anthropometric patterns in middle-aged and older rural yucatec maya women
TRANSCRIPT
Annals of Human Biology, July–August 2005; 32(4): 487–497
Anthropometric patterns in middle-agedand older rural Yucatec Maya women
PENELOPE A. MCLORG
Department of Anthropology, Southern Illinois University, Carbondale, Illinois, USA
(Received 25 May 2004; revised 9 December 2004; accepted 14 March 2005)
AbstractBackground: Cross-cultural variation in body composition changes with age has not been fullyinvestigated. Although studies involving anthropometric measurements of older people have beenreported for some non-Westernized populations, little such research has been conducted inLatin America.Aim: This study examines patterns associated with age in anthropometric indicators among arural Maya population in Yucatan, Mexico. Middle and older ages are included to promote acomprehensive age portrayal.Subjects and methods: Stature, weight, and six trunk and limb circumferences were collected from60 women aged 40.8–85.6 years. Several ratios and indices were also derived.Results: Age was strongly and negatively related to all body size and adiposity measures (� from �0.422to �0.603, p < 0.001). Associations between age and ratios/indices of adipose tissue distribution werepositive and not as pronounced ( � from 0.280, p < 0.05 to 0.429, p < 0.001). Age had the largest nega-tive influence on arm circumference, mid-thigh circumference, and weight (R2
¼ 0.36, p < 0.001) andthe greatest positive impact on umbilicus/arm ratio (R2
¼ 0.18, p < 0.001).Conclusions: Three major anthropometric patterns are demonstrated: in successively older women,muscle mass is significantly lower, central adipose tissue predominance is significantly greater,and overall adiposity is significantly lower. In the first two patterns, Maya women conformto findings from Western settings; in the latter pattern, these women diverge from Western results,but corroborate findings from some non-Westernized groups.
Keywords: Ageing, anthropometry, non-Westernized, body composition
Introduction
Body composition exhibits ‘consistent and substantial change’ with age (Crews 1990, p 18).
Among the age-related patterns are a decrease in fat-free mass, especially skeletal
muscle, an increase in overall adiposity, and an accumulation of adipose tissue (AT) at
the middle body. Regarding lean body changes, age-related loss of muscle mass beginning
after early adulthood is commonly reported (Crews 1990, Baumgartner et al. 1995,
Correspondence: Dr Penelope A. McLorg, Department of Anthropology, Mailcode 4502, Southern Illinois University,
Carbondale, IL 62901-4502, USA. E-mail: [email protected]
ISSN 0301–4460 print/ISSN 1464–5033 online/00/000487–11 # 2005 Taylor & Francis
DOI: 10.1080/03014460500129337
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Heyward and Stolarczyk 1996, Gallagher et al. 1997, Shephard 1997). Some researchers
(Kuczmarski 1989, Wang et al. 2001, Hughes et al. 2002) report that attenuation with age
is less notable among women than men. ‘Progressive disuse’ or adaptation to increased
sedentariness has been stated (Buskirk 1985, p 905) as the major reason for skeletal muscle
decrease during ageing, although declines are reported even among relatively active older
populations (Baumgartner et al. 1995, Hughes et al. 2002).
Another age-related change in body composition concerns total body fatness. In numerous
countries, adiposity increases through approximately the sixth decade in males and
the seventh decade in females, followed by declines or stabilization (Kuczmarski 1989,
Baumgartner et al. 1995, WHO Expert Committee on Physical Status 1995, Launer and
Harris 1996, Hughes et al. 2002). Concerning AT distribution, many populations display
a tendency through middle and older ages toward masculinization, or redistribution of
AT from the extremities to the trunk, especially the abdomen (Crews 1990, Shephard 1991,
Garn 1994, WHO Expert Committee on Physical Status 1995, Malina 1996). Metabolic,
hormonal, and neural alterations with age likely influence aspects of age-related modifications
in body composition (Crews 1990, Stini 1994, Gallagher et al. 1997). Although data are
accumulating, the degree of ethnic and cross-cultural variation in body composition changes
with age has not been fully investigated (Crews 1990, 1993, Baumgartner et al. 1995).
