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Journal of Gambling Studies

, Volume 25, Issue 2, pp 239–252 | Cite as

How Do Gamblers End Gambling: Longitudinal Analysis of Internet Gambling Behaviors Prior to Account Closure Due to Gambling Related Problems

  • Ziming Xuan
  • Howard Shaffer
Original Paper

Abstract

Objective: To examine behavioral patterns of actual Internet gamblers who experienced gambling-related problems and voluntarily closed their accounts. Design: A nested case–control design was used to compare gamblers who closed their accounts because of gambling problems to those who maintained open accounts. Setting: Actual play patterns of in vivo Internet gamblers who subscribed to an Internet gambling site. Participants: 226 gamblers who closed accounts due to gambling problems were selected from a cohort of 47,603 Internet gamblers who subscribed to an Internet gambling site during February 2005; 226 matched-case controls were selected from the group of gamblers who did not close their accounts. Daily aggregates of behavioral data were collected during an 18-month study period. Main outcome measures: Main outcomes of interest were daily aggregates of stake, odds, and net loss, which were standardized by the daily aggregate number of bets. We also examined the number of bets to measure trajectory of gambling frequency. Results: Account closers due to gambling problems experienced increasing monetary loss as the time to closure approached; they also increased their stake per bet. Yet they did not chase longer odds; their choices of wagers were more probabilistically conservative (i.e., short odds) compared with the controls. The changes of monetary involvement and risk preference occurred concurrently during the last few days prior to voluntary closing. Conclusions: Our finding of an involvement-seeking yet risk-averse tendency among self-identified problem gamblers challenges the notion that problem gamblers seek “long odds” during “chasing.”

Keywords

Pathological gambling Chasing Longitudinal analysis Gambling addiction Sports betting 

Notes

Acknowledgements

The authors extend special thanks to Richard LaBrie, James Ware, Debi LaPlante, Sarah Nelson, Anja Broda, and Chrissy Thurmond for their important contributions to this project. Ziming Xuan had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

bwin.com, Interactive Entertainment, AG provided primary support for this study. The National Institute of Mental Health (NIMH), National Institute of Alcohol Abuse and Alcoholism (NIAAA), National Institute on Drug Abuse (NIDA), and the National Center for Responsible Gaming (NCRG) provided additional support. None of these supporters or any of the authors has personal interests in bwin.com and its associated companies that would suggest a conflict of interest.

