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Title: Body mass index of women in Bangladesh: comparing Multiple Linear Regression and Quantile Regression.
Author: Hossain S, Biswas RK, Hossain MA.
Journal: J Biosoc Sci; 2021 Mar; 53(2):247-265. PubMed ID: 32252838.
Abstract:
This study explored the association between socio-demographic factors and the body mass index (BMI) of women of reproductive age (15-49 years) in Bangladesh. Data from the 2014 Bangladesh Demographic and Health Survey (BDHS-14) were analysed using Multiple Linear Regression (MLR) and Quantile Regression (QR) analyses. The study sample comprised 15,636 non-pregnant women aged 15-49. The mean BMI of the women was 22.35±4.12 kg/m2. Over half (56.75%) had a BMI in the normal range (18<BMI<25 kg/m2), and 18.50%, 20.00% and 4.75% were underweight (BMI≤18 kg/m2), overweight (25≤BMI<30 kg/m2) and obese (BMI≥30 kg/m2), respectively. The results of the MLR found that age, wealth index, urban/rural place of residence, geographical division, women's educational status, husband's educational status, women's working status and total number of children ever born were significantly (p<0.001) associated with respondents' mean BMI. The QR results showed different associations between socio-demographic factors and mean BMI, as well as a different conditional distribution of mean BMI. Overall, the results indicated that women with uneducated husbands, with little or no education and from less-affluent households from rural areas tended to be more underweight compared with women in other groups. The inter-relationship between the study women's mean BMI and associated socio-demographic factors was assessed using QR analysis to identify the most vulnerable cohorts of women in Bangladesh.

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