Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-22T10:08:14.320Z Has data issue: false hasContentIssue false

18 - The Prevention and Treatment of Gambling Disorders: Some Art, Some Science

from Part IV - Prevention and Treatment

Published online by Cambridge University Press:  13 July 2020

By
Jeffrey L. Derevensky
Edited by
Steve Sussman
Steve Sussman
Affiliation:
University of Southern California
Get access

Summary

The landscape of gambling has dramatically changed. In addition to more and more jurisdictions having casinos, electronic gambling machines, lotteries and sports wagering in close proximity to individuals, online gambling has dramatically increased. Gambling has moved from being a negatively perceived activity associated with sin and vice to its current state of being viewed as a socially acceptable recreational pastime. Upwards of 80 percent of individuals report having gambled for money during their lifetime, and governments throughout the world have come to recognize that regulated forms of gambling can be a significant source of revenue. While the vast majority of individuals have no gambling-related issues, an identifiable proportion of both adults and adolescents experience significant gambling-related problems. In spite of the growing body of research which has identified many of the risk and protective factors associated with excessive problematic gambling, a limited number of prevention and treatment programs exist. This chapter examines current knowledge concerning the efficacy of existing harm minimization prevention programs and treatment of gambling disorders.

Keywords

gambling harm minimizationResponsible Gambling (RG)spending and time limitserroneous cognitionsminimum agetwelve-stepcognitive-behavior therapycognitive therapiesprecommitmentcoping strategies
Type
Chapter
Information
The Cambridge Handbook of Substance and Behavioral Addictions , pp. 241 - 253
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbott, M. (2006). Do EGMs and problem gambling go together like a horse and carriage? Gambling Research, 18(1), 7–38.Google Scholar
Abbott, M., Binde, P., Hodgins, D., et al. (2013). Conceptual framework of harmful gambling: An international collaboration. Report to the Ontario Problem Gambling Research Centre (OPGRC). Guelph, Ontario.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th edition). Washington, DC: American Psychiatric Association.Google Scholar
Argo, J. J. & Main, K. J. (2004). Meta-analyses of the effectiveness of warning labels. Journal of Public Policy & Marketing, 23(2), 193–208.CrossRefGoogle Scholar
Ariyabuddhiphongs, V. (2013). Problem gambling prevention: Before, during, and after measures. International Journal of Mental Health and Addiction, 11(5), 568–582.Google Scholar
Auer, M. & Griffiths, M. D. (2012). Voluntary limit setting and player choice in most intense online gamblers: An empirical study of gambling behaviour. Journal of Gambling Studies, 29(4), 1–14.Google Scholar
Auer, M. & Griffiths, M. D. (2014). Personalised feedback in the promotion of responsible gambling: A brief overview. Responsible Gambling Review, 1(1), 27–36.Google Scholar
Bartley, C. A. & Bloch, M. H. (2013). Meta-analysis: Pharmacological treatment of pathological gambling. Expert Review of Neurotherapeutics, 13(8), 887–894.Google Scholar
Bernhard, B. J., Lucas, A. F. & Jang, D. S. (2006). Responsible gaming device research report. International Gaming Institute, University of Nevada, Las Vegas, pp. 1–56.Google Scholar
Billi, R., Stone, C. A., Marden, P. & Yeung, K. (2014). The Victorian Gambling Study: A Longitudinal Study of Gambling and Health in Victoria, 2008–2012. Victorian Responsible Gambling Foundation.Google Scholar
