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Patterns and Predictors of HIV Comorbidity among Adolescents and Young Adults in South Africa

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  • Brian van Wyk

    (School of Public Health, University of the Western Cape, Bellville 7535, South Africa)

  • Rifqah Abeeda Roomaney

    (School of Public Health, University of the Western Cape, Bellville 7535, South Africa
    Burden of Disease Research Unit, South African Medical Research Council, Cape Town 7501, South Africa)

Abstract

Adolescents and young adults (AYA) are identified as a high-risk group for HIV acquisition. However, health services are generally not sensitive to the needs of this priority population. In addition, multimorbidity (having more than one disease in an individual) is not well studied among AYA, as it is typically associated with older individuals. This paper reports on commonly co-occurring disease conditions and disease patterns in AYA, aged 15–24 years, who took part in the 2016 South African Demographic and Health Survey. Chi-squared tests and logistic regression were used to examine the weighted prevalence of disease among those with/without HIV, and the risk factors associated with HIV. Latent class analysis (LCA) was conducted to identify common co-occurring diseases. Of the 1787 individuals included in our analysis, the weighted prevalence of HIV was 8.7%. Hypertension (30.5%), anaemia (35.8%) and diabetes (2.0%) were more prevalent among those with HIV. HIV and anaemia, hypertension and anaemia, and HIV and hypertension comprise the largest disease burden of co-occurring diseases. Co-morbidity was high among those with HIV, emphasizing the need for integrated care of HIV and non-communicable diseases.

Suggested Citation

  • Brian van Wyk & Rifqah Abeeda Roomaney, 2024. "Patterns and Predictors of HIV Comorbidity among Adolescents and Young Adults in South Africa," IJERPH, MDPI, vol. 21(4), pages 1-11, April.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:4:p:457-:d:1372241
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    1. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
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