Measuring Problem Online Video Gaming and Its Association With Problem Gambling and Suspected Motivational,Mental Health,and Behavioral Risk Factors in a Sample of University Students
Restricted accessResearch articleFirst published online June, 2021
Measuring Problem Online Video Gaming and Its Association With Problem Gambling and Suspected Motivational,Mental Health,and Behavioral Risk Factors in a Sample of University Students
Recently, the issue of problem online video game playing and its potential connection with problem gambling has drawn increased attention. Although conceptually similar to many behavioral addictions, there is still no clear consensus on how to best measure and assess problem video game playing. This study validates one proposed measure of problem video gaming—the Problem Video Game Playing Test (PVGT)—in a Canadian undergraduate university student sample. Multivariate results indicate that problem video gaming is positively associated with the average length of time spent gaming, social alienation, and online gaming motives such as competition, escape, coping, recreation, and socializing; but, contrary to the gateway hypothesis, problem gambling and several of its mental health correlates—depression, anxiety, and stress—are not associated with problem video gaming as measured by the PVGT. Limitations and implications of this analysis are discussed.
BeconaE.LorenzoM.FuentesM. (1996). Pathological gambling and depression. Psychological Reports, 78, 635–640.
2.
BlackD.MoyerT. (1998). Clinical features and psychiatric comorbidity of subjects with pathological gambling behaviour. Journal of Psychiatric Services, 49, 1434–1440.
3.
BlaszczynskiA.NowerL. (2002). A pathways model of problem and pathological gambling. Addiction, 97, 487–499.
4.
BlaszczynskiA.SteelZ.McConaghyN. (1997). Impulsivity in pathological gambling: The antisocial impulsivist. Addiction, 92, 75–87.
5.
BlockJ. J. (2008). Issues for DSM-V: Internet addiction. The American Journal of Psychiatry, 165, 306–307.
6.
CharltonJ. P.DanforthI. D. (2007). Distinguishing addiction and high engagement in the context of online game playing. Computers in Human Behavior, 23, 1531–1548.
7.
ColwellJ.KatoM. (2003). Investigation of the relationship between social isolation, self-esteem, aggression and computer game play in Japanese adolescents. Asian Journal of Social Psychology, 6, 149–158.
8.
CurrieS. R.HodginsD. C.CaseyD. M. (2013). Validity of the Problem Gambling Severity Index interpretive categories. Journal of Gambling Studies, 29, 311–327.
9.
DelfabbroP.KingD. (2015). On finding the C in CBT: The challenges of applying gambling-related cognitive approaches to video-gaming. Journal of Gambling Studies, 31, 315–329.
10.
DelfabbroP.KingD.LambosC.PugliesS. (2009). Is video-game playing a risk factor for pathological gambling in Australian adolescents?Journal of Gambling Studies, 25, 391–405
11.
DemetrovicsZ.UrbanR.NagygyorgyK.FarkasJ.ZilahyD.MervoB.ReindlA.AgostonC.KerteszA.HarmathE. (2011). Why do you play? The development of the motives for online gaming questionnaire (MOGQ). Behavior Research Methods, 43, 814–825.
12.
DerevenskyJ. L.GainsburyS. M. (2016). Social casino gaming and adolescents: Should we be concerned and is regulation in sight?International Journal of Law and Psychiatry, 44, 1–6.
13.
DerevenskyJ. L.GainsburyS.GuptaR.ElleryM. (2013). Play-for-fun/social-casino gambling: An examination of our current knowledge. A report submitted to the Manitoba Gambling Research Program, October, 2013.
14.
DesaiR. A.Krishnan-SarinS.CavalloD.PotenzaM. N. (2010). Video-gaming among high school students: Health correlates, gender differences, and problematic gaming. Pediatrics, 126, e1414–e1424.
15.
DienerE. D.EmmonsR. A.LarsenR. J.GriffinS. (1985). The Satisfaction With Life Scale. Journal of Personality Assessment, 49, 71–75.
16.
DomahidiE.FestlR.QuandtT. (2014). To dwell among gamers: Investigating the relationship between social online game use and gaming-related friendships. Computers in Human Behavior, 35, 107–115.
17.
DucheneautN.YeeN.NickellE.MooreR. J. (2006). ‘Alone together?’: Exploring the social dynamics of massively multiplayer online games. In CutrellE.GrinterR.JeffriesR.OlsenG.RoddenT. (Eds.), Conference on human factors in computing systems (pp. 407–416). ACM.