Binde, P. (2011). What are the most harmful forms of gambling? Analyzing problem gambling prevalence surveys (Center for Public Sector Research), CEFOS Working Paper no. 12. Retrieved from: www.utbildning.gu.se/digitalAssets/1327/1327132_cefos-wp12.pdf.Google Scholar
Blaszczynski, A. (2002). Harm minimization strategies in gambling: An overview of International initiatives and interventions. Report prepared for the Australian Gaming Council.Google Scholar
Blaszczynski, A. & Nower, L. (2002). A pathwaysmodelofproblem and pathological gambling. Addiction, 97(5), 487–499.CrossRefGoogle ScholarPubMed
Blaszczynski, A. & Nower, L. (2014). Cognitive-behavioral therapy: Translating research in clinical practice. In Richard, D C., Blaszczynski, A. & Nower, L. (Eds.), The Wiley-Blackwell Handbook of Disordered Gambling. West Sussex, UK: John Wiley & Sons, pp. 204–224.Google Scholar
Blaszczynski, A., Ladouceur, R. & Nower, L. (2007). Self-exclusion: A proposed gateway to a treatment model. International Gambling Studies, 7(1), 59–71.CrossRefGoogle Scholar
Blaszczynski, A., Ladouceur, R. & Shaffer, H. J. (2004). A science-based framework for responsible gambling: The Reno model. Journal of Gambling Studies, 20(3), 301–317.CrossRefGoogle ScholarPubMed
Blaszczynski, A., Sharpe, L. & Walker, M. (2001). The assessment of the impact of the reconfiguration of electronic gambling machines as harm minimization strategies for problem gambling. Sydney: The University of Sydney Gambling Research Unit.Google Scholar
Blinn-Pike, L., Worthy, S. L. & Jonkman, J. N. (2010). Adolescent gambling: A review of an emerging field of research. Journal of Adolescent Health, 47(3), 223–236.Google Scholar
Bowden-Jones, H. & Prever, F. (2017). Gambling Disorders in Women: An International Perspective on Treatment and Research. New York: Routledge.Google Scholar
Brevers, D., Noel, X., Clark, L., et al. (2016). The impact of precommitment on risk-taking while gambling: A preliminary study. Journal of Behavioral Addictions, 5(1), 51–58.CrossRefGoogle ScholarPubMed
Calado, F., Alexandre, J. & Griffiths, M. D. (2017). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambling Studies, 33(2), 397–424.Google Scholar
Caler, K. R., Garcia, J. R.V. & Nower, L. (2017). Problem gambling among ethnic minorities: Results from an epidemiological study. Asian Journal of Gambling Issues and Public Health, 7(1), 7.CrossRefGoogle ScholarPubMed
Campbell, C., Derevensky, J., Meerkamper, E. & Cutajar, J. (2011). Parents’ perceptions of adolescent gambling: A Canadian national study. Journal of Gambling Issues, 25, 36–53.CrossRefGoogle Scholar
Caraniche Pty Ltd. (2005). Evaluation of electronic gaming machine harm minimization measures in Victoria. Victorian Government Department of Justice. Office of Gaming and Racing.Google Scholar
Castren, S., Temcheff, C., Derevensky, J., et al. (2017). Teacher awareness and attitudes regarding adolescent risk behaviours: A sample of Finnish Middle and High School teachers. International Journal of Mental Health & Addiction, 15(2), 295–311.Google Scholar
Chim, D. (2011). Gambling addiction in Asia: Need for a medical perspective? Asian Journal of Gambling Issues and Public Health, 2, 68–74.CrossRefGoogle Scholar
Choi, S. W., Shin, Y. C., Kim, D. J., et al. (2017). Treatment modalities for patients with gambling disorder. Annals of General Psychiatry, 16(1), 23.Google Scholar
Collins, P. & Kelly, J. (2002). Problem gambling and self-exclusion: A report to the South African Responsible Gambling Trust. Gaming Law Review, 6(6), 517–531.CrossRefGoogle Scholar
Cowlishaw, S. & Hakes, J. K. (2015). Pathological and problem gambling in substance use treatment: Results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). The American Journal on Addictions, 24(5), 467–474.CrossRefGoogle ScholarPubMed
