Abstract

The study used regularized partial correlation network analysis (EBICglasso) to examine the structure of DSM-5 internet gaming disorder (IGD) symptoms (network 1); and the associations of the IGD symptoms in the network with different types of motivation as defined in the self-determination theory i.e., intrinsic motivation (engaging in an activity for something unrelated to the activity), identified regulation (engaging in the activity because it aligns with one’s values and/or goals), external regulation (engagement in activity being driven by external rewards and/or approval), and amotivation (engaging in an activity without often understanding why) (network 2). Participants were 968 adults from the general community. They completed self-rating questionnaires covering IGD symptoms and different types of motivation. The findings for network 1 showed mostly positive connections between the symptoms within the IGD network. The most central symptom was loss of control, followed by continuation, withdrawal symptoms, and tolerance. In general, these symptoms were more strongly connected with each other than with the rest of the IGD symptoms. The findings for network 2 showed that the different types of motivation were connected differently with the different IGD symptoms. For instance, the likeliest motivation for the preoccupation and escape symptoms is intrinsic motivation, and for negative consequences, it is low identified regulation. Overall, the findings showed a novel understanding of the structure of the IGD symptoms, and the motivations underlying them. The clinical implications of the findings for assessment and treatment of IGD are discussed.

Highlights

  • The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5 American Psychiatric Association [APA], 2013 [1]) has included Internet Gaming Disorder (IGD) as a tentative disorder requiring further examination to be fully recognized as a bona fide diagnosis

  • Gomez et al BMC Psychiatry (2022) 22:76 component model of addictions. This is important as ICD-11 (WHO, 2019 [2]) conceptualized GD based on a number of only four criteria

  • As the correlation stability coefficient was not available for expected influence with Jeffreys’ Amazing Statistics Program (JASP) (Team JASp, 2018 [52]), the software used in the current study to compute network analysis, we focused on the accuracy of the other centrality indices

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Summary

Introduction

The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5 American Psychiatric Association [APA], 2013 [1]) has included Internet Gaming Disorder (IGD) as a tentative disorder requiring further examination to be fully recognized as a bona fide diagnosis. In the light of the prospective DSM-5 revision and the potential inclusion of IGD as a formal diagnosis, the specific associations between the nine IGD criteria and their relevance for IGD need to be investigated. This is imperative if their number of IGD symptoms is to be reduced without compromising the conceptualization and structure of this disorder.

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