ForrestC. J.KingD. L.DelfabbroP. H. (2016). The gambling preferences and behaviors of a community sample of Australian regular video game players. Journal of Gambling Studies, 32, 409–420.
20.
GainsburyS.HingN.DelfabbroP. H.KingD. L. (2014). A taxonomy of gambling and casino games via social media and online technologies. International Gambling Studies, 14, 196–213.
21.
GainsburyS.KingD.AbarbanelB.DelfabbroP.HingN. (2015). Convergence of gambling and gaming in digital media. Victorian Responsible Gambling Foundation.
Gray-LittleB.WilliamsV. S. L.HancockT. D. (1997). An item response theory analysisof the Rosenberg Self-Esteem Scale. Personality and Social Psychology Bulletin, 23, 443–451.
24.
GriffithsM. D. (2008). Internet and video-game addiction. In EssauC. A. (Ed.), Adolescent addiction: Epidemiology, assessment, and treatment (pp. 231–268). Academic Press.
25.
GriffithsM. D. (2018). Is the buying of loot boxes in video games a form of gambling or gaming?Gaming Law Review, 22, 52–54.
26.
GriffithsM. D.KussD. J. (2015). Online addictions gambling, video gaming, and social networking. In SundarS. S. (Ed.), The handbook of the psychology of communication technology (pp. 384–404). Wiley.
27.
GriffithsM. D.Van RooijA. J.Kardefelt-WintherD.StarcevicV.KirályO.PallesenS.MüllerK.DreierM.CarrasM.PrauseN.KingD. L.AboujaoudeE.KussD. J.PontesH. M.Lopez FernandezO.NagygyorgyK.AchabS.BillieuxJ.QuandtT.CarbonellX.…DemetrovicsZ. (2016). Working towards an international consensus on criteria for assessing Internet gaming disorder: A critical commentary on Petry et al. (2014). Addiction (Abingdon, England), 111, 167–175
28.
GuptaR.DerevenskyJ. L.EllenbogenS. (2006). Personality characteristics and risk-taking tendencies among adolescent gamblers. Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement, 38, 201–213.
29.
HamariJ.SjöblomM. (2017). What is eSports and why do people watch it?Internet Research, 27, 211–232.
30.
JessorR.JessorS. L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. Academic Press.
31.
KaptsisD.KingD. L.DelfabbroP. H.GradisarM. (2016). Withdrawal symptoms in Internet gaming disorder: A systematic review. Clinical Psychology Review, 43, 58–66.
32.
KeoughM. T.WardellJ. D.HendershotC. S.BagbyR. M.QuiltyL. C. (2017). Fun seeking and reward responsiveness moderate the effect of the behavioural inhibition system on coping-motivated problem gambling. Journal of Gambling Studies, 33, 769–782.
33.
KeyesC. L. (2002). The mental health continuum: From languishing to flourishing in life. Journal of Health and Social Behavior, 43, 207–222.
34.
KingD. L.DelfabbroP. H.GriffithsM. D. (2013). Video game addiction. Principles of Addiction: Comprehensive Addictive Behaviors and Disorders, 1, 819–827.
35.
KingD. L.DelfabbroP. H.ZajacI. T. (2011). Preliminary validation of a new clinical tool for identifying problem video game playing. International Journal of Mental Health Addiction, 9, 72–87
36.
KowertR.OldmeadowJ. A. (2015). Playing for social comfort: Online video game play as a social accommodator for the insecurely attached. Computers in Human Behavior, 53, 556–566.
37.
LemmensJ. S.ValkenburgP. M.GentileD. A. (2015). The Internet Gaming Disorder Scale. Psychological Assessment, 27, 567.
38.
LemmensJ. S.ValkenburgP. M.PeterJ. (2009). Development and validation of a Game Addiction Scale for adolescents. Media Psychology, 12, 77–95
39.
LindenW. (1984). Development and initial validation of a life event scale for students. Canadian Journal of Counselling and Psychotherapy, 18, 106–110.
40.
MaceyJ.HamariJ. (2018). Investigating relationships between video gaming, spectating esports, and gambling. Computers in Human Behavior, 80, 344–353.
41.
MaceyJ.HamariJ. (2019). eSports, skins and loot boxes: Participants, practices and problematic behaviour associated with emergent forms of gambling. New Media & Society, 21, 20–41.
