The Gaming Problem: A Latent Class Analysis of DSM-5 Criteria For Internet Gaming Disorder In A Non-Clinical Sample

Abstract

Background: In this study we aimed to test whether suggested DSM-5 criteria for Internet Gaming Disorder (IGD) share a similar latent structure to formally recognised addiction. Methods: We used latent class analysis on a dichotomous measure of IGD. The data was collected from a convenient general population sample (500) and a targeted gaming forum sample (236). Results: We found a four or six-class model to be most appropriate, ranging from ‘ casual/non-gamer’ to ‘ potentially disordered’ with increasing symptom severity. The majority of ‘ potentially disordered’ gamers (5+ criteria) were found to be 18-30 years old, and no ‘ potentially disordered’ gamers were over 42. Conclusions: The results suggest that gaming may share a similar latent structure to established addictions, with adolescents and young adults being more at risk. Studies replicating these results would be beneficial, with further emphasis on a critical evaluation of the criteria and symptom cut-off point.

Publication DOI: https://doi.org/10.21203/rs.3.rs-1003239/v1
Divisions: College of Health & Life Sciences > School of Psychology
Funding Information: Funding for this study comes from Aston University as part of a PhD Studentship for JR. Aston University were not involved in the collection, analysis, or interpretation of data, or in writing of the manuscript for this study.
Additional Information: Copyright © 2022 Raybould J et al. This is an open access article distributed under the terms of the Creative Commons Attribution License [https://creativecommons.org/licenses/by/4.0/], which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Funding Information: Funding for this study comes from Aston University as part of a PhD Studentship for JR. Aston University were not involved in the collection, analysis, or interpretation of data, or in writing of the manuscript for this study.
Uncontrolled Keywords: Gaming,Internet Gaming Disorder,Pathological Gaming,Latent Class Analysis,Addiction,Behavioral Addiction,Biochemistry, Genetics and Molecular Biology(all),Immunology and Microbiology(all),Pharmacology, Toxicology and Pharmaceutics(all)
Publication ISSN: 2046-1402
Last Modified: 13 Jun 2024 07:38
Date Deposited: 06 Sep 2023 13:10
Full Text Link:
Related URLs: https://f1000re ... icles/11-806/v1 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-07-20
Published Online Date: 2023-07-20
Accepted Date: 2022-07-20
Submitted Date: 2021-11-22
Authors: Raybould, Jodie N.
Watling, Dylan C.
Larkin, Michael M. (ORCID Profile 0000-0003-3304-7000)
Tunney, Richard J. (ORCID Profile 0000-0003-4673-757X)

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