Relationship matters: Using machine learning methods to predict the mental health severity of Chinese college freshmen during the pandemic period.

Journal: Journal of affective disorders
PMID: 39341295

Abstract

BACKGROUND: Pandemics act as stressors and may lead to frequent mental health disorders. College student, especially freshmen, are particularly susceptible to experiencing intense mental stress reactions during a pandemic. We aimed to identify stable and intervenable variables including academic, relationship and economic factors, and focused on their impact on mental health severity during the pandemic period.

Authors

  • Wenhao Kong
    School of Public Policy and Management, Tsinghua University, Wu Shunde Building, Beijing, China.
  • Zeyuan Pei
    Vanke School of Public Health, Tsinghua University, Mingli Building, Beijing, China. Electronic address: pzy22@mails.tsinghua.edu.cn.
  • Ziyan Guo
    Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK.
  • Ran Xu
    Department of Allied Health Sciences, University of Connecticut, 358 Mansfield Rd, Storrs, CT 06269, USA.
  • Jialu Zhao
    Department of Medical Education, Ruijin Hospital Affifiliated to Shanghai Jiao Tong University School of Medicine, 197 Ruijin Rd. II, Shanghai, 200025, China.

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