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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Excessive Computer Game Playing: Evidence for Addiction and Aggression?

Grüsser, S.M., Thalemann, R., Griffiths, M.D.·2007·CyberPsychology & Behavior

Abstract

Computer games have become an ever-increasing part of many adolescents' day-to-day lives. Coupled with this phenomenon, reports of excessive gaming (computer game playing) denominated as "computer/video game addiction" have been discussed in the popular press as well as in recent scientific research. The aim of the present study was the investigation of the addictive potential of gaming as well as the relationship between excessive gaming and aggressive attitudes and behavior. A sample comprising of 7069 gamers answered two questionnaires online. Data revealed that 11.9% of participants (840 gamers) fulfilled diagnostic criteria of addiction concerning their gaming behavior, while there is only weak evidence for the assumption that aggressive behavior is interrelated with excessive gaming in general. Results of this study contribute to the assumption that also playing games without monetary reward meets criteria of addiction. Hence, an addictive potential of gaming should be taken into consideration regarding prevention and intervention.

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Metadata

Authors
Grüsser, S. M., Thalemann, R., & Griffiths, M. D.
Venue
CyberPsychology & Behavior
Published
2007-04
Volume
10
Issue
2
Pages
290-292
ISSN
  • 1094-9313 (ISSN-L)
  • 1557-8364
OpenAlex
W2021740767
Cited by
615
References
5
FWCI
94.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Excessive Computer Game Playing: Evidence for Addiction and Aggression? https://app.cochat.ai/papers/10.1089/cpb.2006.9956
The paper
Grüsser, S. M., Thalemann, R., & Griffiths, M. D. (2007). Excessive Computer Game Playing: Evidence for Addiction and Aggression? CyberPsychology & Behavior. https://doi.org/10.1089/cpb.2006.9956

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.