Several anthropometric indicators of body composition have been examined. Calf
circumference is reported to be a helpful indicator of fat-free mass (Chumlea and Roche
1988) and ‘the most sensitive measure of muscle mass in the elderly’ (WHO Expert
Committee on Physical Status 1995, p 390). Mid-thigh circumference is also considered
a useful correlate of lean body weight (Borkan et al. 1983). Body mass index (BMI) is
commonly used to indicate overall adiposity (Deurenberg et al. 1991, WHO Expert
Committee on Physical Status 1995, Seidell 1996). Certain anthropometric ratios
and indices are helpful in representing AT distribution. Waist/hip ratio, or the similar
umbilicus circumference/buttocks circumference ratio, reflects abdominal versus gluteal
AT distribution; umbilicus circumference/arm circumference ratio shows central versus
peripheral AT distribution (Mueller et al. 1991). The conicity (C ) index (Valdez
1991) indicates central AT predominance mediolaterally and anteroposteriorly corrected
for stature and weight.
While anthropometric indicators of body composition are collected in a variety of settings,
they are especially valuable in field research because of their ease of use and relatively
low equipment requirements (Lohman et al. 1988). Anthropometric measurements of
older people are reported in some cross-national compilations encompassing field research
from rural areas in developing countries (WHO Expert Committee on Physical Status 1995,
Launer and Harris 1996). Also, anthropometric studies including older individuals have
been conducted among specific rural, non-industrialized populations, for example in
Malawi (Chilima and Ismail 1998), Nigeria (Oguntona and Kuku 2000), and Sarawak,
East Malaysia (Strickland and Ulijaszek 1993). However, relatively little research on anthro-
pometry of older people in non-Westernized settings has been reported for Latin America.
Dangour (2003) analysed anthropometric variables among older members of two
Amerindian groups in interior Guyana. The present study addresses patterns associated
with age in anthropometric indicators among rural Maya women in Yucatan, Mexico.
A broad age span encompassing middle and older ages is used to promote a comprehensive
age portrayal. In addition, a number and variety of measurements are examined.
Other researchers (Wolanski 1998, Beyene and Martin 2001) who have investigated
anthropometric traits of older individuals among Maya groups in Yucatan collected a very
limited number and type of measurements.
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Subjects and methods
Study population
This cross-sectional study was conducted among rural Maya Indians in northern Yucatan,
Mexico, who maintain a relatively rigorous lifestyle centred around horticulture (Webber
1980, Everton 1991). The sample was limited to middle-aged and older females because
collection of some anthropometric data among male Maya was anticipated to be problematic
for a female researcher. Respondents were recruited from 16 rural villages bordering the
city of Merida, Yucatan. To recruit respondents, the researcher and a local research assistant
contacted local residents and municipal officials to ascertain locations of older residents.
If such contacts were not possible, the researcher and assistant visited homes with greater
likelihood of having older inhabitants, such as dwellings that were older-looking or had
several additions. Women were initially screened regarding age and Maya affiliation
(Maya surnames for one or both parents). Individuals were excluded from the sample if they
had chronic illness, were currently ill, or were using medications. Also, women related to
any other participant were excluded. Twelve of the women approached did not participate
due to exclusion criteria or to being too busy or not interested. The first 60 individuals
who provided data, 20 each from three age groups of 40–54, 55–69, and 70–85 years,
comprised the sample. Respondents were aged 40.8–85.6 years (mean 62.3� 13.3 years).
As the sample is not random, it cannot be considered statistically representative of
non-Westernized, rural Maya women. However, efforts were made to obtain a sample
as unbiased as possible. Respondents were recruited from villages varying in location,
population size, and economic specialities; further, most villages yielded respondents
from differing age groups. Moreover, women appeared to represent variation in socio-
economic status, according to the characteristics of their dwellings. Thus, although they
do not constitute a probability sample of Yucatec Maya women, participants can be
regarded as illustrative of healthy, community-living, middle-aged and older rural Maya
females. All research procedures, along with English versions of the screening, consent,
and data gathering forms, were reviewed and approved by the researcher’s university
human subjects committee.
