Risk factors for depression in China based on machine learning algorithms: A cross-sectional survey of 264,557 non-manual workers.

Journal: Journal of affective disorders
PMID:

Abstract

BACKGROUND: Factors related to depression differ depending on the population studied, and studies focusing on the population of non-manual workers are lacking. Thus, we aimed to identify the risk factors related to depression in non-manual workers in China.

Authors

  • Hui Li
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Yinglong Duan
    Nursing department, the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
  • Sha Wang
    Qilu Hospital of Shandong University, Department of Nephrology, Jinan, Shandong, China.
  • Min Liu
    Department of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
  • Yating Luo
    Nursing department, the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
  • Jiangang Wang
    Health Management Center, Third Xiangya Hospital, Central South University, Changsha 410013, China. 600410@csu.edu.cn.
  • Zhiheng Chen
    School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China. Electronic address: czh96@buaa.edu.cn.
  • Pinting Yang
    Health Management Medicine Center, the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
  • Jianfei Xie
    School of Computing and Engineering, University of Derby, Derby DE22 3AW, UK.