DOI: 10.3886/icpsr36633
title: Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI]: Agincourt, South Africa, 2015-2022
title: Archival Version

description: 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, and a third wave of the survey was administered in 2021 through 2022. 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.
description: 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).
description: Response Rates: The response rate was 86% after excluding sampled individuals who had died or permanently out-migrated from the study site.
description: 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.
description: Datasets: DS1: Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI]: Agincourt, South Africa, 2015-2022
description: Men and women aged 40 years or older living in rural Mpumalanga province, South Africa. Smallest Geographic Unit: Village
description: computer-assisted personal interview (CAPI)This collection has been updated (March 2023) to include data from Wave 3 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.