Abstract
The recent expansion of Internet gambling has stimulated debate, policy, and research on this relatively new phenomenon and its potential consequences. The current study focuses on bettors experiencing problems by sampling Internet gamblers who imposed limits on the amount they were allowed to deposit to a betting site. We analyzed the betting transactions over 18 months of all gamblers who subscribed to an online betting site in February, 2005 (N = 47,134), 567 of whom utilized the site’s self-limit feature. Self-limiting gamblers played a wider variety of games and placed more bets than others prior to imposing limits. After imposing limits, self-limiters reduced their activity, but did not reduce the amount they wagered per bet. Time spent gambling, not just money spent, appears to be an important indicator of gambling problems. Self-limit programs appear to be promising options for Internet gamblers at-risk for gambling problems.
Similar content being viewed by others
Notes
Previous analysis of this sample (LaBrie et al. 2007) empirically established that the top 1% of the sample on certain variables exhibited behavior that was extreme compared to the rest of the sample. Based on that finding, we repeated the comparisons between SLs and non-SLs presented in Table 1 excluding non-SLs whose bets per day, stakes per bet, total wagered, or net loss placed them in the top 1% of the sample. (Frequency and % loss did not exhibit the same discontinuous distribution.) This resulted in 1,410 non-SLs being excluded. These comparisons revealed a pattern of differences identical to the pattern presented in the Table with the following exception: for live-action betting and betting on other games, euros per bet were no longer significantly different between SLs and non-SLs.
References
American Gaming Association. (2003). Responsible gaming rules of conduct. Retrieved September 1st, 2007, from http://www.americangaming.org/programs/responsiblegaming/code_public.cfm.
American Gaming Association. (2006). 2006 State of the states: The AGA survey of casino entertainment. Washington D.C.: American Gaming Association.
Currie, S. R., Hodgins, D. C., Wang, J., el-Guebaly, N., Wynne, H., & Chen, S. (2006). Risk of harm among gamblers in the general population as a function of level of participation in gambling activities. Addiction (Abingdon, England), 101, 570–580. doi:10.1111/j.1360-0443.2006.01392.x.
Griffiths, M. D. (2001). Internet gambling: Preliminary results of the first U.K. prevalence study. eGambling: The Electronic Journal of Gambling Issues Retrieved June 3, 2004, from http://www.camh.net/egambling/issue5/research/griffiths_article.html.
Griffiths, M. D. (2003). Internet gambling: Issues, concerns, and recommendations. Cyberpsychology & Behavior, 6(6), 557–568. doi:10.1089/109493103322725333.
Ialomiteanu, A., & Adlaf, E. M. (2002). Internet gambling among Ontario adults. eGambling: The Electronic Journal of Gambling Issues Retrieved June 3, 2004, from http://www.camh.net/egambling/issue5/research/ialomiteanu_adlaf_article.html.
LaBrie, R. A., LaPlante, D. A., Nelson, S. E., Schumann, A., & Shaffer, H. J. (2007a). Assessing the playing field: A prospective longitudinal study of internet sports gambling behavior. Journal of Gambling Studies, 23(3), 347–362. doi:10.1007/s10899-007-9067-3.
LaBrie, R. A., Nelson, S. E., LaPlante, D. A., Peller, A. J., Caro, G., & Shaffer, H. J. (2007b). Missouri casino self-excluders: Distributions across time and space. Journal of Gambling Studies, 23(2), 231–243. doi:10.1007/s10899-006-9037-1.
LaBrie, R. A., Shaffer, H. J., LaPlante, D. A., & Wechsler, H. (2003). Correlates of college student gambling in the United States. Journal of American College Health, 52(2), 53–62.
Ladd, G. T., & Petry, N. M. (2002). Disordered gambling among university-based medical and dental patients: A focus on Internet gambling. Psychology of Addictive Behaviors, 16(1), 76–79. doi:10.1037/0893-164X.16.1.76.
Ladouceur, R., Jacques, C., Giroux, I., Ferland, F., & Leblond, J. (2000). Analysis of a casino’s self-exclusion program. Journal of Gambling Studies, 16(4), 453–460. doi:10.1023/A:1009488308348.
Ladouceur, R., Sylvain, C., & Gosselin, P. (2007). Self-exclusion program: A longitudinal evaluation study. Journal of Gambling Studies, 23, 85–94. doi:10.1007/s10899-006-9032-6.
LaPlante, D. A., Schumann, A., LaBrie, R. A., & Shaffer, H. J. (2008). Population trends in internet sports gambling. Computers in Human Behavior, 24, 2399–2414.
Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. The American Journal of Psychiatry, 144(9), 1184–1188.
Meerkerk, G.-J., Van Den Eijnden, R. J. J. M., & Garretsen, H. F. L. (2006). Predicting compulsive Internet use: It’s all about sex!. Cyberpsychology & Behavior, 9(1), 95–103. doi:10.1089/cpb.2006.9.95.
Napolitano, F. (2003). The self-exclusion program: Legal and clinical considerations. Journal of Gambling Studies, 19(3), 303–315. doi:10.1023/A:1024259521729.
No More Gambling. (2005). The dangers of online gambling. Retrieved August 16, 2007, from http://www.nomorebets.com/online-gambling.html.
Nowatzki, N. R., & Williams, R. J. (2002). Casino self-exclusion programmes: A review of the issues. International Gambling Studies, 2, 3–25. doi:10.1080/14459790208732297.
Nower, L. M., & Blaszczynski, A. P. (2006). Characteristics and gender differences among self-excluded casino problem gamblers: Missouri data. Journal of Gambling Studies, 22(1), 81–99. doi:10.1007/s10899-005-9004-2.
Petry, N. M. (2006). Internet gambling: An emerging concern in family practice medicine? Family Practice, 23, 421–426. doi:10.1093/fampra/cml005.
Petry, N. M., & Mallya, S. (2004). Gambling participation and problems among employees at a university health center. Journal of Gambling Studies, 20(2), 155–170. doi:10.1023/B:JOGS.0000022307.09299.f5.
Richtel, M. (2004, March 26). Trade group says U.S. ban on Net gambling violates global law. New York Times.
Slutske, W. S. (2006). Natural recovery and treatment-seeking in pathological gambling: Results of two U.S. national surveys. The American Journal of Psychiatry, 163(2), 297–302. doi:10.1176/appi.ajp.163.2.297.
Smeaton, M., & Griffiths, M. D. (2004). Internet gambling and social responsibility: An exploratory study. Cyberpsychology & Behavior, 7(1), 49–57. doi:10.1089/109493104322820110.
Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M.-C., & Parker, J. (2002). Gambling participation in the U.S.—Results from a national survey. Journal of Gambling Studies, 18(4), 313–337. doi:10.1023/A:1021019915591.
Woodruff, C., & Gregory, S. (2005). Profile of Internet gamblers: Betting on the future. UNLV Gaming Research & Review Journal, 9(1), 1–14.
Acknowledgments
bwin, Interactive Entertainment, AG provided primary support for this study. The authors extend special thanks to Christine Reilly, Christine Thurmond, and Ziming Xuan for their support and work on this project. Dr. Nelson had full access to all of the data in the study and takes responsibility for its integrity and the accuracy of the data analysis. None of these supporters or any of the authors has personal interests in bwin and its associated companies that would suggest a conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Nelson, S.E., LaPlante, D.A., Peller, A.J. et al. Real Limits in the Virtual World: Self-Limiting Behavior of Internet Gamblers. J Gambl Stud 24, 463–477 (2008). https://doi.org/10.1007/s10899-008-9106-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10899-008-9106-8