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09-04-2024 | Original Paper

Overtime: Long-Term Betting Trajectories Among Highly-Involved and Less-Involved Online Sports Bettors

Authors: Sarah E. Nelson, Eric R. Louderback, Timothy C. Edson, Matthew A. Tom, Debi A. LaPlante

Published in: Journal of Gambling Studies

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Abstract

Online sports gambling involvement is discontinuous in nature, with small groups of highly involved gamblers exhibiting betting behavior that is distinctly greater than other gamblers. There is some question about whether these groups, defined by exceedingly high levels of play, also have equivalently high rates of gambling problems, and whether they maintain these play levels over time. The current study builds on past work by examining the long-term trajectories of play and voluntary self-exclusion patterns across two years among a cohort of 32,262 highly-involved and less-involved online sports gamblers. We also examine the relative importance of betting behavior change as a risk factor for gambling problems by testing whether high involvement as compared to escalation of involvement is a better predictor of future self-exclusion. Measures included betting activities, transactional activities, and self-exclusion activities on a European online betting platform between February 2015 and January 2017. Results showed that bettors who were most highly involved in the first 8 months of the study in terms of number of bets and net loss were more likely to continue gambling on the platform in months 9–24 than others. Bettors who were most highly involved in the first 8 months of the study in terms of net loss and amount wagered were more likely to use self-exclusion than others, and more likely to have multiple self-exclusions. Escalations in frequency of play and average bet size within the first 8 months emerged as significant predictors of self-exclusion, even when controlling for high involvement.
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Footnotes
1
Betting days, which is the sum of unique dates on which a bettor placed at least one sports bet, was used to calculate Bets per betting day, but was not included separately in analyses, so is not included in Table 1.
 
2
Although both Fisher’s exact tests and Chi-Square tests usually yield comparable statistics, we opted for Fisher’s tests because of their ability to handle any low expected cell counts.
 
3
We also conducted these analyses predicting self-exclusion across the entire study period; however, that approach yielded results in which any potential escalation effect was confounded by the reduction in activity caused by self-exclusion during the same initial eight months as the slope coefficients for betting and deposit activity. Six of the ten slope coefficient variables predicted self-exclusion – slopes of number of deposits, amount of deposits, amount wagered, number of bets, bets per betting day, and net loss were all negatively related to self-exclusion, likely due to this confound.
 
4
As noted earlier, we also conducted these analyses predicting self-exclusion across the entire study period; however, that approach yielded results in which any potential escalation effect was confounded by the reduction in activity caused by self-exclusion during the same initial eight months as the slope coefficients for betting and deposit activity. Our pre-registration for this study dictated we conduct the analysis both ways to test for confounding effects.
 
