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Risk Factors for Problem Gambling in California: Demographics, Comorbidities and Gambling Participation

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Abstract

While population surveys have been carried out in numerous jurisdictions internationally, little has been done to assess the relative strength of different risk factors that may contribute to the development of problem gambling. This is an important preparatory step for future research on the etiology of problem gambling. Using data from the 2006 California Problem Gambling Prevalence Survey, a telephone survey of adult California residents that used the NODS to assess respondents for gambling problems, binary logistic regression analysis was used to identify demographic characteristics, health-related behaviors, and gambling participation variables that statistically predicted the odds of being a problem or pathological gambler. In a separate approach, linear regression analysis was used to assess the impact of changes in these variables on the severity of the disorder. In both of the final models, the greatest statistical predictor of problem gambling status was past year Internet gambling. Furthermore, the unique finding of a significant interaction between physical or mental disability, Internet gambling, and problem gambling highlights the importance of exploring the interactions between different forms of gambling, the experience of mental and physical health issues, and the development of problem gambling using a longitudinal lens.

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References

  • Abbott, M. W. (2001). What do we know about gambling and problem gambling in New Zealand?. Wellington: Department of Internal Affairs.

    Google Scholar 

  • Abbott, M. W., & Clarke, D. (2007). Prospective problem gambling research: Contribution and potential. International Gambling Studies, 7(1), 123–144.

    Article  Google Scholar 

  • Abbott, M. W., & Volberg, R. A. (2000). Taking the pulse on gambling and problem gambling in New Zealand: Phase one of the 1999 National Prevalence Survey. Wellington: Department of Internal Affairs.

    Google Scholar 

  • Abbott, M. W., Volberg, R. A., Bellringer, M., & Reith, G. (2004). A review of research on aspects of problem gambling. London: Responsibility in Gambling Trust. http://www.rgfund.org.uk/documents/a_review_of_research_on_aspects_of_problem_gambling_auckland_report_2004.pdf.

  • Abbott, M. W., Volberg, R. A., & Rönnberg, S. (2004b). Comparing the New Zealand and Swedish national surveys of gambling and problem gambling. Journal of Gambling Studies, 20(3), 237–258.

    Article  PubMed  Google Scholar 

  • Binde, P., Romild, U., & Volberg, R. A. (2017). Forms of gambling, gambling involvement and problem gambling: Evidence from a Swedish population survey. International Gambling Studies (publication pending).

  • Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 9, 487–499.

    Article  Google Scholar 

  • California Health Interview Survey. (2003). 2001 California Health Interview Survey adult questionnaire. Los Angeles, CA: Center for Health Policy, University of California Los Angeles. http://healthpolicy.ucla.edu/chis/design/Documents/CHIS2001_adult_q.pdf.

  • Crockford, D., & el-Guebaly, N. (1998). Psychiatric co-morbidity in pathological gambling: A critical review. Canadian Journal of Psychiatry, 43, 43–50.

    Article  CAS  PubMed  Google Scholar 

  • Druss, B. G., Hwang, I., Petukhova, M., Sampson, N. A., Wang, P. S., & Kessler, R. C. (2009). Impairment in role functioning in mental and chronic medical disorders in the United States: Results from the National Comorbidity Survey Replication. Molecular Psychiatry, 14, 728–737.

    Article  CAS  PubMed  Google Scholar 

  • Fisher, S. E. (1993). Gambling and pathological gambling in adolescents. Journal of Gambling Studies, 9(3), 277–288.

    Article  Google Scholar 

  • Gerstein, D. R., Volberg, R. A., Harwood, H., & Christiansen, E. M. (1999). Gambling impact and behavior study: Report to the National Gambling Impact Study Commission. Chicago, IL: NORC at the University of Chicago. http://www3.norc.org/projects/Gambling+Impact+Behavior+Study.htm.

  • Hodgins, D. C. (2004). Using the NORC DSM Screen for gambling problems as an outcome measure for pathological gambling: Psychometric evaluation. Addictive Behaviors, 29(8), 1685–1690.

    Article  PubMed  Google Scholar 

  • Holtgraves, T. (2009). Gambling, gambling activities, and problem gambling. Psychology of Addictive Behaviors, 23(2), 295–302.

    Article  PubMed  Google Scholar 

  • Kessler, R. C., Hwang, I., LaBrie, R. A., Petukhova, M., Sampson, N. A., Winters, K. C., et al. (2008). The prevalence and correlates of DSM-IV pathological gambling in the National Comorbidity Survey replication. Psychological Medicine, 38(9), 1351–1360.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • LaPlante, D. A., Afifi, T. O., & Shaffer, H. J. (2013). Games and gambling involvement among casino patrons. Journal of Gambling Studies, 29(2), 191–203.

    Article  PubMed  Google Scholar 

  • 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.

    Article  PubMed  Google Scholar 

  • LaPlante, D. A., Nelson, S. E., LaBrie, R. A., & Shaffer, H. J. (2011). Disordered gambling, type of gambling and gambling involvement in the British Gambling Prevalence Survey 2007. European Journal of Public Health, 21(4), 171–212.

