Brantley Meredith L, Kerrigan Deanna, German Danielle, Lim Sahnah, Sherman Susan G
Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, USA.
Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
AIDS Behav. 2017 Oct;21(10):3047-3056. doi: 10.1007/s10461-017-1673-1.
Women who are structurally vulnerable are at heightened risk for HIV/STIs. Identifying typologies of structural vulnerability that drive HIV/STI risk behavior is critical to understanding the nature of women's risk. Latent class analysis (LCA) was used to classify exotic dancers (n = 117) into subgroups based on response patterns of four vulnerability indicators. Latent class regression models tested whether sex- and drug-related risk behavior differed by vulnerability subgroup. Prevalence of vulnerability indicators varied across housing instability (39%), financial insecurity (39%), limited education (67%), and arrest history (36%). LCA yielded a two-class model solution, with 32% of participants expected to belong to a "high vulnerability" subgroup. Dancers in the high vulnerability subgroup were more likely to report sex exchange (OR = 8.1, 95% CI, 1.9-34.4), multiple sex partnerships (OR = 6.4, 95% CI, 1.9-21.5), and illicit drug use (OR = 17.4, 95% CI, 2.5-123.1). Findings underscore the importance of addressing inter-related structural factors contributing to HIV/STI risk.
在结构上处于弱势的女性感染艾滋病毒/性传播感染的风险更高。识别导致艾滋病毒/性传播感染风险行为的结构脆弱性类型对于理解女性风险的本质至关重要。潜在类别分析(LCA)用于根据四个脆弱性指标的反应模式将脱衣舞女(n = 117)分为不同亚组。潜在类别回归模型检验了与性和毒品相关的风险行为在脆弱性亚组之间是否存在差异。脆弱性指标的患病率在住房不稳定(39%)、经济不安全(39%)、教育程度有限(67%)和有被捕记录(36%)之间各不相同。潜在类别分析得出了一个两类模型解决方案,预计32%的参与者属于“高脆弱性”亚组。高脆弱性亚组中的舞者更有可能报告性交易(比值比=8.1,95%置信区间,1.9 - 34.4)、多个性伴侣(比值比=6.4,95%置信区间,1.9 - 21.5)以及非法药物使用(比值比=17.4,95%置信区间,2.5 - 123.1)。研究结果强调了解决导致艾滋病毒/性传播感染风险的相互关联的结构因素的重要性。