BELIEVE BangladEsh Longitudinal Investigation of Emerging Vascular Events

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)