ__
99) ଈରତଯ ନଭ ର ଜାଣନଥର
14 ଶକଷାଗତ ମାଗୟତା
1) ସକର ଜାଆନ
2) ରାଥଭକ
3) ହାଆସକର ଭଟରକ
4) ଗରାଜଏସନ ସନାତକ
5) ଜ କଭବା ତଦରଧତ 6) ନୟ ଦୟାକଯ କହନତ
15 ଫୈଫାହକ ସଥତ
1) ଫଫାହତ 2) ଫଫାହତ
3) ଫଧଫା ଫଧଯ 4) ଛାଡତର ହା ଆମାଆଛ
5) ନୟ ଦୟାକଯ କହନତ ______________________
16 ଯଫାଯ ସଦସୟଙକ ସଂଖୟା
ସାଧାଯଣତଃ ଏଠାଯ ମଈଭାନ ଯହନତ ନଫଜାତ ଶଶଛାଟ ରାଙକ ଭଶାଆ
ଘଯଯ ଚାକଯ ଏଫଂ ତଥଭାନଙକ ଛାଡକ
17 ଅଣଙକ ାଖଯ କଈ ଯାସନ କାଡତ ଛ
1) ନତୟାଦୟ 2) ଫଏର
3) ଏଏର 4) ଯାସନ କାଡତ ନାହ
18 ଅଣ କତ ଫଷତ ହରା ଫଣାଆ ଫଲzwj ଯ ଯହଛନତ
1) ଜନମଯ
2) ନୟଭାନ ଦୟାକଯ କହନତ ଅଣ ଏଠାଯ କତ ଭାସ ଫଷତ ହରାଣ ଯହଛନତ______________
79
2ଶାଯୀଯକ ଭା
21 ଈଚଚତା (ଭଟଯଯ)
22 ଓଜନ (କଗରା ଯ) 3 ଘଯ ସଭବନଧୟ ତଥୟ
31 ଅଣଙକ ଘଯ କତଟ କାଠଯ ଶା ଆଫା ାଆ ଯହଛ 32 ଯାଷଆ ଓ ଗାଧଅ ଘଯ ଛାଡ ଅଣଙକ ଘଯ କତାଟ କଫାଟ ଝଯକା
33 ଅଣଙକ ଘଯଯ କୌଣସ କାଠଯ ସନତ ସନତଅ ରଗ କ 0) ନା 1) ହ 34 ଘଯ ସାଧାଯଣତଃ ଯାଷଆ
କଈଠାଯ କଯାମାଏ 1) ଘଯ ବତଯ 2) ନୟ ଏକ ଘଯ 3) ଘଯ ଫାହାଯ 4) ନୟ ଦୟାକଯ କହନତ
35 ଅଣଙକଯ ସୱତନତର ଯାଷଆ ଘଯ ଛକ 0) ନା 1) ହ
36 ଯାଷଆ ଘଯ କତାଟ__ ଛ କଫାଟ ଝଯକା ବନରଟଯ 37 ଅଣଙକ ଯାଷଆ ଘଯ ଧଅ ନସକାସନ କଯଥଫା ପୟାନ ଛ କ 0) ନା 1) ହ
38 ଅଣ ସହ ପୟାନ କ ଯାଷଆ କଯଫାଫ ଫୟଫହାଯ କଯନତ କ 0) ନା 1) ହ 39 ଅଣ ଖାଦୟ କଯ ଯାଷଆ କଯନତ 1) ଷଟାଭ 2) ଚର
3) ଖାରା ନଅ 4) ନୟ ଦୟାକଯ କହନତ 310 ଅଣ କଈ ରକାଯଯ ଜାଣ
ଫୟଫହାଯ କଯଛନତ 1) ଫଦୟତ 2) ଏରଜରାକତକଗୟାସ 3) ଜୈଫକ ଗୟାସ 4) କ ଯାସନ 5) କାଆରାରଗ ନାଆଟ 6) ାଈସ 7) କାଠ 8) ନଡାଫଦାଘାସ 9) ଚାଷଯ ଈତପନନ ଫଜତୟ ଫସତ 10) ଗାଫଯ ଘସ 11) ଘଯ ଯାଷଆ ହଏ ନାହ 12) ନୟ ଦୟାକଯ କହନତ
311 ଯାଷଆ ସଯରା ଯ ଫକା ନଅଯ ଅଣ କଣ କଯନତ
1) ସଭତ ଛାଡ ଦଆଥାଈ 2) ାଣଦୱାଯା ରବାଆଦଆଥାଈ
3) ଚରକ ଢାଙକଣ ସାହାଜୟଯ ଘାଡାଆଦଈ
4) ାଣ ଗଯଭ କଯ
312 ଅଣ ରତଦନ ଯାଷଆ କଯନତ କ 0) ନା 1) ହ 313 ରତଦନ ଯାଷଆ ାଆ କତ ସଭୟ ଫୟୟ କଯନତ