Cloutier, M., Ladouceur, R. & Sévigny, S. (2006). Responsible gambling tools: Pop-up messages and pauses on video lottery terminals. The Journal of Psychology, 140(5), 434–438.Google Scholar
Croucher, J. & Leslie, J. (2007).Self-exclusion programs for problem gamblers in Australia. Journal of the Academy of Business and Economics, 5, 61–66.Google Scholar
Davidson, T. & Rodgers, B. (2010). 2009 Survey of the nature and extent of gambling, and problem gambling, in the Australian Capital Territory.Google Scholar
Delfabbro, P. (2004). The stubborn logic of regular gamblers: Obstacles and dilemmas in cognitive gambling research. Journal of Gambling Studies, 20(1), 1–21.Google Scholar
Delfabbro, P., Borgas, M. & King, D. (2012). Venue staff knowledge of their patrons’ gambling and problem gambling. Journal of Gambling Studies, 28, 155–169.Google Scholar
Delfabbro, P., Osborne, A., Nevile, M., Skelt, L. & McMillen, J. (2007). Identifying problem gamblers in gambling venues. Final report prepared for Gambling Research Australia.Google Scholar
Derevensky, J. (2012). Teen Gambling: Understanding a Growing Epidemic. New York: Rowman & Littlefield Publishing.Google Scholar
Derevensky, J. (2017). Annual Treatment Report for Problem Gambling in Florida. Report prepared for the Florida Council on Compulsive Gambling, 27 pages.Google Scholar
Derevensky, J. & Gilbeau, L. (2017). Adolescent gambling: Another risky behavior. In Evans, D L., Foa, E.B., Gur, R.E., et al. (Eds.) Treating and Preventing Adolescent Mental Health Disorders: What We Know and What We Don’t Know. A Research Agenda for Improving the Mental Health of our Youth (2nd edition). New York: Oxford University Press, pp. 571–584.Google Scholar
Derevensky, J. & Gilbeau, L. (2019). Preventing adolescent gambling problems. In Heinz, A., Romanczuk-Seiferth, N. & Potenza, M. (Eds.), Gambling Disorders. Berlin: Springer International, pp. 297–311.Google Scholar
Derevensky, J. & Gupta, R. (2011). Youth gambling prevention initiatives: A decade of research. In Derevensky, J., Shek, D. & Merrick, J. (Eds.), Youth Gambling Problems: The Hidden Addiction. Berlin: De Gruyter, pp. 213–230.Google Scholar
Derevensky, J., St-Pierre, R., Walker, D. & Gupta, R. (2013). Availability and accessibility of gambling venues: An examination of the literature concerning: How these impact problem gambling. Final report to Mise Sur Toi, 42 pages.Google Scholar
Dickerson, M. G., Cunningham, R., Legg England, S. & Hinchey, J. (1991). On the determinants of persistent gambling behaviour III: Personality prior mood and poker machine playing. International Journal of Addictions, 26, 531–548.Google Scholar
Dickson, L., Derevensky, J. & Gupta, R. (2004). Youth gambling problems: A harm reduction prevention model. Addiction Research & Theory, 12, 305–316.Google Scholar
Dowling, N. A., Cowlishaw, S., Jackson, A. C., et al. (2015). The prevalence of comorbid personality disorders in treatment-seeking problem gamblers: A systematic review and meta-analysis. Journal of Personality Disorders, 29(6), 735–754.CrossRefGoogle ScholarPubMed
Dowling, N., Smith, D. & Thomas, T. (2005). Electronic gaming machines: Are they the ‘crack‐cocaine’ of gambling? Addiction, 100(1), 33–45.Google Scholar
Ferentzy, P., Skinner, W. & Antze, P. (2014). Understanding Gamblers Anonymous – A practitioner's guide. In Richard, D. C., Blaszczynski, A. & Nower, L. (Eds.), The Wiley‐Blackwell Handbook of Disordered Gambling. West Sussex, UK: John Wiley & Sons, pp. 251–262.Google Scholar
Focal Research (2002). Atlantic Lottery Corporation video lottery responsible gaming feature research. Final report. Nova Scotia: Focal Research Consultants Ltd.Google Scholar
