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Profiles of Sexual Economic Exchanges among Women in Kisumu, Kenya: A Latent Class Analysis
Mary Anne E Roach1, Talia Loeb2, Kalai Willis2
1Program for Implementation and Equity Research, Department of Epidemiology, Center for Public Health and Human Rights, Johns Hopkins University Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD, 21205, USA. mroach7@jh.edu.
Abstract:
Sexual economic exchanges, including sex work and transactional sex, have been consistently associated with HIV acquisition among young women in sub-Saharan Africa. Heterogeneity in HIV vulnerability across overlapping types of sexual economic exchange has not been sufficiently explored, limiting appropriate and effective linkage to prevention interventions. From January 2017 to May 2018, cross-sectional data were captured at screening for entry into an HIV incidence cohort in Kisumu, Kenya. Men and women aged 18-35 years completed a socio-behavioral questionnaire. Latent class analysis was used to classify sexually active women into discrete groups based on self-identification of occupational sex and other sexual exchanges, including exchange for money, gifts, food, school fees, substances, shelter/rent, and/or clothing. Profiles examined characteristics within and across typologies. Mixed logistic regression models assessed demographic and socio-behavioral characteristics associated with probabilistic class membership. A total of 1063 participants were screened, of whom 536 (50.4%) were sexually active women (median age: 27 years [interquartile range 23-30]). Sexual economic exchange was reported by 403 (77.2%) sexually active women, who most commonly reported recent exchange of sex for money (73.9%), gifts (19.6%), food (25.9%), and substances (17.7%); 44.6% reported selling sex as a primary or secondary occupation. Three profiles of sexual economic exchange were identified, each with distinct demographic, behavioral, and occupational characteristics: exchange for money and other necessities (23.3% prevalence), exchange for primarily money (38.2% prevalence), and sex comprising limited or no exchange (38.4% prevalence). In mixture modeling, as compared to limited or no exchange, exchange for money and other necessities, and exchange for primarily money were both associated with increased age, higher number of partners, and partners at least 10 years older. Heterogeneous patterns of sexual economic exchange were observed among women in Kenya reflect the different motivations and pathways by which women exchange sex. Female sex workers are often considered a homogeneous group, but these data highlight the need for differentiated services based on the diverse needs of women who engage in sexual economic exchange.
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