Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI] Baseline Survey: Agincourt, South Africa, 2015 (ICPSR 36633)

Version Date: Oct 30, 2017 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Lisa Berkman, Harvard T.H. Chan School of Public Health

https://doi.org/10.3886/ICPSR36633.v2

Version V2 ()

  • V4 [2023-03-13]
  • V3 [2020-11-05] unpublished
  • V2 [2017-10-30] unpublished

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Additional information about this collection can be found in Version History.

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:

  • Berkman, Lisa. Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI] Baseline Survey: Agincourt, South Africa, 2015. ICPSR36633-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-10-30. http://doi.org/10.3886/ICPSR36633.v2

2017-10-30 Full curation utilizing an updated deposit of data and documentation was completed. This update included the addition of question text and updates to the variable and value labels.

2016-12-01 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.

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HAALSI

The Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) study is a population-based survey that aims to examine and characterize a population of older men and women in rural South Africa with respect to health, physical and cognitive function, aging, and well-being, in harmonization with other Health and Retirement Studies.

The baseline survey was conducted among 5,059 men and women aged 40 years or older, who were sampled from within the existing framework of the Agincourt health and socio-demographic surveillance system (AHDSS), in rural Mpumalanga province, South Africa. Survey data were collected on cognitive and physical functioning, social networks, cardiometabolic disease and risk factors, HIV and HIV risk, and economic well-being. The survey also included anthropometric measures and point-of-care blood tests for hemoglobin, glucose and lipids. Dried bloodspots (DBS) were collected at the survey and later tested for HIV, HIV viral load, glucose and CRP. A sub-sample had more extensive laboratory follow-up testing, which will be available in future data releases.

Demographic information includes age, sex, income, education, marital status, number of children, and employment.

Harvard dataverse hosts an additional restricted-use dataset which compliments this collection, the HAALSI Baseline HIV Biomarker Data; users interested in obtaining these data must request access based on the terms outlined in the data use agreement.

Berkman, Lisa. Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI] Baseline Survey: Agincourt, South Africa, 2015. Inter-university Consortium for Political and Social Research [distributor], 2017-10-30. https://doi.org/10.3886/ICPSR36633.v2

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United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging

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Inter-university Consortium for Political and Social Research
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2014 -- 2015
2014-11 -- 2015-11
  1. For more information about the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa Survey, visit the HAALSI Web site.
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Participants were sampled from the existing framework of the Agincourt Health and Socio-Demographic Surveillance System (AHDSS) site in Mpumalanga province. Individuals 40 years and older as of July 1, 2014 and permanently living in the study site during the 12 months previous to 2013 census round were eligible for this study. Using the full 2013 Census data, a sampling frame of 8,974 women and 3,901 men aged 40 and older who met the residence criteria were identified. Based on power calculations for key health outcomes, the target sample size was approximately 5,000 completed interviews divided equally between women and men. In order to maximize the links to data collected in prior surveys, individuals who had participated in the WHO SAGE and prior Agincourt HIV/NCD studies with 100% probability were selected. The remainder of the sample was selected randomly to reach the target. Assuming an 80% response rate, we selected a total of 6,281 women and men for the main household study.

Cross-sectional

Men and women aged 40 years or older living in rural Mpumalanga province, South Africa.

Individual, Household

The response rate was 86% after excluding sampled individuals who had died or permanently out-migrated from the study site.

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2016-12-01

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:

  • Berkman, Lisa. Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI] Baseline Survey: Agincourt, South Africa, 2015. ICPSR36633-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-10-30. http://doi.org/10.3886/ICPSR36633.v2

2017-10-30 Full curation utilizing an updated deposit of data and documentation was completed. This update included the addition of question text and updates to the variable and value labels.

2016-12-01 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.

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The data do not contain any weight variables.

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