Journal of Gambling Studies

, Volume 33, Issue 2, pp 327–342 | Cite as

Predictors of Problem Gambling in the U.S.

  • John W. WelteEmail author
  • Grace M. Barnes
  • Marie-Cecile O. Tidwell
  • William F. Wieczorek
Original Paper


In this article we examine data from a national U.S. adult survey of gambling to determine correlates of problem gambling and discuss them in light of theories of the etiology of problem gambling. These include theories that focus on personality traits, irrational beliefs, anti-social tendencies, neighborhood influences and availability of gambling. Results show that males, persons in the 31–40 age range, blacks, and the least educated had the highest average problem gambling symptoms. Adults who lived in disadvantaged neighborhoods also had the most problem gambling symptoms. Those who attended religious services most often had the fewest problem gambling symptoms, regardless of religious denomination. Respondents who reported that it was most convenient for them to gamble had the highest average problem gambling symptoms, compared to those for whom gambling was less convenient. Likewise, adults with the personality traits of impulsiveness and depression had more problem gambling symptoms than those less impulsive or depressed. Respondents who had friends who approve of gambling had more problem gambling symptoms than those whose friends did not approve of gambling. The results for the demographic variables as well as for impulsiveness and religious attendance are consistent with an anti-social/impulsivist pathway to problem gambling. The results for depression are consistent with an emotionally vulnerable pathway to problem gambling.


Problem gambling Gambling correlates Gambling survey 



This research was funded by the National Institute on Alcohol Abuse and Alcoholism Grant AA018097, awarded to John W. Welte.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.