Anthropometric measurements
Anthropometric data collection consisted of stature and weight, as well as six trunk and limb
circumferences indicating size of body segments. Circumferences can be measured with
relatively high reliability and are relevant to fat-free as well as fat body composition (Mueller
et al. 1991, Heyward and Stolarczyk 1996). For all measurements, the researcher followed
standardized guidelines for location and technique (Lohman et al. 1988). Respondents
wore their usual clothing of a thin dress and slip and removed their shoes. Duplicate
measurements were made of all body dimensions, with the mean value used in the analysis.
Stature was measured to the nearest 0.1 cm with a Gneupel�1 portable anthropometer.
Weight was recorded to the nearest 0.1 kg, using a Health o Meter� portable electronic
digital strain gauge scale. Circumferences at the arm (mid-upper), umbilicus, buttocks,
mid-thigh, and calf were recorded to the nearest 0.1 cm, using a Dritz� non-stretching,
1 cm wide fibreglass tape.
Several ratios and indices were derived from the collected measurements. BMI
(weight in kg/stature in m2) was determined as a marker of total body fat. For indication
of AT distribution, umbilicus circumference/arm circumference ratio and umbilicus
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circumference/buttocks circumference ratio were derived. Also, conicity (C ) index was
calculated using the equation of Valdez (1991):
C index ¼umbilicus circumference ðmÞ
0:109�
weight ðkgÞ
stature ðmÞ
� �1=2
:
Statistical analyses
Data were analysed using Statistical Analysis System (SAS) computer programs, and results
were considered significant at �¼ 0.05. One-way analysis of variance was used to assess age
group variation in anthropometric variables. Linear regression was performed to examine
relationships between anthropometric variables and age.
Results
Sample statistics (Table I) indicate a mean BMI in the overweight range (27.9) and
little distinction between abdominal and gluteal circumferences (umbilicus/buttocks ratio
of 1.03). Also, the C index for the sample (1.49) suggests a notable degree of central fat
predominance [index span of 1.00–1.73 (Valdez et al. 1993)]. Also as shown in Table I,
the age groups differ significantly in most anthropometric measurements. In stature, weight,
and circumference measures of size, as well as the BMI indication of total adiposity, the
pattern is that successively older groups have lower values. For indicators of AT distribution,
age group differentiation is not as strong, with only the ratio of umbilicus to arm
circumferences being statistically significant. Further, the direction of age group differences
in AT distribution is opposite that of the body size and fatness measures, as the older groups
have a larger abdominal girth relative to arm girth.
Linear regression results (Table II) corroborate age group associations with anthropo-
metric variables. Age is strongly and negatively related to all body size and adiposity
measures. In contrast, relations between age and ratios or indices of AT distribution are
positive and generally not as strong. According to the standardized regression coefficients
Table I. Anthropometric variables of the age groups.
Sample 40–54 yr 55–69 yr 70–85 yr Age
Anthropometric (n¼60) (n¼ 20) (n¼ 20) (n¼ 20) group
variable Mean�SD Mean�SD Mean�SD Mean�SD F
Stature (cm) 142.2� 5.9 146.4�5.3 140.8�4.8a 139.3�5.2a 10.55***
Weight (kg) 56.7� 14.0 67.4�9.7 56.6�12.7 46.2�10.6 18.22***
Arm circ. (cm) 29.9� 4.5 33.2�3.6 30.1�3.5 26.4�3.5 18.28***
Umbilicus circ. (cm) 101.4� 12.7 108.7�11.3 101.5�10.3 94.2�12.5 8.08***
Mid-thigh circ. (cm) 48.9� 6.8 53.9�4.6 49.0�5.1 43.8�6.5 7.38***
Calf circ. (cm) 32.2� 3.6 34.4�2.5 32.8�3.1 29.2�3.1 16.61***
BMI (kg m�2) 27.9� 6.0 31.6�5.2 28.4�5.2 23.8�5.2 11.40***
Umbilicus/arm ratio 3.42� 0.30 3.29�0.30a 3.39�0.27a 3.58�0.26 5.56**
Umbilicus/buttocks ratio 1.03� 0.05 1.01�0.03 1.04�0.03 1.03�0.06 2.68
C (conicity) index 1.49� 0.07 1.47�0.06 1.48�0.06 1.51�0.09 1.64
aGroup means are not significantly different.**p < 0.01, ***p < 0.001.
