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Individual, Family, and Peer Correlates of Adolescent Gambling

Título: Individual, Family, and Peer Correlates of Adolescent Gambling
Autores: Jennifer Langhinrichsen-Rohling, Paul Rohde, John R. Seeley, Martin L. Rohling
Data: 2004


The primary purpose of this study was to determine the individual, family, and peer factors that correlate with adolescent gambling. High school students from three states (N = 1,846) completed an anonymous questionnaire assessing the behavior of themselves, their parents, and their peers. Participants also reported on their gambling behavior via the SOGS-RA, which was used to create five adolescent gambling groups (i.e., Non-Gamblers, Non-Problem Gamblers, At-Risk Gamblers, Problem Gamblers, and Probable Pathological Gamblers). In a discriminant function analysis using demographic, individual, family, and peer factors as potential discriminators, two functions emerged that accounted for 94% of the variance between groups. The first function was linear, with the Probable Pathological Gamblers reporting the highest level of peer and parent gambling, susceptibility to peer pressure, conduct problems, binge drinking, suicide attempts, drug use, and being male. The second function highlighted three unique qualities of individuals in the two outlying groups: Probable Pathological Gamblers and Non-Gamblers. These findings suggest that demographic, individual, family, and peer variables are all important correlates of probable pathological gambling in adolescents. Results also support the utility of a five-group classification scheme based on the SOGS-RA. The clinical implications of these results are discussed.