314 ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ କଣ ଫୟଫହାଯ କଯନତ କ
ଭଶା ଧ ତର ଧଅ ଝଣା 0) ନା 1) ହ 0) ନା 1) ହ 0) ନା 1) ହ
315 ଅଣ ଭଶାଙକ ଦାଈଯ ଯକଷା ାଆଫାାଆ ଈଯାକତ ଜନଷ ଗଡକ କଭତ ଫୟଫହାଯ କଯଥାଅନତ
1) ରତଦନ
2) ଫଫ
80
316 ଅଣଙକ ଘଯ କହ ଧମରାନ କଯନତ କ 0) ନା 1) ହ 317 ସ କବ ବାଫଯ ଧମରାନ କଯନତ 1) ରତଦନ 2) ଫଫ 318 ାସୱତଯ ଦଅମାଆଥଫା ଗହାତ ଶ ଭାନଙକ ଭଧୟଯ କଈଟକଈଗଡକ ଅଣଙକ ଘଯ ଛ
1) ଗାଇଫଦଭ ଆଷ 2) ଓଟ 3) ଘାଡାଗଧ 4) ଛଭଣଢା 5) କକଯଫ ରଆ
6) କକଡାଫତକ 7) ନା ଅଭ ଘଯ କୌଣସ ଗହାତ ଶ ନାହାନତ
4ଫୟଫସାୟ ସଭବନଧୀୟ ତଥୟ
41 ଫରତତଭାନଯ ଫୟଫସାୟଯ ଫଫଯଣ
1) ପସ କାଭ 2) ଶାଯୀଯକ କାମତୟ 3) ଚାଷୀ 4) ଫୟଫଶାୟୀ 5) କାଯଖାନାଯ କାଭ 6) ନୟାନୟ ଦୟାକଯ କହନତ
42 ରତଦନ ଅଣ ଅଣଙକ ଭଖୟ ଫୟଫସାୟକ କତ ସଭୟ ଦଆଥାଅନତ 43 ମଦ କାଯଖାନାଯ କାଭକଯଥାଅନତ (କତ ଭାସ କାଭ କଯଛନତକଯଛନତ)
44 କଈ ରକାଯଯ କାଯଖାନା କାଯଖାନା ଗଡକଯ କାଭ କଯଛନତ
1) ଯାଶାୟନୀକ 2) ଆସପାତ ରହା କାଯଖାନା 3) ପଳାଷଟକ କାଯଖାନା 4) ନୟାନୟ ଦୟାକଯ କହନତ
45 କାଯଖାନାଯ କାମତୟ କଯଫାଯ ସଥାନଟ କଯ 1) ଖାରା 2) ଅଫରଦଧ 46 ଅଣ ମଈଠାଯ କାଭ କଯନତ ସଠାଯ ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା
ଅଣ ଗରସତ କ 0) ନା 1) ହ
47 ନୟ ରାକଙକ ଧମରାନ ଧଅ ଦୱାଯା ଅଣ କବ ବାଫଯସମମଖୀନହନତ
1) ରତଦନ
2) ଫଫ 3) କଫନହ
5ଫୟକତଗତ ବୟାସ ତଥୟ ଧମରାନ ଆତହାସ
51 ଅଣ କଫଧମରାନକଯଛନତକ 0) ନା 1) ହ 52 ଅଣ ଗତଭାସଯ ଧମରାନକଯଛନତକ 0) ନା 1) ହ
ଭଦ ଆଫା ଆତହାସ 53 ଅଣ କଫଭଦ ଆଛନତକ 0) ନା 1) ହ
54 ଅଣ ଗତଭାସଯ ଭଦ ଆଛନତକ 0) ନା 1) ହ
ଶାଯୀଯକଫୟIୟାଭ 55 ଅଣ ମାଗ ରାଣାୟାଭ ବୟାସ କଯନତ
କ 0) ନା 1) ହ
56 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ
3) ୩୦ ଭନଟଯ
81
ଧକ
57 ଅଣ ରାଣାୟାଭ ବୟାସ କଯନତ କ 0) ନା 1) ହ
58 ଅଣ ରତଦନ ଏଥାଆ କତ ସଭୟ ଫୟତତ କଯନତ
1) ାଞଚ ଭନଟ 2) ୩୦ ଭନଟ 3) ୩୦ ଭନଟଯ ଧକ
6 ଫତତନ ଯାଗଯ ଆତହାସ 6 ନ ଭନାକତ ଯାଗ ଗଡକ ଅଣଙକ ଦହଯ କଫଫ ଚହନଟ ହାଇଛ କ