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(�) and R2, age has the largest negative influence on arm circumference, mid-thigh
circumference, and weight and the greatest positive impact on umbilicus/arm ratio.
Discussion
These Maya women demonstrate three primary age-differentiated anthropometric patterns.
Lean body mass is less in older than in younger women, as illustrated by lower calf
circumference, an indicator of muscle mass. Older women also have less total adiposity, as
represented by lower BMI. Further, compared to younger women, older Maya females show
some evidence of greater central AT distribution, especially in terms of increased abdominal
circumference relative to arm circumference. With explained variance of 0.25 or greater
for six of 10 anthropometric variables, age is a notable contributor to body dimensions
in this sample. In addition, age differentiation in anthropometrics is evident even with the
youngest women.
The overall smaller body size in successively older women, signified by lower stature,
weight, and trunk and limb circumferences, plausibly involves both fat and fat-free
masses. Other work with this sample (McLorg 2003) suggests that stature is highly cor-
related with calf circumference and reflects lean body composition. The lower stature and
calf circumference in older than younger women thus implies lesser fat-free mass. Also
suggesting less lean body mass are the lower mid-thigh girths of older women. In terms
of fat mass, among these Maya women, weight, arm circumference, and BMI are highly
intercorrelated (McLorg 2003); thus, weight and arm girth appear to largely reflect adipose
body composition. Reid et al. (1992) similarly find that arm girth in women is a very strong
positive correlate and predictor of total, extremity, and trunk fat masses. Lower weight,
arm circumference, and BMI in older than younger Maya women therefore suggest less
overall adiposity.
Regarding AT distribution, there is some indication of more AT at the middle body in
older than younger females. In particular, central AT relative to upper limb AT is greater
in older Maya. Waist-to-hip comparisons, measured here by the umbilicus/buttocks
ratio, and central AT prevalence reflected in C index are also positively associated with
age, although less strongly than is the umbilicus/arm ratio. Older women do have smaller
umbilicus circumferences than younger respondents. However, the age divergence is among
the least in this girth measure of all the body size and adiposity variables, as indicated
by the second lowest F-value in age group comparisons (Table I) and lowest �, T-value,
Table II. Linear regressions of anthropometric variables on age.
Anthropometric variable � B SE B T R2
Stature �0.511 �0.226 0.050 �4.52*** 0.26
Weight �0.597 �0.626 0.110 �5.67*** 0.36
Arm circumference �0.603 �0.203 0.035 �5.76*** 0.36
Umbilicus circumference �0.422 �0.403 0.114 �3.55*** 0.18
Mid-thigh circumference �0.603 �0.308 0.053 �5.76*** 0.36
Calf circumference �0.560 �0.152 0.030 �5.15*** 0.31
BMI �0.496 �0.225 0.052 �4.35*** 0.25
Umbilicus/arm ratio 0.429 0.010 0.003 3.62*** 0.18
Umbilicus/buttocks ratio 0.288 0.001 0.000 2.29* 0.08
C index 0.280 0.001 0.000 2.22* 0.08
*p < 0.05, ***p < 0.001.
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and R2 in linear regression (Table II). Thus, older women are less than younger respondents
in abdominal girth but not as much less as in other body dimensions such as stature and
weight. In fact, C index, which takes into account stature and weight in relation to umbilicus
circumference, shows a positive age-associated pattern.
The anthropometric differences among Maya women of varied ages are not easily
explained by lifestyle factors, such as diet and physical activity, that affect body composition.
Other work with this sample (McLorg 2005) demonstrates that the age groups do not differ
significantly in daily frequency of most dietary items. Further, for all the staple foods and
beverages, the age groups are not significantly different. The overall similarity in dietary
items, and thus in sources of energy and nutrients, across age groups suggests that diet is
not likely to be responsible for age distinctions in anthropometrics among this sample of
Maya women. Relatedly, the age groups do not differ significantly in most types of physical
activity performed or in estimated overall quantity of physical activity (McLorg 2005). In
view of the general similarity in activity across age groups, physical activity does not
appear to be critical in explaining anthropometric variation among Maya women of different
ages.
