Socioeconomic distribution of noncommunicable disease risk factors in urban Brazil: the case of Pôrto Alegre.
The study reported here sought to assess the degree to which the prevalences of five risk factors for noncommunicable diseases--hypertension, smoking, obesity, sedentary lifestyle, and excessive alcohol consumption--varied individually and in combination for urban Brazilians with differing socioeconomic status in terms of educational achievement, income, and social class. For this purpose, 1986-1987 data from a cross-sectional household survey of 1,157 randomly selected adults 15-64 years of age residing in the major Brazilian city of Pôrto Alegre were analyzed. In general, it was found that less privileged socioeconomic situations tended to be associated with higher risk factor prevalences. However, this was not the case for obesity and sedentary lifestyle among men, and may not have been the case with respect to hypertension among women. When the effects of education, income, and social class were considered simultaneously, higher risk factor prevalences were most strongly associated with low educational attainment. Important exceptions to this rule were found for smoking among women and excessive alcohol consumption among men, where higher risk factor prevalences were most associated with social class. Once the effects of education and social class were accounted for, low income generally tended to be associated with lower prevalences of the risk factors studied.
Duncan
B B
BB
Faculdade de Medicina, UFRGS, Pôrto Alegre, Brazil.
Schmidt
M I
MI
Achutti
A C
AC
Polanczyk
C A
CA
Benia
L R
LR
Maia
A A
AA
D000293:Adolescent; D000328:Adult; D001938:Brazil / Q000453:epidemiology; D003430:Cross-Sectional Studies; D004522:Educational Status; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009017:Morbidity; D016017:Odds Ratio; D015995:Prevalence; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014505:Urban Population / Q000706:statistics & numerical data*