Prevalence and association of HIV and tuberculosis status in older adults in South Africa: an urgent need to escalate the scientific and political attention to aging and health

ObjectivesThis study examined the prevalence and sociodemographic factors among older adults with HIV and TB status in South Africa.MethodsThis data was cross-sectional and obtained from the 2019 General Household Surveys in South Africa. Adults 50 years and over with reported HIV and TB status were...

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Bibliographic Details
Main Authors: Monica Ewomazino Akokuwebe, Godswill Nwabuisi Osuafor, Erhabor Sunday Idemudia
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1245553/full
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Summary:ObjectivesThis study examined the prevalence and sociodemographic factors among older adults with HIV and TB status in South Africa.MethodsThis data was cross-sectional and obtained from the 2019 General Household Surveys in South Africa. Adults 50 years and over with reported HIV and TB status were included (N = 9,180,047). We reported statistical analyses of the descriptive, Chi-square and Fisher’s exact tests, and binary logistic regression.ResultsThe study has found a prevalence rate of HIV to be 5.3% and TB to be 2.9% among older adults aged 50 years and above in South Africa. However, the study found HIV and TB to be highest among older adults residing in Gauteng, KwaZulu-Natal and Eastern Cape provinces. For HIV status, the female gender [AOR = 0.80*, CI 95% = 0.80–0.80] and secondary education [AOR = 0.57, CI 95% = 0.56–0.58] have lower odds of association among older adults with HIV. Regarding TB status, primary education [AOR = 1.08*, CI 95% = 1.06–1.10] and diabetes [AOR = 1.87*, CI 95% = 1.82–1.91] have lower likelihoods of associations among older adults with TB.ConclusionThere is an urgent need to escalate scientific and political attention to address the HIV/TB burden in older adults and, public health policymakers need to take cognizance of the interdependence of inequality, mobility, and behavioural modification among this high-risk population.
ISSN:2296-2565