Abstract

The study's primary goal is to identify a few sociodemographic risk factors associated with women's underweight status. We have applied multilevel binary logistic regression using the Bangladesh Demographic and Health Survey 2014 data, considering hierarchical effect. The model implies that age <30 years (odds ratio [OR]: 2.19; 95% CI: 1.82-2.63), no education (OR: 1.44; 95% CI: 1.28-1.61), oral contraceptive nonuser (OR: 1.26; 95% CI: 1.14-1.39), and not watching TV (OR: 1.56; 95% CI: 1.41-1.73) are significant risk factors associated with women's underweight status. Remarkably, women from rural areas and belonging to a community with poverty rates of 50% and higher are 46% and 52% more likely to be underweight, respectively. Policy makers and organizations should create a supportive environment for rural women by controlling education, media coverage, and poverty to enrich their knowledge about healthy weight to reduce community inequality and maintain a healthy life.

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