The BELIEVE (Bangladesh Early Life Interventions and Evaluation) study is a large-scale, population-based cohort that has recruited approximately 73,800 participants across rural and urban regions of Bangladesh. The study aims to understand risk factors and outcomes related to non-communicable diseases (NCDs), particularly cardiometabolic conditions, and provides a uniquely rich longitudinal dataset for global health research. We welcome potential collaboration with other researchers. Data is available on application to the study’s Data Access Committee.

Data and samples Researchers can request access to the following datasets collected as part of BELIEVE:

Phenotypic and Questionnaire Data

Sociodemographic and socioeconomic status Medical and family history Lifestyle factors: physical activity, diet (food frequency, food group usage), sleep, tobacco use Reproductive history and anthropometry Mobile phone use and digital access Disease outcomes: Diabetes (via HbA1c and self-report) Hypertension Cardiovascular disease Stroke Chronic kidney disease Respiratory disease Other self-reported symptoms and conditions Biomarker and Omics Data

HbA1c: ~74,000 participants Whole blood counts: subset available Lipid profile (total cholesterol, HDL, LDL, triglycerides, fructosamine): ~74,000 Environmental exposures: Arsenic in blood (n=500) Arsenic in nails (n=500) Heavy metals in nails (n=4,000) Genomics: Whole Exome Sequencing (WES): ~73,000 Methylation data: ~1,000 in pipeline Proteomics: Olink (~3,300 samples) SomaLogic (~10,000 samples) Metabolomics: Nightingale (1,300 analytes): ~74,000 Glycomics: ~2,000 participants (IgG and plasma N-glycans)