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Screening and assessment tools for gaming disorder: A comprehensive systematic review

Daniel L. King*, Samuel R. Chamberlain, Natacha Carragher, Joel Billieux, Dan Stein, Kai Mueller, Marc N. Potenza, Hans Juergen Rumpf, John Saunders, Vladan Starcevic, Zsolt Demetrovics, Matthias Brand, Hae Kook Lee, Marcantonio Spada, Katajun Lindenberg, Anise M.S. Wu, Tagrid Lemenager, Ståle Pallesen, Sophia Achab, Mike KyriosSusumu Higuchi, Naomi A. Fineberg, Paul H. Delfabbro

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

The inclusion of gaming disorder (GD) as an official diagnosis in the ICD-11 was a significant milestone for the field. However, the optimal measurement approaches for GD are currently unclear. This comprehensive systematic review aimed to identify and evaluate all available English-language GD tools and their corresponding evidence. A search of PsychINFO, PsychArticles, ScienceDirect, Scopus, Web of Science, and Google Scholar identified 32 tools employed in 320 studies (N = 462,249 participants). The evaluation framework examined tools in relation to: (1) conceptual and practical considerations; (2) alignment with DSM-5 and ICD-11 criteria; (3) type and quantity of studies and samples; and (4) psychometric properties. The evaluation showed that GD instrumentation has proliferated, with 2.5 tools, on average, published annually since 2013. Coverage of DSM-5 and ICD-11 criteria was inconsistent, especially for the criterion of continued use despite harm. Tools converge on the importance of screening for impaired control over gaming and functional impairment. Overall, no single tool was found to be clearly superior, but the AICA-Sgaming, GAS-7, IGDT-10, IGDS9-SF, and Lemmens IGD-9 scales had greater evidential support for their psychometric properties. The GD field would benefit from a standard international tool to identify gaming-related harms across the spectrum of maladaptive gaming behaviors.

OriginalspracheEnglisch
Aufsatznummer101831
ZeitschriftClinical Psychology Review
Jahrgang77
ISSN0272-7358
DOIs
PublikationsstatusVeröffentlicht - 04.2020

Fördermittel

This work received financial support from a Discovery Early Career Researcher Award (DECRA) DE170101198 funded by the Australian Research Council (ARC) . We thank the COST Action CA16207 “European Network for Problematic Usage of the Internet”, supported by COST ( European Cooperation in Science and Technology : www.cost.eu).

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 10 – Weniger Ungleichheiten
    SDG 10 – Weniger Ungleichheiten

Strategische Forschungsbereiche und Zentren

  • Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)

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