References

  1. American Psychiatric Association. (1997). Diagnostic and statistical manual of mental disorders. Washington, DC: American Psychiatric Association.Google Scholar
  2. Anderson, G., & Brown, R. I. (1984). Real and laboratory gambling, sensation seeking and arousal. The British Journal of Psychology, 75, 401–410.Google Scholar
  3. Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275, 1293–1295. doi: 10.1126/science.275.5304.1293.PubMedCrossRefGoogle Scholar
  4. Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction (Abingdon, England), 97, 487–499. doi: 10.1046/j.1360-0443.2002.00015.x.Google Scholar
  5. Blaszczynski, A., Wilson, A. C., & McConaghy, N. (1986). Sensation seeking and pathological gambling. British Journal of Addiction, 81, 113–117. doi: 10.1111/j.1360-0443.1986.tb00301.x.PubMedCrossRefGoogle Scholar
  6. Breen, R. B., & Zuckerman, M. (1999). ‘Chasing’ in gambling behavior: Personality and cognitive determinants. Personality and Individual Differences, 27, 1097–1111. doi: 10.1016/S0191-8869(99)00052-5.CrossRefGoogle Scholar
  7. Dickerson, M. (1984). Compulsive gamblers. London: Longman.Google Scholar
  8. Gehring, W. J., & Willoughby, A. R. (2002). The medial frontal cortex and the rapid processing of monetary gains and losses. Science, 295, 2279–2281. doi: 10.1126/science.1066893.PubMedCrossRefGoogle Scholar
  9. Griffiths, M. (2004). Betting your life on it. BMJ (Clinical Research Ed.), 329, 1055–1056. doi: 10.1136/bmj.329.7474.1055.CrossRefGoogle Scholar
  10. Kahneman, D. (1999). Objective happiness. In D. Kahneman, Ed. Diener, & N. Schwarz (Eds.), Well-being: Foundations of hedonic psychology (pp. 3–25). New York: Russell Sage Foundation.Google Scholar
  11. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263–292. doi: 10.2307/1914185.CrossRefGoogle Scholar
  12. LaBrie, R. A., Kaplan, S. A., LaPlante, D. A., Nelson, S. E., & Shaffer, H. J. (2008). Inside the virtual casino: A prospective longitudinal study of actual internet casino gambling. European Journal of Public Health, 18, 410–416. doi: 10.1093/eurpub/ckn021.PubMedCrossRefGoogle Scholar
  13. LaBrie, R. A., LaPlante, D. A., Nelson, S. E., Schumann, A., & Shaffer, H. J. (2007). Assessing the playing field: A prospective longitudinal study of internet sports gambling behavior. Journal of Gambling Studies, 23, 347–362. doi: 10.1007/s10899-007-9067-3.CrossRefGoogle Scholar
  14. Laird, N. M., & Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics, 38, 963–974. doi: 10.2307/2529876.PubMedCrossRefGoogle Scholar
  15. LaPlante, D. A., Nelson, S. E., LaBrie, R. A., & Shaffer, H. J. (2008a). Stability and progression of disordered gambling: lessons from longitudinal studies. Canadian Journal of Psychiatry, 53, 52–60.Google Scholar
  16. LaPlante, D. A., Schumann, A., Labrie, R. A., & Shaffer, H. J. (2008b). Population trends in internet sports gambling. Computers in Human Behavior, 24, 2399–2414. doi: 10.1016/j.chb.2008.02.015.CrossRefGoogle Scholar
  17. Lesieur, H. (1979). The compulsive gambler’s spiral of options and involvement. Psychiatry, 42, 79–87.PubMedGoogle Scholar
  18. Lesieur, H. (1984). The chase: Career of the compulsive gambler. Cambridge, MA: Schenkman Publishing Co.Google Scholar
  19. National Research Council. (1999). Pathological gambling: A critical review. Washington, DC: National Academy Press.Google Scholar
  20. O’Connor, J., & Dickerson, M. (2003). Definition and measurement of chasing in off-course betting and gaming machine play. Journal of Gambling Studies, 19, 359–386. doi: 10.1023/A:1026375809186.PubMedCrossRefGoogle Scholar
  21. Petry, N. M. (2005). Pathological gambling: Etiology, comorbidity, and treatment. Washington, DC: American Psychological Association.CrossRefGoogle Scholar
  22. Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., & the R Core team. (2008). nlme: Linear and nonlinear mixed effects model. R package version 3.1-89.Google Scholar
  23. Potenza, M. N., Leung, H.-C., Blumberg, H. P., Peterson, B. S., Fulbright, R. K., Lacadie, C. M., et al. (2003). An fMRI stroop task study of ventromedial prefrontal cortical function in pathological gamblers. The American Journal of Psychiatry, 160, 1990–1994. doi: 10.1176/appi.ajp.160.11.1990.PubMedCrossRefGoogle Scholar
  24. Reuter, J., Raedler, T., Rose, M., Hand, I., Gläscher, J., & Büchel, C. (2005). Pathological gambling is linked to reduced activation of the mesolimbic reward system. Nature Neuroscience, 8, 147–148. doi: 10.1038/nn1378.PubMedCrossRefGoogle Scholar
  25. Ross, S. (2002). A first course in probability. Upper Saddle River, NJ: Prentice-Hall.Google Scholar
  26. Rothman, K. J., & Greenland, S. (1998). Types of epidemiologic study. In K. J. Rothman & S. Greenland (Eds.), Modern epidemiology (pp. 67–78). Philadelphia, PA: Lippincott Williams & Wilkins.Google Scholar
  27. Shaffer, H. J., & Korn, D. A. (2002). Gambling and related mental disorders: A public health analysis. Annual Review of Public Health, 23, 171–212. doi: 10.1146/annurev.publhealth.23.100901.140532.PubMedCrossRefGoogle Scholar
  28. Sharpe, L., Tarrier, N., Schotte, D., & Spence, S. H. (1995). The role of autonomic arousal in problem gambling. Addiction (Abingdon, England), 90, 1529–1540. doi: 10.1111/j.1360-0443.1995.tb02815.x.Google Scholar
  29. Slutske, W. S. (2007). Longitudinal studies of gambling behavior. In G. Smith, D. C. Hodgins, & R. J. Williams (Eds.), Research and measurement issues in gambling studies (pp. 127–151). Oxford: Elsevier, Academic Press Publications.Google Scholar
  30. Wagenaar, W. A. (1988). Paradoxes of gambling behaviour. Hove: Lawrence Erlbaum Associates Ltd., Publishers.Google Scholar
  31. Ware, J. H. (1985). Linear models for the analysis of longitudinal studies. The American Statistician, 39, 95–101. doi: 10.2307/2682803.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of Society, Human Development and HealthHarvard School of Public HealthBostonUSA
  2. 2.Division on AddictionsThe Cambridge Health Alliance, Harvard Medical SchoolMedfordUSA

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