ArticleScientific reports2020
Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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37 citing papers in PubMed, 88 citations in OpenAlex.
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- Effect of Physical Activity and Dietary Changes on Management of Type 2 Diabetes Mellitus Patients: A Case-Control Study in Bangladesh.Endocrinology, diabetes & metabolism · 2025Article
- Prevalence of chronic diabetic complications and associated risk factors among follow-up diabetic patients: estimates from a referral national diabetes center in Yemen.BMC endocrine disorders · 2025Article
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- Glycemic control and associated factors in patients with type 2 diabetes in Southwest Ethiopia: a prospective observational study.BMC endocrine disorders · 2024Observational
- Development and validation of a nomogram model for predicting the risk of hypertension in Bangladesh.Heliyon · 2024Article
- Burden of non-communicable diseases among women of reproductive age in Kenya: a cross-sectional study.BMJ open · 2024Article
- Mediating effect of BMI on the association of economic status and coexistence of hypertension and diabetes in Bangladesh: A counterfactual framework-based weighting approach.Health science reports · 2024Article
- Systemic inflammation, enteropathogenic E. Coli, and micronutrient insufficiencies in the first trimester as possible predictors of preterm birth in rural Bangladesh: a prospective study.BMC pregnancy and childbirth · 2024Article
- Factors affecting blood sugar changes in diabetic patients using a three-level model in analysis of longitudinal data.Caspian journal of internal medicine · 2024Article
- Rural and urban differences in the prevalence and determinants of Type-2 diabetes in Bangladesh.PloS one · 2024Article
- Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model.Scientific reports · 2023Article
- Baseline prevalence of hyperglycemia and its predictors among community clinic users of a selected rural area of Bangladesh: A cross-sectional study using the WHO PEN Protocol 1.Journal of diabetes investigation · 2023Article
- A quantile regression approach to identify risk factors for high blood glucose levels among Bangladeshi individuals.Health science reports · 2023Article
- Article
- Impact of ignoring sampling design in the prediction of binary health outcomes through logistic regression: evidence from Malawi demographic and health survey under-five mortality data; 2000-2016.BMC public health · 2023Article
- Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta.Scientific reports · 2023Article
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2 authors at 1 institution in 1 country.
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Abstract
This study intends to explore the prevalence of diabetes mellitus (DM) and its associated factors in Bangladesh. The necessary information was extracted from Bangladesh Demographic and Health Survey (BDHS) 2011. In bivariate analysis, Chi-square test was performed to assess the association between selected covariates and diabetes status. A two-level logistic regression model with a random intercept at each of the individual and regional level was considered to identify the risk factors of DM. A total of 7,535 individuals were included in this study. From the univariate analysis, the prevalence of DM was found to be 33.3% in 50-54 age group for instance. In bivariate setup, all the selected covariates except sex of the participants were found significant for DM (p < 0.05). According to the two-level logistic regression model, the chance of occurring DM increases as age of the participants' increases. It was observed that female participants were more likely to have DM. The occurrence of DM was 62% higher for higher educated participants, 42% higher for the individuals who came from rich family and 63% higher for the individuals having hypertension. The chance of developing diabetes among overweighed people was almost double. However, the individuals engaged in physical work had less chance to have DM. This study calls for greater attention of government and other concerned entities to come up with appropriate policy interventions to lower the risk of DM.
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