Secular or cohort disparities constitute other possible explanatory factors for anthropo-
metric differentiation among the age groups. For example, the oldest Maya women
may have grown and developed under different socio-economic or cultural conditions
than experienced by younger cohorts, with such conditions affecting their body size
and shape. However, rural Maya culture shows notable conservatism and homogeneity
of lifeways (Webber 1980, Everton 1991). Such characteristics, along with the inter-
generational lifestyle similarity in dietary and activity habits shown for this sample
(McLorg 2005), do not support the importance of cohort effects in age differentiation in
anthropometry.
Another explanation for age differences relates to sampling and age group variability.
As mentioned in the Study population section, efforts to increase representativeness in this
non-probability sample were made, such that a range of socio-economic and geographic
attributes was encompassed. Thus, variability in living conditions that exists even within
this fairly homogeneous population, and which might affect anthropometric measures,
was taken into account. In addition, women comprising the varied age groups demonstrate
physical variation. Specifically, coefficients of variation (not shown), an indicator of
variability, demonstrate that each age group has acceptable and comparable variability in
the different anthropometric measures and that a given age group was not somehow
restricted to, for example, small or large women. Artefacts of sampling therefore do not
appear to account for age group differentiation in anthropometric variables.
As a non-Westernized, rural group, these Maya villagers diverge from Western patterns in
lifestyle that are relevant to examinations of body morphology. For example, Maya females
contrast with sedentary Westernized populations (Corruccini and Kaul 1983, Pollard 1997,
Shephard 1997) in their lack of reliance on machinery and mechanized transportation and
in their customary and rigorous physical labour (Webber 1980, Beyene and Martin 2001,
McLorg 2005). Further, older as well as younger Maya women are physically active,
while Westernized groups characteristically reduce physical activity with age (Pollard
1997, Shephard 1997). Despite these lifestyle differences, Maya females and Westernized
populations share the major pattern of lower skeletal muscle mass in older than younger
individuals (Kuczmarski 1989, Crews 1990, Gallagher et al. 1997). Such findings suggest
that less muscle tissue in older subjects may not be due to a disuse phenomenon. This obser-
vation is corroborated by age-associated decline in muscle mass even among relatively active
Western groups (Baumgartner et al. 1995, Hughes et al. 2002).
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Maya women also share with Western populations the anthropometric pattern of greater
central adiposity in older than younger individuals. This finding in another human group
supports the notion that greater centralization of AT in older subjects is widespread
among humans (Crews 1990, Shephard 1991, Garn 1994, WHO Expert Committee on
Physical Status 1995, Malina 1996). However, Maya females contrast with Westernized
females in overall presence of fat. Maya women show less adiposity, as reflected in BMI
as well as weight and arm circumference, in successively older groups starting with
middle-aged respondents, while Western women as late as early old age have higher total
body fat than younger females (Kuczmarski 1989, Baumgartner et al. 1995, WHO Expert
Committee on Physical Status 1995, Launer and Harris 1996, Hughes et al. 2002).
Other studies have involved anthropometric measurements of older people in non-
Westernized areas. In some of this research, data are not collected from middle-aged
individuals, so that a full representation of possible age-associated differences is hampered.
Oguntona and Kuku (2000) include data from rural south-western Nigeria, but cover an age
range of only 65–78 years and do not discuss age differentiation. Chilima and Ismail (1998)
report no significant differences among age groups in several anthropometric measurements
in older individuals from rural Malawi. However, respondents were divided into only
two large age groupings (55–69 years and � 70 years), which may have obscured possible
significant differences. Strickland and Ulijaszek (1993) present data from individuals aged
18–77 in rural Sarawak, East Malaysia. Similar to the present study, successively older
women beginning with age 40 demonstrate significantly lower fat and fat-free masses.
AT distribution was not measured.
Concerning research in Latin America, Launer and Harris (1996) report data from rural
Guatemala showing decreases in BMI in 10-year age groups from 60 to 89; tests of signifi-
cance were not provided. Dangour (2003) presents findings from two Amerindian groups
inhabiting the remote interior of Guyana. Both populations display lower BMI in women
older than 50. Neither muscle mass nor AT distribution was assessed in this study.