42.
MarchandA.Hennig-ThurauT. (2013). Value creation in the video game industry: Industry economics, consumer benefits, and research opportunities. Journal of Interactive Marketing, 27, 141–157.
MeschG. S.TalmudI. (2006). Online friendship formation, communication channels, and social closeness. International Journal of Internet Science, 1, 29–44.
PattonJ. H.StanfordM. S.BarrattE. S. (1995). Factor structure of the Barratt Impulsiveness Scale. Journal of Clinical Psychology, 51, 768–774.
47.
PetryN. M.RehbeinF.GentileD. A.LemmensJ. S.RumpfH. J.MößleT.BischofG.TaoR.FungD. S. S.BorgesG.AuriacombeM.IbanezA. G.TamP.O’BrienC. P. (2014). An international consensus for assessing Internet gaming disorder using the new DSM-5 approach. Addiction, 109, 1399–1406.
48.
PetryN. M.RehbeinF.KoC. H.O’BrienC. P. (2015). Internet gaming disorder in the DSM-5. Current Psychiatry Reports, 17, 72.
49.
PontesH. M.KiralyO.DemetrovicsZ.GriffithsM. D. (2014). The conceptualisation and measurement of DSM-5 Internet gaming disorder: The development of the IGD-20 test. PLoS One, 9, e110137.
50.
PrzybylskiA. K.RigbyC. S.RyanR. M. (2010). A motivational model of video game engagement. Review of General Psychology, 14, 154.
51.
Responsible Gambling Council. (2015). Canadian gambling digest 2013-2014. Canadian Partnership for Responsible Gambling.
52.
SafipourJ.TessmaM. K.HigginbottomG.EmamiA. (2010). Measuring social alienation in adolescence: Translation and validation of the Jessor and Jessor Social Alienation Scale. Scandinavian Journal of Psychology, 51, 517–524.
53.
SimT.GentileD. A.BricoloF.SerpelloniG.GulamoydeenF. (2012). A conceptual review of research on the pathological use of computers, video games, and the Internet. International Journal of Mental Health and Addiction, 10, 748–769.
54.
SjöblomM.TörhönenM.HamariJ.MaceyJ. (2017). Content structure is king: An empirical study on gratifications, game genres and content type on Twitch. Computers in Human Behavior, 73, 161–171.
55.
SpitzerR. L.KroenkeK.WilliamsJ. B.LöweB. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166, 1092–1097.
56.
StanfordM. S.MathiasC. W.DoughertyD. M.LakeS. L.AndersonN. E.PattonJ. H. (2009). Fifty years of the Barratt Impulsiveness Scale: An update and review. Personality and Individual Differences, 47, 385–395.
57.
StinchfieldR.McCreadyJ.TurnerN. E.Jimenez-MurciaS.PetryN. M.GrantJ.WelteJ.ChapmanH.WintersK. C. (2016). Reliability, validity, and classification accuracy of the DSM-5 diagnostic criteria for gambling disorder and comparison to DSM-IV. Journal of Gambling Studies, 32, 905–922.
58.
StockdaleL.CoyneS. M. (2018). Video game addiction in emerging adulthood: Cross-sectional evidence of pathology in video game addicts as compared to matched healthy controls. Journal of Affective Disorders, 225, 265–272
59.
WeinsteinA.AbuH. B.TimorA.MamaY. (2016). Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and video gaming disorders. Journal of Behavioral Addictions, 5, 674–682.
60.
WheatonB.MuthenB.AlwinD. F.SummersG. F. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84–136.
61.
WoodR. T.WilliamsR. J. (2011). A comparative profile of the Internet gambler: Demographic characteristics, game-play patterns, and problem gambling status. New Media & Society, 13, 1123–1141.
62.
YoungK. S. (1998). Caught in the net. Wiley.
63.
ZendleD.CairnsP. (2018). Video game loot boxes are linked to problem gambling: Results of a large-scale survey. PLoS One, 13, e0206767.
64.
ZendleD.CairnsP.BarnettH.McCallC. (2020). Paying for loot boxes is linked to problem gambling, regardless of specific features like cash-out and pay-to-win. Computers in Human Behavior, 102, 181–191.
65.
ZhouY.LiZ. (2009). Online game addiction among Chinese college students measurement and attribution. Studies in Health Technology and Informatics, 144, 149–154.
