The impact of HIV prevention behavior patterns on infection risk among young men who have sex with men: a latent class analysis

OBJECTIVE: HIV infection rises rapidly in YMSM (young men who have sex with men). Despite extensive promotion of risk-reduction measures, existing research lacks categorical analysis of multidimensional prevention combinations, limiting precise interventions. This study uses latent class analysis (LCA) to identify prevention behavior patterns, analyze influencing factors, and evaluate association with HIV. METHODS: From January 2021 to December 2024, 2,685 YMSM aged 15-24 in Tianjin were recruited through online and offline methods. 13 HIV-prevention indicators (one cognitive, twelve behavioral) were classified using LCA. Multinomial logistic regression analyzed associations between latent classes and demographics/intervention services factors, while differences in HIV infection across prevention behavior patterns were compared. RESULTS: Four distinct HIV prevention classes emerged: "High-Risk Perception with Biomedical Reliance" (Class 1; 16.61%), "Low-Risk Perception with Condom Reliance" (Class 2; 16.72%), "Low-Risk Perception with Low Protection" (Class 3; 29.39%), and "High-Risk Perception with Partner & Barrier Strategy" (Class 4; 37.28%). Multinomial logistic regression showed that students were less likely to be classified into Class 1 (aOR = 0.56, 95%CI: 0.42-0.76) and Class 2 (aOR = 0.75, 95%CI: 0.57-0.97), and more likely to belong to Class 3. Online partner-seekers were less likely to fall into Class 2 (aOR = 0.58, 95%CI: 0.37-0.90) and Class 4 (aOR = 0.24, 95%CI: 0.17-0.36), and more prone to Class 3. For intervention services, those who received condom promotion or HIV counseling and testing were more likely to be categorized into Class 1 (aOR = 6.78, 95%CI: 4.20-10.95), Class 2 (aOR = 2.65, 95%CI: 1.86-3.77), and Class 4 (aOR = 10.64, 95%CI: 7.65-14.80), whereas peer education was negatively associated with Class 2 (aOR = 0.63, 95% CI: 0.44-0.91) and Class 4 (aOR = 0.34, 95% CI: 0.25-0.47). HIV analysis revealed Class 3 had the highest HIV positivity rate (6.60%, 95% CI: 5.08-8.77), followed by Class 1 (2.26%, 95% CI: 1.11-4.54) and Class 4 (2.20%, 95% CI: 1.20-3.32), with Class 2 showing the lowest rate (0.83%, 95% CI: 0.28-2.45). CONCLUSION: Among YMSM, HIV prevention behavior is highly heterogeneous. The highest-risk subgroup-"Low-Risk Perception with Low Protection"-should be prioritized, particularly among students and online partner-seekers. Peer education programs may require further optimization, while integrated prevention strategies should combine condom use, biomedical tools, and both online and offline delivery channels.

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Journal
BMC Public Health
Published
2026-04-30
DOI
https://doi.org/10.1186/s12889-026-27517-8
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
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article

The impact of HIV prevention behavior patterns on infection risk among young men who have sex with men: a latent class analysis

Jianyun Bai, Xiaoping Zhan, M T Li, Yi Liu et al.
BMC Public Health
HIV/AIDS Research and Interventions
article

The impact of HIV prevention behavior patterns on infection risk among young men who have sex with men: a latent class analysis

Jianyun Bai, Xiaoping Zhan, M T Li, Yi Liu, Xi Zhang, Zhan Lin, Jingran Dong, Maohe Yu, Jie Yang, Junfeng Zhang, Changping Li, Zhuang Cui
article en

Abstract

OBJECTIVE: HIV infection rises rapidly in YMSM (young men who have sex with men). Despite extensive promotion of risk-reduction measures, existing research lacks categorical analysis of multidimensional prevention combinations, limiting precise interventions. This study uses latent class analysis (LCA) to identify prevention behavior patterns, analyze influencing factors, and evaluate association with HIV. METHODS: From January 2021 to December 2024, 2,685 YMSM aged 15-24 in Tianjin were recruited through online and offline methods. 13 HIV-prevention indicators (one cognitive, twelve behavioral) were classified using LCA. Multinomial logistic regression analyzed associations between latent classes and demographics/intervention services factors, while differences in HIV infection across prevention behavior patterns were compared. RESULTS: Four distinct HIV prevention classes emerged: "High-Risk Perception with Biomedical Reliance" (Class 1; 16.61%), "Low-Risk Perception with Condom Reliance" (Class 2; 16.72%), "Low-Risk Perception with Low Protection" (Class 3; 29.39%), and "High-Risk Perception with Partner & Barrier Strategy" (Class 4; 37.28%). Multinomial logistic regression showed that students were less likely to be classified into Class 1 (aOR = 0.56, 95%CI: 0.42-0.76) and Class 2 (aOR = 0.75, 95%CI: 0.57-0.97), and more likely to belong to Class 3. Online partner-seekers were less likely to fall into Class 2 (aOR = 0.58, 95%CI: 0.37-0.90) and Class 4 (aOR = 0.24, 95%CI: 0.17-0.36), and more prone to Class 3. For intervention services, those who received condom promotion or HIV counseling and testing were more likely to be categorized into Class 1 (aOR = 6.78, 95%CI: 4.20-10.95), Class 2 (aOR = 2.65, 95%CI: 1.86-3.77), and Class 4 (aOR = 10.64, 95%CI: 7.65-14.80), whereas peer education was negatively associated with Class 2 (aOR = 0.63, 95% CI: 0.44-0.91) and Class 4 (aOR = 0.34, 95% CI: 0.25-0.47). HIV analysis revealed Class 3 had the highest HIV positivity rate (6.60%, 95% CI: 5.08-8.77), followed by Class 1 (2.26%, 95% CI: 1.11-4.54) and Class 4 (2.20%, 95% CI: 1.20-3.32), with Class 2 showing the lowest rate (0.83%, 95% CI: 0.28-2.45). CONCLUSION: Among YMSM, HIV prevention behavior is highly heterogeneous. The highest-risk subgroup-"Low-Risk Perception with Low Protection"-should be prioritized, particularly among students and online partner-seekers. Peer education programs may require further optimization, while integrated prevention strategies should combine condom use, biomedical tools, and both online and offline delivery channels.

BMC Public Health
Tianjin Centers for Disease Control and Prevention (CN), Beijing Enterprises (China) (CN), Tianjin Medical University (CN)
National Natural Science Foundation of China, Humanities and Social Science Fund of Ministry of Education of China, Tianjin Science and Technology Program
Good health and well-being
Openalex Percentile: Top 10%
HIV/AIDS Research and Interventions
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