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BMC Psychiatry

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Open Access 01-12-2021 | Research article

In search of the optimum structural model for Internet Gaming Disorder

Authors: Vasileios Stavropoulos, Rapson Gomez, Mark D. Griffiths

Published in: BMC Psychiatry | Issue 1/2021

Abstract

Background

Internet gaming Disorder (IGD) constitutes a recently proposed clinical disorder (American Psychiatric Association, Diagnostic and statistical manual of mental disorders, 2013). The present study examined if IGD is best conceptualized as categorical (present/absent), or dimensional (severity ranging from low to high), or both (i.e., hybrid of categorical/dimensional).

Methods

Ratings of the nine DSM-5 IGD symptoms, as presented in the Internet Gaming Disorder Scale 9-Short Form (Pontes & Griffiths, Comput Hum Behav 45:137-143, 2015), from 738 gamers, aged 17 to 72 years, were collected. Confirmatory factor analysis (CFA), latent class analysis (LCA), and factor mixture modelling analysis (FMMA) procedures were applied to determine the optimum IGD model.

Results

Although the findings showed most support for a FFMA model with two classes and one factor, there was also good statistical and substantive support for the one-factor CFA model, and the LCA model with three classes.

Conclusion

It was concluded that while the optimum structure of IGD is most likely to be a hybrid model (i.e., concurrently categorical and dimensional), a uni-dimensional model and/or a three-class categorical model are also plausible.

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Title: In search of the optimum structural model for Internet Gaming Disorder
Authors: Vasileios Stavropoulos
Rapson Gomez
Mark D. Griffiths
Publication date: 01-12-2021
Publisher: BioMed Central
Published in: BMC Psychiatry / Issue 1/2021
Electronic ISSN: 1471-244X
DOI: https://doi.org/10.1186/s12888-021-03148-8

Keynote webinar | Spotlight on medication adherence

Springer Medicine

In search of the optimum structural model for Internet Gaming Disorder

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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