Psychopathological Symptoms and Gaming Motives in Disordered Gaming-A Psychometric Comparison between the WHO and APA Diagnostic Frameworks.

American psychiatric association gaming disorder internet gaming disorder world health organization

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
15 Oct 2019
Historique:
received: 05 09 2019
revised: 08 10 2019
accepted: 10 10 2019
entrez: 18 10 2019
pubmed: 18 10 2019
medline: 18 10 2019
Statut: epublish

Résumé

'Gaming Disorder' (GD) has received increased medical attention and official recognition from both the American Psychiatric Association (APA) and the World Health Organization (WHO). Although these two medical organizations have independently developed promising clinical diagnostic frameworks to assess disordered gaming, little is known about how these frameworks compare at different psychometric levels in terms of producing consistent outcomes in the assessment of GD. A sample of 1429 German gamers (Mean The findings suggest the existence of minor discrepancies in the estimation of prevalence rates of GD according among the two frameworks. Nevertheless, both diagnostic frameworks are fairly consistent in the psychometric prediction of GD in relation to gaming motives and psychopathological symptoms. The findings underscore the role of key gaming motives as risk factors and protective factors across both diagnostic frameworks. Finally, the study provides support for the WHO diagnostic framework for GD and its measurement with the German Gaming Disorder Test (GDT). The findings and their implications are further discussed in terms of clinical relevance.

Sections du résumé

BACKGROUND BACKGROUND
'Gaming Disorder' (GD) has received increased medical attention and official recognition from both the American Psychiatric Association (APA) and the World Health Organization (WHO). Although these two medical organizations have independently developed promising clinical diagnostic frameworks to assess disordered gaming, little is known about how these frameworks compare at different psychometric levels in terms of producing consistent outcomes in the assessment of GD.
METHODS METHODS
A sample of 1429 German gamers (Mean
RESULTS RESULTS
The findings suggest the existence of minor discrepancies in the estimation of prevalence rates of GD according among the two frameworks. Nevertheless, both diagnostic frameworks are fairly consistent in the psychometric prediction of GD in relation to gaming motives and psychopathological symptoms. The findings underscore the role of key gaming motives as risk factors and protective factors across both diagnostic frameworks. Finally, the study provides support for the WHO diagnostic framework for GD and its measurement with the German Gaming Disorder Test (GDT). The findings and their implications are further discussed in terms of clinical relevance.

Identifiants

pubmed: 31618950
pii: jcm8101691
doi: 10.3390/jcm8101691
pmc: PMC6832511
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : German Research Foundation
ID : DFG, MO2363/3-2

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Auteurs

Christian Montag (C)

Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany. christian.montag@uni-ulm.de.

Bruno Schivinski (B)

School of Media and Communication, RMIT University, VIC 3000 Melbourne, Australia. bruno.schivinski@gmail.com.
The International Cyberpsychology and Addictions Research Laboratory (iCARL), University of Tasmania, TAS 7005 Launceston, Australia. bruno.schivinski@gmail.com.

Rayna Sariyska (R)

Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany. rayna.sariyska@uni-ulm.de.

Christopher Kannen (C)

Independent Researcher: 50226 Frechen, Germany. info@ckannen.com.

Zsolt Demetrovics (Z)

Institute of Psychology, ELTE Eötvös Loránd University, 1064 Budapest, Hungary. demetrovics.zsolt@ppk.elte.hu.

Halley M Pontes (HM)

The International Cyberpsychology and Addictions Research Laboratory (iCARL), University of Tasmania, TAS 7005 Launceston, Australia. contactme@halleypontes.com.
Division of Psychology, School of Medicine, University of Tasmania, TAS 7005 Launceston, Australia. contactme@halleypontes.com.

Classifications MeSH