BODY-MASS INDEX AND ITS ASSOCIATION WITH SOCIOECONOMIC AND BEHAVIORALVARIABLES AMONG SOCIOECONOMICALLY HETEROGENEOUS POPULATIONS OF ANDHRA-PRADESH, INDIA
Bn. Reddy, BODY-MASS INDEX AND ITS ASSOCIATION WITH SOCIOECONOMIC AND BEHAVIORALVARIABLES AMONG SOCIOECONOMICALLY HETEROGENEOUS POPULATIONS OF ANDHRA-PRADESH, INDIA, Human biology, 70(5), 1998, pp. 901-917
The nature and extent of relationship between socioeconomic and behavi
oral variables and body mass index [BMI = weight (kg)/height (m)(2)] i
s studied in a sample of 1119 individuals (456 males and 663 females),
aged 18 to 75 years, drawn from socioeconomically diverse populations
from southern Andhra Pradesh, India. These populations are categorize
d into four groups, with graded lifestyles toward urbanization. The BM
I of the participants ranged from 12.6 to 35.1 in males and from 12.3
to 34.2 in females. There is an increasing trend in mean BMI until abo
ut 50 years, followed by a decline, indicating nonlinear nature of age
effects. Mean BMI also increases with better socioeconomic status of
the constituent groups and with decreased physical activity level. A t
rend of a decrease in the proportion of individuals with chronic energ
y deficiency and an increase in the proportion of obese individuals is
also seen from the traditional Yerukala tribe (group 1) to the urbani
zed group 4, from the lower to the higher income categories, and from
heavy to light physical activity types. Smokers show a greater proport
ion of obese cases compared with nonsmokers. The prevalence of obesity
(BMI greater than or equal to 25) is 6.6% in males and 10% in females
. The results of the analysis of variance suggest that three of the fo
ur socioeconomic and behavioral variables (except smoking) show signif
icant effects on age-adjusted BMI, and the R-2 suggests that these var
iables explain 27.4% of variation in males and 17% in females. Althoug
h income explains the largest amount of variation (24%) in males, foll
owed by physical activity and group affiliation, in females group affi
liation (12.5%), followed closely by income, accounted for most of the
variation. Inclusion of age in the model improved explanatory power b
y 5-7%. The positive association between socioeconomic status and BMI
observed in the present study is qualitatively different from the nega
tive association that characterizes contemporary Western populations.