Gambling and Problem Gambling in the United States: Changes Between 1999 and 2013 (original) (raw)
References
Abbott, M., Romild, U., & Volberg, R. A. (2013). Gambling and problem gambling in Sweden: Changes between 1998 and 2009. Journal of Gambling Studies. doi:10.1007/s10899-013-9396-3. [Epub ahead of print].
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. Wellington: New Zealand Department of Internal Affairs.
Abbott, M. W., Volberg, R. A., & Ronnberg, S. (2004). Comparing the New Zealand and Swedish national surveys of gambling and problem gambling. Journal of Gambling Studies,20(3), 237–258. ArticlePubMed Google Scholar
American Association for Public Opinion Research (AAPOR) Cell Phone Task Force. (2010). Weighting in RDD cell phone surveys. In New considerations for survey researchers when planning and conducting RDD telephone surveys in the U.S. with respondents reached via cell phone numbers (pp. 61–76). Deerfield, IL: American Association for Public Opinion Research.
American Psychiatric Association. (1994). _DSM_-IV: Diagnostic and statistical manual of mental disorders (4th ed.). Washington DC.
Barnes, G. M., Welte, J. W., Tidwell, M.-C. O., & Hoffman, J. H. (2011). Gambling on the lottery: Sociodemographic correlates across the lifespan. Journal of Gambling Studies,27, 575–586. ArticlePubMed CentralPubMed Google Scholar
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. ArticlePubMed CentralPubMed Google Scholar
Black, D. W., McCormick, B., Losch, M. E., Shaw, M., Lutz, G., & Allen, J. (2012). Prevalence of problem gambling in Iowa: Revisiting Shaffer’s adaptation hypothesis. Annals of Clinical Psychiatry,24(4), 279–284. PubMed CentralPubMed Google Scholar
Blumberg, S. J., & Luke, J. V. (2012). Wireless substitution: Early release of estimates from the National Health Interview Survey, July_–_December 2011. National Center for Health Statistics. http://www.cdc.gov/nchs/nhis.htm.
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. ArticleCASPubMed Google Scholar
Bondolfi, G., Jemann, F., Ferrero, F., Zullino, D., & Osiek, C. H. (2008). Prevalence of pathological gambling in Switzerland after the opening of casinos and the introduction of new preventive legislation. Acta Psychiatr Scand,117, 236–239. ArticleCASPubMed Google Scholar
Bortz, D. (2013). Gambling addicts seduced by growing casino accessibility. U.S. News.com. March 28.
Casino City Press. (2010). Gaming business directory. Newton, MA: Casino City Press. Google Scholar
Gerstein, D. R., Volberg, R. A., Toce, M. T., Harwood, H., Christiansen, E. M., Hoffman, J., et al. (1999). Gambling impact and behavior study: Report to the National Gambling Impact Study Commission. Chicago, Il: National Opinion Research Center at the University of Chicago. Google Scholar
Horvath, C., & Paap, R. (2012). The effect of recessions on gambling expenditures. Journal of Gambling Studies,28(4), 703–717. ArticlePubMed CentralPubMed Google Scholar
Horváth, C., & Paap, R. (2011). The effect of recessions on gambling expenditures. Journal of Gambling Studies. doi:10.1007/s10899-011-9282-9.
Jackson, A. C., Pennay, D., Dowling, N. A., Coles-Janess B., & Christensen, D. R. (2013). Improving gambling survey research using dual-frame sampling of landline and mobile phone numbers. Journal of Gambling Studies. [Epub ahead of print].
Kallick, M., Suits, D., Dielman, T., & Hybels, J. (1979). A survey of American gambling attitudes and behavior. Ann Arbor, MI: Institute for Social Research, The University of Michigan. Google Scholar
Kennedy, C., & Kolenikov, S. (2012). Weighting approaches for dual frame RDD surveys. AAPOR webinar, recorded 10/11/2012, Deerfield, IL: American Association for Public Opinion Research.
