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Abstract

A three-wave, longitudinal study examined the long-term trajectory of problem gaming symptoms among adult regular video gamers. Potential changes in problem gaming status were assessed at two intervals using an online survey over an 18-month period. Participants (N=117) were recruited by an advertisement posted on the public forums of multiple Australian video game-related websites. Inclusion criteria were being of adult age and having a video gaming history of at least 1 hour of gaming every week over the past 3 months. Two groups of adult video gamers were identified: those players who did (N=37) and those who did not (N=80) identify as having a serious gaming problem at the initial survey intake. The results showed that regular gamers who self-identified as having a video gaming problem at baseline reported more severe problem gaming symptoms than normal gamers, at all time points. However, both groups experienced a significant decline in problem gaming symptoms over an 18-month period, controlling for age, video gaming activity, and psychopathological symptoms.

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References

Blaszczynski

. Commentary: a response to “Problems with the concept of video game “addiction”: some case study examples.” International Journal of Mental Health and Addiction, 2008; 6:179–181.

Griffiths

. Video game addiction: further thoughts and observations. International Journal of Mental Health and Addiction, 2008; 6:182–185.

Khan

. 2007. Emotional and behavioral effects, including addictive potential, of video games (CSAPH Report 12-A-07). Report of the Council on Science and Public Health for the American Medical Association. http://psychcentral.com/blog/images/csaph12a07.pdf. 2012 Jan 26.

King

, Delfabbro

, Griffiths

et al. Assessing clinical trials of Internet addiction treatment: a systematic review and CONSORT evaluation. Clinical Psychology Review, 2011; 31:1110–1116.

Shaffer

, Hall

, Vander Bilt

. “Computer Addiction”: a critical consideration. American Journal of Orthopsychiatry, 2000; 70:162–168.

Wood

RTA

. Problems with the concept of video game “addiction”: some case study examples. International Journal of Mental Health and Addiction, 2008; 6:169–178.

Ferguson

, Coulson

, Barnett

. A meta-analysis of pathological gaming prevalence and comorbidity with mental health, academic and social problems. Journal of Psychiatric Research, 2011; 45:1573–1578.

Kuss

, Griffiths

. Online gaming addiction in adolescence: a literature review of empirical research. Journal of Behavioural Addiction, 2012; 1:3–22.

Gentile

, Choo

, Liau

et al. Pathological video game use among youths: a two-year longitudinal study. Pediatrics, 2011; 127:319–329.

10.

Grüsser

, Thalemann

, Griffiths

. Excessive computer game playing: evidence for addiction and aggression? CyberPsychology and Behavior, 2007; 10:290–292.

11.

Lemmens

, Valkenberg

, Peter

. The effects of pathological gaming on aggressive behavior. Journal of Youth and Adolescence, 2011; 40:38–47.

12.

van Rooij

, Schoenmakers

, Vermulst

et al. Online video game addiction: identification of addicted adolescent gamers. Addiction, 2011; 106:205–212.

13.

Charlton

, Danforth

IDW

. Distinguishing addiction and high engagement in the context of online game playing. Computers in Human Behavior, 2007; 23:1531–1548.

14.

Griffiths

. 2008. Videogame addiction: fact or fiction? Willoughby

, Wood

. Children's learning in a digital world. Oxford: Blackwell Publishing, 85–103.

15.

Jackson

, von Eye

, Witt

et al. A longitudinal study of the effects of Internet use and video game playing on academic performance and the roles of gender, race and income in these relationships. Computers in Human Behavior, 2011; 27:228–239.

16.

Willoughby

. A short-term longitudinal study of internet and computer game use by adolescent boys and girls: prevalence, frequency of use, and psychosocial predictors. Developmental Psychology, 2008; 44:195–204

17.

King

, Delfabbro

, Griffiths

. The role of structural characteristics in problematic video game playing: an empirical study. International Journal of Mental Health and Addiction, 2011; 9:320–333.

18.

Widyanto

, Griffiths

, Brunsden

. A psychometric comparison of the Internet Addiction Test, the Internet Related Problem Scale, and Self-Diagnosis. Cyberpsychology, Behavior, and Social Networking, 2011; 14:141–149.

19.

Young

. 1998. Caught in the net. New York: John Wiley & Sons.

20.

King

, Delfabbro

, Zajac

. Preliminary validation of a new clinical tool for identifying problem video game playing. International Journal of Mental Health and Addiction, 2011; 9:72–87.

21.

Antony

, Bieling

, Cox

et al. Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological Assessment, 1998; 10:176–181.

22.

Cohen

. A power primer. Psychological Bulletin, 1992; 112:155–159.

23.

Anglin

, Brecht

, Woodward

et al. An empirical study of maturing out: conditional factors. International Journal of Addiction, 1986; 21:233–246.

24.

Toneatto

, Cunningham

, Hodgins

et al. Recovery from problem gambling without formal treatment. Addiction Research and Theory, 2008; 16:111–120.

25.

King

, Delfabbro

, Griffiths

et al. Cognitive-behavioral approaches to outpatient treatment of Internet addiction in children and adolescents. Journal of Clinical Psychology, 2012; 68:1185–1195.

Trajectories of Problem Video Gaming Among Adult Regular Gamers: An 18-Month Longitudinal Study

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