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

Autor: Jifang Wang, Yang Shen, Jing Zhao, Xiaoying Wang, Zhi Chen, Tian Han, Yangyi Huang, Yuliang Wang, Wuxiao Zhao, Wen Wen, Xingtao Zhou, Ye Xu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Public Health, Vol 12 (2024)
Druh dokumentu: article
ISSN: 2296-2565
DOI: 10.3389/fpubh.2024.1352759
Popis: 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
Databáze: Directory of Open Access Journals