Analysis of risk prevention behaviors and influencing factors of HIV infection among young students with MSM
10.16835/j.cnki.1000-9817.2025268
- VernacularTitle:男男性行为青年学生感染HIV风险防控行为及影响因素分析
- Author:
ZHANG Xiaoyan, LIU Yuanyuan, DONG Jingran, LIN Zhan, ZHANG Junfeng,〖JZ〗 YANG Jie, YU Maohe, LI Changping, CUI Zhuang
1
Author Information
1. Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
- Publication Type:Journal Article
- Keywords:
Homosexuality,male;
Human immunodeficiency virus proteins;
Behavior;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2025;46(9):1323-1327
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the potential category patterns of risk prevention and control behaviors of HIV infection among young students who have sex with men (MSM) and their impact on HIV infection and late detection, aiming to optimize intervention strategies.
Methods:From September 2017 to December 2024, a total of 1 637 MSM young students in Tianjin were recruited through both online and offline channels. Latent class analysis was applied to classify 11 HIV risk prevention and control behaviors [condom use during the most recent anal sex in the past 6 months, consistent condom use, use of water based lubricants, abstinence from recreational drugs, regular on site professional testing, fixed sexual partners, partner testing, awareness of partner s HIV testing results, testing before sexual activity, nucleic acid testing, and use of pre exposure prophylaxis (PrEP) or post exposure prophylaxis (PEP)]. Multivariate Logistic regression analyzed associations between demographic characteristics/intervention services factors and latent classes. Differences in HIV infection and late detection across behavior patterns were compared.
Results:HIV risk prevention and control behaviors among MSM students were classified into three latent classes:condom dependent group (38.42%), low prevention group (27.73%), and comprehensive prevention group (33.85%). Students who received condom promotion/testing services were more likely to belong to the comprehensive prevention group ( OR =5.58), while those who received peer education were less likely to the comprehensive prevention group ( OR =0.43) (both P <0.01). Among the MSM student population, the HIV infection rate was 4.83%, with 2.26% of cases detected late. The HIV infection rate (1.45%) and late detection proportion (0.82%) in the comprehensive prevention group were lower than those in the low prevention group (7.89% and 3.83%, respectively) ( χ 2=16.20, 7.31, both P <0.01).
Conclusions:HIV risk prevention and control behaviors among MSM young students exhibit significant heterogeneity. Comprehensive prevention strategies can effectively reduce HIV infection and late detection risks. It is necessary to optimize peer education content and improve the accessibility of diversified prevention measures such as PrEP/PEP to enhance HIV prevention and control.
