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Health Effects of Arsenic Longitudinal Study (HEALS)
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Sample details

HEALS is a large prospective cohort study based on individual-level data from a population exposed to a wide range of inorganic arsenic from drinking water in Araihazar, Bangladesh. Over the past 15 years, around 35,000 men and women were recruited to investigate the intermediate and long-term pre-malignant, malignant, and non-malignant health effects of environmental arsenic exposure from drinking water and diet. HEALS participants completed detailed questionnaire and clinical data, as well as biological samples at baseline and biennially thereafter, through a dedicated medical clinic established by the University of Chicago that exclusively serves the HEALS participants.

Study design
Cohort

Number of participants at first data collection

11,746 (participants)

Age at first data collection

18 - 75 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Patients and clinical populations
Dataset details

Country

Bangladesh

Year of first data collection

2000

Primary Institutions

Columbia University

National Institute of Preventive and Social Medicine (জাতীয় প্রতিষেধক ও সামাজিক চিকিৎসা প্রতিষ্ঠান, NIPSOM)

University of Chicago

Links

reporter.nih.gov/project-details/9355304

ipph.uchicago.edu/research/heals/

Funders

National Institute of Environmental Health Sciences (NIEHS)

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • 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 – unspecified
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Diet and nutrition
    Environmental exposures
    Lifestyle factors
    Physical health
    Pollution

    Consortia and dataset groups

    Asia Cohort Consortium (ACC)
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