Gainsbury, S. (2012). Internet Gambling: Current Research Findings and Implications. New York: Springer.CrossRefGoogle Scholar
Gainsbury, S. (2014). Internet gaming and disordered gambling. In Richard, D. C., Blaszczynski, A. and Nower, L. (Eds.), The Wiley‐Blackwell Handbook of Disordered Gambling. West Sussex, UK: John Wiley & Sons, pp. 361–385.Google Scholar
Gainsbury, S. & Blaszczynski, A. (2012). Harm minimization: Gambling. In Pates, R. & Riley, D. (Eds.), Harm Reduction in Substance Use and High Risk Behaviour. Oxford: Wiley-Blackwell.Google Scholar
Gainsbury, S. & Wood, R. (2011). Internet gambling policy in critical comparative perspective: The effectiveness of existing regulatory frameworks. International Gambling Studies, 11(3), 309–323.CrossRefGoogle Scholar
Gainsbury, S. M., Blankers, M., Wilkinson, C., Schelleman-Offermans, K. & Cousijn, J. (2014a). Recommendations for international gambling harm-minimisation guidelines: Comparison with effective public health policy. Journal of Gambling Studies, 30(4), 771–788.CrossRefGoogle ScholarPubMed
Gainsbury, S. M., Russell, A., Hing, N., et al. (2014b). The prevalence and determinants of problem gambling in Australia: Assessing the impact of interactive gambling and new technologies. Psychology of Addictive Behaviors, 28(3), 769.Google Scholar
Grant, J. E., Donahue, C. B., Odlaug, B. L., et al. (2009). Imaginal desensitisation plus motivational interviewing for pathological gambling: Randomised controlled trial. The British Journal of Psychiatry, 195(3), 266–267.CrossRefGoogle ScholarPubMed
Grant, J. E., Levine, L., Kim, D. & Potenza, M. N. (2005). Impulse control disorders in adult psychiatric inpatients. American Journal of Psychiatry, 162(11), 2184–2188.CrossRefGoogle ScholarPubMed
Griffiths, M. (1990). Addiction of fruit machines: A preliminary study among males. Journal of Gambling Studies, 6, 113–126.CrossRefGoogle ScholarPubMed
Griffiths, M. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies, 9(2), 101–120.CrossRefGoogle Scholar
Griffiths, M. (1999). Gambling technologies: Prospects for problem gambling. Journal of Gambling Studies, 15(3), 265–283.CrossRefGoogle ScholarPubMed
Griffiths, M. (2013). Behavioral tracking in gambling: New empirical data and the development of a new social responsibility tool. Presentation at the Discovery Conference, Toronto, April.Google Scholar
Griffiths, M. D. (2020). Feedback models for gambling control: The use and efficacy of online responsible gambling tools. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 333–340Google Scholar
Griffiths, M., Parke, J. & Derevensky, J. (2012). Structural and situational characteristics in slot machine gambling. Report prepared for Assissa Consultancy.Google Scholar
Gupta, R. & Derevensky, J. (2008). A treatment approach for adolescents with gambling problems. In Zangeneh, M., Blaszczynski, A. & Turner, N. (Eds.), In the Pursuit of Winning: Problem Gambling Theory, Research and Treatment. New York: Springer Books, pp. 271–290.Google Scholar
Hancock, L., Schellinck, T. & Schrans, T. (2008). Gambling and corporate social responsibility (CSR): Re-defining industry and state roles on duty of care, host responsibility and risk management. Policy and Society, 27(1), 55–68.Google Scholar
Hardoon, K., Derevensky, J. & Gupta, R. (2003). Empirical measures vs. perceived gambling severity among youth: Why adolescent problem gamblers fail to seek treatment. Addictive Behaviors, 28(5), 933–946.CrossRefGoogle ScholarPubMed
Harris, A. & Griffiths, M. D. (2017). A critical review of the harm-minimisation tools available for electronic gambling. Journal of Gambling Studies, 33(1), 187–221.CrossRefGoogle ScholarPubMed
