Is gambling involvement a confounding variable for the relationship between Internet gambling and gambling problem severity?

Internet gamblers have more problems gambling than land-based gamblers, but recent studies showed that Internet gamblers are involved in a higher number of gambling activities, which may confound the relationship between Internet gambling and gambling problems. The present study aimed to test whether the relationship between Internet gambling and gambling problems persisted when including variables related to gambling involvement as predictors, namely time spent gambling and diversity of gambling formats. Data from a large sample of French adolescents (n=9910) were used. Associations between disordered gambling/money spent gambling with Internet gambling were performed using generalized linear models, not controlling and controlling for diversity of gambling formats and time spent gambling. The results showed that Internet gamblers had significantly more problems than land-based gamblers. The relationship decreased when diversity of gambling formats and time spent gambling were controlled separately, and became non-significant when they were both included in the model. To conclude, time spent gambling and diversity of gambling formats rather than Internet gambling should be considered a detrimental gambling behavior. They seemed to capture different aspects of gambling patterns. This study was a step forward in changing the conceptual model of problem gambling, with gambling involvement as a main variable. Time spent gambling and diversity of gambling formats predicted problem gambling.Internet gambling did not predict problem gambling above gambling involvement.Gambling involvement was a main variable to understand problem gambling.

[1]  Yong Liu,et al.  Is all Internet gambling equally problematic? Considering the relationship between mode of access and gambling problems , 2016, Comput. Hum. Behav..

[2]  Sally Melissa Gainsbury,et al.  Greater involvement and diversity of Internet gambling as a risk factor for problem gambling , 2015, European journal of public health.

[3]  Debi A. LaPlante,et al.  Disordered gambling, type of gambling and gambling involvement in the British Gambling Prevalence Survey 2007. , 2011, European journal of public health.

[4]  L. Mewton,et al.  Improving the diagnostic criteria for alcohol use disorders through survey methodology and cognitive interviewing , 2014, International journal of methods in psychiatric research.

[5]  Susana Jiménez-Murcia,et al.  Are online pathological gamblers different from non-online pathological gamblers on demographics, gambling problem severity, psychopathology and personality characteristics? , 2011 .

[6]  A. Berchtold,et al.  Reframing video gaming and internet use addiction: empirical cross-national comparison of heavy use over time and addiction scales among young users. , 2016, Addiction.

[7]  Alex Blaszczynski,et al.  A digital revolution: Comparison of demographic profiles, attitudes and gambling behavior of Internet and non-Internet gamblers , 2012, Comput. Hum. Behav..

[8]  P. Maciejewski,et al.  Health correlates of recreational gambling in older adults. , 2004, The American journal of psychiatry.

[9]  G Gmel,et al.  Defining substance use disorders: do we really need more than heavy use? , 2013, Alcohol and alcoholism.

[10]  L. Mewton,et al.  Do young adults interpret the DSM diagnostic criteria for alcohol use disorders as intended? a cognitive interviewing study. , 2013, Alcoholism, clinical and experimental research.

[11]  Terri-Lynn MacKay,et al.  Online gambling participation and problem gambling severity: is there a causal relationship? , 2014 .

[12]  Debi A. LaPlante,et al.  Breadth and depth involvement: Understanding Internet gambling involvement and its relationship to gambling problems. , 2014, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[13]  Mark D. Griffiths,et al.  Impact of Internet gambling on problem gambling among adolescents in Italy: Findings from a large-scale nationally representative survey , 2016, Comput. Hum. Behav..

[14]  Alexander Pabst,et al.  Gambling Among Adults in Germany: Prevalence, Disorder and Risk Factors , 2011 .

[15]  K. Karriker-Jaffe,et al.  Refining measures of alcohol problems for general population surveys. , 2015, Alcoholism, clinical and experimental research.

[16]  Robert T. Wood,et al.  A comparative profile of the Internet gambler: Demographic characteristics, game-play patterns, and problem gambling status , 2011, New Media Soc..

[17]  R. Volberg,et al.  Defining the online gambler and patterns of behaviour integration: evidence from the British Gambling Prevalence Survey 2010 , 2011 .

[18]  Jerome C. Wakefield,et al.  How Many People have Alcohol Use Disorders? Using the Harmful Dysfunction Analysis to Reconcile Prevalence Estimates in Two Community Surveys , 2014, Front. Psychiatry.