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

Jodie N. Raybould; Dylan C. Watling; Michael M. Larkin; Richard J. Tunney

doi:10.21203/rs.3.rs-1003239/v1

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

Jodie N. Raybould, Dylan C. Watling, Michael M. Larkin, Richard J. Tunney

School of Psychology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	806
Number of pages	16
Journal	F1000Research
Volume	11
Early online date	20 Jul 2023
DOIs	https://doi.org/10.21203/rs.3.rs-1003239/v1 https://doi.org/10.12688/f1000research.123390.1
Publication status	E-pub ahead of print - 20 Jul 2023

Bibliographical note

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.

Keywords

Gaming
Internet Gaming Disorder
Pathological Gaming
Latent Class Analysis
Addiction
Behavioral Addiction

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Radbould et al_the gaming problem_latent class analysis DSM5 criteria for Internet Gaming Disorder
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.
Final published version, 669 KBLicence: CC BY 4.0

Cite this

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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 {\textquoteleft} casual/non-gamer{\textquoteright} to {\textquoteleft} potentially disordered{\textquoteright} with increasing symptom severity. The majority of {\textquoteleft} potentially disordered{\textquoteright} gamers (5+ criteria) were found to be 18-30 years old, and no {\textquoteleft} potentially disordered{\textquoteright} 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.",

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

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