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Gambling Problem Trajectories and Associated Individuals Risk Factors: A Three-Year Follow-Up Study Among Poker Players

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Abstract

Despite the popularity in poker-related activities in recent years, few studies have focused on the evolution of gambling habits of poker players over a long period of time. The aim of this study is to examine factors influencing trajectories of poker players. The results are based on data collected at a four-time measurement of a prospective cohort study conducted in Quebec (n = 304 poker players). A latent class growth analysis was performed to identify trajectories based on the Problem Gambling Severity Index score. Multinomial multivariable logistic regression analyses were conducted to determine the correlates of gambling trajectories. Over the 3 years of the study, three gambling problem trajectories were identified, comprising one decreasing trajectory (1st: non-problematic—diminishing), one stable trajectory (2nd: low risk—stable), and one increasing trajectory (3th: problem gamblers—increasing). Internet as the main poker form and number of game played were associated with at-risk trajectories. Depression symptoms were significant predictors of the third trajectory whereas impulsivity predicted the second trajectory. This study shows that the risk is remaining low over years for the vast majority of poker players. However, the vulnerable poker players at the beginning of the study remain on a problematic increasing trajectory. It is therefore important to prioritize individuals in the third trajectory for interventions.

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References

  • Abbott, M. W., Williams, M. M., & Volberg, R. A. (2004). A prospective study of problem and regular nonproblem gamblers living in the community. Substance Use and Misuse,39, 855–884.

    PubMed  Google Scholar 

  • Abdollahnejad, R., Delfabbro, P., & Denson, L. (2015). Personality diroders and erroneous beliefs in pathological gambling. International Journal of Mental Health and Addiction,13, 376–390.

    Google Scholar 

  • Barrault, S., & Varescon, I. (2013a). Impulsive sensation seeking and gambling practice among a sample of online poker players. Comparison between non pathological, problem and pathological gamblers. Personality and Individual Differences,55, 502–509.

    Google Scholar 

  • Barrault, S., & Varescon, I. (2013b). Cognitive distortions, anxiety, and depression among regular and pathological gambling online poker players. Cyberpsychology, Behavior, and Social Networking,16, 183–188.

    Google Scholar 

  • Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology,56, 893–897.

    CAS  PubMed  Google Scholar 

  • Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck depression inventory manual. San Antonio, TX: Psychological Corporation.

    Google Scholar 

  • Bjerg, O. (2010). Problem gambling in poker: Money, rationality and control in a skill-based social game. International Gambling Studies,10, 239–254.

    Google Scholar 

  • Bourque, P., & Beaudette, D. (1982). Étude psychométrique du questionnaire de dépression de Beck auprès d’un échantillon d’étudiants universitaires francophones (Psychometric evaluation of the Beck Inventory on a sample of French-speaking university students). Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement,14, 211–218.

    Google Scholar 

  • Bradley, C., & Schroeder, R. D. (2009). Because it’s free poker! A qualitative analysis of free Texas Hold’em Poker tournaments. Sociological Spectrum,29, 401–430.

    Google Scholar 

  • Brochu, P., Sévigny, S., & Giroux, I. (2015). Raisons de jouer, émotions et perceptions relatives au hasard et à l’habileté́ de joueurs pratiquant le poker Texas Hold’em en ligne. Journal of Gambling Issues,31, 78–111.

    Google Scholar 

  • Brosowski, T., Meyer, G., & Hayer, T. (2012). Analyses of multiple types of online gambling within one provider: An extended evaluation framework of actual online gambling behaviour. International Gambling Studies,12, 405–419.

    Google Scholar 

  • Currie, S. R., Hodgins, D. C., Casey, D. M., el-Guebaly, N., Smith, G. J., Williams, R. J., et al. (2012). Examining the predictive validity of low-risk gambling limits with longitudinal data. Addiction,107, 400–406.

    PubMed  Google Scholar 

  • Dowling, N. A., Merkouris, S. S., Greenwood, C. J., Oldenhof, E., Toumbourou, J. W., & Youssef, G. (2017). Early risk and protective factors for problem gambling: A systematic review and meta-analysis of longitudinal studies. Clinical Psychology Review,51, 109–124.

    CAS  PubMed  Google Scholar 

  • Dufour, M., Brunelle, N., & Roy, É. (2015). Are poker players all the same? Latent class analysis. Journal of Gambling Studies,31, 441–454.

