JMIR Public Health and Surveillance (Sep 2024)

Dose-Response Associations of Internet Use Time and Internet Addiction With Depressive Symptoms Among Chinese Children and Adolescents: Cross-Sectional Study

  • Juanjuan Li,
  • Weidi Sun,
  • Zeyu Luo,
  • Yi Liu,
  • Xuanyin Huang,
  • Denan Jiang,
  • Shuting Li,
  • Jia Meng,
  • Fang Gu,
  • Ronghua Zhang,
  • Peige Song

DOI
https://doi.org/10.2196/53101
Journal volume & issue
Vol. 10
pp. e53101 – e53101

Abstract

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Abstract BackgroundChildren’s lives are increasingly mediated by digital technologies, yet evidence regarding the associations between internet use and depression is far from comprehensive and remains unclear. ObjectiveThis study aimed to investigate the dose-response association between internet use, including use time and addiction behaviors, and depressive symptoms among children and adolescents in Zhejiang Province. MethodsData were collected from a school-based health survey China Common Disease and Risk Factor Surveillance Among Students, encompassing 21,336 students in Zhejiang Province. The daily internet use time, internet addiction (IA) behaviors, and depressive symptoms were assessed with questionnaires. Logistic regression models were used to explore the associations of internet use time and IA behaviors with depressive symptoms among children and adolescents. Restricted cubic spline curves were used to determine the dose-response associations. ResultsA total of 6225 (29.2%) students had depressive symptoms. Compared to those reporting no internet use, boys using the internet for >2 hours/day (odds ratio [OR] 1.53, 95% CI 1.34‐1.74) and girls using internet for 1.1‐2 hours/day (OR 1.22, 95% CI 1.06‐1.39) and >2 hours/day (OR 1.70, 95% CI 1.50‐1.93) were at higher risks of depressive symptoms. A significant J-shaped association was identified between internet use time and depressive symptoms among children and adolescents, especially in boys and primary school students (nonlinear PP ConclusionsFindings suggested that excessive internet use time and IA behaviors were significantly associated with an increased risk of depressive symptoms, highlighting the importance of interventions to regulate and educate about adequate internet use during childhood and adolescence.