Relationship of family income and house type to body mass index and chronic energy deficiency among urban Bengalee male slum dwellers of Kolkata, India.
A cross-sectional study of 469 adult (>18 years) Bengalee male slum dwellers of Dum Dum, Kolkata, India, was undertaken to study the relationships of family income and house type with body mass index (BMI) and chronic energy deficiency. The overall frequency of chronic energy deficiency was 32.0%. Based on the World Health Organization classification, the prevalence of chronic energy deficiency among this population was high and thus the situation is serious. Overall, monthly family income was significantly positively correlated with BMI. Significant differences in mean weight, BMI and monthly family income, were observed between the two house type groups. All values were found to be significantly higher in the brick household group who also earned a comparatively higher income as evident from the mean monthly family income values. The prevalence of chronic energy deficiency was also found to be significantly higher in the bamboo-fenced household group. Subjects belonging to the lowest family income group had the lowest mean BMI and the highest rate of chronic energy deficiency while those in the highest family income group had the largest mean BMI and lowest rate of chronic energy deficiency. There was a significant family income group difference in mean BMI. There existed significant differences in chronic energy deficiency rates in family income group categories. Linear regression analyses showed that monthly family income and house type had a significant impact on BMI. Subsequent multiple regression analyses revealed that both monthly family income and house type had a significant impact on BMI, even after controlling for each other.
Chakraborty
Raja
R
Department of Anthropology, Vidyasagar University, Midnapore 721102, West Bengal, India.
Bose
Kaushik
K
Bisai
Samiran
S
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015992:Body Mass Index; D001835:Body Weight / Q000502:physiology; D002908:Chronic Disease; D003430:Cross-Sectional Studies; D002149:Energy Intake / Q000502:physiology*; D006798:Housing / Q000191:economics* / Q000706:statistics & numerical data; D006801:Humans; D007182:Income; D007194:India / Q000453:epidemiology; D008297:Male; D044342:Malnutrition / Q000191:economics* / Q000453:epidemiology; D008875:Middle Aged; D009748:Nutrition Disorders / Q000191:economics* / Q000453:epidemiology; D011203:Poverty; D015995:Prevalence; D012044:Regression Analysis; D012959:Socioeconomic Factors; D055815:Young Adult