OCCUPATION AND HEALTH ›› 2024, Vol. 40 ›› Issue (2): 255-260.

• Treatise • Previous Articles     Next Articles

A meta-analysis of relationship between depression and internet addiction in adolescent

SHEN Yuqing1,2,3,4, MO Lin1,2,3,4, LIU Yixuan1,2,3,4, TANG Xinyue1,2,3,4, LUO Chen5   

  1. 1. Department of Nursing, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China;
    2. Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400014, China;
    3. National Clinical Research Center for Child Health and Disorders, Chongqing, 400014, China;
    4. Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, China;
    5. School of Nursing, Shanghai Jiao Tong University, Shanghai, 200025, China
  • Received:2023-05-06 Revised:2023-05-29 Online:2024-01-15 Published:2026-03-11
  • Contact: MO Lin,Chief nurse,E-mail:molin999@126.com

Abstract: Objective To explore the relationship between depression and internet addiction in the adolescent and understand the moderating variables by meta-analysis. Methods The literature on depression and internet addiction of adolescent was retrieved on CNKI,WanFang,VIP journal resource integration platform,Embase,Web of Science and PubMed database since the inception to January 2022. The correlation coefficient r was used as the effect size,and the meta-analysis was conducted by the CMA 3.0. Results A total of 28 studies(25 934 participants) were included. The meta-analysis showed that depression and internet addiction in the adolescent were positively correlated(r=0.375,95%CI:0.314-0.433,P<0.01). The subgroup analysis showed that the relationship between depression and internet addiction in the adolescent was affected by the source of the domestic sample and education level(Q=0.144,9.364,P<0.05). Conclusion The adolescent's depression and internet addiction are moderately correlated,and the relationship is affected by the source of the domestic sample and education level.

Key words: Meta-analysis, Adolescent, Depression, Internet addiction, Correlation

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