Predicting Gambling Problems from Gambling Outcome Expectancies in College Student-Athletes
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While previous research has suggested the potential importance of gambling outcome expectancies in determining gambling behaviour among adolescents, the predictive ability of gambling outcome expectancies has not yet been clearly delineated for college-aged youth. The current study aims to explore the relationships between gender and outcome expectancies in the prediction of gambling severity among college student-athletes. Data from the National Collegiate Athletic Association (NCAA) study assessing gambling behaviours and problems among U.S. college student-athletes were utilized. Complete data was available for 7,517 student-athletes. As expected, male college student-athletes reported more gambling participation as well as greater gambling problems than their female counterparts. Findings showed positive relationships between the outcome expectancies of financial gain, and negative emotional impacts and gambling problems. That is, those who endorsed more items on the outcome expectancy scales for financial gain and negative emotional impacts also tended to endorse more gambling-related problems. Findings also showed a negative relationship between outcome expectancies of fun and enjoyment, and gambling problems over and above the variance accounted for by gender. Those with gambling problems were less likely to have the expectation that gambling would be fun than those without gambling problems. Despite NCAA efforts to curb gambling activity, the results suggest that college student-athletes are at risk for over-involvement in gambling. Therefore, it is important to explore gambling outcome expectancies within this group since the motivations and reasons for gambling might be able to inform treatment initiatives.
KeywordsGambling Youths College Students Athletes Outcome expectancies
- American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author.Google Scholar
- Conner, M., & Norman, P. (2005). Predicting health behaviour: A social cognition approach. In M. Conner & P. Norman (Eds.), Predicting health behaviour (2nd ed., pp. 1–27). Maidenhead, BRK, England: Open University Press.Google Scholar
- Field, A. (2005). Discovering statistics using SPSS (2nd ed.). Thousand Oaks, CA: Sage Publications.Google Scholar
- Gillespie, M. A. M. (2010). Youth gambling: Exploring the relationships between impulsivity, depression, outcome expectancies and gambling involvement (Unpublished doctoral dissertation). Montreal, Canada: McGill University.Google Scholar
- Gillespie, M., Derevensky, J., & Gupta, R. (2007a). Adolescent problem gambling: Developing a gambling expectancy instrument. Journal of Gambling Issues, 19, 51–68. Retrieved from http://www.camh.net/egambling/issue19/pdfs/gillespie1.pdf.Google Scholar
- Gillespie, M., Derevensky, J., & Gupta, R. (2007b). The utility of outcome expectancies in the prediction of adolescent gambling behaviour. Journal of Gambling Issues, 19, 69–85. Retrieved from http://www.camh.net/egambling/issue19/pdfs/gillespie2.pdf.Google Scholar
- Lesieur, H. R. (1984). The chase: Career of the compulsive gambler. Cambridge, MA: Schenkman.Google Scholar
- Mohler-Kuo, M., Lee, J. E., & Wechsler, H. (2003). Trends in marijuana and other illicit drug use among college students: Results from 4 Harvard School of Public Health College Alcohol Study surveys: 1993–2001. Journal of American College Health, 52, 17–24. doi:10.1080/07448480309595719.PubMedCrossRefGoogle Scholar
- National Collegiate Athletic Association (2010). 1981-82—2008-09 NCAA sports sponsorship and participation rates report. Retrieved from http://www.ncaapublications.com/productdownloads/PR2010.pdf.
- Paskus, T. S., Wanner, K., & Derevensky, J. (in press). Trends in sports wagering among college student-athletes from 2004–2008. In: National Collegiate Athletic Association, Indianapolis.Google Scholar
- Shead, N. W., Derevensky, J., & Paskus, T. (in press). Trends in gambling behavior among college student-athletes: A comparison of 2004 and 2008 NCAA survey data. Journal of Gambling Issues.Google Scholar
- Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Boston: Allyn and Bacon.Google Scholar
- Toce-Gerstein, M., & Gerstein, D. (2004). Of time and the chase: Lifetime versus past-year measures of pathological gambling. eGambling: The Electronic Journal of Gambling Studies, 10. Retrieved from http://www.camh.net/egambling/archive/pdf/EJGI-Issue10/EJGI-Issue10-gerstein.pdf.
- Wechsler, H., Lee, J. E., Kuo, M., Seibring, M., Nelson, T. F., & Lee, H. (2002). Trends in college binge drinking during a period of increased prevention efforts: Findings from 4 Harvard School of Public Health College Alcohol Study surveys: 1993–2001. Journal of American College Health, 50, 203–217. doi:10.1080/07448480209595713.PubMedCrossRefGoogle Scholar
- Wu, A., & Tang, C. (2011). Problem gambling of Chinese college students: Application of the theory of planned behavior. Journal of Gambling Studies, 1–10. doi:10.1007/s10899-011-9250-4.
- Yusko, D. A., Buckman, J. F., White, H. R., & Pandina, R. J. (2008a). Alcohol, tobacco, illicit drugs and performance enhancers: A comparison of use by college student athletes and nonathletes. Journal of American College Health, 57, 281–289. doi:10.3200/JACH.57.3.281-290.PubMedCentralPubMedCrossRefGoogle Scholar