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“It was terrible. I didn’t set a limit”: Proximal and Distal Prevention Strategies for Reducing the Risk of a Bust in Gambling Venues

  • Simone N. RoddaEmail author
  • Kathleen L. Bagot
  • Victoria Manning
  • Dan I. Lubman
Original Paper

Abstract

Although most gamblers set limits on their gambling and stick to them most of the time, there are times when limits are breached (a ‘bust’). Little is known about the prevalence, reasons for and strategies to address busts despite associated harms with a single bust. This mixed methods study used an online survey with a sample of electronic gaming machine gamblers. A total of 104 gamblers were recruited from 11 Australian gambling venues and almost half (45%) reported a bust in the past 12 months. The amount of money spent on the bust ranged from $20 to $1500 AUD (M = $446, SD = $402). The presence of a bust was positively associated with the amount of money spent in the past 30 days, and self-reported greater gambling related harms and greater gambling severity. Reasons for busts included both distal (pre-venue) factors (i.e., negative affect, lapse in intentions to set a limit, needing to win money) and proximal (inside venue) factors (i.e., chasing losses, wins or spins, social facilitation and losing money too quickly). Bust-prevention strategies identified by participants were both distal (e.g., avoid gambling altogether, leave cards or cash at home, set a time or money limit) and proximal (e.g., walk away when losing and change the manner of gambling). As busts are relative to a priori limits, gamblers at any level of gambling severity can experience a bust. Repeated busts may be an indicator of loss of control and a progression towards problem gambling. Interventions need to focus on factors that mitigate the risk of a bust (e.g., pre-commitment) and that assist gamblers to stick to their limits all of the time.

Keywords

Prevention Lapse Relapse Recovery Change strategies Limit setting 

Notes

Acknowledgements

This research was conducted with funding from the Responsible Gambling Foundation. We would like to thank gambling venues and their managers for allowing us to access their venues for participant recruitment. We would also like to acknowledge the research assistants who were involved in participant interviews.

Author’s Contributions

All authors designed the study and wrote the protocol. SNR conducted the data analysis. SNR wrote the first draft of the manuscript and all authors contributed to and have approved the final manuscript.

Funding

Funding for this study was by the Victorian Responsible Gambling Foundation, Australia. VRGF had no role in the study design, collection, analysis or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication.

Compliance with Ethical Standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical Approval

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.