Kessler, R. C., Hwang, I., LaBrie, R., Petukhova, M., Sampson, N. A., Winters, K. C., et al. (2008). DMS-IV pathological gambling in the National Comorbidity Survey Replication. Psychological Medicine,38, 1351–1360. PubMed CentralCASPubMed Google Scholar
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. ArticlePubMed Google Scholar
Lavrakas, P. J. (1993). Telephone survey methods: Sampling, selection, and supervision. Newbury Park: Sage. Google Scholar
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(9), 1184–1187. ArticleCASPubMed Google Scholar
Lohr, S. (2009). Multiple frame surveys. In D. Pfeffermann & C. R. Rao (Eds.), Handbook of statistics, Vol. 29A, sample surveys: Design, methods and applications (pp. 71–88). Amsterdam, The Netherlands: Elsevier. Chapter Google Scholar
National Research Council. (1999). Pathological gambling: A Critical Review. Washington, DC: National Academy Press. Google Scholar
Neal, P. N., Delfabbro, P. H., & O’Neil, M. (2005). Problem gambling and harm: Towards a national definition. Victoria, Australia: Office of Gambling and Racing, Victorian Government Department of Justice. Google Scholar
Outcalt, J. K. (2000). Nationwide cross reference directory of licensed gambling establishments. Gainesville, FL: Outcalt and Associates Inc. Google Scholar
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. ArticlePubMed Google Scholar
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
Shaffer, H. J., & Hall, M. N. (2001). Updating and refining prevalence estimates of disordered gambling behavior in the United States and Canada. Canadian Journal of Public Health,92(3), 168–172. CASPubMed Google Scholar
Shaffer, H. J., Hall, M. N., & Bilt, J. V. (1997). Estimating the prevalence of disordered gambling behavior in the United States and Canada: A meta-analysis. Boston, MA: Harvard Medical School. Google Scholar
Skolink, S. (2011). High Stakes: The rising cost of America’s gambling addiction. Boston, MA: Beacon Press. Google Scholar
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. Article Google Scholar
Stricker, L. J. (1988). Measuring social status with occupational information: A simple method. Journal of Applied Social Psychology,18(5), 423–437. Article Google Scholar
Volberg, R. A. (2002). The epidemiology of pathological gambling. Psychiatric Annals,32(3), 171–178. Article Google Scholar
Volberg, R. A. (2003). Has there been a “feminization” of gambling and problem gambling in the United States? The Electronic Journal of Gambling Issues. eGambling, 8. http://www.camh.net/egambling/issue8/feature/index.html.
Volberg, R. A., Nysse-Carris, K. L., & Gerstein, D. R. (2006). 2006 California problem gambling prevalence survey. Submitted to California Department of Alcohol and Drug Programs Office of Problem and Pathological Gambling.
Wardle, H., Moody, A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M., Hussey, D., & Dobbie, F. (2011). British Gambling Prevalence Survey 2010. Prepared for The Gambling Commission. London: National Centre for Social Research.
Welte, J. W., Barnes, G. M., Tidwell, M., & Hoffman, J. H. (2008). The prevalence of problem gambling among U.S. adolescents and young adults: Results from a National Survey. Journal of Gambling Studies,24, 119–133. ArticlePubMed CentralPubMed Google Scholar
Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M., & 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. ArticleCASPubMed Google Scholar
Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M., & Parker, J. (2002). Gambling participation in the U.S.: Results from a national survey. Journal of Gambling Studies,18(4), 313–337. ArticlePubMed Google Scholar
Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M., & Parker, J. (2004a). Risk factors for pathological gambling. Addictive Behaviors,29, 323–335. ArticlePubMed Google Scholar
Welte, J. W., Wieczorek, W. F., Barnes, G. M., Tidwell, M., & Hoffman, J. H. (2004b). The relationship of ecological and geographic factors to gambling behavior and pathology. Journal of Gambling Studies,20(4), 405–423. ArticlePubMed Google Scholar
Williams, R. J., & Volberg, R. A. (2010). Best practices in the population assessment of problem gambling. Guelph, Ontario: Ontario Problem Gambling Research Centre. Google Scholar
Williams, R. J., Volberg, R. A., & Stevens, R. M. G. (2012). T_he population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends_. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care. http://hdl.handle.net/10133/3068.
Wood, R. T., & Williams, R. J. (2009). Internet gambling prevalence, patterns, problems, and policy options. Guelph, Ontario: Final Report prepared for the Ontario Problem Gambling Research Centre. Google Scholar