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Canale, Natale; Vieno, Alessio; Griffiths, Mark D. (2016)
Publisher: Akad?miai Kiad?
Journal: Journal of Behavioral Addictions
Languages: English
Types: Article
Subjects: prevention paradox, Full-Length Report, gambling, harms, Great Britain, gambling involvement, population studies
Objectives: To examine whether the "prevention paradox" applies to British individuals in relation to gambling- related harm. \ud Methods: Data were derived from 7,756 individuals participating in the British Gambling Prevalence Survey 2010, a comprehensive interview-based survey conducted in Great Britain between November 2009 and May 2010. Gambling-related harm was assessed using an adapted version of the DSM-IV Pathological Gambling criteria. The previous year’s prevalence of problem gamblers was examined using the Problem Gambling Severity Index. Gambling involvement was measured by gambling frequency and gambling participation (gambling volume as expressed by time and money spent gambling). \ud Results: The prevalence rates for past-year gambling harms were dependence harm (16.4%), social harm (2.2%), and chasing losses (7.9%). Gambling-related harms were distributed across low- to moderate-risk gamblers (and not limited to just problem gamblers) and were reported by the majority of gamblers who were non-high time and spend regular gamblers than high time and spend regular gamblers. \ud Conclusions: The prevention paradox is a promising way of examining gambling-related harm. This suggests that prevention of gambling might need to consider the population approach to minimizing gambling harm.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Abbott, M., Binde, P., Hodgins, D., Korn, D., Pereira, A., Volberg, R., & Williams, R. (2013). Conceptual framework of harmful gambling: An International Collaboration. Guelph, Ontario: Ontario Problem Gambling Research Centre.
    • American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: American Psychiatric Association.
    • American Psychiatric Association (2013). Diagnostic and statistical manual of mental health disorders (5th ed.). Washington, DC: American Psychiatric Association.
    • Auer, M., & Griffiths, M. D. (2013). Limit setting and player choice in most intense online gamblers: An empirical study of online gambling behaviour. Journal of Gambling Studies, 29, 647-660. doi:10.1007/s10899-012-9332-y
    • Blaszczynski, A. (2009). Problem gambling: We should measure harm rather than 'cases'. Addiction, 104, 1072-1074. doi:10.1111/j.1360-0443.2009.02505.x
    • Blaszczynski, A., Ladouceur, R., Goulet, A., & Savard, C. (2008). Differences in monthly versus daily evaluations of money spent on gambling and calculation strategies. Journal of Gambling Issues, 21, 98-105. doi:10.4309/jgi.2008.21.9
    • Brosowski, T., Hayer, T., Meyer, G., Rumpf, H. J., John, U., Bischof, A., & Meyer, C. (2015). Thresholds of probable problematic gambling involvement for the German population: Results of the Pathological Gambling and Epidemiology (PAGE) Study. Psychology of Addictive Behaviors, 29(3), 794-804. doi:10.1037/adb0000088
    • Caetano, R., Mills, B., Pinsky, I., Zaleski, M., & Laranjeira, R. (2012). The distribution of alcohol consumption and the prevention paradox in Brazil. Addiction, 107, 60-68. doi:10.1111/ j.1360-0443.2011.03567.x
    • Canale, N., Santinello, M., & Griffiths, M. D. (2015). Validation of the reasons for gambling questionnaire (RGQ) in a British population survey. Addictive Behaviors, 45, 276-280. doi:10.1016/j.addbeh.2015.01.035
    • Currie, S. R., Hodgins, D. C., Wang, J., El-Guebaly, N., Wynne, H., & Chen, S. (2006). Risk of harm among gamblers in the general population as a function of level of participation in gambling activities. Addiction, 101(4), 570-580. doi:10.1111/ j.1360-0443.2006.01392.x
    • Currie, S. R., Miller, N., Hodgins, D. C., & Wang, J. (2009). Defining a threshold of harm from gambling for population health surveillance research. International Gambling Studies, 9(1), 19-38. doi:10.1080/14459790802652209
    • Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index. Ottawa, Ontario: Canadian Centre on Substance Abuse.
    • Gainsbury, S. M., Russell, A., Hing, N., Wood, R., Lubman, D. I., & Blaszczynski, A. (2014). The prevalence and determinants of problem gambling in Australia: Assessing the impact of interactive gambling and new technologies. Psychology of Addictive Behaviors, 28(3), 769-779. doi:10.1037/a0036207
    • Galani, C., & Schneider, H. (2007). Prevention and treatment of obesity with lifestyle interventions: Review and meta-analysis. International Journal of Public Health, 52(6), 348-359. doi:10.1007/s00038-007-7015-8
    • Gmel, G., Klingemann, S., Müller, R., & Brenner, D. (2001). Revising the preventive paradox: The Swiss case. Addiction, 96(2), 273-284. doi:10.1046/j.1360-0443.2001.96227311.x
    • Griffiths, M. (1996). Pathological gambling and treatment. British Journal of Clinical Psychology, 35(3), 477-479. doi:10.1111/ j.2044-8260.1996.tb01201.x
    • Griffiths, M. D. (2006). A case study of binge problem gambling. International Journal of Mental Health and Addiction, 4(4), 369-376. doi:10.1007/s11469-006-9035-7
    • Griffiths, M., & Delfabbro, P. (2001). The biopsychosocial approach to gambling: Contextual factors in research and clinical interventions. Journal of Gambling Issues, 5, 1-33. doi:10.4309/jgi.2001.5.1
    • Griffiths, M. D., & Whitty, M. W. (2010). Online behavioural tracking in Internet gambling research: Ethical and methodological issues. International Journal of Internet Research Ethics, 3(12), 104-117.
