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

dc.contributor.authorRosen, Joseph G.
dc.contributor.authorKnox, Justin R.
dc.contributor.authorRucinski, Katherine B.
dc.contributor.authorMcingana, Mfezi
dc.contributor.authorMulumba, Ntambue
dc.contributor.authorComins, Carly A.
dc.contributor.authorShipp, Lillian
dc.contributor.authorMakama, Siyanda
dc.contributor.authorBeckham, S. Wilson
dc.contributor.authorHausler, Harry
dc.contributor.authorBaral, Stefan D.
dc.contributor.authorSchwartz, Sheree R.
dc.date.accessioned2024-07-04T09:19:25Z
dc.date.issued2024-03
dc.description.abstractBACKGROUND : 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.departmentFamily Medicineen_US
dc.description.embargo2025-03-01
dc.description.librarianhj2024en_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.urihttps://journals.lww.com/jaids/pages/default.aspxen_US
dc.identifier.citationRosen, 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.issn1525-4135 (print)
dc.identifier.issn1077-9450 (online)
dc.identifier.other10.1097/QAI.0000000000003356
dc.identifier.urihttp://hdl.handle.net/2263/96793
dc.language.isoenen_US
dc.publisherLippincott, Williams & Wilkinsen_US
dc.rights© 2024 Wolters Kluwer Health, Inc. All rights reserved.en_US
dc.subjectFemale sex workers (FSW)en_US
dc.subjectHuman immunodeficiency virus (HIV)en_US
dc.subjectSex worken_US
dc.subjectPeople living with HIV (PLHIV)en_US
dc.subjectViral load suppressionen_US
dc.subjectSubstance useen_US
dc.subjectHIV treatmenten_US
dc.subjectSouth Africa (SA)en_US
dc.subject.otherHealth sciences articles SDG-10
dc.subject.otherSDG-10: Reduced inequalities
dc.subject.otherHealth sciences articles SDG-03
dc.subject.otherSDG-03: Good health and well-being
dc.titlePolysubstance use profiles and HIV viremia in a South African cohort of female sex workers : a latent class analysisen_US
dc.typePostprint Articleen_US

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