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Acrolein and Adult Asthma in a Nationally Representative Sample of
the United States
B. Rey de Castro, Sc.D.Statistician
before the International Society of Exposure Science
Baltimore, MDOctober 24, 2011
National Center for Health Statistics
Office of Analysis & Epidemiology, Special Projects Branch
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Acrolein
Aldehyde Hazardous Air Pollutant subject to Clean Air
Act
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Ubiquitous
Combustion Tobacco Mobile sources, especially diesel Airports Wood heating & forest fires Industrial boilers
Indoor air pollutant Cooking Smoking
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Ubiquitous
Largest industrial uses Synthesis of acrylic acid Biocide
Two biggest emitting facilities in Alvin and Diboll, TX
Next 8 biggest: IL, VA, NE, IA, WI, KS Top 10 responsible for 90 percent of TRI
emissions.
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2005 TRI: Acrolein
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Exposure
Inhalation Combustion by-products Cigarette smoke Cooking smoke
Food Heating carbohydrates, lipids, certain amino acids
Formed physiologically Oxidative stress Polyamine metabolism
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Highly Potent Irritant
Acute and chronic (non-cancer) effects Respiratory congestion Eye, nose, throat Skin Especially sensitive
Asthmatics Allergy sufferers
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1 2 3 4 5 6 7 80.00001
0.0001
0.001
0.01
0.1
1
10
100
1000 LC50 750
LOAEL 0.9
RfC 0.00002
NIOSH IDLH4.6
NIOSH STEL0.8
OSHA PELNIOSH REL
0.25
ACGIH CeilingEPA AEGL2 8h
0.23
EPA AEGL1 8h0.07
Log10 A
mbie
nt
Acro
lein
Concentr
ati
on [
mg/m
3]
Regulatory Ambient Exposure Levels
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Ambient Measurement Very Difficult
Highly reactive Ambient formation
Even within samplers Sensitive to
Sampler preparation Sampler type Time elapsed from preparation to analysis
Inter-laboratory variability in analysis
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Current Ambient Methods
US EPA TO-11a: canister sampler TO-15: cartridge sampler TO-15 superseding TO-11a Resolution: hours — days TO-15a still problematic Subject of ongoing improvement research
Near real-time monitor Recently developed Quantum cascade laser IR absorption
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Therefore, no epidemiologic
research on acrolein
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Alternative 1: Exposure Biomarkers
Urine Mercapturic acid metabolites Analytical methods recently developed at
CDC Poster here at ISES 2011: Abstract 1120986 By Udeni Alwis, Sc.D. [email protected]
Not the subject of this talk
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Alternative 2: Modeled Exposure
US EPA National-Scale Air Toxics Assessment 2005
Nationwide estimate of chronic inhalation exposure Census tract resolution
Hazardous air pollutants & diesel particulate matter
Diesel particulate matter Cancer and non-cancer health effects
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NATA 2005
EPA says: Acrolein responsible for “about 75 percent of the
nationwide average non-cancer hazard” Remarkable for air toxic with no
epidemiology
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Now that we have exposure estimates, what if we could gethealth effects data?
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Nationwide Health Effects
National Health Interview Survey 2000 — 2009
Content Health conditions and behaviors Access to health services
Representative sample of United States , nationwide Non-institutionalized Civilian
Cross-sectional prevalence
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National Health Interview Survey
Interview Face to face Computer-aided
Data N ~ 40,000 households (~87,000 individuals) annually Initiated in 1957
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Multistage Population Sampling
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Complex Survey Design
Cross-sectional Use of weighting, clustering, and
stratification Oversampling Variance estimation complicated
Special software: SUDAAN™ Taylor series linearization method (GEE)
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NHIS 2000 — 2009
10 years NHIS data Adults 18 years-old and over Self-reported asthma attack in previous 12
months Has a doctor ever told you that you have asthma?
AND Have you had an asthma attack in the last 12 months?
