Poteat Tonia, Liu Yi, Adams Darya, van der Merwe L Leigh-Ann, Cloete Allanise, Howard Lauren E, McCarthy Janice
Division of Healthcare in Adult Populations, Duke University School of Nursing, Durham, NC, USA.
Department of Statistics, North Carolina State University, Raleigh, NC, USA.
AIDS Care. 2025 Sep;37(9):1507-1520. doi: 10.1080/09540121.2025.2535471. Epub 2025 Jul 26.
Transgender women in South Africa face a heavy HIV burden, but data on key psychosocial and structural factors remain limited. This cross-sectional study examined associations between HIV outcomes and psychosocial (substance use, alcohol use, medical distrust, community connectedness) and structural (education, homelessness, income, sex work, violence) factors. We conducted interviewer-administered surveys with 213 transgender women in Cape Town, Johannesburg, and East London between June and November 2018. Of the 213 participants, 196 knew their HIV status and 67 reported living with HIV. Multivariable logistic regression found homelessness (aOR 4.50 [95%CI: 1.67, 12.23]), sex work (aOR 5.90 [95%CI: 2.14, 16.29]), and earning above the poverty level (aOR 3.08 [95%CI: 1.37, 6.94]) were significantly associated with living with HIV. Among participants with HIV, sex work (aOR 13.39 [95%CI: 1.17, 153.67]) was the only significant predictor of viral suppression. South Africa's provision of financial support specifically for PHIV may account for associations between income and HIV; while South Africa's sex-worker specific clinics, tailored to this population's needs, may account for their higher viral suppression. Study findings highlight the importance of context-specific HIV research with key populations to identify locally relevant strategies to improve HIV outcomes.
南非的跨性别女性面临着沉重的艾滋病毒负担,但关于关键心理社会和结构因素的数据仍然有限。这项横断面研究调查了艾滋病毒感染状况与心理社会因素(物质使用、酒精使用、医疗不信任、社区联系)和结构因素(教育、无家可归、收入、性工作、暴力)之间的关联。2018年6月至11月期间,我们对开普敦、约翰内斯堡和东伦敦的213名跨性别女性进行了由访谈员实施的调查。在213名参与者中,196人知道自己的艾滋病毒感染状况,67人报告感染了艾滋病毒。多变量逻辑回归发现,无家可归(调整后比值比4.50 [95%置信区间:1.67, 12.23])、性工作(调整后比值比5.90 [95%置信区间:2.14, 16.29])以及收入高于贫困线(调整后比值比3.08 [95%置信区间:1.37, 6.94])与感染艾滋病毒显著相关。在感染艾滋病毒的参与者中,性工作(调整后比值比13.39 [95%置信区间:1.17, 153.67])是病毒抑制的唯一显著预测因素。南非专门为感染艾滋病毒的跨性别者提供财政支持,这可能解释了收入与艾滋病毒之间的关联;而南非针对这一人群需求设立的性工作者专属诊所,可能是她们病毒抑制率较高的原因。研究结果凸显了针对关键人群开展因地制宜的艾滋病毒研究以确定改善艾滋病毒感染状况的本地相关策略的重要性。