    PubMed  Google Scholar 

  • Dufour, M., Petit, S., & Brunelle, N. (2012). La perception du poker selon les joueurs adeptes: un jeu qui les distingue. Criminologie,45, 7–25.

    Google Scholar 

  • Edgerton, J. D., Melnyk, T. S., & Roberts, L. W. (2015). An exploratory study of multiple distinct gambling trajectories in emerging adults. Journal Of Youth Studies,18, 743–762.

    Google Scholar 

  • el-Guebaly, N., Casey, D. M., Currie, S. R., Hodgins, D. C., Schopflocher, D. P., Smith, G. J., et al. (2015). The Leisure, Lifestyle, & Lifecycle Project (LLLP): A longitudinal study of gambling in Alberta. Final report. Alberta Gambling Research Institute, Alberta.

  • Eysenck, S. B., & Eysenck, H. J. (1977). The place of impulsiveness in a dimensional system of personality description. British Journal of Social and Clinical Psychology,16, 57–68.

    CAS  Google Scholar 

  • Ferris, J., & Wynne, H. (2001). The Canadian Problem Gambling Index: Final report. Report. Canadian Centre on Substance Abuse, Ontario.

  • Fiedler, I., & Wilcke, A. (2012). The market for online poker. UNLV Gaming Research & Review Journal,16, 7–20.

    Google Scholar 

  • Freeston, M. H., Ladouceur, R., Thibodeau, N., Gagnon, F., & Rhéaume, J. (1994). L’inventaire d’anxiété de Beck: Propriétés psychométriques d’une traduction française (Beck’s anxiety inventory: Psychometric properties of a French translation). L’Encéphale: Revue de psychiatrie clinique biologique et thérapeutique,20, 47–55.

    CAS  Google Scholar 

  • Gainsbury, S. M., Blankers, M., Wilkinson, C., Schelleman-Offermans, K., & Cousijn, J. (2014). Recommendations for international gambling harm-minimisation guidelines: Comparison with effective public health policy. Journal of Gambling Studies,30, 771–788.

    PubMed  Google Scholar 

  • Gori, A., Craparo, G., Caretti, V., Giannini, M., Iraci-Sareri, G., Bruschi, A., et al. (2016). Impulsivity, alexithymia and dissociation among pathological gamblers in different therapeutic settings: A multisample comparison study. Psychiatry Research,246, 789–795.

    PubMed  Google Scholar 

  • Hopley, A. A. B., Dempsey, K., & Nicki, R. (2012). Texas Hold’Em online poker: A further examination. International Journal of Mental Health and Addiction,10, 563–572.

    Google Scholar 

  • Hopley, A. A. B., & Nicki, R. M. (2010). Predictive factors of excessive online poker playing. Cyberpsychology, Behavior & Social Networking,14, 379–385.

    Google Scholar 

  • Hume, C., Ball, K., & Salmon, J. (2006). Development and reliability of a self-report questionnaire to examine children’s perceptions of the physical activity environment at home and in the neighbourhood. International Journal of Behavioral Nutrition and Physical Activity,3, 16.

    Google Scholar 

  • Jacques, C., Ferland, F., Giroux, I., & Bouchard, C. (1997). Traduction et validation du Questionnaire d’Eysenck (Translation and validation of the Eysenck Questionnaire). Dans Ladouceur, R. Boutin, C., Doucet, C., Lachance, S. et Sylvain, C. (2000). Programme d’évaluation et de traitement des joueurs excessifs (Excessive Player Assessment and Treatment Program). Centre pour la prévention et le traitement du jeu, Université́ Laval.

  • Johansson, A., Grant, J. E., Won Kim, S., Odlaug, B. L., & Götestam, K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies,25, 67–92.

    PubMed  Google Scholar 

  • Jones, B. L., Nagin, D. S., & Roeder, K. (2001). A SAS procedure based on mixture models for estimating developmental trajectories. Sociological Methods & Research,29, 374–393.

    Google Scholar 

  • Kairouz, S., Nadeau, L., & Robillard, C. (2014). Portrait du jeu au Québec: Prévalence, incidence et trajectoires sur quatre ans. Rapport de recherche de l’Enquête ENHJEU. Université de Concordia, Québec.