Hayer, T., Kalke, J., Buth, S. & Meyer, G. (2013). Die Früherkennung von Problemspielerinnen und Problemspielern in Spielhallen: Entwicklung und Validierung eines Screening-Instrumentes Abschlussbericht an die Behörde für Gesundheit und Verbraucherschutz, Hamburg. Bremen.Google Scholar
Helfinstein, S. M., Schonberg, T., Congdon, E., et al. (2014). Predicting risky choices from brain activity patterns. Proceedings of the National Academy of Sciences, 111(7), 2470–2475.CrossRefGoogle ScholarPubMed
Himelhoch, S. S., Miles-McLean, H., Medoff, D., et al. (2016). Twelve-Month Prevalence of DSM-5 gambling disorder and associated gambling behaviors among those receiving methadone maintenance. Journal of Gambling Studies, 32(1), 1–10.Google Scholar
Hodgins, D. C., Ching, L. E. & McEwen, J. (2009). Strength of commitment language in motivational interviewing and gambling outcomes. Psychology of Addictive Behaviors, 23(1), 122–130.Google Scholar
Hodgins, D. C., Stea, J. N. & Grant, J. E. (2011). Gambling disorders. The Lancet, 378(9806), 1874–1884.Google Scholar
Hing, N. (2003). An assessment of member awareness, perceived adequacy and perceived effectiveness of responsible gambling strategies in Sydney clubs. Retrieved from www.dgr.nsw.gov.au.Google Scholar
Johansson, A., Grant, J., Kim, S., Odlaug, B. & Götestam, K. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies, 25(1), 67–92.Google Scholar
Kessler, R., Hwang, I., LaBrie, R., et al. (2008). DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychological Medicine, 38(9), 1351–1360.Google Scholar
Kim, H. S., Wohl, M. J., Stewart, M. J., Sztainert, T. & Gainsbury, S. M. (2014). Limit your time, gamble responsibly: Setting a time limit (via pop-up message) on an electronic gaming machine reduces time on device. International Gambling Studies, 14, 266–278.Google Scholar
Ladouceur, R. (2005). Controlled gambling for pathological gamblers. Journal of Gambling Studies, 21, 49–57.Google Scholar
Ladouceur, R. & Sévigny, S. (2006). The impact of video lottery game speed on gamblers. Journal of Gambling Issues, 17. doi:10.4309/jgi.2006.17.12Google Scholar
Ladouceur, R. & Sévigny, S. (2009). Electronic gambling machines: Influence of a clock, a cash display, and a pre-commitment on gambling time. Journal of Gambling Issues, 23, 31–41.CrossRefGoogle Scholar
Ladouceur, R., Blaszczynski, A. & Lalande, D. R. (2012). Pre-commitment in gambling: A review of the empirical evidence. International Gambling Studies, 12(2), 215–230.Google Scholar
Ladouceur, R., Blaszczynski, A., Shaffer, H. J. & Fong, D. (2016). Extending the Reno model: Responsible gambling evaluation guidelines for gambling operators, public policymakers, and regulators. Gaming Law Review and Economics, 20(7), 580–586.Google Scholar
Ladouceur, R., Goulet, A. & Vitaro, F. (2013). Prevention programs for youth gambling: A review of the empirical evidence. International Gambling Studies, 13(2), 141–159.Google Scholar
Ladouceur, R., Jacques, C., Giroux, I., Ferland, F. & Leblond, J. (2000). Brief communications: Analysis of a casino's self-exclusion program. Journal of Gambling Studies, 16(4), 453–460.CrossRefGoogle Scholar
Ladouceur, R., Sylvain, C., Letarte, H., Giroux, I. & Jacques, C. (1998). Cognitive treatment for pathological gamblers. Behavior Research and Therapy, 36, 1111–1119.Google Scholar
Loba, P., Stewart, S., Klein, R. & Blackburn, J. (2001). Manipulations of the features of standard video lottery terminal (VLT) games: Effects in pathological and non-pathological gamblers. Journal of Gambling Studies, 17(4), 297–320.Google Scholar
Loo, J. M. Y., Raylu, N. & Oei, T. P. S. (2008). Gambling among the Chinese: A comprehensive review. Clinical Psychology Review, 28, 1152–1166.CrossRefGoogle ScholarPubMed
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(3), 490–498.Google Scholar
Lupi, M., Martinotti, G., Acciavatti, T., et al. (2014). Pharmacological treatments in gambling disorder: A qualitative review. BioMed Research International, 2014, 1–7.Google Scholar
Marchica, L. & Derevensky, J. (2016). Fantasy sports: A growing concern among college student-athletes. International Journal of Mental Health & Addiction, 14, 635–645.Google Scholar
McConaghy, N. (1988). Assessment and management of pathological gambling. British Journal of Hospital Medicine, 40, 131–134.Google Scholar
McMillen, J. & Pitt, S. (2005). Review of the ACT Government’s Harm Minimization Measures. Canberra: Australian Centre for Gambling Research.Google Scholar
Meyer, G. & Bachmann, M. (2011). Spielsucht. Ursachen, Therapie und Prävention von glücksspielbezogenem Suchtverhalten. Heidelberg.Google Scholar
Meyer, G. & Hayer, T. (2010). Problematisches und pathologisches Spielverhalten bei Glücksspielen. Epidemiologie und Prävention. Bundesgesundheitsblatt, 5, 295–305.Google Scholar
Meyer, G., Hayer, T. & Griffiths, M. (Eds.) (2009). Problem Gambling in Europe: Challenges, Prevention, and Interventions. New York: Springer Science & Business Media.Google Scholar
Miller, W. & Rollick, S. (2002). Motivational Interviewing: Preparing People for Change. New York: Guilford Press.Google Scholar
Monaghan, S. & Blaszczynski, A. (2010). Electronic gaming machine warning messages: Information versus self-evaluation. Journal of Psychology, 144(1), 83–96.Google Scholar
Monaghan, S., Blaszczynski, A. & Nower, L. (2009). Do warning signs on electronic gaming machines influence irrational cognitions? Psychological Reports, 105(1), 173–187.Google Scholar
Neighbors, C., Rodriguez, L. M., Rinker, D. V., et al. (2013). Efficacy of personalized normative feedback as a brief intervention for college student gambling: A randomized controlled trial. Paper presented at the National Center for Responsible Gaming annual conference, Las Vegas.Google Scholar
Nowak, D. (2018). A meta-analytical synthesis and examination of pathological and problem gambling rates and associated moderators among college students, 1987–2016. Journal of Gambling Studies, 34, 465–498.Google Scholar
O’Neill, K. (2017). Motivational Interviewing for problem gambling. In McIntosh, C. & O’Neill, K. (Eds.) Evidence-Based Treatments for Problem Gambling. Cham, Switzerland: Springer, pp. 19–25.CrossRefGoogle Scholar
Parke, J. & Griffiths, M. (2007).The role of structural characteristics in gambling. In. Smith, G., Hodgins, D. C. & Williams, R. J. (Eds.), Research and Measurement Issues in Gambling Studies. Amsterdam: Elsevier.Google Scholar
Parke, J. & Parke, A. (2013). Does size really matter? A review of the role of stake and prize levels in relation to gambling-related harm. The Journal of Gambling Business and Economics, 7(3), 77–110.CrossRefGoogle Scholar
Petry, N. (2005). Pathological Gambling: Etiology, Comorbidity, and Treatment. Washington, DC: American Psychiatric Publishing.Google Scholar
Petry, N. M., Stinson, F. S. & Grant, B. F. (2005). Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. The Journal of Clinical Psychiatry, 66(5), 564–574.Google Scholar
Potenza, M., Balodis, I., Derevensky, J., et al. (2019). Gambling disorder. Nature Reviews Disease Primers, 5(1), 51.Google Scholar
Productivity Commission (1999). Gambling Productivity Commission Inquiry Report. Australian Government.Google Scholar
Productivity Commission (2010). Gambling Productivity Commission Inquiry Report. Australian Government.Google Scholar
Rash, C. J. & Petry, N. M. (2014). Psychological treatments for gambling disorder. Psychology Research and Behavior Management, 7, 285–295.Google Scholar
