Evidence map›Paper›PMID 39883368›Full record

ArticleAIDS and behavior2025

Pre-exposure Prophylaxis (PrEP) Awareness and Engagement Among MSM at High Risk of HIV Infection in China: A Multi-City Cross-Sectional Survey.

Jun Du, Sainan Wang, Hongbo Zhang, Tao Liu, Shufang Sun, Cui Yang, Nickolas Zaller, Zhen Dai, Haipeng Zha, Yanqiu Zhao and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in AIDS and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jun Du *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Sainan Wang *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Hongbo ZhangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China.
Tao LiuSchool of Public Health, Brown University, Providence, USA.
Shufang SunSchool of Public Health, Brown University, Providence, USA.
Cui YangSchool of Public Health, Rutgers University, Newark, USA.
Nickolas ZallerFay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock, USA.
Zhen DaiChengdu Center for Disease Control and Prevention, Chengdu, Sichuan Province, China.
Haipeng ZhaChengdu Tongle Health Consulting Service Center, Chengdu, Sichuan Province, China.
Yanqiu ZhaoSuzhou Center for Disease Control and Prevention, Suzhou, Jiangsu Province, China.
Yue ZhaoSuzhou Center for Disease Control and Prevention, Suzhou, Jiangsu Province, China.
Xuejiao HuWuhan Center for Disease Control and Prevention, Wuhan, Hubei Province, China.
Han YanWuhan Center for Disease Control and Prevention, Wuhan, Hubei Province, China.
Pan GaoYouth Public Health Service Center, Hefei, China.
Jun WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China.
Yehuan SunDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Zhihua ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, China. zhangzh@ahmu.edu.cn.ORCID http://orcid.org/0000-0003-1385-5828
Operario DonRollins School of Public Health, Emory University, 1518 Clifton Rd. NE Atlanta GA, Atlanta, 30322, USA. don.operario@emory.edu.

Funding

Mobile Health Intervention to Increase HIV Self Testing and Linkage to Services for High-Risk Men in ChinaR01MH123352 · NIMH · EMORY UNIVERSITY · PI OPERARIO, DON, YANG, CUI · 2020 to 2024
$2.8M
NIH HHS R01MH123352NIMH NIH HHS R01 MH123352
6 · The paper itself

Abstract

This study aimed to explore the awareness, willingness, and engagement with pre-exposure prophylaxis (PrEP) among high-risk Chinese men who have sex with men (MSM) and to investigate the factors influencing its use. A cross-sectional survey of 1800 HIV-negative MSM was conducted in Chengdu, Suzhou, and Wuhan between June 2022 and February 2023 through in-person and online recruitment methods. Univariate and multivariate logistic regression analyses were used to identify predictors of PrEP use. Bayesian network models were constructed using the bnlearn package in R 4.1.2, and inference was conducted using Netica software. Among the 1800 participants, 1467 had ever heard of PrEP, 696 were aware of its target population, and 195 had taken PrEP in the past 6 months. PrEP use was higher among individuals reporting multiple male sex partners, illicit substance use, alcohol use, HIV testing, PEP use, and sexual partners who had used PrEP. Conversely, having a female sexual partner was a barrier to PrEP use. Bayesian network modeling unveiled factors directly and indirectly impacting PrEP use. Variables like PrEP use of sexual partners, PEP use, alcohol use, HIV testing, and WeChat-based HIV knowledge platforms exhibited direct effects. Indirect effects included having a female sexual partner, number of male sexual partners, and illicit substance use. Despite high awareness, the usage of PrEP remains low among MSM. Encouraging social agencies to leverage social media platforms to provide comprehensive HIV care services, especially to meet the PrEP needs of MSM.

Indexed as

Health Knowledge, Attitudes, PracticeHIV InfectionsHomosexuality, MalePre-Exposure ProphylaxisAdultBayes TheoremChinaCross-Sectional StudiesHumansMaleMiddle AgedSexual PartnersSurveys and QuestionnairesYoung AdultHigh-riskHIVMSMPre-exposure prophylaxisPrEP

Identifiers

PMID39883368

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.