Analysing risk factors for diabetes in Bangladesh: a Bayesian hierarchical approach using a nationwide cross-sectional study.

ABSTRACT:

Background

Bangladesh's diabetes burden is accelerating alongside rapid urbanisation and population ageing. Contemporary, population-representative risk estimates are needed to guide prevention.

Methods

We analysed 13,835 adults in the 2022 Bangladesh Demographic and Health Survey. Diabetes was defined as fasting plasma glucose [Formula: see text] 7 mmol/L or current use of diabetes medication. Associations with demographic, socioeconomic and clinical covariates were modelled using a Bayesian survey-weighted logistic mixed model with primary sampling unit random intercepts; design-unadjusted GLMM and survey-weighted GLM served as comparators. Posterior medians and 95% credible intervals (CrI) are reported.

Results

Age, adiposity and hypertension dominated the risk pro

SUBMITTER: Chowdhury MH 

PROVIDER: S-EPMC12487037 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature