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Predictors of Problem Gambling for Sports and Non-sports Gamblers: A Stochastic Search Variable Selection Analysis

Journal of Gambling Studies (2021)Cite this article

Abstract

Differences in the psychological characteristics and gambling behaviors of sports bettors and non-sports bettors were examined with a view to identifying predictors of problem gambling severity. A survey was completed by 1,280 participants, 596 of whom had placed bets on a sporting event in the last year. We found that sports bettors are at greater risk of problem gambling due to differences in attitudes towards gambling, personality traits, thinking styles, erroneous cognitions, and gambling motivations. Moreover, our findings suggest that the difference between individuals who bet on sports and those who do not is more quantitative than qualitative. A stratified stochastic search variable selection analysis by type of bettor revealed similar important predictors of problem gambling for both sports bettors and non-sports bettors; however, the association between the predictors and problem gambling was stronger for sports bettors. Overall, the findings of this study suggest that preventative methods and interventions for problem gambling should be targeted as a function of whether individuals bet on sports.

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References

  • Bainter, S., McCauley, T. G., Wager, T., & Losin, E. A. R. (2020). Improving practices for selecting a subset of important predictors in psychology: An application to predicting pain. Advances in Methods and Practices in Psychological Science, 3, 66–80.

    Article  Google Scholar 

  • Brosowski, T., Olason, D. T., Turowski, T., & Hayer, T. (2020). The gambling consumption mediation model (GCMM): A multiple mediation approach to estimate the association of particular game types with problem gambling. Journal of Gambling Studies, 37(1), 107–140. https://doi.org/10.1007/s10899-020-09928-3.

  • Calado, F., & Griffiths, M. D. (2006). Problem gambling worldwide: An update and systematic review of empirical research (2000–2015). Journal of Behavioral Addiction, 5(4), 592–613. https://doi.org/10.1556/2006.5.2016.073.

    Article  Google Scholar 

  • Caler, K., Garcia, J., & Nower, L. (2016). Assessing problem gambling: A review of classic and specialized measures. Current Addiction Reports, 3, 437–444.

    Article  Google Scholar 

  • Chiu, J., & Storm, L. (2010). Personality, perceived luck and gambling attitudes as predictors of gambling involvement. Journal of Gambling Studies, 26(2), 205–227.

    Article  Google Scholar 

  • Clarke, D. (2004). Impulsiveness, locus of control, motivation and problem gambling. Journal of Gambling Studies, 20(4), 319–345.

    Article  Google Scholar 

  • Cyders, M. A., Littlefield, A. K., Coffey, S., & Karyadi, K. A. (2014). Examination of ashort english version of the upps-p impulsive behavior scale. Addictive Behaviors, 39(9), 1372–1376.

    Article  Google Scholar 

  • Devos, M. G., Clark, L., Bowden-Jones, H., Grall-Bronnec, M., Challet-Bouju, G., Khazaal, Y., & Billieux, J. (2020). The joint role of impulsivity and distorted cognitions in recreationaland problem gambling: A cluster analytic approach. Journal of affective disorders, 260, 473–482.

    Article  Google Scholar 

  • Dong, G., & Potenza, M. N. (2014). A cognitive-behavioral model of Internet gaming disorder: Theoretical underpinnings and clinical implications. Journal of Psychiatric Research, 58, 7–11. https://doi.org/10.1016/j.jpsychires.2014.07.005.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fatima, S., Jamil, M., & Ardila, A. (2019). Cognitive control and criminogenic cognitions in south asian gamblers. Journal of gambling studies, 35(2), 501–516.

    Article  Google Scholar 

  • Ferris, J. A., & Wynne, H. J. (2001). The Canadian problem gambling index. . CanadianCentre on Substance Abuse Ottawa.

