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The Clinical Utility of the Chen Internet Addiction Scale—Gaming Version, for Internet Gaming Disorder in the DSM-5 among Young Adults

Author

Listed:
  • Chih-Hung Ko

    (Department of Psychiatry, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
    Substance and Behavior Addiction Research Center, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
    Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan)

  • Sue-Huei Chen

    (Department of Psychology, National Taiwan University, Taipei 10617, Taiwan)

  • Chih-Hung Wang

    (Department of Guidance and Counseling, National Changhua University of Education, Changhua 50074, Taiwan)

  • Wen-Xiang Tsai

    (Department of Psychology, Kaohsiung Medical University, Kaohsiung City 807, Taiwan)

  • Ju-Yu Yen

    (Substance and Behavior Addiction Research Center, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
    Department of Psychiatry, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan
    Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan)

Abstract

Objectives : The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) includes the diagnostic criteria for Internet gaming disorder (IGD). This study evaluated (1) the screening, diagnostic, and prevalence-estimated cutoff points of the Chen Internet Addiction Scale–Gaming Version (CIAS-G) for IGD in the DSM-5; and (2) the differences in the CIAS-G and subscale scores among individuals with IGD, regular gamers (RGs), and other control subjects. Methods: We recruited 69 participants with IGD, 69 RGs, and 69 healthy participants based on diagnostic interviews conducted by a psychiatrist according to DSM-5 IGD criteria. All participants completed the CIAS-G and were assessed using the clinical global impression scale. Results: The optimal screening and diagnostic cutoff points were 68 or more (sensitivity, 97.1%; specificity, 76.8%) and 72 or more (sensitivity, 85.5%; specificity, 87.0%) for IGD based on DSM-5 criteria, respectively. The 76 or more cutoff point had the highest number needed to misdiagnose and was the optimal prevalence estimated cutoff point. Conclusions: The screening cutoff point could be used to identify individuals with IGD for further diagnostic interviewing to confirm the diagnosis in the clinical setting or for two-stage epidemiological evaluation. The diagnostic cutoff point provides a provisional diagnosis of IGD when diagnostic interviewing is unavailable. The prevalence-estimated cutoff point could be used to estimate the prevalence of IGD in large-scale epidemiological investigations when further diagnostic interviewing is impractical. The clinical and epidemiological utility of CIAS-G warrants further study.

Suggested Citation

  • Chih-Hung Ko & Sue-Huei Chen & Chih-Hung Wang & Wen-Xiang Tsai & Ju-Yu Yen, 2019. "The Clinical Utility of the Chen Internet Addiction Scale—Gaming Version, for Internet Gaming Disorder in the DSM-5 among Young Adults," IJERPH, MDPI, vol. 16(21), pages 1-11, October.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:21:p:4141-:d:280876
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    Cited by:

    1. Phoenix K. H. Mo & Juliet Honglei Chen & Joseph T. F. Lau & Anise M. S. Wu, 2020. "Internet-Related Addictions: From Measurements to Interventions," IJERPH, MDPI, vol. 17(7), pages 1-4, April.

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