References

  1. Baumeister, R. F., & Heatherton, T. F. (1996). Self-regulation failure: An overview. Psychological Inquiry, 7(1), 1–15.CrossRefGoogle Scholar
  2. Blaszczynski, A., Ladouceur, R., & Moodie, C. (2008). The Sydney Laval universities gambling screen: Preliminary data. Addiction Research & Theory, 16(4), 401–411.CrossRefGoogle Scholar
  3. Blaszczynski, A., McConaghy, N., & Frankova, A. (1991). A comparison of relapsed and non-relapsed abstinent pathological gamblers following behavioural treatment. British Journal of Addiction, 86(11), 1485–1489.CrossRefGoogle Scholar
  4. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77–101.CrossRefGoogle Scholar
  5. Browne, M., Goodwin, B. C., & Rockloff, M. J. (2018). Validation of the Short Gambling Harm Screen (SGHS): A tool for assessment of harms from gambling. Journal of Gambling Studies, 34(2), 499–512.CrossRefGoogle Scholar
  6. Cowlishaw, S., Merkouris, S., Dowling, N., Rodda, S. N., Suomi, A., & Thomas, S. (2018). Locating gambling problems across a continuum of severity: Rasch analysis of the Quinte Longitudinal Study (QLS). Addictive Behaviors, 92, 32–37.  https://doi.org/10.1016/j.addbeh.2018.12.016.CrossRefGoogle Scholar
  7. Currie, S. R., Hodgins, D. C., Wang, J., el-Guebaly, N., Wynne, H., & Miller, N. V. (2008). Replication of low-risk gambling limits using Canadian provincial gambling prevalence data. Journal of Gambling Studies, 24(3), 321–335.CrossRefGoogle Scholar
  8. Dowling, N. A., Merkouris, S. S., Manning, V., Volberg, R., Lee, S. J., Rodda, S. N., et al. (2018). Screening for problem gambling within mental health services: a comparison of the classification accuracy of brief instruments. Addiction, 113(6), 1088–1104.CrossRefGoogle Scholar
  9. Dowling, N. A., Youssef, G., Greenwood, C., Merkouris, S., Suomi, A., & Room, R. (2017). The development of empirically derived Australian responsible gambling limit. Melbourne: Victorian Responsible Gambling Foundation.Google Scholar
  10. el-Guebaly, N., Casey, D. M., Currie, S. R., Hodgins, D. C., Schopflocher, D. P., Smith, G. J., et al. (2015a). The leisure, lifestyle, & lifecycle project (LLLP): A longitudinal study of gambling in Alberta. Final Report for the Alberta Gambling Research Institute. Accessed 1 July 2018.Google Scholar
  11. el-Guebaly, N., Casey, D. M., Currie, S. R., Hodgins, D. C., Schopflocher, D. P., Smith, G. J., et al. (2015b). The leisure, lifestyle, & lifecycle project (LLLP): A longitudinal study of gambling in Alberta. Final Report for the Alberta Gambling Research Institute. Canada: Alberta Gambling Research Institute.Google Scholar
  12. Ferris, J. A., & Wynne, H. J. (2001). The Canadian problem gambling index: User manual. Toronto, ON: Canadian Centre on Substance Abuse.Google Scholar
  13. Hing, N., Cherney, L., Gainsbury, S. M., Lubman, D. I., Wood, R. T., & Blaszczynski, A. (2015). Maintaining and losing control during Internet gambling: A qualitative study of gamblers’ experiences. New Media & Society, 17(7), 1075–1095.CrossRefGoogle Scholar
  14. Hodgins, D. C., & el-Guebaly, N. (2000). Natural and treatment-assisted recovery from gambling problems: A comparison of resolved and active gamblers. Addiction, 95(5), 777–789.CrossRefGoogle Scholar
  15. Hodgins, D. C., & el-Guebaly, N. (2004). Retrospective and prospective reports of precipitants to relapse in pathological gambling. Journal of Consulting and Clinical Psychology, 72(1), 72.CrossRefGoogle Scholar
  16. Johansson, A., Grant, J. E., Kim, S. W., Odlaug, B. L., & Götestam, K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies, 25(1), 67–92.CrossRefGoogle Scholar
  17. Ladouceur, R., Shaffer, P., Blaszczynski, A., & Shaffer, H. J. (2017). Responsible gambling: a synthesis of the empirical evidence. Addiction Research & Theory, 25(3), 225–235.CrossRefGoogle Scholar
  18. Lalande, D. R., & Ladouceur, R. (2011). Can cybernetics inspire gambling research? A limit-based conceptualization of self-control. International Gambling Studies, 11(2), 237–252.CrossRefGoogle Scholar
  19. Langham, E., Thorne, H., Browne, M., Donaldson, P., Rose, J., & Rockloff, M. (2015). Understanding gambling related harm: A proposed definition, conceptual framework, and taxonomy of harms. BMC Public Health, 16(1), 80.CrossRefGoogle Scholar
  20. Marlatt, G. A., & Donovan, D. M. (2005). Relapse prevention: Maintenance strategies in the treatment of addictive behaviors. New York: Guilford Press.Google Scholar
  21. Marlatt, G. A., & George, W. H. (1984). Relapse prevention: Introduction and overview of the model. British Journal of Addiction, 79(4), 261–273.CrossRefGoogle Scholar
  22. McKay, J. R., Franklin, T. R., Patapis, N., & Lynch, K. G. (2006). Conceptual, methodological, and analytical issues in the study of relapse. Clinical Psychology Review, 26(2), 109–127.CrossRefGoogle Scholar
  23. Nower, L., & Blaszczynski, A. (2010). Gambling motivations, money-limiting strategies, and precommitment preferences of problem versus non-problem gamblers. Journal of Gambling Studies, 26(3), 361–372.CrossRefGoogle Scholar
  24. Oakes, J., Pols, R., Battersby, M., Lawn, S., Pulvirenti, M., & Smith, D. (2012a). A focus group study of predictors of relapse in electronic gaming machine problem gambling, part 1: Factors that ‘push’towards relapse. Journal of Gambling Studies, 28(3), 451–464.CrossRefGoogle Scholar
  25. Oakes, J., Pols, R., Battersby, M., Lawn, S., Pulvirenti, M., & Smith, D. (2012b). A focus group study of predictors of relapse in electronic gaming machine problem gambling, part 2: Factors that ‘pull’ the gambler away from relapse. Journal of Gambling Studies, 28(3), 465–479.CrossRefGoogle Scholar
  26. Productivity Commission. (2010). Gambling. Canberra: Productivity Commission.Google Scholar
  27. Reith, G., & Dobbie, F. (2013). Gambling careers: A longitudinal, qualitative study of gambling behaviour. Addiction Research & Theory, 21(5), 376–390.CrossRefGoogle Scholar
  28. Rodda, S. N., Bagot, K., Cheetham, A., Hodgins, D. C., Hing, N., & Lubman, D. I. (2018a). Types of change strategies for limiting or reducing gambling behaviours and their perceived helpfulness: A factor analysis. Psychology of Addictive Behaviors, 32(6), 679–688.  https://doi.org/10.1037/adb0000393.CrossRefGoogle Scholar
  29. Rodda, S. N., Bagot, K., Manning, V., & Lubman, D. I. (2018b). “Only take the money you want to lose” Strategies for sticking to limits in electronic gaming machine venues (Unpublished manuscript). Melbourne, Australia.Google Scholar
  30. Rodda, S. N., Hing, N., Hodgins, D. C., Cheetham, A., Dickins, M., & Lubman, D. I. (2018c). Behaviour change strategies for problem gambling: an analysis of online posts. International Gambling Studies, 18(3), 420–438.  https://doi.org/10.1080/14459795.2018.1432670.Google Scholar
  31. Smith, D. P., Battersby, M. W., Pols, R. G., Harvey, P. W., Oakes, J. E., & Baigent, M. F. (2015). Predictors of relapse in problem gambling: A prospective cohort study. Journal of Gambling Studies, 31(1), 299–313.CrossRefGoogle Scholar
  32. Thomas, A. C., Allen, F. C., & Phillips, J. (2009). Electronic gaming machine gambling: Measuring motivation. Journal of Gambling Studies, 25(3), 343–355.CrossRefGoogle Scholar
  33. Weinstock, J., Whelan, J. P., & Meyers, A. W. (2004). Behavioral assessment of gambling: an application of the timeline followback method. Psychological Assessment, 16(1), 72–80.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Medical and Health Sciences, School of Population HealthThe University of AucklandAucklandNew Zealand
  2. 2.Turning Point, Eastern HealthRichmondAustralia
  3. 3.The Florey Institute of Neuroscience and Mental Health, Melbourne Brain CentreUniversity of MelbourneHeidelbergAustralia
  4. 4.Faculty of Medicine, Nursing and Health Sciences, Eastern Health Clinical SchoolMonash UniversityBox HillAustralia

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