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. 2017 Jan 1;74(1):e9-e17.
doi: 10.1097/QAI.0000000000001173.

Sexual Behaviors and HIV Status: A Population-Based Study Among Older Adults in Rural South Africa

Affiliations

Sexual Behaviors and HIV Status: A Population-Based Study Among Older Adults in Rural South Africa

Molly S Rosenberg et al. J Acquir Immune Defic Syndr. .

Abstract

Objective: To identify the unmet needs for HIV prevention among older adults in rural South Africa.

Methods: We analyzed data from a population-based sample of 5059 men and women aged 40 years and older from the study Health and Aging in Africa: Longitudinal Studies of INDEPTH Communities (HAALSI), which was carried out in the Agincourt health and sociodemographic surveillance system in the Mpumalanga province of South Africa. We estimated the prevalence of HIV (laboratory-confirmed and self-reported) and key sexual behaviors by age and sex. We compared sexual behavior profiles across HIV status categories with and without age-sex standardization.

Results: HIV prevalence was very high among HAALSI participants (23%, 95% confidence interval [CI]: 21 to 24), with no sex differences. Recent sexual activity was common (56%, 95% CI: 55 to 58) across all HIV status categories. Condom use was low among HIV-negative adults (15%, 95% CI: 14 to 17), higher among HIV-positive adults who were unaware of their HIV status (27%, 95% CI: 22 to 33), and dramatically higher among HIV-positive adults who were aware of their status (75%, 95% CI: 70 to 80). Casual sex and multiple partnerships were reported at moderate levels, with slightly higher estimates among HIV-positive compared to HIV-negative adults. Differences by HIV status remained after age-sex standardization.

Conclusions: Older HIV-positive adults in an HIV hyperendemic community of rural South Africa report sexual behaviors consistent with high HIV transmission risk. Older HIV-negative adults report sexual behaviors consistent with high HIV acquisition risk. Prevention initiatives tailored to the particular prevention needs of older adults are urgently needed to reduce HIV risk in this and similar communities in sub-Saharan Africa.

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Conflict of interest statement

T.W.B. received funding from the Wellcome Trust and NICHD of NIH (R01-HD084233) and NIAID of NIH (R01-AI124389 and R01-AI112339). The other authors have no funding or conflicts of interest to disclose.

Figures

FIGURE 1.
FIGURE 1.
Prevalence of (A) HIV, (B) recent partnerships, (C) condom use, and (D) casual sex, by age and sex. Study population is HAALSI participants (men and women aged 40 years and above) in rural South Africa, 2014–2015 (n = 5059). Prevalence estimates and 95% confidence intervals were calculated using log-binomial regression models. HIV prevalence estimates are based on laboratory-confirmed testing. Condom use and casual sex outcomes were calculated among those reporting at least 1 sex partner in the past 24 months (n = 2765).
FIGURE 2.
FIGURE 2.
Number of sex partners in the past 24 months, by age and sex. Study population is HAALSI participants (men and women aged 40 years and above) in rural South Africa, 2014–2015 (n = 5059). Number of sex partners in the past 24 months is categorized into 0, 1, and more than 1 partner.
FIGURE 3.
FIGURE 3.
Sexual behavior profiles by HIV status based on self-report and laboratory testing. Study population is HAALSI participants (men and women aged 40 years and older) in rural South Africa, 2014–2015 (n = 5059). A, Prevalence estimates and 95% CIs were calculated using log-binomial regression models. B, Estimates standardized to the age and sex composition of the full study population were calculated using marginal structural log-binomial models. Condom use, casual sex, and multiple partners outcomes were calculated among those reporting at least 1 sex partner in the past 24 months (n = 2765). The HIV-negative category consists of all participants with HIV-negative laboratory test. The category “HIV-positive with positive self-report” consists of all participants with an HIV-positive laboratory test and HIV-positive self-report. The category “HIV-positive with negative or “DK” self-report” consists of all participants with HIV-positive laboratory test and HIV-negative or “don't know” self-report.

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