Objective The present study examined the prevalence of and risk factors for malnutrition in a population-based cohort of women of childbearing age in rural Bangladesh.Design A cross-sectional study that collected pre-pregnancy weight, height, and data on selected risk factors for nutritional status of women.Setting The study was conducted in Sylhet District of Bangladesh.Subjects Study subjects included 13 230 non-pregnant women of childbearing age. Women were classified into underweight (<18·5 kg/m2), normal (18·5-24·9 kg/m2) and overweight/obese (≥25·0 kg/m2) using BMI; and into moderate to severe stunting (<150 cm), mild stunting (150-<155 cm) and normal (≥155 cm) using height. Two multinomial logistic regression models were fitted for BMI: model 1 examined individual and household factors associated with BMI, and model 2 additionally examined the association of community variables. The same analysis was conducted for height.Results Prevalence of underweight, overweight/obesity and moderate to severe stunting was 37·0, 7·2 and 48·6 %, respectively. Women's education and household wealth were inversely related to both underweight status and stunting. Underweight rate was significantly lower in the post-harvest season. Women with any education and who belonged to households with higher wealth were more likely to be overweight/obese.Conclusions The study documented high underweight and stunting, and moderate overweight/obesity rates among rural Bangladeshi women; and recommends design and implementation of a multidimensional intervention programme based on individual-, household- and community-level risk factors that can address underweight, stunting and overweight/obesity to improve the nutritional status of women of childbearing age in Bangladesh.
CITATION STYLE
Khanam, R., Lee, A. S. C. C., Ram, M., Quaiyum, M., Begum, N., Choudhury, A., … Baqui, A. H. (2018). Levels and correlates of nutritional status of women of childbearing age in rural Bangladesh. Public Health Nutrition, 21(16), 3037–3047. https://doi.org/10.1017/S1368980018001970
Mendeley helps you to discover research relevant for your work.