The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: the development of the IGD-20 Test

Halley M Pontes, Orsolya Király, Zsolt Demetrovics, Mark D Griffiths, Halley M Pontes, Orsolya Király, Zsolt Demetrovics, Mark D Griffiths

Abstract

Background: Over the last decade, there has been growing concern about 'gaming addiction' and its widely documented detrimental impacts on a minority of individuals that play excessively. The latest (fifth) edition of the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders (DSM-5) included nine criteria for the potential diagnosis of Internet Gaming Disorder (IGD) and noted that it was a condition that warranted further empirical study.

Aim: The main aim of this study was to develop a valid and reliable standardised psychometrically robust tool in addition to providing empirically supported cut-off points.

Methods: A sample of 1003 gamers (85.2% males; mean age 26 years) from 57 different countries were recruited via online gaming forums. Validity was assessed by confirmatory factor analysis (CFA), criterion-related validity, and concurrent validity. Latent profile analysis was also carried to distinguish disordered gamers from non-disordered gamers. Sensitivity and specificity analyses were performed to determine an empirical cut-off for the test.

Results: The CFA confirmed the viability of IGD-20 Test with a six-factor structure (salience, mood modification, tolerance, withdrawal, conflict and relapse) for the assessment of IGD according to the nine criteria from DSM-5. The IGD-20 Test proved to be valid and reliable. According to the latent profile analysis, 5.3% of the total participants were classed as disordered gamers. Additionally, an optimal empirical cut-off of 71 points (out of 100) seemed to be adequate according to the sensitivity and specificity analyses carried.

Conclusions: The present findings support the viability of the IGD-20 Test as an adequate standardised psychometrically robust tool for assessing internet gaming disorder. Consequently, the new instrument represents the first step towards unification and consensus in the field of gaming studies.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. The Five Classes Obtained from…
Figure 1. The Five Classes Obtained from the Latent Profile Analysis.