Standard CDC definition for evaluating national asthma trends
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NHIS Confidential Data
Aim: geographic merge with NATA 2005 Data not for public use
Geocoded NHIS subject residence Urban/rural residence
NCHS Research Data Centers (RDCs) Access non-public use data Confidential data merges Locations nationwide
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NATA-NHIS Data Merge
Merge by
Census Tract
NATA: Acrolein Exposur
e
NHIS: Adult
Asthma
Merged NATA-NHIS Data
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NATA 2005 & NHIS 2000-2009
Sample size: 209, 365 subjects 72.8 percent of 287,530 subjects
Census tracts: 14,936 22.6 percent of 66,029 tracts
Asthma attacks in last 12 months: 3.98 percent subjects
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NATA 2005 & NHIS 2000—2009
White: 71.5 percent Male: 48.8 percent Age: ≥18 years-old Never smokers: 55.5 percent ≥High school graduate: 83.9 percent Insured: 83.7 percent Access to care: 85.3 percent Urban: 74.6 percent
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Population-Weighted Outdoor Acrolein Exposure
[µg/m3]
Mean (SE) 3.34E-2 (3.94E-4)Geometric Mean (GSE)
2.27E-2 (2.43E-4)
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Population-Weighted Outdoor Acrolein Exposure
[µg/m3]
Median (IQR)
2.45E-2 (3.11E-2)
5th Percentile
4.97E-3
10th 6.62E-325th 1.22E-275th 4.34E-290th 6.87E-295th 8.78E-2
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Logistic Regression Model
Binary outcome: asthma attack last 12 months NHIS 2000 — 2009 Self-report
Predictor of interest: acrolein quintile NATA 2005 Inhalation exposure concentration at census tract
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Potential Asthma Confounders
Race, sex, age, smoking, education, insurance coverage, access to healthcare, urban/rural residence, survey year, survey quarter
Based on prior NHIS research on asthma trends
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Complex Survey Variance Estimation
Taylor series linearization (GEE) Survey sample weights 2000 — 2009 Indicators for survey stratum and PSU
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pOR by Acrolein Quintile
1 2 3 4 50.80
0.90
1.00
1.10
1.20
1.30
Exposure Quintile
pO
R
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Primary Result
At highest quintile of acrolein exposure 0.0551 – 0.457 µg/m3 pOR 1.11 [1.00:1.23] adult asthma
11 percent increase in adult asthma prevalence
Controlling for race, sex, age, smoking, education, insurance coverage, access to healthcare, urban/rural residence, survey year, survey quarter
Reference concentration (RfC) = 0.02 µg/m3
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Stratified Analysis by Residence
Urban at highest quintile of acrolein exposure pOR 1.13 [1.00:1.29] adult asthma
Rural at highest quintile of acrolein exposure pOR 1.08 [0.80:1.44] adult asthma
Controlling for race, sex, age, smoking, education, insurance coverage, access to healthcare, survey year, survey quarter
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Confounders
Statistically significant Race, sex, age, smoking, education, access to
healthcare, urban/rural residence, survey year Not statistically significant
Insurance coverage, survey quarter
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38
Strengths
Inexpensive data collection and design Large sample National geographic coverage Census tract resolution Generalizable to US population
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39
Limitations
Uncertainty of NATA exposure estimates Merge bias Cross-sectional Acrolein from indoor air, food Effect estimation in smaller areas severely
limited
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Feasible to conduct national epidemiologic analysis with modeled
chronic exposure estimates for air toxics
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First demonstration of acrolein’s adverse effect
on general population
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Approaches to Acrolein Exposure Assessment
Exposure Assessment
Modeled
Biomarkers
Measurement
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Acknowledgements
Jenifer Parker, Ph.D. Chief, NCHS OAE Special Projects Branch Merged EPA air quality data with
• NHIS 1986 — 2005• NHANES 1986 — 1994• National Hospital Discharge Survey 1999 — 2005
CDC Guest Researcher Program Research conducted in my spare time
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2005 2006 2007 2008 2009 2010 2011 to October
19
0
50
100
150
200
250
Acrolein PubMed Citations
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Current Research
Oral, inhalation exposure Physiologic efects
Acute lung injury, COPD Multiple sclerosis, myelin damage Alzheimer’s disease Cardiomyopathy
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Current Research
In vitro Oxidative stress Apoptosis DNA adduction Inflammation Mutagenicity
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Special Issue on AcroleinSeptember 2011
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Future
Tremendous potential to explore hypotheses and prioritize risk
NATA 2005 177 air toxics and diesel particulate matter
NHIS 2000 — 2009 Great variety of health outcomes
Merges with other data Medicare enrollment and claims National Death Index Social Security benefits
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B. Rey de Castro, Sc.D.Centers for Disease Control
National Center for Environmental HealthAtlanta, Georgia
[email protected]+1 770 488 0162
www.slideshare.net
National Center for Health Statistics
Office of Analysis & Epidemiology, Special Projects Branch