    Google Scholar 

  • Gainsbury, S. M., Angus, D. J., & Blaszczynski, A. (2019). Isolating the impact of specific gambling activities and modes on problem gambling and psychological distress in internet gamblers. BMC Public Health, 19, 1372. https://doi.org/10.1186/s12889-019-7738-5.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gainsbury, S. M., Russell, A., Hing, N., Wood, R., Lubman, D., & Blaszczynski, A. (2015). How the Internet is changing gambling: Findings from an Australian prevalence survey. Journal of Gambling Studies, 31, 1–15.

    Article  Google Scholar 

  • Gassmann, F., Emrich, E., & Pierdzioch, C. (2017). Who bets on sports? Some further empirical evidence using German data. International Review for the Sociology of Sport, 52, 391–410.

    Article  Google Scholar 

  • Gordon, R., Gurrieri, L., & Chapman, M. (2015). Broadening an understanding of problem gambling: The lifestyle consumption community of sports betting. Journal of Business Research, 68(10), 2164–2172.

    Article  Google Scholar 

  • Hearn, N. L., Ireland, J. L., Eslea, M., & Fisk, J. E. (2020). Exploring pathways to gambling: Proposing the integrated risk and protective factors model of gambling types. Journal of Gambling Studies, 37(1), 1–26.  https://doi.org/10.1007/s10899-020-09929-2.

  • Hing, N., Russell, A. M., Vitartas, P., & Lamont, M. (2016). Demographic, behavioural and normative risk factors for gambling problems amongst sports bettors. Journal of gambling studies, 32(2), 625–641.

    Article  Google Scholar 

  • Howe, P. D. L., Vargas-Sáenz, A., Hulbert, C. A., & Boldero, J. M. (2019). Predictors of gambling and problem gambling in Victoria Australia. PLoS ONE, 14(1), e0209277. https://doi.org/10.1371/journal.pone.0209277.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  • LaPlante, D. A., Nelson, S. E., LaBrie, R. A., & Shaffer, H. J. (2011). Disordered gambling, type of gambling and gambling involvement in the British Gambling Prevalence Survey 2007. The European Journal of Public Health, 21(4), 532–537.

    Article  Google Scholar 

  • Lopez-Gonzalez, H., Estévez, A., & Griffiths, M. D. (2018). Controlling the illusion of control: A grounded theory of sports betting advertising in the UK. International Gambling Studies, 18(1), 39–55.

    Article  Google Scholar 

  • Lopez-Gonzalez, H., Estévez, A., & Griffiths, M. D. (2019). Can positive social perception and reduced stigma be a problem in sports betting? A qualitative focus group study with Spanish sports bettors undergoing treatment for gambling disorder. Journal of Gambling Studies, 35(2), 571–585.

    Article  Google Scholar 

  • Lopez-Gonzalez, H., Guerrero-Sol, F., & Griffiths, M. D. (2018). A content analysis of how ‘normal’ sports betting behaviour is represented in gambling advertising. Addiction Research & Theory, 26, 238–247.

    Article  Google Scholar 

  • Marchica, L., & Derevensky, J. L. (2016). Examining personalized feedback interventions for gambling disorders: A systematic review. Journal of Behavioral Addictions, 5(1), 1–10.

    Article  Google Scholar 

  • Marmurek, H. H., Switzer, J., & D’alvise, J. (2014). A comparison of university student and community gamblers: Motivations, impulsivity, and gambling cognitions. Journal of Behavioral Addictions, 3(1), 54–64.

    Article  Google Scholar 

  • Miller, N., Currie, S., Hodgins, D., & Casey, D. (2013). Validation of the problem gambling severity index using confirmatory factor analysis and rasch modelling. International Journal of Methods in Psychiatric Research, 22, 245–255.

    Article  Google Scholar 

  • Moore, S. M., & Ohtsuka, K. (1999). The prediction of gambling behavior and problemgambling from attitudes and perceived norms. Social Behavior and Personality: AnInternational Journal, 27, 455–466.