  • Kairouz, S., Paradis, C., & Monson, E. (2016). Gender, gambling settings and gambling behaviours among undergraduate poker players. International Gambling Studies,16, 85–97.

    Google Scholar 

  • Kairouz, S., Paradis, C., & Nadeau, L. (2012). Are online gamblers more at risk than offline gamblers? Cyberpsychology, Behavior, and Social Networking,15, 175–180.

    Google Scholar 

  • Källmén, H., Andersson, P., & Andren, A. (2008). Are irrational beliefs and depressive mood more common among problem gamblers than non-gamblers? A survey study of swedish problem gamblers and controls. Journal of Gambling Studies,24, 441–450.

    PubMed  Google Scholar 

  • Khazaal, Y., Chatton, A., Bouvard, A., Khiari, H., Achab, S., & Zullino, D. (2013). Internet poker websites and pathological gambling prevention policy. Journal of Gambling Studies,29, 51–59.

    PubMed  Google Scholar 

  • Laakasuo, M., Palomäki, J., & Salmela, M. (2015). Emotional and social factors influence poker decision making accuracy. Journal of Gambling Studies,31, 933–947.

    PubMed  Google Scholar 

  • Ladouceur, R., Jacques, C., Chevalier, S., Sévigny, S., & Hamel, D. (2005). Prevalence of pathological gambling in Quebec in 2002. Canadian Journal of Psychiatry,50, 451–456.

    PubMed  Google Scholar 

  • Ladouceur, R., Shaffer, P., Blaszczynski, A., & Shaffer, H. J. (2017). Responsible gambling: a synthesis of the empirical evidence. Addiction Research & Theory,25, 225–235.

    Google Scholar 

  • LaPlante, D. A., Kleschinsky, J. H., LaBrie, R. A., Nelson, S. E., & Shaffer, H. J. (2009). Sitting at the virtual poker table: A prospective epidemiological study of actual Internet poker gambling behavior. Computers in Human Behavior,25, 711–717.

    Google Scholar 

  • Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction,106, 490–498.

    PubMed  Google Scholar 

  • Luce, C., Nadeau, L., & Kairouz, S. (2016). Pathways and transitions of gamblers over two years. International Gambling Studies,16, 357–372.

    Google Scholar 

  • MacKay, T. L., Bard, N., Bowling, M., & Hodgins, D. C. (2014). Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players. Computers in Human Behavior,31, 419–424.

    Google Scholar 

  • McCormack, A., & Griffiths, M. D. (2012). What differentiates professional poker players from recreational poker players? A qualitative interview study. International Journal of Mental Health and Addiction,10, 243–257.

    Google Scholar 

  • Mitrovic, D. V., & Brown, J. (2009). Poker mania and problem gambling: A study of distorted cognitions, motivation and alexithymia. Journal of Gambling Studies,25, 489–502.

    PubMed  Google Scholar 

  • Momper, S. L., Delva, J., Grogan-Kaylor, A., Sanchez, N., & Volberg, R. A. (2010). The association of at-risk, problem, and pathological gambling with substance use, depression, and arrest history. Journal of Gambling Issues,24, 7–32.

    Google Scholar 

  • Morvannou, A., Dufour, M., Brunelle, N., Berbiche, D., & Roy, É. (2017). One-year prospective study on passion and gambling problems in poker players. Journal of Gambling Studies,34(2), 379–391.

    Google Scholar 

  • Norman, G. R., & Streiner, D. L. (1994). Biostatistics: The bare essentials. St Louis: People’s Medical Publishing House.

    Google Scholar 

  • O’Leary, K., & Carroll, C. (2013). The online poker sub-culture: Dialogues, interactions and networks. Journal of Gambling Studies,29, 613–630.

    PubMed  Google Scholar 

  • Parhami, I., Mojtabai, R., Rosenthal, R. J., Afifi, T. O., & Fong, T. W. (2014). Gambling and the onset of comorbid mental disorders: A longitudinal study evaluating severity and specific symptoms. Journal of psychiatric practice,20, 207–219.

    PubMed  Google Scholar 

  • Quigley, L., Yakovenko, I., Hodgins, D. C., Dobson, K. S., el-Guebaly, N., Casey, D. M., et al. (2015). Comorbid problem gambling and major depression in a community sample. Journal of Gambling Studies,31, 1135–1152.

