Using latent class analysis to identify money boys at highest risk of HIV infection
| Autor: | Jianming Xu, H. Gong, Yuanyuan Liu, Zhiwen Li, Maohe Yu, Chaokang Li, M. Guo, Zhuang Cui, C.-M. Guo, Yanping Li, Jun Yang, Yue Zhao, Yuan Gao |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male medicine.medical_specialty China Adolescent Substance-Related Disorders Sexual Behavior Human immunodeficiency virus (HIV) HIV Infections medicine.disease_cause Risk Assessment 03 medical and health sciences Young Adult 0302 clinical medicine Risk-Taking Intervention (counseling) Medicine Humans 030212 general & internal medicine Sex Workers business.industry 030503 health policy & services Public health Significant difference Public Health Environmental and Occupational Health General Medicine medicine.disease Latent class model Substance abuse Cross-Sectional Studies Sexual Partners Sexual behavior Latent Class Analysis Residence 0305 other medical science business Demography |
| Zdroj: | Public health. 177 |
| ISSN: | 1476-5616 |
| Popis: | Limited research has been conducted to investigate the characteristics of money boys (MBs) in China. This study was aimed to identify the subgroups of MBs based on sexual behaviors, Net-based venue sex-seeking, and substance abuse.Cross-sectional study.Convenience sampling was used to recruit MBs from December 2014 to June 2015 in Tianjin, China. Face-to-face interviews were conducted for 330 MBs, and trained interviewers collected data.The laboratory-confirmed human immunodeficiency virus (HIV)-positive rate was 11.52% among 330 MBs. Four classes were identified through latent class analysis (LCA) method: 'relatively safe behavior' group, 'higher sexual risk' group, 'multiple sexual-partners' group, and 'unprotected sex and substance abuse' group, and there is a significant difference based on the HIV status. Significant differences were found in original residence, monthly income, duration in sex trade, employment, history of sexually transmitted infection (STI), HIV testing, knowledge of free antiviral treatment policy, and awareness of free AIDS testing between the four latent classes (P 0.05). MBs who used Net-based venues to seek sexual partners; who have inconsistent condom use, substance abuse, a longer duration in sex trade, multiple sexual clients, and multiple anal sex; and who were full-time employed had the highest risk of HIV infection.The utility of LCA to identify subgroups based on risky behaviors attributes to formulating targeted intervention strategy. |
| Databáze: | OpenAIRE |
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