References

    1. American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: Author.
    1. Petry NM, Rehbein F, Gentile DA, Lemmens JS, Rumpf H, et al... (2014) An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction.
    1. Griffiths MD, King D, Demetrovics Z (2014) DSM-5 internet gaming disorder needs a unified approach to assessment. Neuropsychiatry 4: 1–4.
    1. Petry NM, O'Brien CP (2013) Internet gaming disorder and the DSM-5. Addiction.
    1. King D, Haagsma MC, Delfabbro P, Gradisar M, Griffiths MD (2013) Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clin Psychol Rev 33: 331–342.
    1. Griffiths MD, Kuss DJ, Daniel K (2012) Video game addiction: Past, present and future. Curr Psychiatry Rev 8: 308–318.
    1. Kuss DJ, Griffiths MD (2012) Internet gaming addiction: A systematic review of empirical research. Int J Ment Health Addict 10: 278–296.
    1. Griffiths MD (1993) Are computer games bad for children? The Psychol 9: 401–407.
    1. Griffiths MD, Hunt N (1998) Dependence on computer games by adolescents. Psychol Rep 82: 475–480.
    1. Young KS (1998) Internet addiction: The emergence of a new clinical disorder. CyberPsychol Behav 1: 237–244.
    1. Rehbein F, Psych G, Kleimann M, Mediasci G, Mößle T (2010) Prevalence and risk factors of video game dependency in adolescence: results of a German nationwide survey. Cyberpsychol Behav Soc Netw 13: 269–277.
    1. Demetrovics Z, Urbán R, Nagygyörgy K, Farkas J, Griffiths MD, et al. (2012) The Development of the Problematic Online Gaming Questionnaire (POGQ). PLoS ONE 7: e36417.
    1. Gentile D (2009) Pathological Video-Game Use Among Youth Ages 8 to 18 A National Study. Psychol Sci 20: 594–602.
    1. Lemmens JS, Valkenburg PM, Peter J (2009) Development and validation of a game addiction scale for adolescents. Media Psychol 12: 77–95.
    1. American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.). Washington, DC: Author.
    1. American Psychiatric Association (2000) Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.). Washington, DC: Author.
    1. Tejeiro Salguero RA, Morán RMB (2002) Measuring problem video game playing in adolescents. Addiction 97: 1601–1606.
    1. Thomas NJ, Martin FH (2010) Video-arcade game, computer game and Internet activities of Australian students: Participation habits and prevalence of addiction. Aust J Psychol 62: 59–66.
    1. Hussain Z, Griffiths MD (2009) Excessive use of massively multi-player online role-playing games: A pilot study. Int J Ment Health Addict 7: 563–571.
    1. Griffiths MD (2005) A‘components’ model of addiction within a biopsychosocial framework. J Subst Use 10: 191–197.
    1. Wood R, Griffiths MD (2007) Online data collection from gamblers: Methodological issues. Int J Ment Health Addict 5: 151–163.
    1. Griffiths MD (2012) The use of online methodologies in studying paraphilias—A review. J Behav Addict 1: 143–150.
    1. Joinson AN (2001) Knowing me, knowing you: Reciprocal self-disclosure in Internet-based surveys. CyberPsychol Behav 4: 587–591.
    1. Suler J (2004) The online disinhibition effect. CyberPsychol Behav 7: 321–326.
    1. Comrey AL (1988) Factor-analytic methods of scale development in personality and clinical psychology. J Consult Clin Psychol 56: 754.
    1. Haladyna TM (1992) The effectiveness of several multiple-choice formats. Appl Meas Educ 5: 73–88.
    1. Muthén LK, Muthén BO (2011) Mplus User's Guide. Sixth Edition. Los Angeles, CA: Muthén & Muthén.
    1. Byrne BM (2013) Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Second Edition. New York, NY: Routledge.
    1. Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling 6: 1–55.
    1. Collins LM, Lanza ST (2010) Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Hoboken, NJ: John Wiley & Sons.
    1. Altman DG, Bland JM (1994) Statistics Notes: Diagnostic tests 1: sensitivity and specificity. Br Med J 308: 1552.
    1. Glaros AG, Kline RB (1988) Understanding the accuracy of tests with cutting scores: the sensitivity, specificity, and predictive value model. J Clin Psychol 44: 1013–1023.
    1. Altman DG, Bland JM (1994) Diagnostic tests 2: predictive values. Br Med J 309: 102.
    1. Charlton JP (2002) A factor-analytic investigation of computer ‘addiction’ and engagement. Br J Psychol 93: 329–344.
    1. Charlton JP, Danforth IDW (2007) Distinguishing addiction and high engagement in the context of online game playing. Comput Human Behav 23: 1531–1548.
    1. Cole H, Griffiths MD (2007) Social interactions in massively multiplayer online role-playing gamers. CyberPsychol Behav 10: 575–583.
    1. Pápay O, Urbán R, Griffiths MD, Nagygyörgy K, Farkas J, et al... (2013) Psychometric Properties of the Problematic Online Gaming Questionnaire Short-Form and Prevalence of Problematic Online Gaming in a National Sample of Adolescents. Cyberpsychol Behav Soc Netw.
    1. Griffiths MD, Davies M, Chappell D (2004) Demographic factors and playing variables in online computer gaming. CyberPsychol Behav 7: 479–487.
    1. Grüsser SM, Thalemann R, Griffiths MD (2007) Excessive computer game playing: evidence for addiction and aggression? CyberPsychol Behav 10: 290–292.
    1. Ko C-H, Yen J-Y, Chen S-H, Wang P-W, Chen C-S, et al... (2014) Evaluation of the diagnostic criteria of Internet gaming disorder in the DSM-5 among young adults in Taiwan. J Psychiatr Res.
    1. Crowne DP, Marlowe D (1960) A new scale of social desirability independent of psychopathology. J Consult Psychol 24: 349–354.

Source: PubMed

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