Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model.

Journal: BMC public health
PMID: 39984887

Abstract

BACKGROUND: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation of strict lockdown management measures in colleges. While existing research has indicated that the pandemic has had a significant impact on sleep quality, the specific effects of containment measures on college students' sleep patterns remain understudied.

Authors

  • Lufeng Chen
    The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, 362000, China. chenlufenga@163.com.
  • Qingquan Chen
    The School of Public Health, Fujian Medical University, Fuzhou, 350108, Fujian, China.
  • Zhimin Huang
    The School of Public Health, Fujian Medical University, Fuzhou, Fujian Province, 350108, China.
  • Ling Yao
    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. yaoling@lreis.ac.cn.
  • Jiajing Zhuang
    The School of Clinical Medicine, Fujian Medical University, Fuzhou, 350108, Fujian, China.
  • Haibin Lu
    The School of Public Health, Fujian Medical University, Fuzhou, Fujian Province, 350108, China.
  • Yifu Zeng
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, 510030, Guangdong, China.
  • Jimin Fan
    The Sleep Disorder Medicine Center of the Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
  • Ailing Song
    Department of Respiratory Medicine, Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University, Wuxi, Jiangsu, 214140, China.
  • Yixiang Zhang
    Weifang Medical University, Weifang, China.

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