Raylu, N. & Oei, T. (2002). Pathological gambling: A comprehensive review. Clinical Psychology Review, 22(7), 1009–1061.Google Scholar
Raylu, N. & Oei, T. (2004). Role of culture in gambling and problem gambling. Clinical Psychology Review, 23(8), 1087–1114.CrossRefGoogle ScholarPubMed
Richard, D. C., Blaszczynski, A. & Nower, L. (Eds.) (2014). The Wiley-Blackwell Handbook of Disordered Gambling. John Wiley & Sons.Google Scholar
Robillard, C. (2017). Responsible Gambling Programs and Tools. Report prepared for Gambling Research Exchange Ontario (GREO).Google Scholar
Romild, U., Volberg, R. & Abbott, M. (2014). The Swedish Longitudinal Gambling Study (Swelogs): Design and methods of the epidemiological (EP) track. International Journal of Methods in Psychiatric Research, 23(3), 372–386.Google Scholar
Sansanwal, R. M., Derevensky, J. & Gavriel-Fried, B. (2016). What mental health professionals in Israel know and think about adolescent problem gambling. International Gambling Studies, 16, 67–84.Google Scholar
Sansanwal, R. M., Derevensky, J., Lupu, I. R. & Lupu, V. (2015). Knowledge and attitudes regarding adolescent problem gambling: A cross-cultural comparative analysis of Romanian and Canadian teachers. International Journal of Mental Health and Addiction, 13, 33–48.Google Scholar
Schellinck, T. & Schrans, T. (2007). VLT player tracking system: Nova Scotia Gaming Corporation Responsible Gaming Research device project. Nova Scotia, Canada: Focal Research, 104 pages.Google Scholar
Schellinck, T. & Schrans, T. (2011). Intelligent design: How to model gambler risk assessment by using loyalty tracking data. Journal of Gambling Issues, 26, 51–68.Google Scholar
Schottler Consulting (2009). Impact of changes to EGM characteristics on play behaviour of recreational gamblers. Report prepared for the Department of Justice (Victoria).Google Scholar
Schottler Consulting (2010). Major findings and implications: Player tracking and pre-commitment trial. A program and outcome evaluation of the PlaySmart pre-commitment system. Brisbane, Australia.Google Scholar
Schull, N. (2014). Addiction by Design: Machine Gambling in Las Vegas. New Jersey: Princeton University Press.Google Scholar
Schwartz, D. G. (2006). Roll the Bones: The History of Gambling. New York: Gotham Books.Google Scholar
Shaffer, H. J., Ladouceur, R., Blaszczynski, A. & Whyte, K. (2016). Extending the RENO model: Clinical and ethical applications. American Journal of Orthopsychiatry, 86(3), 297.Google Scholar
Slutske, W. S. (2006). Natural recovery and treatment-seeking in pathological gambling: Results of two U.S. national surveys. American Journal of Psychiatry, 163, 297–302.Google Scholar
Stewart, M. J. & Wohl, M. (2013). Pop-up messages, dissociation, and craving: How monetary limit reminders facilitate adherence in a session of slot machine gambling. Psychology of Addictive Behaviors, 27(1), 268–273.Google Scholar
Temcheff, C., Derevensky, J., St-Pierre, R, Gupta, R. & Martin, I. (2014). Beliefs and attitudes of mental health professionals with respect to gambling and other high risk behaviors in schools. International Journal of Mental Health and Addiction, 12, 716–729.Google Scholar
Thomas, A., Pfeifer, J., Moore, S., et al. (2013). Evaluation of the removal of ATMs from gaming venues in Victoria, Australia. Final Report to the Department of Justice, Victoria, Australia.Google Scholar
Toyama, T., Nakayama, H., Takimura, T., et al. (2014). SY17-4 prevalence of pathological gambling in Japan: Results of national surveys of the general adult population in 2008 and 2013. Alcohol and Alcoholism, 49(Issue Supplement 1), i17.Google Scholar
Tse, S., Yu, A., Rossen, F. & Wang, C.-W. (2010). Examination of Chinese gambling problems through a socio-historical-cultural perspective. The Scientific World Journal, 10, 1694–1704.CrossRefGoogle ScholarPubMed
