Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach

Females showed more vulnerability to SI than males especially among females in junior high school, reporting aggressive behavior and bullying experiences. Tailored prevention strategies, informed by these gender-related distinctions, should be developed and implemented.

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Publication Details

Journal
Journal of Affective Disorders
Published
2024-08-13
DOI
https://doi.org/10.1016/j.jad.2024.08.072
Citations
4
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
2.56

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article

Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach

Ruiyu Li, Feng Jiao, Ting Song, Yuan Huang et al.
4 citations
Journal of Affective Disorders
Suicide and Self-Harm Studies
2.56
article

Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach

Ruiyu Li, Feng Jiao, Ting Song, Yuan Huang, Zhijie Fang, Qi Wang, Ying Chen, Rui Deng, Xiao Yan
article en
4 citations

Abstract

Females showed more vulnerability to SI than males especially among females in junior high school, reporting aggressive behavior and bullying experiences. Tailored prevention strategies, informed by these gender-related distinctions, should be developed and implemented.

Journal of Affective DisordersVol. 364
Kunming Medical University (CN)
Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province
Gender equality
Openalex Percentile: Top 11%
Suicide and Self-Harm Studies
2.56
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