    PubMed  Google Scholar 

  • Reith, G. (2015). ‘Carrières de jeu’: une étude longitudinale et qualitative des comportements de jeu. Scotland: University of Glasgow.

    Google Scholar 

  • Scholes-Balog, K. E., & Hemphill, S. A. (2012). Relationships between online gambling, mental health, and substance use: A review. Cyberpsychology, Behavior and Social Networking,15, 688–692.

    PubMed  Google Scholar 

  • Sévigny, S., & Ladouceur, R. (2003). Gamblers’ irrational thinking about chance events: The ‘double switching’ concept. International Gambling Studies,3, 149–161.

    Google Scholar 

  • Shead, N. W., Hodgins, D. C., & Scharf, D. (2008). Differences between poker players and non-poker-playing gamblers. International Gambling Studies,8, 167–178.

    Google Scholar 

  • Siler, K. (2010). Social and psychological challenges of poker. Journal of Gambling Studies,26, 401–420.

    PubMed  Google Scholar 

  • Smith, D. P., Battersby, M. W., Pols, R. G., Harvey, P. W., & Baigent, M. F. (2015). Predictors of relapse in problem gambling: A prospective cohort study. Journal of Gambling Studies,31, 299–313.

    PubMed  Google Scholar 

  • Smith, M. D., Rousu, M. C., & Dion, P. (2012). Internet poker: Examining motivations, behaviors, outcomes, and player traits using structural equations analysis. Journal of Gambling Issues,27, 1–23.

    Google Scholar 

  • Svensson, J., & Romild, U. (2011). Incidence of internet gambling in Sweden: Results from the Swedish longitudinal gambling study. International Gambling Studies,11, 357–375.

    Google Scholar 

  • Tremblay, J., Rouillard, P., April, N., & Sirois, M. (2001). Dépistage/évaluation du besoin d’aide-alcool (DEBA-alcool). Ressource document. CRT-ALTO et Régie Régionale de la Santé et des Services Sociaux du Québec. www.risqtoxico.ca. Accessed March 20, 2017.

  • Williams, R. J., Hann, R. G., Schopflocher, D., West, B., McLaughlin, P., White, N., et al. (2015). Quinte longitudinal study of gambling and problem gambling. Research report. Ontario Problem Gambling Research Centre, Ontario.

  • Wohl, M. A., Gainsbury, S., Stewart, M. J., & Sztainert, T. (2013). Facilitating responsible gambling: The relative effectiveness of education-based animation and monetary limit setting pop-up messages among electronic gaming machine players. Journal of Gambling Studies,29, 703–717.

    PubMed  Google Scholar 

  • Wohl, M. J., Davis, C. G., & Hollingshead, S. J. (2017). How much have you won or lost? Personalized behavioral feedback about gambling expenditures regulates play. Computers in Human Behavior,71, 437–445.

    Google Scholar 

  • Wood, R., Williams, R., & Parke, J. (2012). The relationship between Internet gambling and problem gambling. In R. J. Williams, R. T. Wood, & J. Parke (Eds.), The Routledge international handbook of internet gambling (pp. 200–211). London: Routledge.

    Google Scholar 

  • Wood, R. T. A., Griffiths, M. D., & Parke, J. (2007). Acquisition, development, and maintenance of online poker playing in a student sample. CyberPsychology & Behavior,10, 354–361.

    Google Scholar 

  • Zaman, B., Geurden, K., De Cock, R., De Schutter, B., & Van Abeele, V. (2014). Motivation profiles of online poker players and the role of interface preferences: A laddering study among amateur and (semi-) professionals. Computers in Human Behavior,39, 154–164.

    Google Scholar 

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Acknowledgements

The authors would like to thank all participants that collaborated in this study and all members of the research team.

Funding

This study was funded by Fonds de recherche du Québec - Société et Culture (FRQSC) (Grant no. 2012-JU-164313).

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Correspondence to Magali Dufour.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This research received institutional ethical boards approvals of the Lettres et sciences humaines at the Université de Sherbrooke (2012-17/Dufour/) and the Université du Québec à Trois Rivières (CER-12-182-04.04.01).

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Dufour, M., Morvannou, A., Brunelle, N. et al. Gambling Problem Trajectories and Associated Individuals Risk Factors: A Three-Year Follow-Up Study Among Poker Players. J Gambl Stud 36, 355–371 (2020). https://doi.org/10.1007/s10899-019-09831-6

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