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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers in Human B...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers in Human Behavior
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
HAL AMU
Article . 2017
Data sources: HAL AMU
DBLP
Article . 2020
Data sources: DBLP
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Internet gaming disorder, motives, game genres and psychopathology

Authors: Laconi, Stéphanie; Pirès, Sophie; Chabrol, Henri;

Internet gaming disorder, motives, game genres and psychopathology

Abstract

Since Internet gaming disorder recently appeared in the section III of the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5), little investigation has been performed. Besides, more data on Internet gaming behaviors is needed in French samples. Therefore, the main purpose of this study was to assess the prevalence of Internet gaming disorder in a sample of French young Internet users and to explore the relationships between Internet gaming disorder, time spent on the Internet, gaming time and motives, game genre, and psychopathology. Our sample consisted of 418 online gamers recruited online, aged from 18 to 30 years (M=22; SD=3) and constituted of 206 women (49%) and 212 men. They completed several scales assessing characteristics of Internet use and gaming behaviors as well as depression and self-esteem. The prevalence of Internet gaming disorder was nearly 2% (n=8). Hierarchical regression analysis revealed that time spent on the Internet, gaming motives and depressive symptoms were significant predictors of Internet gaming disorder scores, with differences according to gender. Problematic gamers had higher mean scores of social, escape, coping and fantasy motives and psychopathology than non-problematic gamers. This study highlights the relationships between Internet gaming disorder, motives, game genres and psychopathological variables, as differences between gamers with and without Internet gaming disorder. Motives such escape appears as a highly important factor, highlighting why internet gaming disorder could be considered as a dysfunctional coping strategy. In our sample, the prevalence of Internet gaming disorder (IGD) was nearly 2%.IGD was predicted by several variables with gender differences.Game genre also had a different influence on IGD scores among men and women.Problematic gamers had higher scores of psychopathology than non-problematic gamers.Problematic gamers had higher scores of social, escape, coping and fantasy motives.

Country
France
Keywords

Internet gaming disorder, Motives, Psychopathology, Gender, Psychopathology, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, 150, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, Gender, Internet gaming disorder, Motives, [SCCO.PSYC]Cognitive science/Psychology, [SCCO.PSYC] Cognitive science/Psychology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
226
Top 1%
Top 10%
Top 1%
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