  1. Abbott, D. A., Cramer, S. L., & Sherrets, S. D. (1995). Pathological gambling and the family: Practice implications. Families in Society: The Journal of Contemporary Human Services, 76, 213–219.Google Scholar
  2. Abbott, M., & Volberg, R. (1991). Gambling and problem gambling in New Zealand: Report on phase one of the national survey of problem gambling. Research Series No. 12. Research Unit, Department of Internal Affairs, Wellington, New Zealand.Google Scholar
  3. Adams, G. R., Sullivan, A. M., Horton, K. D., Menna, R., & Guilmette, A. M. (2007). A study of differences in Canadian university students’ gambling and proximity to a casino. Journal of Gambling Issues, 19, 9–17.CrossRefGoogle Scholar
  4. Barnes, G. M., Welte, J. W., Tidwell, M.-C. O., & Hoffman, J. H. (2013). Effects of neighborhood disadvantage on problem gambling and alcohol abuse. Journal of Behavioral Addictions, 2(2), 82–89.CrossRefPubMedPubMedCentralGoogle Scholar
  5. Barnes, G. M., Welte, J. W., Tidwell, M.-C. O., & Hoffman, J. H. (2015). Gambling and substance use: Co-occurrence among adults in a recent general population study in the United States. International Gambling Studies, 15(1), 55–71.CrossRefPubMedPubMedCentralGoogle Scholar
  6. Barron, J. M., Staten, M. E., & Wilshusen, S. M. (2002). The impact of casino gambling on personal bankruptcy filing rates. Contemporary Economic Policy, 20(4), 440–455.CrossRefGoogle Scholar
  7. Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97, 487–499.CrossRefPubMedGoogle Scholar
  8. Blaszczynski, A., Steel, Z., & McConaghy, N. (1997). Impulsivity in pathological gambling: The antisocial impulsivist. Addictions, 92, 75–87.CrossRefGoogle Scholar
  9. Boardman, J. D., Finch, B. K., Ellison, C. G., Williams, D. R., & Jackson, J. S. (2001). Neighborhood disadvantage, stress, and drug use among adults. Journal of Health and Social Behavior, 42, 151–165.CrossRefPubMedGoogle Scholar
  10. Casino City Press. (2010). Gaming business directory. Newton, MA: Casino City Press.Google Scholar
  11. Christian, J., Ladouceur, R., & Ferland, F. (2000). Impact of availability on gambling: A longitudinal study. The Canadian Journal of Psychiatry, La Revue Canadienne de Psychiatrie, 45(9), 810–815.Google Scholar
  12. Clotfelter, C. T., & Cook, P. J. (1991). Selling hope: State lotteries in America (First Harvard University Press paperback edition). Cambridge, MA: Harvard University Press.Google Scholar
  13. Cox, B. J., Yu, N., Afifi, T. O., & Ladouceur, R. (2005). A national survey of gambling problems in Canada. Canadian Journal of Psychiatry, 50(4), 213–217.CrossRefPubMedGoogle Scholar
  14. Dannon, P. N., Lowengrub, K., Aizer, A., & Kotler, M. (2006). Pathological gambling: Comorbid psychiatric diagnoses in patients and their families. The Israel Journal of Psychiatry and Related Sciences, 43(2), 88–92.PubMedGoogle Scholar
  15. Delfabbro, P. (2002). Inquiry into management of gaming machine numbers. Report. University of Adelaide, Adelaide, Australia.Google Scholar
  16. Derogatis, L. R. (2001). Brief Sympton Inventory (BSI)-18. Administration, scoring and procedures manual. Minneapolis, MN: NSC Pearson, Inc.Google Scholar
  17. el-Guebaly, N., Patten, S. B., Currie, S., Williams, J. V. A., Beck, C. A., Maxwell, C. J., et al. (2006). Epidemiological associations between gambling behavior, substance use & mood and anxiety disorders. Journal of Gambling Studies, 22(3), 275–287.CrossRefPubMedGoogle Scholar
  18. Felsher, J. R., Derevensky, J. L., & Gupta, R. (2003). Parental influences and social modelling of youth lottery participation. Journal of Community & Applied Social Psychology, 13, 361–377.CrossRefGoogle Scholar
  19. Gobet, F., & Schiller, M. (2011). A manifesto for cognitive models of problem gambling. In B. Kokinov, A. Karmiloff-Smith, & N. J. Nersessian (Eds.), European perspectives on cognitive science. Sofia: New Bulgarian University Press.Google Scholar
  20. Grant, J. E., & Kim, S. W. (2003). Comorbidity of impulse control disorders in pathological gamblers. Acta Psychiatrica Scandinavica, 108(3), 203–207.CrossRefPubMedGoogle Scholar
  21. Grun, L., & McKeigue, P. (2000). Prevalence of excessive gambling before and after introduction of a national lottery in the United Kingdom: Another example of the single distribution theory. Addiction, 95(6), 959–966.CrossRefPubMedGoogle Scholar
  22. Hing, N., & Haw, J. (2009). The development of a multi-dimensional gambling accessibility scale. Journal of Gambling Studies, 25(4), 569–581.CrossRefPubMedGoogle Scholar