  1. American Psychiatric Association (APA) (1994). Diagnostic and Statistical Manual of Mental Disorders (4thedition.). Washington, DC: APA.Google Scholar
  2. Derevensky, J. L., & Gupta, R. (2000). Prevalence estimates of adolescent gambling: A comparison of the SOGS-RA, DSM-IV-J, and the GA 20 questions. Journal of Gambling Studies, 16(2/3), 227-251.Google Scholar
  3. Derevensky, J. L., Gupta, R., & Cioppa, G. D. (1996). A developmental perspective of gambling behavior in children and adolescents. Journal of Gambling Studies, 12, 49-66.Google Scholar
  4. Dielman, T. E., Butchart, A. T., & Shope, J. T. (1993). Structural equation model tests of patterns of family interaction, peer alcohol use, and intra-personal predictors of adolescent alcohol use and misuse. Journal of Drug Education, 23, 273-316.Google Scholar
  5. Eysenck, S. B., & Eysenck, H. J. (1977). The place of impulsiveness in a dimensional system of personality description. British Journal of Social and Clinical Psychology, 16, 57-68.Google Scholar
  6. Govoni, R., Rupcich, N., & Frisch, G. R. (1996). Gambling behavior of adolescent gamblers. Journal of Gambling Studies, 12, 305-317.Google Scholar
  7. Griffiths, M., & Wood, R. T. A. (2000). Risk factors in adolescence: The case of gambling, videogame playing, and the Internet. Journal of Gambling Studies, 16(2/3), 199-225.Google Scholar
  8. Gupta, R., & Derevensky, J. L. (1998). An empirical examination of Jacobs’ General Theory of Addictions: Do adolescent gamblers fit the theory? Journal of Gambling Studies, 14, 17-49.Google Scholar
  9. Jackson, D. N. (1976). Jackson Personality Inventory Manual. Port Huron, MI: Research Psychologists Press.Google Scholar
  10. Jacobs, D. F. (1989). Illegal and undocumented: A review of teenage gambling and the plight of children of problem gamblers in America. In H. J. Shaffer, S. Stein, B. Gambino, & T. Cummings (Eds.), Compulsive gambling: Theory, research, and practice (pp. 249-292). Lexington, MA: Lexington Books.Google Scholar
  11. Jacobs, D. F. (2000). Juvenile gambling in North America: An analysis of long-term trends and future prospects. Journal of Gambling Studies, 16, 119-152.Google Scholar
  12. Jacobs, D. F., Marston, A. R., Singer, R. D., Widaman, K., Little, T., & Veizades, J. (1989). Children of problem gamblers. Journal of Gambling Behavior, 5, 261-268.Google Scholar
  13. Jessor, R. (1998). New Perspectives on Adolescent Risk Behavior. Cambridge, UK: Cambridge University Press.Google Scholar
  14. Johnston, L. D., O’Malley, P. M., & Bachman, J. G. (1993). National survey results on drug use from monitoring the future study, 1975–1992. NIH Publication 93-3597. Washington, DC: US Government Printing Office.Google Scholar
  15. Ladouceur, R., Boudreault, N., Jacques, C., & Vitaro, F. (1999). Pathological gambling and related problems among adolescents. Journal of Child and Adolescent Substance Abuse, 8, 55-68.Google Scholar
  16. Ladouceur, R., & Dube, D. (1994). Gambling among primary school students in the Quebec Metropolitan area. Journal of Gambling Studies, 10, 363-370.Google Scholar
  17. Ladouceur, R., Dube, D., & Bujold, A. (1994). Prevalence of pathological gambling and related problems among college students in the Quebec metropolitan area. Canadian Journal of Psychiatry, 39, 289-293.Google Scholar
  18. Langhinrichsen-Rohling, J., Rohling, M., Rohde, P., & Seeley, J. (in press). The SOGS-RA versus the MAGS-7: Variations in adolescent gambling prevalence rates as a function of measurement device and geographic location. Journal of Gambling Studies.Google Scholar
  19. Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry, 144, 1184-1188.Google Scholar
  20. Lesieur, H. R., & Klein, R. (1987). Pathological gambling among high school students. Addictive Behaviors, 12, 129-135.Google Scholar
  21. National Research Council. (1999). Pathological gambling: A critical review. Washington, DC: National Academy Press.Google Scholar
  22. Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385-401.Google Scholar
  23. Roberts, R. E., Lewinsohn, P. M., & Seeley, J. R. (1991). Screening for adolescent depression: A comparison of depression scales. Journal of the American Academy of Child and Adolescent Psychiatry, 30, 58-66.Google Scholar
  24. Rohde, P., Lewinsohn, P. M., Seeley, J. R., & Langhinrichsen-Rohling, J. (1996). The Life Attitudes Schedule Short Form: An abbreviated measure of life-enhancing and life-threatening behaviors in adolescents. Suicide and Life-Threatening Behavior, 26, 272-282.Google Scholar
  25. Shaffer, H. J., & Hall, M. N. (1996). Estimating the prevalence of adolescent gambling disorders: A quantitative synthesis and guide toward standard gambling nomenclature. Journal of Gambling Studies, 12, 193-214.Google Scholar
  26. Shaffer, H. J., Hall, M. N., & Vander Bilt, J. (1997). Estimating the prevalence of disordered gambling in the United States and Canada: A meta-analysis. Project funded by the National Center for Responsible Gambling. Kansas City, MO.Google Scholar
  27. Shaffer, H. J., LaBrie, R., Scanlan, K. M., & Cummings, T. N. (1994). Pathological gambling among adolescents: Massachusetts Adolescent Gambling Screen (MAGS). Journal of Gambling Studies, 10, 339-362.Google Scholar
  28. Stinchfield, R. (2000). Gambling and correlates of gambling among Minnesota public school students. Journal of Gambling Studies, 16, 153-173.Google Scholar
  29. Stinchfield, R., Cassuto, N., Winters, K., & Latimer, W. (1997). Prevalence of gambling among Minnesota public school students in 1992 and 1995. Journal of Gambling Studies, 13, 25-48.Google Scholar
  30. Stinchfield, R., & Winters, K. (1998). Gambling and problem gambling among youth. Annals of the American Academy of Political and Social Science, 556, 172-185.Google Scholar
  31. Vitaro, F., Ferland, F., Jacques, C., & Ladouceur, R. (1998). Gambling, substance use, and impulsivity during adolescence. Psychology of Addictive Behaviors, 12, 185-194.Google Scholar
  32. Winters, K. C., & Anderson, N. (2000). Gambling involvement and drug use among adolescents. Journal of Gambling Studies, 16 (2/3), 175-198.Google Scholar
  33. Winters, K. C., Bengston, P., Dorr, D., & Stinchfield, R. (1998). Prevalence and risk factors of problem gambling among college students. Psychology of Addictive Behaviors, 12, 127-135.Google Scholar
  34. Winters, K. C., Stinchfield, R. D., & Fulkerson, J. (1993). Toward the development of an adolescent gambling problem severity scale. Journal of Gambling Studies, 9, 63-84.Google Scholar
  35. Wood, R. T. A., & Griffiths, M. D. (1998). The acquisition, development, and maintenance of lottery and scratchcard gambling in adolescence. Journal of Adolescence, 21, 265-273.Google Scholar

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