ArticleEpidemiologia (Basel, Switzerland)2023
Rural-Urban Differences in Prevalence and Associated Factors of Underweight and Overweight/Obesity among Bangladeshi Adults: Evidence from Bangladesh Demographic and Health Survey 2017-2018.
Article in Epidemiologia (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Untargeted Metabolomics Analysis of Human Milk from Breastfeeding Bangladeshi Women Reveals Amino Acid Metabolic Pathways Associated with Maternal Nutritional Status and Infant Growth.The Journal of nutrition · 2026Article
- Exploration of the Obesity Researches in Bangladesh: A Scoping Review With 76 Studies.Health science reports · 2026Review
- The Role of Food Consumption in the Global Syndemic: A Scoping Review and Conceptual Model.International journal of environmental research and public health · 2025Article
- Overweight, obesity and physical inactivity among women of reproductive age in Eastern Nepal: a cross-sectional community-based study.PLOS global public health · 2025Article
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
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Abstract
The aim of this study was to identify the differences in prevalence and associated factors of underweight and overweight/obesity among Bangladeshi adults (≥18 years) by analyzing the cross-sectional Bangladesh Demographic and Health Survey 2017-2018 data. Multilevel multivariable logistic regression was applied to identify the factors associated with underweight and overweight/obesity in urban and rural areas. The prevalence of underweight was 12.24% and 19.34% in urban and rural areas, respectively. The prevalence of overweight/obesity was 50.23% and 35.96%, respectively, in urban and rural areas. In the final multivariable analysis in both urban and rural areas, 30-49 years of age, female sex, being educated up to college or higher level, living in the wealthiest household, and being currently married or being separated/divorced/widowed had higher odds of being overweight/obese compared to other categories. Residence in the Mymensingh and Sylhet region was associated with decreased odds of overweight/obesity in urban and rural areas. On the other hand, being educated up to college or higher level, living in the wealthiest household, and being married were associated with reduced odds of being underweight in both areas. These high-risk groups should be brought under targeted health promotion programs to curb malnutrition.
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