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

Authors :
Jifang Wang
Yang Shen
Jing Zhao
Xiaoying Wang
Zhi Chen
Tian Han
Yangyi Huang
Yuliang Wang
Wuxiao Zhao
Wen Wen
Xingtao Zhou
Ye Xu
Source :
Frontiers in Public Health, Vol 12 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

BackgroundMyopia 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.MethodsA cross-sectional analysis was performed using data from 6,716 children and adolescents with AI-enhanced tablets that monitored and recorded their behavior and environmental light during screen time.ResultsThe median daily screen time of all participants was 58.82 min. Among all age groups, elementary-school students had the longest median daily screen time, which was 87.25 min and exceeded 4 h per week. Children younger than 2 years engaged with tablets for a median of 41.84 min per day. Learning accounted for 54.88% of participants’ screen time, and 51.03% (3,390/6,643) of the participants used tablets for 1 h at an average distance

Details

Language :
English
ISSN :
22962565
Volume :
12
Database :
Directory of Open Access Journals
Journal :
Frontiers in Public Health
Publication Type :
Academic Journal
Accession number :
edsdoj.1603fd0d18dd4a33be5d7c5e7756f1eb
Document Type :
article
Full Text :
https://doi.org/10.3389/fpubh.2024.1352759