Predicting HIV self-testing intentions among Chinese college students: a dual-model analysis integrating health belief constructs and machine learning prioritization

Predicting HIV self-testing intentions among Chinese college students: a dual-model analysis integrating health belief constructs and machine learning prioritization

IntroductionAs college students emerge as a key HIV-vulnerable population in China, HIV self-testing (HIVST) presents a critical strategy for enhancing detection rates and enabling timely intervention. While observational studies have identified multifactorial influences on HIVST willingness, few in...

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Bibliographic Details
Main Authors: Yan Jiang, Jing Li, Jingfen Lu, Liping He, Lin Hu, Jiazhen He, Xianli Huang, Yuchao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Public Health
Subjects:
health belief model
college student
HIV self-testing
high-risk behaviors
random forest modeling
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1596876/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1596876/full

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