Dangour’s (2003) work corroborates the observation in Strickland and Ulijaszek (1993)
as well as the current research that lower adiposity appears in younger non-Westernized
than Westernized women.
Regarding studies that include anthropometric measurements among older Maya women
in Yucatan, Beyene and Martin (2001) indicate no significant relationship between age and
stature among women aged 18–80 years; this finding differs from that of the present research
as well as other similar studies. Using data from skinfolds, Wolanski (1998) reports that
subcutaneous AT peaks between 45 and 55 years followed by decline among mixed Maya
respondents aged 2–80 years in Merida and Progreso. The lower fatness in individuals
younger than early old age concurs with the overall adiposity pattern shown in the current
research. While Wolanski (1998) and Beyene and Martin (2001), as well as the present
study, examine a broad age span including middle and older ages, the current research
provides data on a more varied set of anthropometric variables.
To conclude, this study finds that in a sample of rural middle-aged and older Yucatec
Maya women, muscle mass is significantly lower in successively older respondents whereas
central AT predominance is greater. Also, overall adiposity is significantly lower in succes-
sively older women, beginning with the middle-aged women. In the first two patterns,
Maya women largely conform to the body of research from Western settings. In the latter
pattern, these women diverge from Western findings, but corroborate results from some
non-Western groups. Convergences and differences between populations with disparate
and similar lifestyles help clarify the extent to which age variation in body composition is
linked to environmental factors. This study attempts to add to the literature on comparative
Anthropometric patterns in Yucatec Maya women 493
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ageing by providing anthropometric data from an additional non-Westernized group.
Such information from human groups living in varying conditions is essential for under-
standing of the mechanisms and aetiology of possible age-associated alterations in body
composition.
Notes
1. This article includes a word that is or is asserted to be a proprietary term or trade mark.
Its inclusion does not imply it has acquired for legal purposes a non-proprietary or
general significance, nor is any other judgement implied concerning its legal status.
Acknowledgements
This study was supported by grants from Sigma Xi and from the Graduate School,
Women’s Studies, and Department of Anthropology at Southern Illinois University.
I extend my gratitude to Ms Paolina Bulnes de Puerto for research assistance and to the
Maya women who participated in this research.
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Resume. Arriere-plan: On n’a pas completement explore les variations interculturelles des
changements de la composition corporelle. Bien que des etudes sur les mensurations
anthropometriques des personnes agees aient ete effectuees dans des populations non
occidentales, peu de recherches ont ete conduites en Amerique latine.
But: Cette etude examine les associations avec l’age des indicateurs anthropometriques dans
une population rurale Maya du Yucatan au Mexique. Les ages moyen et plus avance sont
etudies de maniere a permettre une description coherente de l’age.
Sujets et methodes. La stature, le poids et six circonferences du tronc et des membres ont
ete collectes chez 60 femmes agees de 40,8 a 85,6 ans. Plusieurs indices et rapports en ont
ete extraits.
Resultats: L’age est associe fortement et negativement a toutes les mesures de format et
d’adiposite (� de �0.422 a �0.603, p < 0,001). Les associations entre l’age et les rapports/
indices de la distribution du tissu adipeux sont positifs et non aussi prononces (� de 0,280,
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p < 0,05 – 0,429, p < 0,001). L’age a l’influence negative la plus grande sur la circonference
du bras, la circonference a mi-cuisse et le poids (R2¼ 0,36, p < 0,001) et l’impact positif le
plus grand sur le rapport ombilic/bras (R2¼ 0,18, p < 0,001).
Conclusions: Trois changements anthropometriques sont demontres : chez les femmes
devenant plus agees la masse musculaire est significativement plus faible, la predominance
du tissu adipeux central est plus elevee et l’adiposite generale est significativement plus
basse. Les femmes Maya sont conformes aux resultats trouves dans des populations
occidentales pour les deux premiers changements,alors qu’elles en divergent pour le dernier
mais tout en corroborant des resultats obtenus dans quelques groupes non occidentaux.
Zusammenfassung. Hintergrund: Die kulturelle Variation altersbedingter
Veranderungen der Korperzusammensetzung ist bisher nicht gut untersucht worden.
