Evidence map›Paper›PMID 41484908›Full record

ArticleBMC psychology2026

The relationship between HIV infection and depression and their determinants in the MSM population in Eastern China: an analysis based on decision tree modelling and logistic regression.

Yiwei Zhou, Zejie Zhang, Wancang Li, Lite Zeng, Chunyan Shan, Tianquan Chen, Zu-Mu Zhou

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Article in BMC psychology, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yiwei ZhouBusiness School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zejie ZhangQingtian Center for Disease Control and Prevention, Zhejiang, 323900, China.
Wancang LiDepartment of Health Assessment, Wenzhou Center for Disease Control and Prevention, Wenzhou, 325000, China.
Lite ZengZhejiang Jerinte Health Technology Co.,Ltd, Wenzhou, 325000, China.
Chunyan ShanThe Affiliated Kangning Hospital of Wenzhou Medical University Zhejiang Provincial Clinical Research Center for Mental Disorders, 1 Shengjin Road, Huanglong Residential District, Wenzhou, 325007, China.
Tianquan ChenThe Affiliated Kangning Hospital of Wenzhou Medical University Zhejiang Provincial Clinical Research Center for Mental Disorders, 1 Shengjin Road, Huanglong Residential District, Wenzhou, 325007, China.
Zu-Mu ZhouThe Affiliated Kangning Hospital of Wenzhou Medical University Zhejiang Provincial Clinical Research Center for Mental Disorders, 1 Shengjin Road, Huanglong Residential District, Wenzhou, 325007, China. zhouzumu@126.com.

Funding

2022 Ministry of Education of China Humanities and Social Science Youth Foundation Project 22YJC790189National Social Science Foundation of China Post-Funding Project 24FJYB002Shanghai Key Laboratory of Urban Design and Urban Science, NYU Shanghai Open Topic Grants Grant No.2023YWZhou_LOUDWenzhou Science and Technology Bureau Science and Technology Program Project Y20240642Zhejiang Provincial Clinical Research Center for Mental Disorders Foundation Project SLC202309
6 · The paper itself

Abstract

objectiveThis study aims to investigate the depression status of the MSM population, explore the depression characteristics associated with different HIV statuses within this group, and determine the key factors influencing depression in this population. STUDY

designThis was a cross-sectional web-based survey.

methodsThis study was conducted through a web-based comprehensive HIV service platform for the MSM population. The questionnaire included basic socio-demographic information of the respondents, HIV-related information and the Patient Health Questionnaire (PHQ-9). A decision tree model combined with logistic regression was used to assess the factors influencing depression in the MSM population.

resultsAmong the 1070 MSM in this study, the depression prevalence was 28.9%, the overall HIV prevalence among MSM was 3.4%, the depression prevalence among HIV-positive MSM was 44.4%, and that among HIV-negative MSM was 26.3%. Decision tree modelling combined with logistic regression analysis showed that marital status, age and employment status were the factors significantly influencing depression in the MSM population.

conclusionsThe prevalence of depression is high in the MSM population. Marital status, age and employment status are influential factors for depression in the MSM population. Decision tree modelling combined with logistic regression could be considered as an assessment tool for the relationship between HIV infection and depression and their correlates in the MSM population.

Indexed as

Decision TreesDepressionHIV InfectionsHomosexuality, MaleAdolescentAdultChinaCross-Sectional StudiesHumansLogistic ModelsMaleMarital StatusMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesDecision tree modellingDepressionHIVLogistic regressionMSM population

Identifiers

PMID41484908
PMCPMC12866518

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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.