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

Journal: Journal of affective disorders
PMID: 39147147

Abstract

BACKGROUND: Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors. The incidence of SI among high (junior and senior) school students is significantly higher than that of other age groups. The aim of this study is to explore the gender differences in SI among high school students in Yunnan Province.

Authors

  • Ruiyu Li
    School of Public Health, Kunming Medical University, Kunming, Yunnan 650500, China.
  • Rui Deng
    FL 8, Ocean International Center E, Chaoyang Rd Side Rd, ShiLiPu, Chaoyang Qu, 100000 Beijing Shi, China.
  • Ting Song
  • Yan Xiao
    NHC Key Laboratory of Systems Biology of Pathogens and Christophe Merieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, P. R. China.
  • Qi Wang
    Biotherapeutics Discovery Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
  • Zhijie Fang
    State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China.
  • Yuan Huang
    School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China.
  • Feng Jiao
    School of Public Health, Kunming Medical University, Kunming, Yunnan 650500, China. Electronic address: jiaofeng1976@vip.sina.com.
  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.

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