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BangladEsh Longitudinal Investigation of Emerging Vascular Events study  (BELIEVE)
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Sample details

The BELIEVE study is a large-scale household-based prospective cohort study involving over 73,000 participants aged 11 years and older from urban (Mirpur-Dhaka), urban-poor (Bauniabadh-Dhaka), and rural (Matlab-Chandpur) settings in Bangladesh. Participants were recruited between January 2016 and March 2020 through household surveys and visits, where they completed structured questionnaires and underwent physical and biological assessments. Participants are followed up every 18 to 24 months through electronic questionnaires, household visits, and medical document collection to track both fatal and non-fatal health outcomes.

Study design
Cohort

Number of participants at first data collection

73,883 (participants)

Age at first data collection

≥ 11 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adolescents
Adults
Children and young people
Community-based sample
Older and elderly people
Dataset details

Country

Bangladesh

Year of first data collection

2016

Primary Institutions

Bangabandhu Sheikh Mujib Medical University

International Centre for Diarrhoeal Disease Research, Bangladesh (আন্তর্জাতিকউদরাময় গবেষণা কেন্দ্র, বাংলাদেশ, ICDDRB)

National Heart Foundation Hospital and Research Institute

University of Cambridge

Links

believestudy-bangladesh.org/

richarddollconsortium.org/search-the-studies/bangladesh-longitudinal-investigation-of-emerging-vascular-events-study-believe

Funders

British Heart Foundation

Health Data Research UK (HDRUK)

Medical Research Council (MRC)

NIHR Cambridge Comprehensive Biomedical Research Centre (BRC)

UK Research and Innovation (UKRI)

Ongoing?
Yes

Data types collected

mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Physical environment assessment (e.g. pollution, mould)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • Interviews or focus groups
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Participant or community advisory groups
  • Patients, service users, lived experience involvement
  • Community engagement
  • Keywords

    Cardiovascular health and disease
    Diabetes
    Diet and nutrition
    Environmental exposures
    Health inequalities
    Hypertension
    Lifestyle factors
    Low income
    Poverty
    Psychosocial factors
    Rural areas
    Socioeconomics
    Urbanisation
    Vascular disease
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