The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria
Open accessAbstract
INTRODUCTION The inclusion of Internet Gaming Disorder (IGD) in the DSM-5 (Section 3) has given rise to much scholarly debate regarding the proposed criteria and their operationalization. The present study's aim was threefold: to (i) develop and validate a brief psychometric instrument (Ten-Item Internet Gaming Disorder Test; IGDT-10) to assess IGD using definitions suggested in DSM-5, (ii) contribute to ongoing debate regards the usefulness and validity of each of the nine IGD criteria (using Item Response Theory [IRT]), and (iii) investigate the cut-off threshold suggested in the DSM-5. METHODS An online gamer sample of 4887 gamers (age range 14-64years, mean age 22.2years [SD=6.4], 92.5% male) was collected through Facebook and a gaming-related website with the cooperation of a popular Hungarian gaming magazine. A shopping voucher of approx. 300 Euros was drawn between participants to boost participation (i.e., lottery incentive). Confirmatory factor analysis and a structural regression model were used to test the psychometric properties of the IGDT-10 and IRT analysis was conducted to test the measurement performance of the nine IGD criteria. Finally, Latent Class Analysis along with sensitivity and specificity analysis were used to investigate the cut-off threshold proposed in the DSM-5. RESULTS Analysis supported IGDT-10's validity, reliability, and suitability to be used in future research. Findings of the IRT analysis suggest IGD is manifested through a different set of symptoms depending on the level of severity of the disorder. More specifically, "continuation", "preoccupation", "negative consequences" and "escape" were associated with lower severity of IGD, while "tolerance", "loss of control", "giving up other activities" and "deception" criteria were associated with more severe levels. "Preoccupation" and "escape" provided very little information to the estimation IGD severity. Finally, the DSM-5 suggested threshold appeared to be supported by our statistical analyses. CONCLUSIONS IGDT-10 is a valid and reliable instrument to assess IGD as proposed in the DSM-5. Apparently the nine criteria do not explain IGD in the same way, suggesting that additional studies are needed to assess the characteristics and intricacies of each criterion and how they account to explain IGD.
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. (2013) · Encyclopedia of Social Work · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,519
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Collins, L. M., & Lanza, S. T. (2009) · Wiley Series in Probability and Statistics · doi:10.1002/9780470567333 · Cited by 1,545
Measuring DSM-5 Internet gaming disorder: Development and validation of a short psychometric scale
Pontes, H. M., & Griffiths, M. D. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.006 · Cited by 1,151
Self-citationAre we overpathologizing everyday life? A tenable blueprint for behavioral addiction research
Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.009 · Cited by 920
An international consensus for assessing internet gaming disorder using the new DSM ‐5 approach
Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H., Mößle, T., Bischof, G., Tao, R., Fung, D. S. S., Borges, G., et al. (2014) · Addiction · doi:10.1111/add.12457 · Cited by 919 · cited 1×
“…cut-off threshold for IGD (i.e., endorsing five or more criteria out of the nine) in the DSM-5 as it was conservatively chosen by the APA, because low thresholds might inflate diagnoses and result in classifying individuals who have not suffered significant clinical impairment (Petry et al., 2014).”
BackgroundDerogatis, L. R. (2011) · PsycTESTS Dataset · doi:10.1037/t00789-000 · Cited by 852
Latent Class and Latent Transition Analysis
Lanza, S. T., Flaherty, B. P., & Collins, L. M. (2003) · Handbook of Psychology · doi:10.1002/0471264385.wei0226 · Cited by 752
The Internet Gaming Disorder Scale.
Lemmens, J. S., Valkenburg, P. M., & Gentile, D. A. (2015) · Psychological Assessment · doi:10.1037/pas0000062 · Cited by 704
Rehbein, F., Kliem, S., Baier, D., Mößle, T., & Petry, N. M. (2015) · Addiction · doi:10.1111/add.12849 · Cited by 561
Cited by
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Manifesto for a European research network into Problematic Usage of the Internet
Fineberg, N., Demetrovics, Z., Stein, D., Ioannidis, K., Potenza, M., Grünblatt, E., Brand, M., Billieux, J., Carmi, L., King, D., et al. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.08.004 · Cited by 334
“National health authorities are expressing concern ( Byrne et al., 2016; Parliament (UK), 2017 ) and there is a growing interest by some governments in implementing policies aimed at curbing PUI ( Kiraly et al., 2017a ).”
BackgroundSelf-citationKuss, D. J., Griffiths, M. D., & Pontes, H. M. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.062 · Cited by 339
Self-citationWartberg, L., Kriston, L., Zieglmeier, M., Lincoln, T., & Kammerl, R. (2019) · Psychological Medicine · doi:10.1017/s003329171800082x · Cited by 270
Domoff, S. E., Harrison, K., Gearhardt, A. N., Gentile, D. A., Lumeng, J. C., & Miller, A. L. (2019) · Psychology of Popular Media Culture · doi:10.1037/ppm0000163 · Cited by 264
Metadata
- Authors
- Király, O., Sleczka, P., Pontes, H. M., Urbán, R., Griffiths, M. D., & Demetrovics, Z.
- Venue
- Addictive Behaviors
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 64
- Pages
- 253-260
- ISSN
- 0306-4603 (ISSN-L)
- OpenAlex
- W2177319014
- Cited by
- 423
- References
- 34
- FWCI
- 55.37
- Type
- journal article
- Language
- en
- Open access
- green
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