Algorithmic and sensor-based research on Chinese children's and adolescents' screen use behavior and light environment.

Journal: Frontiers in public health
PMID: 38454995

Abstract

BACKGROUND: Myopia poses a global health concern and is influenced by both genetic and environmental factors. The incidence of myopia tends to increase during infectious outbreaks, such as the COVID-19 pandemic. This study examined the screen-time behaviors among Chinese children and adolescents and investigated the efficacy of artificial intelligence (AI)-based alerts in modifying screen-time practices.

Authors

  • Jifang Wang
    Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Yang Shen
    Departments of Electrical and Computer Engineering & Computer Science and Engineering Texas A&M University, College Station, TX 77840.
  • Jing Zhao
    Department of Pharmacy, Pharmacoepidemiology and Drug Safety Research Group, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
  • XiaoYing Wang
  • Zhi Chen
    Duke University.
  • Tian Han
    Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095, U.S.A. hantian@ucla.edu.
  • Yangyi Huang
    Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Yuliang Wang
    School of Mechanical Engineering & Automation, Beihang University, Beijing, China.
  • Wuxiao Zhao
    Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Wen Wen
    School of Computer Science, Guangdong University of Technology, China. Electronic address: wwen@gdut.edu.cn.
  • Xingtao Zhou
    Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
  • Ye Xu
    Reproductive Medical Center, The General Hospital of Beijing Military Region Beijing 100700, China.

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