Unveiling sex difference in factors associated with suicide attempt among Chinese adolescents with depression: a machine learning-based study
The study highlights sex differences in suicide attempt predictors, emphasizing the need for sex-specific prevention strategies.
Authors
- J Y Liu (ORCID: https://orcid.org/0009-0000-2594-9018)
- Siyu Chen (ORCID: https://orcid.org/0009-0001-4204-9772)
- Ben Niu (ORCID: https://orcid.org/0000-0001-5822-8743)
- Zhenzhen Zhu (ORCID: https://orcid.org/0009-0002-2464-6757)
- Bowen Zhang (ORCID: https://orcid.org/0009-0001-7881-4800)
- Yang Wang (ORCID: https://orcid.org/0000-0001-9534-1454)
- Yongjie Zhou (ORCID: https://orcid.org/0000-0001-6384-2684)
- Xinwen Zou
Institutions
- University of Mannheim (DE)
- Shenzhen University (CN)
- Shenzhen KangNing Hospital (CN)
- Jinzhou Kangning Hospital (CN)
Publication Details
- Journal
- Journal of Mental Health
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1080/09638237.2025.2478374
- Citations
- 1
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.31
Funders
- National Natural Science Foundation of China
- Sanming Project of Medicine in Shenzhen
- Basic and Applied Basic Research Foundation of Guangdong Province