Predictors of depression among Chinese college students: a machine learning approach
This cross-sectional study identified factors associated with depression risk among Chinese college students, with psychological factors showing the strongest associations. Gender-specific patterns were observed, suggesting the importance of considering gender differences when developing mental health interventions. However, longitudinal studies are required to establish causal relationships and validate these findings through intervention trials.
Authors
- Zhongge Zhang (ORCID: https://orcid.org/0000-0002-6474-7045)
- Rui Zhu (ORCID: https://orcid.org/0000-0003-4275-4401)
- Huilin Xu (ORCID: https://orcid.org/0000-0003-2557-9752)
- Junfeng Yuan (ORCID: https://orcid.org/0009-0008-6744-725X)
- Chenghan Wu
- Lin Luo (ORCID: https://orcid.org/0000-0003-1980-0342)
- Yanling Wang (ORCID: https://orcid.org/0000-0002-8589-4239)
- Li Zhang (ORCID: https://orcid.org/0000-0003-1135-8262)
Institutions
- Guizhou Normal University (CN)
- Guizhou Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1186/s12889-025-21632-8
- Citations
- 17
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 33.89
Funders
- National Natural Science Foundation of China