61 ଛାତ ଯ କୌଣସ କଷତ ଫା ରାଚାଯ 0) ନା 1) ହ
62 ଛାତ ଯ ନୟ ସଫଧା 0) ନା 1) ହ
63 ହଦୟ ଯାଗ 0) ନା 1) ହ
64 ଶୱାସ ଯାଗ 0) ନା 1) ହ
65 ଡାଆଫଟସ 0) ନା 1) ହ
66 ଈଚଚଯକତଚା 0) ନା 1) ହ
7 ଶୱାସ ସଭବନଧୟ ରକଷଣ 71 କ କ ଶବଦ ହଫା ଓ ଛାତ ଯନଧ ହଫା
କତ ଭାସ ହରାଣ
711 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ଛାତ ଯ କଫ କ କ ଶବଦ ହାଇଥରା କ
0) ନା 1) ହ
712 ଣନଶୱାସୀ କଭବା ଛାତ ଯନଧ ହାଇ କଫ ବାଯଯ ନଦ ବାଙଗଛ କ
0) ନା 1) ହ
72 ଣନଶୱାସୀହଫା କତ ଭାସ ହରାଣ
721 ଫଗତ ୧୨ ଭାସ ବତଯ ଫୟାୟାଭ କଯଫା ସଭୟଯ କଭବା ଫା ସଭୟଯ କଭବା ଅଈ କଛ ବାଯ କାଭ କଯଫା ସଭୟଯ ତଭ କଫ ଣନଶୱାସୀ ହାଇଡ କ
0) ନା 1) ହ
722 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ ବାଯକାଭ ନକଯରାଫ ଭଧୟ କଫ ଣନଶୱାସୀ ନବଫ କଯଛ କ
0) ନା 1) ହ
723 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ ଣନଶୱାସୀ ନବଫ କଯଈଠଡଛ କ
0) ନା 1) ହ
73 କାଶ ଏଫଂ କପ କତ ଭାସ ହରାଣ
731 ଫଗତ ୧୨ ଭାସ ବତଯ ତଭ କଫ ଯାତ ଧଯ କାଶ କାଶଈଠଡଛ କ
0) ନା 1) ହ
82
732 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ କାଶ ରାଗ କ
0) ନା 1) ହ
733 ତଭଯ ସକା ଈଠଫା ସଙଗ ସଙଗ ଛାତଯ କପ ଫାହାଯ କ 0) ନା 1) ହ
734 ଗତ ୧୨ ଭାସ ବତଯ ସକା ସକା ତଭ ଛାତଯ ୩ ଭାସ ଧଯ ରଗାତାଯ କଫ କପ ଫାହାଯଛ କ
0) ନା 1) ହ
74 ନଶୱାସ ରଶୱାସ ନଫା 741 ଡାହାଣଯ ଦଅମାଆଥଫା ସଚ ବତଯ ସଫଠାଯ ଠzwj ସଚୀ ଫାଛ 1) ଭ କୱଚତ ଣନଶୱାସୀ ହଏ
2) ଭ ରାୟ ଣନଶୱାସୀ ହଏ କନତ ଠzwj ହାଇମାଏ
3) ଭାଯ ନଶୱାସ ନଫା କଫହର ସନତାଷଜନକ ନହ
75 ଗହାତ ଶ ଓ କଷୀ ଯ ଧ 751 ତଭ ଧ ାଷା କକଯ ଫ ରଆ ଘାଡା ଅଦ ଜନତ କଭବା କଷୀ କଷୀଯ ଯ କଭବ ତକଅ ଅଦ ଜନଷଯ
ସମପକତଯ ଅସର ତଭକ କଯ ରାଗ 1) ଛାତ ଯ ଯନଧ ହଫା ବ ରାଗ 2) ଣନଶୱାସୀହଫା ବ ରାଗ
8ଚକତସା ସଭନଧୀୟ ରଶନ 81 ଗତ ଦଆ ସପତାହଯ ଅଣ ଈଯାକତ ଶୱାସ ସଭବନଧୟ ରକଷଣ
ାଆ ଔଷଧ ସଫନ କଯଛନତ କ 0) ନା 1) ହ