Literature
go back to reference Allami, Y., Hodgins, D. C., Young, M., Brunelle, N., Currie, S., Dufour, M., Flores-Pajot, M. C., & Nadeau, L. (2021). A meta-analysis of problem gambling risk factors in the general adult population. Addiction, 116(11), 2968–2977.CrossRefPubMedPubMedCentral Allami, Y., Hodgins, D. C., Young, M., Brunelle, N., Currie, S., Dufour, M., Flores-Pajot, M. C., & Nadeau, L. (2021). A meta-analysis of problem gambling risk factors in the general adult population. Addiction, 116(11), 2968–2977.CrossRefPubMedPubMedCentral
go back to reference Auer, M., & Griffiths, M. D. (2023). Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting. Journal of Gambling Studies, 39, 1273–1294.CrossRefPubMed Auer, M., & Griffiths, M. D. (2023). Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting. Journal of Gambling Studies, 39, 1273–1294.CrossRefPubMed
go back to reference Braverman, J., & Shaffer, H. J. (2012). How do gamblers start gambling: Identifying behavioural markers for high-risk internet gambling. European Journal of Public Health, 22(2), 273–278.CrossRefPubMed Braverman, J., & Shaffer, H. J. (2012). How do gamblers start gambling: Identifying behavioural markers for high-risk internet gambling. European Journal of Public Health, 22(2), 273–278.CrossRefPubMed
go back to reference Broda, A., LaPlante, D. A., Nelson, S. E., LaBrie, R. A., Bosworth, L. B., & Shaffer, H. J. (2008). Virtual harm reduction efforts for internet gambling: Effects of deposit limits on actual internet sports gambling behavior. Harm Reduction Journal, 5(27), 1–9. Broda, A., LaPlante, D. A., Nelson, S. E., LaBrie, R. A., Bosworth, L. B., & Shaffer, H. J. (2008). Virtual harm reduction efforts for internet gambling: Effects of deposit limits on actual internet sports gambling behavior. Harm Reduction Journal, 5(27), 1–9.
go back to reference Catania, M., & Griffiths, M. D. (2021). Understanding online voluntary self-exclusion in gambling: An empirical study using account-based behavioral tracking data. International Journal of Environmental Research and Public Health, 18(4). https://doi.org/10.3390/ijerph18042000. Catania, M., & Griffiths, M. D. (2021). Understanding online voluntary self-exclusion in gambling: An empirical study using account-based behavioral tracking data. International Journal of Environmental Research and Public Health, 18(4). https://​doi.​org/​10.​3390/​ijerph18042000.
go back to reference Edson, T. C., & LaPlante, D. A. (2020). Longitudinal playing trends among daily fantasy sports players. Computers in Human Behavior, 104, 106–165.CrossRef Edson, T. C., & LaPlante, D. A. (2020). Longitudinal playing trends among daily fantasy sports players. Computers in Human Behavior, 104, 106–165.CrossRef
go back to reference Edson, T. C., Tom, M. A., Louderback, E. R., Nelson, S. E., & LaPlante, D. A. (2022). Returning to the virtual casino: A contemporary study of actual online casino gambling. International Gambling Studies, 22(1), 114–141.CrossRef Edson, T. C., Tom, M. A., Louderback, E. R., Nelson, S. E., & LaPlante, D. A. (2022). Returning to the virtual casino: A contemporary study of actual online casino gambling. International Gambling Studies, 22(1), 114–141.CrossRef
go back to reference Edson, T. C., Louderback, E. R., Tom, M. A., Philander, K. S., Slabczynski, J. M., Lee, T. G., & LaPlante, D. A. (2023). A large-scale prospective study of big wins and their relationship with future involvement and risk among actual online sports bettors. Computers and Human Behavior, 142. https://doi.org/10.1016/j.chb.2023.107657. Edson, T. C., Louderback, E. R., Tom, M. A., Philander, K. S., Slabczynski, J. M., Lee, T. G., & LaPlante, D. A. (2023). A large-scale prospective study of big wins and their relationship with future involvement and risk among actual online sports bettors. Computers and Human Behavior, 142. https://​doi.​org/​10.​1016/​j.​chb.​2023.​107657.
go back to reference Heirene, R. M., Wang, A., & Gainsbury, S. M. (2021). Accuracy of self-reported gambling frequency and outcomes: Comparisons with account data. Psychology of Addictive Behaviors, Advance online publication. Heirene, R. M., Wang, A., & Gainsbury, S. M. (2021). Accuracy of self-reported gambling frequency and outcomes: Comparisons with account data. Psychology of Addictive Behaviors, Advance online publication.
go back to reference Hodgins, D. C., Young, M. M., Currie, S. R., Abbott, M., Billi, R., Brunelle, N., Costes, J. M., Dufour, M., Flores-Pajot, M. C., Olason, D. T., Paradis, C., Romild, U., Salonen, A., Volberg, R., & Nadeau, L. (2023). Lower-risk gambling limits: Linked analyses across eight countries. International Gambling Studies, 23(2), 328–344.CrossRef Hodgins, D. C., Young, M. M., Currie, S. R., Abbott, M., Billi, R., Brunelle, N., Costes, J. M., Dufour, M., Flores-Pajot, M. C., Olason, D. T., Paradis, C., Romild, U., Salonen, A., Volberg, R., & Nadeau, L. (2023). Lower-risk gambling limits: Linked analyses across eight countries. International Gambling Studies, 23(2), 328–344.CrossRef