    Article  Google Scholar 

  • Momper, S. L., Delva, J., Grogan-Taylor, A., Sanchez, N., Volberg, R. A., & Bernhard, B. J. (2010). The association of at risk, problem and pathological gambling with substance use, depression, and arrest history. Journal of Gambling Issues (24), 7–32. http://jgi.camh.net/doi/abs/10.4309/jgi.2010.24.3.

  • Neal, P., Delfabbro, P. H., & O’Neil, M. (2005). Problem gambling and harm: Towards a national definition. Adelaide: South Australian Centre for Economic Studies. www.gamblingresearch.org.au.

  • 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, 564–574.

    Article  PubMed  Google Scholar 

  • Phillips, J. G., Ogeil, R., Chow, Y.-W., & Blaszczynski, A. (2013). Gambling involvement and increased risk of gambling problems. Journal of Gambling Studies, 29(4), 601–611.

    Article  PubMed  Google Scholar 

  • Pignone, M. P., Gaynes, B. N., Rushton, J. L., Burchell, C. M., Orleans, T. C., Mulrow, C. D., et al. (2002). Screening for depression in adults: A summary of the evidence for the U.S. Preventive Services Task Force. Annals of Internal Medicine, 136, 765–776.

    Article  PubMed  Google Scholar 

  • Potenza, M. N., Steinberg, M. A., McLaughlin, S., Wu, R., Lavelle, E. T., Wilber, M. L., et al. (2003). Characteristics of problem gamblers reporting problematic alcohol use. Alcoholism, Clinical and Experimental Research, 2, 286.

    Google Scholar 

  • Productivity Commission. (1999). Australia’s gambling industries. Canberra: Productivity Commission. http://www.pc.gov.au/projects/inquiry/gambling/docs/finalreport.

  • Productivity Commission. (2010). Gambling. Canberra: Productivity Commission. http://www.pc.gov.au.

  • Schrans, T., Schellinck, T., & Walsh, G. (2000). Technical report: 2000 regular VLT players followup: A comparative analysis of problem development and resolution. Halifax: Focal Research Consultants. http://www.gov.ns.ca/health/downloads/VLPlayers_Technical_Report.pdf.

  • Toce-Gerstein, M., Gerstein, D. R., & Volberg, R. A. (2003). A hierarchy of gambling disorders in the general population. Addiction, 98, 1661–1672.

    Article  PubMed  Google Scholar 

  • Volberg, R. A., Gupta, R., Griffiths, M. D., Ólason, D. T., & Delfabbro, P. (2010). An international perspective on youth gambling prevalence studies. International Journal of Adolescent Medicine and Health, 22(1), 3–38.

    PubMed  Google Scholar 

  • Welte, J. W., Barnes, G. M., Tidwell, M.-C., 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.

    Article  PubMed  PubMed Central  Google Scholar 

  • Welte, J. W., Wieczorek, W., Tidwell, M.-C., & Parker, J. C. (2004). Risk factors for pathological gambling. Addictive Behaviors, 29(2), 323–335.

    Article  PubMed  Google Scholar 

  • Wickwire, E. M., Burke, R. S., Brown, S. A., Parker, J. D., & May, R. K. (2008). Psychometric evaluation of the National Opinion Research Center DSM-IV Screen for gambling problems (NODS). American Journal on Addictions, 17, 392–395.

    Article  PubMed  Google Scholar 

  • Williams, R. J., & Volberg, R. A. (2014). The classification accuracy of four problem gambling assessment instruments in population research. International Gambling Studies, 14(1), 15–28.

    Article  Google Scholar 

  • Williams, R. J., Volberg, R. A., & Stevens, R. M. G. (2012). The population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Guelph: Ontario Problem Gambling Research Centre. http://www.uleth.ca/dspace/handle/10133/3068.

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Acknowledgements

The survey reported on here was funded by the California Office of Problem and Pathological Gambling, Department of Alcohol and Drug Programs, Health and Human Services Agency. Subsequent analytic work was supported by a grant from the Center for Excellence in Survey Research at NORC at the University of Chicago.

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Correspondence to Rachel A. Volberg.

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Conflict of interest

Rachel A. Volberg has no conflicts of interest to declare in relation to this article. She has no affiliations with the gambling industry. She has received research funding from several government agencies in the last three years, including the Massachusetts Gaming Commission, the Canadian Consortium for Gambling Research, and the Ontario Problem Gambling Research Centre. She has also received research funding from several academic and non-governmental agencies in the last three years, including the Center for Gambling Studies at Rutgers University, the Oregon Council on Problem Gambling, and Turning Point Eastern Health in Victoria, Australia. Lauren M. McNamara declares that she has no conflict of interest. Kari L. Carris declares that she has no conflict of interest.

Ethical Approval

All of the procedures used in collecting the survey data on which this paper relies were in accordance with the ethical standards of NORC at the University of Chicago, the National Institutes of Health, and the 1964 Helsinki declaration and its later amendments.

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Volberg, R.A., McNamara, L.M. & Carris, K.L. Risk Factors for Problem Gambling in California: Demographics, Comorbidities and Gambling Participation. J Gambl Stud 34, 361–377 (2018). https://doi.org/10.1007/s10899-017-9703-5

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