  23. Hing, N., Russell, A., Tolchard, B., & Nower, L. (2015). Risk factors for gambling problems: An analysis by gender. Journal of Gambling Studies. doi: 10.1007/s10899-015-9548-8.Google Scholar
  24. Hodgins, D. C., Schopflocher, D. P., Martin, C. R., el-Guebaly, N., Casey, D. M., Currie, S. R., et al. (2012). Disordered gambling among higher-frequency gamblers: Who is at risk? Psychological Medicine, 42(11), 2433–2444.CrossRefPubMedGoogle Scholar
  25. Kessler, R. C., Hwang, I., LaBrie, R., Petukhova, M., Sampson, N. A., Winters, K. C., et al. (2008). DSM-IV pathological gambling in the National Comorbidity Survey replication. Psychological Medicine, 38, 1351–1360.PubMedPubMedCentralGoogle Scholar
  26. Korn, E., & Graubard, B. (1999). Analysis of health surveys. Hoboken, NJ: Wiley.CrossRefGoogle Scholar
  27. LaBrie, R. A., Nelson, E. E., LaPlante, D. A., Peller, A. J., Caro, G., & Shaffer, H. J. (2007). Missouri casino self-excluders distributions across time and space. Journal of Gambling Studies, 23, 231–243.CrossRefPubMedGoogle Scholar
  28. Lavrakas, P. J. (1993). Telephone survey methods: Sampling, selection, and supervision. Newbury Park: Sage.CrossRefGoogle Scholar
  29. Lester, D. (1994). Access to gambling opportunities and compulsive gambling. Substance Use and Misuse, 29(12), 1611–1616.Google Scholar
  30. Lynch, W. J., Maciejewski, P. K., & Potenza, M. N. (2004). Psychiatric correlates of gambling in adolescents and young adults grouped by age at gambling onset. Archives of General Psychiatry, 61(11), 1116–1122.CrossRefPubMedGoogle Scholar
  31. Martins, S. S., Storr, C. L., Lee, G. P., & Ialongo, N. S. (2012). Environmental influences associated with gambling in young adulthood. Journal of Urban Health: Bulletin of the New York Academy of Medicine. doi: 10.1007/s11524-012-9751-1.Google Scholar
  32. McCleary, R., Chew, K. S. Y., Merrill, V., & Napolitano, C. (2002). Does legalized gambling elevate the risk of suicide? An analysis of U.S. counties and metropolitan areas. Suicide and Life-Threatening Behavior, 32(2), 209–221.CrossRefPubMedGoogle Scholar
  33. McComb, J. L., & Sabiston, C. M. (2010). Family influences on adolescent gambling behavior: A review of the literature. Journal of Gambling Studies, 26, 503–520.CrossRefPubMedGoogle Scholar
  34. Moore, S. M., Thomas, A. C., Kyrios, M., Bates, G., & Meredyth, D. (2011). Gambling accessibility: A scale to measure gambler preferences. Journal of Gambling Studies, 27, 119–143.CrossRefGoogle Scholar
  35. National Opinion Research Center (NORC). (1999). Gambling impact and behavior study. Chicago: Author.Google Scholar
  36. Pearce, J., Mason, K., Hiscock, R., & Day, P. (2008). A national study of neighborhood access to gambling opportunities and individual gambling behavior. Journal of Epidemiology and Community Health, 62(10), 862–868.CrossRefPubMedGoogle Scholar
  37. Petry, N. M., Stinson, F. S., & Grant, B. F. (2005). Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: Results from the National Epidemiologic Survey on alcohol and related conditions. Journal of Clinical Psychiatry, 66(5), 564–574.CrossRefPubMedGoogle Scholar
  38. Robins, L., Marcus, L., Reich, W., Cunningham, R., & Gallagher, T. (1996). NIMH diagnostic interview schedule-Version IV (DIS-IV). St. Louis: Department of Psychiatry, Washington University School of Medicine.Google Scholar
  39. Room, R. (1999). Community effects of the opening of the Niagara casino. Addiction, 94(10), 1449–1466.CrossRefPubMedGoogle Scholar
  40. Rush, B., Veldhuizen, S., & Adlaf, E. (2007). Mapping the prevalence of problem gambling and its association with treatment accessibility and proximity to gambling venues. Journal of Gambling Issues, 20, 193–214.CrossRefGoogle Scholar
  41. Scherrer, J. F., Slutske, W. S., Xian, H., Waterman, B., Shah, K. R., Volberg, R., et al. (2007). Factors associated with pathological gambling at 10-year follow-up in a national sample of middle-aged men. Addiction, 102(6), 970–978.CrossRefPubMedGoogle Scholar
  42. Sevigny, S., Ladouceur, R., Jacques, R., & Cantinotti, M. (2008). Links between casino proximity and gambling participation, expenditure and pathology. Psychology of Addictive Behaviors, 22(2), 295–301.CrossRefPubMedGoogle Scholar
  43. Shaffer, H. J., LaBrie, R. A., & LaPlante, D. (2004). Laying the foundation for quantifying regional exposure to social phenomena: Considering the case of legalized gambling as a public health toxin. Psychology of Addictive Behaviors, 18(5), 40–48.CrossRefPubMedGoogle Scholar