go back to reference LaBrie, R. A., & Shaffer, H. J. (2011). Identifying behavioral markers of disordered internet sports gambling. Addiction Research & Theory, 19(1), 56–65.CrossRef LaBrie, R. A., & Shaffer, H. J. (2011). Identifying behavioral markers of disordered internet sports gambling. Addiction Research & Theory, 19(1), 56–65.CrossRef
go back to reference LaPlante, D. A., & Shaffer, H. J. (2007). Understanding the influence of gambling opportunities: Expanding exposure models to include adaptation. American Journal of Orthopsychiatry, 77(4), 616–623.CrossRefPubMed LaPlante, D. A., & Shaffer, H. J. (2007). Understanding the influence of gambling opportunities: Expanding exposure models to include adaptation. American Journal of Orthopsychiatry, 77(4), 616–623.CrossRefPubMed
go back to reference 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(1), 52–60.CrossRefPubMed 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(1), 52–60.CrossRefPubMed
go back to reference LaPlante, D. A., Nelson, S. E., & Gray, H. M. (2014). Breadth and depth involvement: Understanding internet gambling involvement and its relationship to gambling problems. Psychology of Addictive Behaviors, 28(2), 396–403.CrossRefPubMed LaPlante, D. A., Nelson, S. E., & Gray, H. M. (2014). Breadth and depth involvement: Understanding internet gambling involvement and its relationship to gambling problems. Psychology of Addictive Behaviors, 28(2), 396–403.CrossRefPubMed
go back to reference Lopez-Gonzalez, H., Estévez, A., & Griffiths, M. (2019). Internet-based structural characteristics of sports betting and problem gambling severity: Is there a relationship? International Journal of Mental Health and Addiction, 17(6), 1360–1373.CrossRef Lopez-Gonzalez, H., Estévez, A., & Griffiths, M. (2019). Internet-based structural characteristics of sports betting and problem gambling severity: Is there a relationship? International Journal of Mental Health and Addiction, 17(6), 1360–1373.CrossRef
go back to reference Louderback, E. R., LaPlante, D. A., Currie, S. R., & Nelson, S. E. (2021). Developing and validating lower risk online gambling thresholds with actual bettor data from a major internet gambling operator. Psychology of Addictive Behaviors, 35(8), 921–938.CrossRefPubMed Louderback, E. R., LaPlante, D. A., Currie, S. R., & Nelson, S. E. (2021). Developing and validating lower risk online gambling thresholds with actual bettor data from a major internet gambling operator. Psychology of Addictive Behaviors, 35(8), 921–938.CrossRefPubMed
go back to reference Nelson, S. E., Edson, T. C., Louderback, E. R., Tom, M. A., Grossman, A., & LaPlante, D. A. (2021). Changes to the playing field: A contemporary study of actual European online sports betting. Journal of Behavioral Addictions, 10(3), 396–411.CrossRefPubMedPubMedCentral Nelson, S. E., Edson, T. C., Louderback, E. R., Tom, M. A., Grossman, A., & LaPlante, D. A. (2021). Changes to the playing field: A contemporary study of actual European online sports betting. Journal of Behavioral Addictions, 10(3), 396–411.CrossRefPubMedPubMedCentral
go back to reference Nelson, S. E., Edson, T. C., Grossman, A., Louderback, E. R., Gray, H. M., & LaPlante, D. A. (2022). Time out: Prediction of self-exclusion from daily fantasy sports. Psychology of Addictive Behaviors, 36(4), 318–332.CrossRefPubMed Nelson, S. E., Edson, T. C., Grossman, A., Louderback, E. R., Gray, H. M., & LaPlante, D. A. (2022). Time out: Prediction of self-exclusion from daily fantasy sports. Psychology of Addictive Behaviors, 36(4), 318–332.CrossRefPubMed
go back to reference Parke, A., & Parke, J. (2019). Transformation of sports betting into a rapid and continuous gambling activity: A grounded theoretical investigation of problem sports betting in online settings. International Journal of Mental Health and Addiction, 17(6), 1340–1359.CrossRef Parke, A., & Parke, J. (2019). Transformation of sports betting into a rapid and continuous gambling activity: A grounded theoretical investigation of problem sports betting in online settings. International Journal of Mental Health and Addiction, 17(6), 1340–1359.CrossRef
go back to reference Shaffer, H. J., Gray, H. M., Nelson, S. E., & LaPlante, D. A. (2020). Technology, the internet, and gambling: How the medium can facilitate addiction, adaptation, and intervention. In M. N. Potenza, K. A. Faust, & D. Faust (Eds.), The Oxford Handbook of Digital Technologies and Mental Health (pp. 224–240). Oxford University Press. Shaffer, H. J., Gray, H. M., Nelson, S. E., & LaPlante, D. A. (2020). Technology, the internet, and gambling: How the medium can facilitate addiction, adaptation, and intervention. In M. N. Potenza, K. A. Faust, & D. Faust (Eds.), The Oxford Handbook of Digital Technologies and Mental Health (pp. 224–240). Oxford University Press.
Metadata
Title
Overtime: Long-Term Betting Trajectories Among Highly-Involved and Less-Involved Online Sports Bettors
Authors
Sarah E. Nelson
Eric R. Louderback
Timothy C. Edson
Matthew A. Tom
Debi A. LaPlante
Publication date
09-04-2024
Publisher
Springer US
Published in
Journal of Gambling Studies
Electronic ISSN: 1573-3602
DOI
https://doi.org/10.1007/s10899-024-10294-7