Obgleich Studien betreffend anthropometrische Messungen alterer Leute aus einigen nicht-
verwestlichten Populationen veroffentlicht worden sind, sind nur wenige derartiger
Untersuchungen in Lateinamerika durchgefuhrt worden.
Ziel: Diese Studie untersucht altersbedingte Muster von anthropometrischen Kennzeichen
in einer landlichen Maya-Population aus Yucatan, Mexiko. Mittlere und altere
Altersgruppen sind eingeschlossen, um ein umfassendes Bild der Altersabhangigkeit zu
vermitteln.
Probanden und Methoden: Korperhohe, Gewicht und sechs Umfangsmaße von Rumpf und
Extremitaten wurden bei 60 Frauen im Alter von 40,8 bis 85,6 Jahren erhoben. Ferner
wurden zahlreiche Proportionsmaße und Indizes entwickelt.
Ergebnisse: Alter korrelierte stark und negativ mit allen Korpermaßen und den Messungen
zur Bestimmung der Fettleibigkeit (� von �0,422 bis �0,603, p < 0,001). Die Beziehungen
zwischen Alter und den Proportionsmaßen, bzw. Indizes fur die Verteilung des Fettgewebes
waren positiv und weniger stark ausgepragt (� von 0,280, p < 0,05 bis 0,429, p < 0,001).
Alter hatte den starksten negativen Einfluss auf den Armumfang, den Umfang des mittleren
Oberschenkels und Gewicht (R2¼ 0,36, p < 0,001) und den großten positiven Einfluss auf
das Proportionsmaß Nabel/Arm (R2¼ 0,18, p < 0,001).
Zusammenfassung: Es werden drei wesentliche anthropometrische Muster gezeigt: bei
zunehmend alter werdenden Frauen nimmt die Muskelmasse signifikant ab, das
Vorherrschen von zentralem Fettgewebe wird signifikant großer, und die Adipositas
insgesamt wird signifikant niedriger. Hinsichtlich der ersten beiden Muster stimmen
Mayafrauen mit westlichen uberein; hinsichtlich des letzteren Musters aber unterscheiden
sich diese Frauen von westlichen, und entsprechen einigen nicht-verwestlichten Gruppen.
Resumen. Antecedentes: La variacion intercultural de los cambios en la composicion
corporal con la edad no se ha investigado completamente. Aunque se han llevado a cabo
estudios que incluyen medidas antropometricas de ancianos en algunas poblaciones no
occidentalizadas, se han realizado pocas investigaciones de este tipo en Latinoamerica.
Objetivos: Este estudio examina los patrones asociados con la edad en indicadores
antropometricos de una poblacion rural Maya de Yucatan, Mexico. Se han incluido
edades medias y avanzadas para procurar una descripcion mas comprensiva de la edad.
Sujetos y metodos: Se recogieron datos sobre la estatura, el peso y seis perımetros del tronco y
las extremidades, en 60 mujeres con edades comprendidas entre 40,8 y 85,6 anos.
Asimismo, se derivaron varios cocientes e ındices.
Resultados: La edad estaba negativa y fuertemente relacionada con todas las medidas de
tamano corporal y de adiposidad (b entre �0,422 y �0,603, p < 0,001). Las asociaciones
entre la edad y los cocientes/ındices de distribucion del tejido adiposo fueron positivas y no
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tan elevadas (b entre 0,280, p < 0,05 y 0,429, p < 0,001). La edad tuvo la mayor influencia
negativa sobre el perUmetro del brazo, muslo medio y sobre el peso (R2¼ 0,36, p < 0,001),
y el mayor impacto positivo sobre el cociente de los perımetros umbilical/brazo (R2¼ 0,18,
p < 0,001).
Conclusiones: Se demuestra la existencia de tres patrones antropometricos principales:
conforme aumenta la edad en las mujeres, la masa muscular es significativamente mas baja,
el predominio del tejido adiposo central es significativamente mayor, y la adiposidad total es
significativamente menor. En los dos primeros patrones, las mujeres Maya confirman los
hallazgos de los paıses occidentales; en el ultimo patron, estas mujeres difieren de los
resultados occidentales, pero corroboran los de algunos grupos no occidentalizados.
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