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Meta-Analysis of Internet Gaming Disorder Prevalence: Assessing the Impacts of DSM-5 and ICD-11 Diagnostic Criteria

Author

Listed:
  • Ruoyu Zhou

    (Doctoral Program in Human Care Science, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba 305-8577, Japan)

  • Nobuaki Morita

    (Department of Social Psychiatry and Mental Health, School of Medicine and Medical Sciences, University of Tsukuba, Tsukuba 305-8577, Japan)

  • Yasukazu Ogai

    (Department of Social Psychiatry and Mental Health, School of Medicine and Medical Sciences, University of Tsukuba, Tsukuba 305-8577, Japan)

  • Tamaki Saito

    (Department of Social Psychiatry and Mental Health, School of Medicine and Medical Sciences, University of Tsukuba, Tsukuba 305-8577, Japan)

  • Xinyue Zhang

    (Public Health Degree Program, Faculty of Comprehensive Human Sciences, University of Tsukuba, Tsukuba 305-8577, Japan)

  • Wenjie Yang

    (The Mental Health Center, Yunnan University, Kunming 650091, China)

  • Fan Yang

    (Graduate School of Letters, Arts and Sciences, Waseda University, Tokyo 162-8644, Japan)

Abstract

With the inclusion of Internet gaming disorder (IGD) in both the DSM-5 and ICD-11, understanding the prevalence and diagnostic discrepancies is crucial for developing appropriate interventions. This study presents a meta-analysis of the prevalence of IGD based on two diagnostic criteria. We systematically searched the PubMed and Web of Science databases. A total of 22 studies were included in the final analysis. The analysis incorporated studies employing the DSM-5 and ICD-11 criteria and focused on the impact of various factors, including study location, sample characteristics, sample size, and quality score, on the reported prevalence rates using a random-effects model. The pooled prevalence of IGD is 6.7% (95% CI: 5.7–7.7%). The subgroup analysis indicated significant differences in the prevalence rates of IGD (DSM-5 criteria) and GD (ICD-11 criteria) (Q b = 38.46, p < 0.01). There were also significant differences in IGD prevalence rates between different scales (Q b = 54.23, p < 0.001). Our findings indicate that different diagnostic criteria and different assessment scales have a significant impact on the prevalence of IGD. This underscores the importance of adopting standardized methodologies to guide public health interventions. However, given the limited research based on ICD-11 diagnostic criteria, further investigation is necessary to determine the variations in prevalence rates of IGD under different diagnostic standards.

Suggested Citation

  • Ruoyu Zhou & Nobuaki Morita & Yasukazu Ogai & Tamaki Saito & Xinyue Zhang & Wenjie Yang & Fan Yang, 2024. "Meta-Analysis of Internet Gaming Disorder Prevalence: Assessing the Impacts of DSM-5 and ICD-11 Diagnostic Criteria," IJERPH, MDPI, vol. 21(6), pages 1-15, May.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:6:p:700-:d:1404967
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