{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T17:42:16Z","timestamp":1792172536741,"version":"4.4.0"},"reference-count":36,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T00:00:00Z","timestamp":1708560000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The median daily screen time of all participants was 58.82\u2009min. Among all age groups, elementary-school students had the longest median daily screen time, which was 87.25\u2009min and exceeded 4\u2009h per week. Children younger than 2\u2009years engaged with tablets for a median of 41.84\u2009min per day. Learning accounted for 54.88% of participants\u2019 screen time, and 51.03% (3,390\/6,643) of the participants used tablets for 1\u2009h at an average distance &amp;lt;50\u2009cm. The distance and posture alarms were triggered 807,355 and 509,199 times, respectively. In the study, 70.65% of the participants used the tablet under an illuminance of &amp;lt;300 lux during the day and 61.11% under an illuminance of &amp;lt;100 lux at night. The ambient light of 85.19% of the participants exceeded 4,000\u2009K color temperature during night. Most incorrect viewing habits (65.49% in viewing distance; 86.48% in viewing posture) were rectified swiftly following AI notifications (all\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&amp;lt;\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Young children are increasingly using digital screens, with school-age children and adolescents showing longer screen time than preschoolers. The study highlighted inadequate lighting conditions during screen use. AI alerts proved effective in prompting users to correct their screen-related behavior promptly.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2024.1352759","type":"journal-article","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T00:20:11Z","timestamp":1708561211000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Algorithmic and sensor-based research on Chinese children\u2019s and adolescents\u2019 screen use behavior and light 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