ArticleJMIR formative research2025
Associations Between Online Casual Sexual Behavior and HIV-Related Risk Behaviors Among Men Who Have Sex With Men in Southeast China: Cross-Sectional Study.
Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Prevalence and correlates of unprotected casual sex among sexually experienced college students in Guangxi: a cross-sectional study.AIDS research and therapy · 2026Article
- Spatiotemporal heterogeneity and socioeconomic determinants of syphilis incidence in Xining, Northwest China: a geospatial analysis.BMC infectious diseases · 2026Article
- Differential influences of mpox illness representation on sexual behaviors among gay, bisexual, and other men who have sex with men in Beijing and Hong Kong.BMC infectious diseases · 2026Article
- The impact of perceived stress on self-management behaviors among men who have sex with men living with HIV in China: the mediating role of self-regulatory fatigue.AIDS research and therapy · 2026Article
- A comparative study of sociodemographic characteristics, health cognition, and risky sexual behaviors between MSMO and MSMW in Zhejiang Province, Eastern China.Frontiers in public health · 2026Article
- When Geosocial Apps Outpace Sexual Health Prevention Systems.Journal of the International Association of Providers of AIDS CareArticle
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5 authors.
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Abstract
Background: With the growing popularity and convenience of the internet, an increasing number of men who have sex with men (MSM) are seeking casual sexual partners online. However, the effect of online casual sexual behavior on other HIV-related risk behaviors remains unclear. Objective: This study aims to explore the characteristics of internet-based casual sexual behavior and its relationship with HIV-related risk behaviors among MSM. Methods: This cross-sectional study was conducted between June and December 2018 in 4 cities in Zhejiang Province, China. Peer-driven sampling was used for recruitment. Announcements were disseminated by 4 community-based organizations and 10 voluntary counseling and testing clinics online and offline. After informed consent, participants completed an electronic questionnaire covering demographic characteristics, casual sexual behaviors, HIV-related risk behaviors, and HIV prevention. SPSS (version 19.0; IBM Corp) was used to conduct chi-square tests, univariate and multivariate logistic regression analyses using a backward stepwise method based on the likelihood ratio test, and Poisson regression with robust variance to identify associations between finding casual sexual partners online and other risk behaviors. P values of <.05 were considered statistically significant. Results: In the past 6 months, 40.2% (302/751) of participants reported finding casual sexual partners online; 18.9% (142/751) reported finding casual sexual partners offline; 7.6% (57/751) reported having sexual intercourse with MSM without condoms after drinking alcohol; and 6.9% (52/751) reported condomless sex after using stimulants. Among those who found partners online, 62.5% (188/301) did so more than once per month and 39.5% (113/286) had more than one online sexual partner. In total, 39.3% (114/290) had sex with online partners at home and 10.1% (30/297) sought partners in other cities. Compared with participants who engaged in receptive anal intercourse (or both roles), those who engaged only in insertive intercourse reported a higher proportion of finding partners online more than once per month (72.7% vs 57.4%, P=.01), having more than 2 online sexual partners (52.1% vs 33.3%, P=.002), and conducting inconsistent condom use with online sexual partners (40.0% vs 25.8%, P=.01). Regression analysis showed that, compared with MSM who did not find partners online, those who did were more likely to report finding casual sexual partners offline (adjusted odds ratio [aOR] 9.398; 95% CI 5.956-14.829), having sex without condoms after drinking alcohol (adjusted prevalence ratio [aPR] 1.788; 95% CI 1.062-3.011), and having sexual intercourse without condoms after using stimulants (aPR 2.064; 95% CI 1.178-3.617). Conclusions: Internet-based casual sexual behavior is increasingly common among MSM. Finding partners online was associated with offline partner-seeking and condomless use after alcohol or stimulant use. Future HIV prevention efforts should emphasize behavioral interventions tailored to MSM who use dating apps.
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