Pontes, Halley and Schivinski, Bruno and Brzozowska-Woś, M. and Griffiths, M.D. (2018) An empirical analysis of the nine Internet Gaming Disorder criteria. Journal of Behavioral Addictions 7 (1), p. 130. ISSN 2063-5303.
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Pontes et al. - 2018 - An empirical analysis of the nine Internet Gaming Disorder criteria.pdf - Published Version of Record Download (847kB) | Preview |
Abstract
Internet Gaming Disorder (IGD) has received increased scientific attention since May 2013, and its assessment can be conducted using the nine criteria suggested by American Psychiatric Association (APA). This study examined the role of each IGD criterion using a conditional inference tree model. Methods: A total of 3,377 gamers (82.7% male, mean age 20 years, SD = 4.3 years) were recruited to the present study. In addition to collecting sociodemographic information, participants filled out the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) based on the DSM-5 criteria. Results: The conditional inference tree model revealed that endorsement of ‘withdrawal’ (criterion 2) and ‘loss of control’ (criterion 4) increased the likelihood of IGD by 77.77% (95%CI: 62.09–93.45) while endorsing ‘withdrawal’, ‘loss of control’ and ‘negative consequences’ (criterion 9) increased the likelihood of IGD by 26.66% (95%CI: 4.28–49.04). Finally, not endorsing ‘withdrawal’ but endorsing ‘preoccupation’ (criterion 1) increased the probability of IGD by 7.14% (95%CI: 1.63–12.65). Conclusions: Overall, these results suggest that not all IGD criteria carry the same diagnostic weight as each criterion can play a different role in the development of IGD. It is envisaged that these findings will help improve the assessment of IGD in the future.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | addiction, gaming disorder, IGD, survey analysis |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
| Depositing User: | Bruno Schivinski |
| Date Deposited: | 02 May 2018 12:05 |
| Last Modified: | 07 Aug 2023 16:12 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/22310 |
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