ArticlePloS one2024
Rural and urban differences in the prevalence and determinants of Type-2 diabetes in Bangladesh.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Prevalence and Factors Associated With Poor Glycaemic Control in Type 2 Diabetes Mellitus Patients: A Single-Centre, Hospital-Based Cross-Sectional Study in Jhenaidah District, Bangladesh.Endocrinology, diabetes & metabolism · 2026Article
- Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh.Scientific reports · 2026Article
- Machine learning based identification of key predictors and socioeconomic inequalities in the co-existence of diabetes and hypertension among Bangladeshi adults.Scientific reports · 2026Article
- Macrovascular complications in type 2 diabetes: a multiregional study in rural Bangladesh.Frontiers in endocrinology · 2026Article
- Analysing risk factors for diabetes in Bangladesh: a Bayesian hierarchical approach using a nationwide cross-sectional study.BMC public health · 2025Article
- DiaBD: A diabetes dataset for enhanced risk analysis and research in Bangladesh.Data in brief · 2025Article
- Prevalence of Diabetes Mellitus and Hypertension Among COVID-19 Patients: A Cross-Sectional Study Exploring Associations With Sociodemographic and Biological Factors in Rajshahi Division, Bangladesh.Health science reports · 2025Article
- Article
- Comment on: Fetal femur length and risk of diabetes in adolescence: a prospective cohort study.Tropical medicine and health · 2024Article
- Article
- Factors influencing type 2 diabetes self-management practices in rural Bangladesh: a qualitative investigation.Frontiers in public health · 2024Article
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo estimate the prevalence of Type 2 Diabetes (T2D) in urban and rural settings and identify the specific risk factors for each location.
methodWe conducted this study using data from the 2017-18 Bangladesh Demographic and Health Survey (BDHS), sourced from the DHS website. The survey employed a stratified two-stage sampling method, which included 7,658 women and 7,048 men aged 18 and older who had their blood glucose levels measured. We utilized chi-square tests and ordinal logistic regression to analyze the association between various selected variables in both urban and rural settings and their relationship with diabetes and prediabetes.
resultsThe prevalence of T2D was 10.8% in urban areas and 7.4% in rural areas, while pre-diabetes affected 31.4% and 27% of the populations in these respective settings. The study found significant factors influencing diabetes in both urban and rural regions, particularly in the 55-64 age group (Urban: AOR = 1.88, 95% CI [1.46, 2.42]; Rural: AOR = 1.87, 95% CI [1.54, 2.27]). Highly educated individuals had lower odds of T2D, while wealthier and overweight participants had higher odds in both areas. In rural regions, T2D risk was higher among caffeinated drink consumers and those not engaged in occupation-related physical activity, while these factors did not show significant influence in urban areas. Furthermore, urban participants displayed a significant association between T2D and hypertension.
conclusionOur study outlines a comprehensive strategy to combat the increasing prevalence of T2D in both urban and rural areas. It includes promoting healthier diets to control BMI level, encouraging regular physical activity, early detection through health check-ups, tailored awareness campaigns, improving healthcare access in rural regions, stress management in urban areas, community involvement, healthcare professional training, policy advocacy like sugary drink taxation, research, and monitoring interventions. These measures collectively address the T2D challenge while accommodating the distinct features of urban and rural settings.
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