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Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSi)
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Sample details

HAALSI is an interdisciplinary study aiming to longitudinally monitor social, economic, and biological risks for chronic health conditions, whether infectious or non-infectious, in a random sample of adults aged 40 years and over in Agincourt, South Africa. The cohort consists of over 5,000 participants (2,345 men and 2,714 women). This relatively young starting age was chosen for two reasons. First, life expectancy at birth is low in South Africa, mainly due to HIV. Second, a central aim is to observe longitudinally the pre-disease pathways that evolve in middle age and affect later life health.

Study design
Cohort

Number of participants at first data collection

5,059 (participants)

Age at first data collection

≥ 40 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The Agincourt sub-district of South Africa.

Sample features

Adults
Dataset details

Country

South Africa

Year of first data collection

2014

Primary Institutions

Harvard University

South African Medical Research Council (SAMRC)

University of the Witwatersrand, Johannesburg

Links

haalsi.org/

Profile paper DOI

doi.org/10.1093/ije/dyx247

Funders

National Institute on Aging (NIA)

South African Medical Research Council (SAMRC)

University of the Witwatersrand, Johannesburg

Wellcome Trust

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • Community engagement
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Cognition
    Demographics
    Healthcare access and use
    Households
    Physical health
    Social networks and relationships
    Work and employment

    Consortia and dataset groups

    Health and Retirement Studies (HRS) / Gateway to Global Aging Data
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