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AbstractThis article examines the meaning of health among middle‐aged and older adults in a rural South African setting, where 72 percent of adults aged 40 and over are living with a major chronic condition, and 81 percent report good or very good health. We draw on a unique mixed‐methods dataset that includes a population‐based survey with disease biomarkers (hypertension, diabetes, HIV), self‐assessments of health including self‐rated health, functional ability and medication use, as well as nested qualitative life history interviews with survey participants including questions about lived experiences of health. We conduct survey trend analysis and ordinal logistic regression, as well as inductive and deductive coding of qualitative interviews, and triangulate findings across data sources. Overall, we find that self‐rated health and functional ability are not associated with biometric disease indicators; however, we find that gendered familial expectations, life course stage, and the socioepidemiological context work together to regulate the salience of illness as people age. The study highlights the utility of research with multiple measures of health in illuminating the challenges of aging amidst the complex epidemiological transitions that increasingly characterize low‐ and middle‐income countries.

AbstractIntroduction: In South Africa, older adults make up a growing proportion of people living with HIV. HIV programmes are likely to reach older South Africans in home‐based interventions where testing is not always feasible. We evaluate the accuracy of self‐reported HIV status, which may provide useful information for targeting interventions or offer an alternative to biomarker testing.Methods: Data were taken from the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) baseline survey, which was conducted in rural Mpumalanga province, South Africa. A total of 5059 participants aged ≥40 years were interviewed from 2014 to 2015. Self‐reported HIV status and dried bloodspots for HIV biomarker testing were obtained during at‐home interviews. We calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for self‐reported status compared to "gold standard" biomarker results. Log‐binomial regression explored associations between demographic characteristics, antiretroviral therapy (ART) status and sensitivity of self‐report.Results: Most participants (93%) consented to biomarker testing. Of those with biomarker results, 50.9% reported knowing their HIV status and accurately reported it. PPV of self‐report was 94.1% (95% confidence interval (CI): 92.0–96.0), NPV was 87.2% (95% CI: 86.2–88.2), sensitivity was 51.2% (95% CI: 48.2–54.3) and specificity was 99.0% (95% CI: 98.7–99.4). Participants on ART were more likely to report their HIV‐positive status, and participants reporting false‐negatives were more likely to have older HIV tests.Conclusions: The majority of participants were willing to share their HIV status. False‐negative reports were largely explained by lack of testing, suggesting HIV stigma is retreating in this setting, and that expansion of HIV testing and retesting is still needed in this population. In HIV interventions where testing is not possible, self‐reported status should be considered as a routine first step to establish HIV status.