Evidence map›Paper›PMID 41204209›Full record

ArticleBMC public health2025

Predictive analysis of influencing factors on HIV testing behavior among college students in Shanxi, China.

Danhe Zhao, Xinyang Zhang, Xiaoting Liang, Yanqing Zhao, Baobei Niu, Li Wang

Abstract read
In one paragraph

Article in BMC 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Danhe ZhaoDepartment of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China.
Xinyang ZhangDepartment of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China.
Xiaoting LiangSchool of Basic Medical Science, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China.
Yanqing ZhaoLyuliang University, Lüliang , Shanxi Province, 033000, China.
Baobei NiuShanxi Technology and Business, Taiyuan, Shanxi Province, 030001, China.
Li WangDepartment of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China. wangli_1@sxmu.edu.cn.

Funding

Shanxi Province Higher Education "Billion Project" Science and Technology Guidance Project, the Lüliang Science and Technology Plan Project BYBLK011-05, 2023SHFZ49
6 · The paper itself

Abstract

backgroundDespite high level of acceptance, human immunodeficiency virus (HIV) testing rate among Chinese college students remained low. Few studies examined the extent of the relationship between HIV testing behavior and its influencing factors among college students. This study aimed to investigate HIV testing rates among college students and examine key factors associated with HIV testing behavior.

methodsThe convenience sampling method was used for college students from four colleges in Shanxi from October to December 2023. A network questionnaire survey was designed to collect information on general demographics, sexual encounters, and HIV testing behavior. Logistic regression and the decision tree model were combined to identify key factors influencing HIV testing behavior among college students.

resultsAmong 3,115 college students, the rate of HIV testing was 2.5% (n = 77) in the past year. The binary logistic regression analysis indicated that students who had received school sex education (aOR = 2.78, 95%CI:1.51-5.09), homosexual orientation (aOR = 3.12, 95%CI:1.09-8.93), and had engaged in a sexual encounter in the past year (aOR = 5.13, 95%CI:2.50-10.53) were positively associated with HIV testing behavior. In addition, compared with freshmen, only sophomores were more likely to undergo HIV testing (aOR = 1.87, 95%CI:1.01-3.43). Further, the decision tree model revealed that the most significant factor influencing HIV testing behavior was having had a sexual encounter in the past year, followed by being in love and having received school sex education. The accuracy rate of the decision tree model was 97.53%, the precision rate was 97.53%, and the F1 value was 0.99.

conclusionHIV testing rate among the college students was relatively low. Sexual experience, being in love and school sex education were significant predictors of HIV testing behavior. Being offered HIV self-testing services and implemented sex education programs at an early age may promote HIV testing behavior among college students.

Indexed as

HIV InfectionsHIV TestingStudentsAdolescentAdultChinaFemaleHumansMaleSexual BehaviorSurveys and QuestionnairesUniversitiesYoung AdultCollege studentsDecision treeHIV testingInfluencing factor

Identifiers

PMID41204209
PMCPMC12595785

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.