Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study.

Journal: Journal of nursing management
PMID: 40225596

Abstract

BACKGROUND: Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms among Chinese nurses via machine learning (ML).

Authors

  • Shu Li
    China Medical University College of Health Management, Shenyang 110122, Liaoning Province, China.
  • Kristin K Sznajder
    Pennsylvania State University College of Medicine, 500 University Drive, Hershey 17033, PA, USA.
  • Lingfang Ning
    College of Health Management, China Medical University, Shenyang, Liaoning Province, China.
  • Hong Gao
    Department of Pulmonary and Critical Care Medicine II, Emergency General Hospital, Beijing, China.
  • Xinyue Xie
    College of Health Management, China Medical University, Shenyang, Liaoning Province, China.
  • Shuo Liu
    Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
  • Chunyu Shao
    China Medical University College of Health Management, Shenyang 110122, Liaoning Province, China.
  • Xinru Li
    College of Health Management, China Medical University, Shenyang, Liaoning Province, China.
  • Xiaoshi Yang
    China Medical University College of Health Management, Shenyang 110122, Liaoning Province, China.

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