    Article  Google Scholar 

  • Nelson, S. E., LaPlante, D. A., Gray, H. M., Tom, M. A., Kleschinsky, J. H., & Shaffer, H. J. (2018). Already at the table: Patterns of play and gambling involvement prior to gambling expansion. Journal of Gambling Studies, 34(1), 275–295.

    Article  Google Scholar 

  • Ontario Lottery and Gambling Corporation. Annual report: 2018–2019.

  • Pacini, R., & Epstein, S. (1999). The relation of rational and experiential information processing styles to personality, basic beliefs, and the ratio-bias phenomenon. Journal of Personality and Social Psychology, 76, 972.

    CAS  Article  Google Scholar 

  • Robbins, T. W. (2019). Commentary on Bechara et al.’s, A neurobehavioral approach to addiction: Implications for the opioid epidemic and the psychology of addiction. Psychological Science in the Public Interest, 20(2), 91–95.

  • Russell, A., Hing, N., & Browne, M. (2019). Risk factors for gambling problems specifically associated with sports betting. Journal of Gambling Studies, 35, 1211–1228.

    Article  Google Scholar 

  • Shadel, W., & Mermelstein, R. (1996). Individual differences in self-concept among smokers attempting to quit: Validation and predictive utility of measures of the smoker self-concept and abstainer self-concept. Annals of Behavioral Medicine, 18(3), 151–156. https://doi.org/10.1007/BF02883391.

    CAS  Article  PubMed  Google Scholar 

  • Shinaprayoon, T., Carter, N. T., & Goodie, A. S. (2017). The modified gambling motivation scale: Confirmatory factor analysis and links with problem gambling. Journal of Gambling Issues, 37, 108–135.

    Google Scholar 

  • Slutske, W. S., Caspi, A., Moffitt, T. E., & Poulton, R. (2005). Personality and problemgambling: A prospective study of a birth cohort of young adults. Archives of GeneralPsychiatry, 62(7), 769–775.

    Article  Google Scholar 

  • Steenbergh, T. A., Meyers, A. W., May, R. K., & Whelan, J. P. (2002). Development and validation of the gamblers’ beliefs questionnaire. Psychology of Addictive Behaviors, 16, 143.

    Article  Google Scholar 

  • Tolchard, B. (2017). Cognitive-behavior therapy for problem gambling: a critique of current treatments and proposed new unified approach. Journal of Mental Health, 26(3), 283–290. https://doi.org/10.1080/09638237.2016.1207235.

    Article  PubMed  Google Scholar 

  • Wann, D. L., Grieve, F. G., Zapalac, R. K., End, C., Lanter, J. R., Pease, D. G., Fellows, B., Oliver, K., & Wallace, A. (2013). Examining the superstitions of sport fans: Types of superstitions, perceptions of impact, and relationship with team identification. Athletic Insight, 5(1), 21.

    Google Scholar 

  • Winters, K. C., & Derevensky, J. L. (2019). A review of sports wagering: Prevalence, characteristics of sports bettors, and association with problem gambling. Journal of Gambling Issues, 43. https://doi.org/10.4309/jgi.2019.43.7.

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Funding

Gambling Research Exchange Ontario.

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Authors and Affiliations

  1. University of Guelph, Guelph, ON, N1G 2W1, Canada

    Alysha Cooper, Katrina Olfert & Harvey H. C. Marmurek

Authors
  1. Alysha Cooper
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  2. Katrina Olfert
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  3. Harvey H. C. Marmurek
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Correspondence to Harvey H. C. Marmurek.

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Cooper, A., Olfert, K. & Marmurek, H.H.C. Predictors of Problem Gambling for Sports and Non-sports Gamblers: A Stochastic Search Variable Selection Analysis. J Gambl Stud (2021). https://doi.org/10.1007/s10899-021-10025-2

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  • DOI: https://doi.org/10.1007/s10899-021-10025-2

Keywords

  • Sports gambling
  • Motivation
  • Cognitions
  • Impulsivity
  • Bayesian analysis