Paper title: |
Latent class analysis of risk factors for acquiring HIV among adolescent girls and young women: A case of DREAMS program in Zimbabwe |
DOI: | https://doi.org/10.4316/JACSM.202401003 |
Published in: | Issue 1, (Vol. 18) / 2024 |
Publishing date: | 2024-11-15 |
Pages: | 18-28 |
Author(s): | MUDZENGERERE Fungai Hamilton, BODHLYERA Oliver, DHAKWA Dominica, MADZIMA Bernard, TAFUMA Taurayi, BHATASARA Taurai, MAFAUNE Haurovi, TACHIWENYIKA Emmanuel |
Abstract. | Adolescent girls and young women (AGYW) aged 10-19 years remain at high risk of human immunodeficiency virus (HIV) with low resource settings deeply affected. In sub-Saharan Africa, AGYW accounts for 25% of new infections despite constituting 10% of the total population. We conducted Latent Class Analysis (LCA) to model risk factors for vulnerability to HIV among AGYW enrolled in the Determined, Resilient, Empowered, AIDS-free, Mentored, and Safe (DREAMS) program in Zimbabwe. poLCA package, an add on to R-studio was used for classifying vulnerability of AGYW. An LCA model was developed and association between different classes and vulnerability to HIV were determined. Variables analyzed were school status, risk of dropping out of school, orphanhood, ever had sex, engagement in transactional sex, had sexually transmitted infections (STI), have multiple sexual partners, no or irregular condom use, experience of any violence, experience of sexual violence, alcohol use and misuse, and history of pregnancy. Predictors of outcome used in the analysis were source of income, location (urban, rural, peri-urban) and marital status (single, married divorced/separated). Study findings demonstrated the intensity of LCA in grouping vulnerabilities to HIV among AGYW. Such classifications are very critical in customizing interventions to specific vulnerable groups of AGYW to reach HIV epidermic control. We found five distinct classes for vulnerability to HIV among the 10–14-year-old AGYW, and three classes for 15–19-year-old AGYW. AGYW in higher vulnerability classes which constituted 47.7% of the 10–14- year-old AGYW and 43.7% of the 15–19-year-old AGYW. The highly vulnerable classes had AGYW who were single, those in rural areas, those who use drugs and alcohol, and those engaged in transactional sex. We recommend customized interventions for AGYW who use alcohol and drugs, with school dropout risk, engaged in transactional sex and those who resides in rural areas. |
Keywords: | Latent Class Analysis, HIV, DREAMS, Model, AGYW |
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