  44. Slutske, W. S., Caspi, A., Moffitt, T. E., & Poulton, R. (2005). Personality and problem gambling: A prospective study of a birth cohort of young adults. Archives of General Psychiatry, 62(7), 769–775.CrossRefPubMedGoogle Scholar
  45. Spinella, M. (2007). Normative data and a short form of the Barratt Impulsiveness Scale. International Journal of Neuroscience, 117(3), 359–368.CrossRefPubMedGoogle Scholar
  46. Steel, Z., & Blaszczynski, A. (1996). The factorial structure of pathological gambling. Journal of Gambling Studies, 12, 3–20.CrossRefPubMedGoogle Scholar
  47. Storer, J., Abbott, M., & Stubbs, J. (2009). Access or adaptation? A meta-analysis of surveys of problem gambling prevalence in Australia and New Zealand with respect to concentration of electronic gaming machines. International Gambling Studies, 9(3), 225–244.CrossRefGoogle Scholar
  48. Stricker, L. J. (1988). Measuring social status with occupational information: A simple method. Journal of Applied Social Psychology, 18, 423–437.CrossRefGoogle Scholar
  49. Tidwell, M.-C. O., Welte, J. W., Barnes, G. M., & Dayanim, B. (2015). Gambling modes and state gambling laws: Changes from 1999 to 2011 and beyond. Gaming Law Review and Economics, 19(1), 13–26.CrossRefPubMedPubMedCentralGoogle Scholar
  50. Vitaro, F., Brendgen, M., Ladouceur, R., & Tremblay, R. E. (2001). Gambling, delinquency, and drug use during adolescence: Mutual influences and common risk factors. Journal of Gambling Studies, 17(3), 171–191.CrossRefPubMedGoogle Scholar
  51. Volberg, R. A. (1993). Estimating the prevalence of pathological gambling in the United States. In W. R. Eadington & J. A. Cornelius (Eds.), Gambling behavior and problem gambling. Reno: University of Nevada Press.Google Scholar
  52. Volberg, R. A. (1994). The prevalence and demographics of pathological gamblers: Implications for public health. American Journal of Public Health, 84(2), 237–241.CrossRefPubMedPubMedCentralGoogle Scholar
  53. Weiss, M. (1988). The clustering of America: A vivid portrait of the nation’s 40 neighborhood types—Their values, lifestyles, and eccentricities. New York: Harper & Row.Google Scholar
  54. Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., & Hoffman, J. H. (2009). Legal gambling availability and problem gambling among adolescents and young adults. International Gambling Studies, 92(2), 89–99.CrossRefGoogle Scholar
  55. Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., Hoffman, J. H., & Wieczorek, W. F. (2015). Gambling and problem gambling in the United States: Changes between 1999 and 2013. Journal of Gambling Studies, 31(3), 695–715.CrossRefPubMedPubMedCentralGoogle Scholar
  56. Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M.-C. O., & Parker, J. (2001). Alcohol and gambling pathology among U.S. adults: Prevalence, demographic patterns and co-morbidity. Journal of Studies on Alcohol, 62(5), 706–712.CrossRefPubMedGoogle Scholar
  57. Welte, J. W., Wieczorek, W. F., Barnes, G. M., & Tidwell, M.-C. O. (2006). Multiple risk factors for pathological gambling: Individual, social and ecological. Journal of Applied Social Psychology, 36(6), 1548–1568.CrossRefGoogle Scholar
  58. Welte, J. W., Wieczorek, W. F., Barnes, G. M., Tidwell, M.-C. O., & Hoffman, J. H. (2004). The relationship of ecological and geographic factors to gambling behavior and pathology. Journal of Gambling Studies, 20(4), 405–423.CrossRefPubMedGoogle Scholar
  59. Williams, R.J., Belanger, Y.D., & Arthur, J. N. (2011). Gambling in Alberta: History, current status, and socioeconomic impacts. Final Report to the Alberta Gaming Research Institute. Edmonton, Alberta, April 2, 2011.
  60. Winship, C., & Radbill, L. (1994). Sampling weights and regression analysis. Sociological Methods and Research, 23(4), 230–257.CrossRefGoogle Scholar
  61. Wynne, H. J. (2003). Introducing the Canadian Problem Gambling Index. Edmonton: Wynne Resources.Google Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • John W. Welte
    • 1
    Email author
  • Grace M. Barnes
    • 1
  • Marie-Cecile O. Tidwell
    • 1
  • William F. Wieczorek
    • 2
  1. 1.Research Institute on Addictions, University at BuffaloState University of New YorkBuffaloUnited States
  2. 2.Institute for Community Health PromotionState University College of New York at BuffaloBuffaloUnited States

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