» Articles » PMID: 35077459

Population Sizes, HIV Prevalence, and HIV Prevention Among Men Who Paid for Sex in Sub-Saharan Africa (2000-2020): A Meta-analysis of 87 Population-based Surveys

Overview
Journal PLoS Med
Specialty General Medicine
Date 2022 Jan 25
PMID 35077459
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Key populations, including sex workers, are at high risk of HIV acquisition and transmission. Men who pay for sex can contribute to HIV transmission through sexual relationships with both sex workers and their other partners. To characterize the population of men who pay for sex in sub-Saharan Africa (SSA), we analyzed population size, HIV prevalence, and use of HIV prevention and treatment.

Methods And Findings: We performed random-effects meta-analyses of population-based surveys conducted in SSA from 2000 to 2020 with information on paid sex by men. We extracted population size, lifetime number of sexual partners, condom use, HIV prevalence, HIV testing, antiretroviral (ARV) use, and viral load suppression (VLS) among sexually active men. We pooled by regions and time periods, and assessed time trends using meta-regressions. We included 87 surveys, totaling over 368,000 male respondents (15-54 years old), from 35 countries representing 95% of men in SSA. Eight percent (95% CI 6%-10%; number of surveys [Ns] = 87) of sexually active men reported ever paying for sex. Condom use at last paid sex increased over time and was 68% (95% CI 64%-71%; Ns = 61) in surveys conducted from 2010 onwards. Men who paid for sex had higher HIV prevalence (prevalence ratio [PR] = 1.50; 95% CI 1.31-1.72; Ns = 52) and were more likely to have ever tested for HIV (PR = 1.14; 95% CI 1.06-1.24; Ns = 81) than men who had not paid for sex. Men living with HIV who paid for sex had similar levels of lifetime HIV testing (PR = 0.96; 95% CI 0.88-1.05; Ns = 18), ARV use (PR = 1.01; 95% CI 0.86-1.18; Ns = 8), and VLS (PR = 1.00; 95% CI 0.86-1.17; Ns = 9) as those living with HIV who did not pay for sex. Study limitations include a reliance on self-report of sensitive behaviors and the small number of surveys with information on ARV use and VLS.

Conclusions: Paying for sex is prevalent, and men who ever paid for sex were 50% more likely to be living with HIV compared to other men in these 35 countries. Further prevention efforts are needed for this vulnerable population, including improved access to HIV testing and condom use initiatives. Men who pay for sex should be recognized as a priority population for HIV prevention.

Citing Articles

Prevalence of Paid Sex and Associated Factors Among Women and Men Attending HIV Voluntary Counseling and Testing in Kinshasa, Democratic Republic of the Congo: A Prospective Cohort.

Carlos S, Reina G, Burgueno E, Makonda B, de Irala J, Beltramo C Arch Sex Behav. 2024; 53(9):3625-3637.

PMID: 39147958 PMC: 11390826. DOI: 10.1007/s10508-024-02939-w.


Prevalence and predictors of HIV testing among young men in Papua New Guinea: A cross-sectional analysis of a nationally representative sample.

Maviso M PLoS One. 2024; 19(8):e0306807.

PMID: 39141635 PMC: 11324100. DOI: 10.1371/journal.pone.0306807.


The impact of past HIV interventions and diagnosis gaps on new HIV acquisitions, transmissions, and HIV-related deaths in Côte d'Ivoire, Mali, and Senegal.

Silhol R, Maheu-Giroux M, Soni N, Fotso A, Rouveau N, Vautier A AIDS. 2024; 38(12):1783-1793.

PMID: 38953898 PMC: 11356671. DOI: 10.1097/QAD.0000000000003974.


Measuring HIV Acquisitions Among Partners of Key Populations: Estimates From HIV Transmission Dynamic Models.

Silhol R, Anderson R, Stevens O, Stannah J, Booton R, Baral S J Acquir Immune Defic Syndr. 2024; 95(1S):e59-e69.

PMID: 38180739 PMC: 10769162. DOI: 10.1097/QAI.0000000000003334.


New HIV Infections Among Key Populations and Their Partners in 2010 and 2022, by World Region: A Multisources Estimation.

Korenromp E, Sabin K, Stover J, Brown T, Johnson L, Martin-Hughes R J Acquir Immune Defic Syndr. 2024; 95(1S):e34-e45.

PMID: 38180737 PMC: 10769164. DOI: 10.1097/QAI.0000000000003340.


References
1.
Behanzin L, Diabate S, Minani I, Lowndes C, Boily M, Labbe A . Assessment of HIV-related risky behaviour: a comparative study of face-to-face interviews and polling booth surveys in the general population of Cotonou, Benin. Sex Transm Infect. 2013; 89(7):595-601. PMC: 3800174. DOI: 10.1136/sextrans-2012-050884. View

2.
Tanser F, de Oliveira T, Maheu-Giroux M, Barnighausen T . Concentrated HIV subepidemics in generalized epidemic settings. Curr Opin HIV AIDS. 2013; 9(2):115-25. PMC: 4228373. DOI: 10.1097/COH.0000000000000034. View

3.
Shaw S, Deering K, Reza-Paul S, Isac S, Ramesh B, Washington R . Prevalence of HIV and sexually transmitted infections among clients of female sex workers in Karnataka, India: a cross-sectional study. BMC Public Health. 2012; 11 Suppl 6:S4. PMC: 3287557. DOI: 10.1186/1471-2458-11-S6-S4. View

4.
Jewkes R, Morrell R, Sikweyiya Y, Dunkle K, Penn-Kekana L . Transactional relationships and sex with a woman in prostitution: prevalence and patterns in a representative sample of South African men. BMC Public Health. 2012; 12:325. PMC: 3433345. DOI: 10.1186/1471-2458-12-325. View

5.
Baral S, Beyrer C, Muessig K, Poteat T, Wirtz A, Decker M . Burden of HIV among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Infect Dis. 2012; 12(7):538-49. DOI: 10.1016/S1473-3099(12)70066-X. View