Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI]: Agincourt, South Africa, 2015-2019
- Berkman, Lisa (Harvard T.H. Chan School of Public Health)
- United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
aging; business ownership; cardiovascular disease; cognition; economics; employment; financial assets; food security; government subsidies; health services utilization; health status; HIV; household expenditures; household income; housing; land ownership; livestock; mental health; older adults; physical condition; sleep; social environment; social networks
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. A second wave of the survey was administered in 2018 through 2019.
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.
Weight variables ipw_mortality, and ipw_attrit account for those respondents who were not part of the second wave of data collection due to death, or other miscellaneous attrition reasons, respectively.
Anthro_weight, and Bio_weight, account for whether a respondent consented, and had a positive reading for any of the anthropometric test measures (height, weight, and blood pressure), or any of the biological test measures (glucose, and hemoglobin), respectively. These were created to account for the systematically random missing responses within each of the "consent-to-test" questions - (see w2vc201), 3.
The final three weights are products of some combination of the above weights - (MA_weight = mortality x attrition, MAA_weight = mortality x attrition x anthropometric, and MAB_weight = mortality x attrition x biological).
MethodsResponse Rates: The response rate was 86% after excluding sampled individuals who had died or permanently out-migrated from the study site.
AbstractDatasets: DS1: Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI]: Agincourt, South Africa, 2015-2019
2014-01-01 / 2015-12-31Time Period: Wed Jan 01 00:00:00 EST 2014--Thu Dec 31 00:00:00 EST 2015 (Wave 1)
2018-01-01 / 2019-12-31Time Period: Mon Jan 01 00:00:00 EST 2018--Tue Dec 31 00:00:00 EST 2019 (Wave 2)
2014-11-01 / 2015-11-30Collection Date(s): Sat Nov 01 00:00:00 EDT 2014--Mon Nov 30 00:00:00 EST 2015 (Wave 1)
2018-10-01 / 2019-11-30Collection Date(s): Mon Oct 01 00:00:00 EDT 2018--Sat Nov 30 00:00:00 EST 2019 (Wave 2)
computer-assisted personal interview (CAPI)
This collection has been updated (Nov 2020) to include data from Wave 2 as well as a crosswalk.
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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Update Metadata: 2020-11-12 | Issue Number: 2 | Registration Date: 2020-11-05