82 ଜଦ ହ ତାହର ଦୟାକଯ ତାହା କହନତ ___________________________________________
83
9Observation 91 Main
material of
the floor
Natural floor Rudimentary floor Finished floor
1)MudClayEarth 1)Raw wood planks 1)ParquetPolish
ed wood
5)Carpet
2)Sand 2)PalmBamboo 2)VinylAsphalt 6)Polished
stoneMarbleGr
anite
3)Dung 3)Brick 3)Ceramic tiles 7)Others Please
specify 4)Stone 4)Cement
92 Main
material of
the roof
Natural roofing Rudimentary roofing Finished roofing
1) No roof 1) Rustic mat 1) MetalGI 6) Roofing shingles
2) ThatchPalm
leafReedGrass
2) PalmBamboo 2) Wood 7) Tiles
3) Mud 3) Raw wood
planksTimber
3)
CalamineCe
ment fiber
8) Slate
4) SodMud and
Grass mixture
4) Unburnt brick 4) Asbestos
sheets
9) Burnt brick
5)
PlasticPolythene
sheeting
5) Loosely packed stone 5)RCCRBC
Cement
concrete
10) Other specify
93 Main
material of
the exterior
walls
Natural walls Rudimentary walls Finished walls
1) No walls 1)Bamboo
with mud
5)Unburnt
brick
1)Cement
Concrete
5)WoodPlanks
Shingles
2)CanePalm
TrunksBamboo
2)Stone with
mud
6)Raw
wood
Reused
wood
2)Stone with
limeCement
6)GIMetal
Asbestos sheets
3)Mud 3)Plywood 3)Burnt bricks 7) Others please
specify 4)GrassReedsTh
atch
4)Cardboard 4) Cement
blocks
Sources National Family Health Survey (NFHS)-4Household Questionnaire
INSEARCH study conducted by ICMR
Thank you
Annexure VII
Annexure VII
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