Turner, N. E., Macdonald, J. & Somerset, M. (2008). Life skills, mathematical reasoning and critical thinking: A curriculum for the prevention of problem gambling. Journal of Gambling Studies, 24(3), 367–380.Google Scholar
Volberg, R. A. (2004). Fifteen years of prevalence research: What do we know? Where do we go? Journal of Gambling Issues, 10, 1–19.Google Scholar
Volberg, R. (2007). Population surveys. In Smith, G., Hodgins, D. & Williams, R. (Eds). Research and Measurement Issues in Gambling Studies. Burlington, MA: Elsevier, pp. 33–55.Google Scholar
Volberg, R. A., Gupta, R., Griffiths, M. D., Olason, D. T. & Delfabbro, P. (2010). An international perspective on youth gambling prevalence studies. International Journal of Adolescent Medicine and Health, 22(1), 3–38.Google Scholar
Wardle, H. & Dobbie, F. (2011). Betfair self-exclusion project: Understanding the profile of self-excluders. Report prepared for Betfair.Google Scholar
Wardle, H., Keily, R., Astbury, G. & Reith, G. (2014). ‘Risky places?’: Mapping gambling machine density and socio-economic deprivation. Journal of Gambling Studies, 30(1), 201–212.Google Scholar
Welte, J. W., Wieczorek, W. F., Barnes, G. M. & Tidwell, M. C. (2006). Multiple risk factors for frequent and problem gambling: Individual, social ecological. Journal of Applied Social Psychology, 36, 1548–1568.Google Scholar
White, M., Mun, P., Kauffman, N., et al. (2006). Electronic gaming machines and problem gambling. Report prepared for the Saskatchewan Liquor and Gaming Authority by the Responsible Gambling Council.Google Scholar
Williams, R. J., Hann, R. G., Schopflocher, D. P., et al. (2015). Quinte Longitudinal Study of Gambling and Problem Gambling. Ontario Problem Gambling Research Centre.Google Scholar
Williams, R., West, B. & Simpson, R. (2007). Prevention of problem gambling: A comprehensive review of the evidence. Report prepared for the Ontario Problem Gambling Research Centre, Guelph, Ontario.Google Scholar
Williams, R. J., West, B. L. & Simpson, R. I. (2012). Prevention of Problem Gambling: A Comprehensive Review of the Evidence, and Identified Best Practices. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care.Google Scholar
Wohl, M., Christie, K., Matheson, K. & Anisman, H. (2010). Animation-based education as a gambling prevention tool: Correcting erroneous cognitions and reducing the frequency of exceeding limits among slots players. Journal of Gambling Studies, 26(3), 469–486.Google Scholar
Wood, R. & Williams, R. (2007). Problem gambling on the internet: Implications for internet gambling policy in North America. New Media & Society, 9(3), 520–542.Google Scholar
Wood, R. T., Shorter, G. W. & Griffiths, M. D. (2014a). Selecting the right responsible gambling features, according to the specific portfolio of games. Responsible Gambling Review, 1(1), 51–63.Google Scholar
Wood, R. T., Shorter, G. W. & Griffiths, M. D. (2014b). Rating the suitability of responsible gambling features for specific game types: A resource for optimizing responsible gambling strategy. International Journal of Mental Health and Addiction, 12(1), 94–112.Google Scholar
Yakovenko, I. & Hodgins, D. C. (2018). A scoping review of co-morbidity in individuals with disordered gambling. International Gambling Studies, 18(1), 143–172.Google Scholar
Yakovenko, I., Quigley, L., Hemmelgarn, B. R., Hodgins, D. C. & Ronksley, P. (2015). The efficacy of motivational interviewing for disordered gambling: Systematic review and meta-analysis. Addictive Behaviors, 43, 72-82.Google Scholar
Yip, S. W. & Potenza, M. N. (2014). Treatment of gambling disorders. Current Treatment Options in Psychiatry, 1(2), 189–203.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×