Evidence map›Paper›PMID 41170473›Full record

ArticleFrontiers in public health2025

Alcohol consumption patterns and risk of HIV transmission among men who have sex with men living with HIV in Chongqing, southwestern China.

Huailiang Chen, Hui Fan, Panhao Yang, Yingxin Luo, Jin Chen

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Huailiang Chen *Department of Infection Control, Sichuan Tianfu New Area People's Hospital, Chengdu, Sichuan, China.
Hui Fan *Department of Epidemiology and Health Statistics, School of Public Health, North Sichuan Medical College, Nanchong, Sichuan, China.
Panhao Yang *School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China.
Yingxin LuoSchool of Public Health, Chengdu Medical College, Chengdu, Sichuan, China.
Jin ChenDepartment of Medical Records Management, The People's Hospital of Tongliang District, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There has been limited research on alcohol consumption patterns and their specific risks for the transmission of human immunodeficiency virus (HIV) and sexually transmitted infections (STIs) among men who have sex with men (MSM) living with HIV. The aim of this study was to examine the effects of alcohol consumption patterns on antiretroviral treatment (ART) adherence and sexual risk-taking behaviors among MSM living with HIV in Chongqing, a municipality with the highest HIV prevalence among MSM in China. Methods: An institutionally based cross-sectional survey was conducted between 2022 and 2023 in Chongqing, China. The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) was administered to evaluate alcohol consumption patterns. Multivariate logistic regression analysis was employed to examine the associations between alcohol consumption patterns, ART adherence, and sexual risk-taking behaviors. Results: Of the 1,501 MSM living with HIV, the prevalence of alcohol use, hazardous drinking, and binge drinking was 60.2, 24.9 and 43.6%, respectively. Multivariate logistic regression analysis revealed that alcohol use, hazardous drinking, and binge drinking were significantly associated with a higher likelihood of ART non-adherence (adjusted odds ratio [aOR] = 1.89, 95% confidence interval [CI]: 1.08-3.30; aOR = 3.43, 95% CI: 2.11-5.58; aOR = 2.17, 95% CI: 1.30-3.62), having multiple sex partners (aOR = 1.62, 95% CI: 1.27-2.06; aOR = 1.49, 95% CI: 1.11-1.99; aOR = 1.65, 95% CI: 1.29-2.11), engaging in commercial sex (aOR = 2.50, 95% CI: 1.56-3.99; aOR = 3.21, 95% CI: 2.16-4.75; aOR = 3.11, 95% CI: 2.03-4.75), and participating in group sex (aOR = 1.73, 95% CI: 1.05-2.83; aOR = 1.79, 95% CI: 1.14-2.80; aOR = 1.77, 95% CI: 1.12-2.80). Alcohol use and binge drinking were associated with higher odds of casual sex (aOR = 1.31, 95% CI: 1.03-1.66; aOR = 1.52, 95% CI: 1.18-1.95). Hazardous drinking and binge drinking were associated with condomless internal ejaculation (CIE) (aOR = 1.37, 95% CI: 1.03-1.83; aOR = 1.44, 95% CI: 1.11-1.86). Conclusion: High levels of alcohol use, hazardous drinking, and binge drinking are observed among MSM living with HIV in Chongqing. Given the significant associations between alcohol consumption, ART non-adherence, and sexual risk-taking behaviors, public health strategies in Chongqing and similar settings may benefit from screening and interventions to address alcohol consumption among MSM living with HIV.

Indexed as

Alcohol DrinkingHIV InfectionsHomosexuality, MaleAdultChinaCross-Sectional StudiesHumansMaleMiddle AgedPrevalenceRisk FactorsRisk-TakingSexual Behavioralcohol consumption patternsantiretroviral treatment adherencehuman immunodeficiency virusmen who have sex with mensexual risk-taking behaviors

Identifiers

PMID41170473
PMCPMC12568656

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.