Polysubstance use profiles and HIV viremia in a South African cohort of female sex workers : a latent class analysis

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dc.contributor.author Rosen, Joseph G.
dc.contributor.author Knox, Justin R.
dc.contributor.author Rucinski, Katherine B.
dc.contributor.author Mcingana, Mfezi
dc.contributor.author Mulumba, Ntambue
dc.contributor.author Comins, Carly A.
dc.contributor.author Shipp, Lillian
dc.contributor.author Makama, Siyanda
dc.contributor.author Beckham, S. Wilson
dc.contributor.author Hausler, Harry
dc.contributor.author Baral, Stefan D.
dc.contributor.author Schwartz, Sheree R.
dc.date.accessioned 2024-07-04T09:19:25Z
dc.date.issued 2024-03
dc.description.abstract BACKGROUND : Given intersecting social and structural factors, female sex workers (FSW) exhibit elevated risk of HIV and substance use. However, there is limited study of how distinct substance use typologies influence HIV treatment outcomes among FSW. SETTING : A cross-sectional survey with objective viral load assessments of 1391 FSW enrolled into a treatment optimization-focused trial in Durban, South Africa (2018–2020). METHODS : We used latent class analysis to uncover discrete patterns in past-month self-reported use of the following substances: heavy alcohol use, cannabis, cocaine, crack, ecstasy, methamphetamine, heroin, and Whoonga. We used Wald tests to identify multilevel predictors of latent class membership and multivariable mixture modeling to quantify associations of substance use classes with HIV viremia (≥50 RNA copies/mL). RESULTS : Substance use (87%) and HIV viremia (62%) were highly prevalent. Latent class analysis uncovered 3 polysubstance use profiles: Heavy Alcohol Use Only (∼54%); Cannabis, Heavy Alcohol, & Crack Use (∼28%); and Whoonga & Crack Use (∼18%). Whoonga & Crack Use was associated with social and structural adversities, including homelessness, outdoor/public sex work, HIV stigma, and violence. Relative to Heavy Alcohol Use Only, HIV viremia was significantly higher in the Whoonga & Crack Use class (adjusted odds ratio 1.97, 95% confidence interval: 1.13 to 3.43), but not in the Cannabis, Heavy Alcohol, & Crack Use class (adjusted odds ratio 1.17, 95% confidence interval: 0.74 to 1.86). CONCLUSION : HIV viremia differed significantly across identified polysubstance use profiles among South African FSW. Integrating drug treatment and harm reduction services into HIV treatment programs is key to improving virologic outcomes in marginalized communities. en_US
dc.description.department Family Medicine en_US
dc.description.embargo 2025-03-01
dc.description.librarian hj2024 en_US
dc.description.sdg SDG-03:Good heatlh and well-being en_US
dc.description.uri https://journals.lww.com/jaids/pages/default.aspx en_US
dc.identifier.citation Rosen, J.G., Knox, J.R., Rucinski, K.B., Mcingana, M., Mulumba, N., Comins, C.A., Shipp, L., Makama, S., Beckham, S.W., Hausler, H., Baral, S.D. & Schwartz, S.R. Polysubstance Use Profiles and HIV Viremia in a South African Cohort of Female Sex Workers: A Latent Class Analysis. JAIDS Journal of Acquired Immune Deficiency Syndromes 95(3):p 222-230, March 1, 2024. DOI: 10.1097/QAI.0000000000003356. en_US
dc.identifier.issn 1525-4135 (print)
dc.identifier.issn 1077-9450 (online)
dc.identifier.other 10.1097/QAI.0000000000003356
dc.identifier.uri http://hdl.handle.net/2263/96793
dc.language.iso en en_US
dc.publisher Lippincott, Williams & Wilkins en_US
dc.rights © 2024 Wolters Kluwer Health, Inc. All rights reserved. en_US
dc.subject Female sex workers (FSW) en_US
dc.subject Human immunodeficiency virus (HIV) en_US
dc.subject Sex work en_US
dc.subject People living with HIV (PLHIV) en_US
dc.subject Viral load suppression en_US
dc.subject Substance use en_US
dc.subject HIV treatment en_US
dc.subject South Africa (SA) en_US
dc.subject.other Health sciences articles SDG-10
dc.subject.other SDG-10: Reduced inequalities
dc.subject.other Health sciences articles SDG-03
dc.subject.other SDG-03: Good health and well-being
dc.title Polysubstance use profiles and HIV viremia in a South African cohort of female sex workers : a latent class analysis en_US
dc.type Postprint Article en_US


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