Machine learning identifies prominent risk factors for depressive symptoms among Chinese children and adolescents.

Journal: Journal of affective disorders
Published Date: Jun 14, 2025

Abstract

BACKGROUND: Identifying key risk factors for depressive symptoms in children and adolescents is crucial for prevention. However, few studies have explored this topic. This study aimed to examine the prevalence of depressive symptoms in Chinese children and adolescents and rank prominent risk factors.

Authors

  • Tingting Lei
  • Huiling Qiu
    School of Public Health, Sun Yat-Sen University, Guangzhou, China.
  • Xueer Liu
    Department of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Xuemei Li
    School of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Yuqian He
    Department of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Yajie Huang
    Department of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Boyi Yang
    Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Xinyu Zhou
    School of Economics and Management, Harbin Engineering University, Harbin, 150001, Heilongjiang, People's Republic of China. zhouxinyu0824@foxmail.com.

Keywords

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