    • Korn, D., Gibbins, R., & Azmier, J. (2003). Framing public policy towards a public health paradigm for gambling. Journal of Gambling Studies, 19(2), 235-256. doi:10.1023/ A:1023685416816
    • Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction, 106(3), 490-498. doi:10.1111/j.1360-0443.2010. 03300.x
    • Marshall, D. (2009). Gambling as a public health issue: The critical role of the local environment. Journal of Gambling Issues, 23, 66-80. doi:10.4309/jgi.2009.23.4
    • Meyer, G., Hayer, T., & Griffiths, M. D. (Eds.). (2009). Problem gambling in Europe: Challenges, prevention, and interventions. New York, NY: Springer.
    • Milosevic, A., & Ledgerwood, D. M. (2010). The subtyping of pathological gambling: A comprehensive review. Clinical Psychology Review, 30(8), 988-998. doi:10.1016/j.cpr.2010.06.013
    • Molinaro, S., Canale, N., Vieno, A., Lenzi, M., Siciliano, V., Gori, M., & Santinello, M. (2014). Country-and individual-level determinants of probable problematic gambling in adolescence: A multi-level cross-national comparison. Addiction, 109(12), 2089-2097. doi:10.1111/add.12719
    • Morton, S., Bandara, D. K., Robinson, E. M., & Carr, P. E. A. (2012). In the 21st century, what is an acceptable response rate? Australian and New Zealand Journal of Public Health, 36(2), 106-108. doi:10.1111/j.1753-6405.2012.00854.x
    • Nower, L., Martins, S. S., Lin, K. H., & Blanco, C. (2013). Subtypes of disordered gamblers: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Addiction, 108(4), 789-798. doi:10.1111/add.12012
    • Petry, N. M., Blanco, C., Jin, C., & Grant, B. F. (2014). Concordance between gambling disorder diagnoses in the DSM-IV and DSM-5: Results from the National Epidemiological Survey of Alcohol and Related Disorders. Psychology of Addictive Behaviors, 28(2), 586-591. doi:10.1037/a0034661
    • Raisamo, S. U., Mäkelä, P., Salonen, A. H., & Lintonen, T. P. (2014). The extent and distribution of gambling harm in Finland as assessed by the Problem Gambling Severity Index. European Journal of Public Health, 25(4), 716-722. doi: 10.1093/eurpub/cku210
    • Reith, G. (2012). Beyond addiction or compulsion: The continuing role of environment in the case of pathological gambling. Addiction, 107(10), 1736-1737. doi:10.1111/ j.1360-0443.2012.03669.x
    • Rodgers, B., Caldwell, T., & Butterworth, P. (2009). Measuring gambling participation. Addiction, 104(7), 1065-1069. doi: 10.1111/j.1360-0443.2008.02412.x
    • Rose, G. (1981). Strategy of prevention: Lessons from cardiovascular disease. British Medical Journal, 282, 1847-1851. doi:10.1136/bmj.282.6279.1847
    • Rossow, I., & Romelsjö, A. (2006). The extent of the 'prevention paradox' in alcohol problems as a function of population drinking patterns. Addiction, 101(1), 84-90. doi:10.1111/ j.1360-0443.2005.01294.x
    • Skog, O. J. (2006). Alcohol and the so-called prevention paradox: How does it look today? Addiction, 101(2), 155-158. doi:10.1111/j.1360-0443.2006.01319.x
    • Slutske, W. S., Eisen, S. A., True, W. R., Lyons, M. J., Goldberg, J., & Tsuang, M. T. (2000). Common genetic vulnerability for pathological gambling and alcohol dependence in men. Archives of General Psychiatry, 57, 666-673. doi:10.1001/ archpsyc.57.7.666
    • Slutske, W. S., Eisen, S. A., Xian, H., True, W. R., Lyons, M. J., Goldberg, J., & Tsuang, M. (2001). A twin study of the association between pathological gambling and antisocial personality disorder. Journal of Abnormal Psychology, 110, 297- 308. doi:10.1037/0021-843X.110.2.297
    • Slutske, W. S., Jackson, K. M., & Sher, K. J. (2003). The natural history of problem gambling from age 18 to 29. Journal of Abnormal Psychology, 112(2), 263-274. doi:10.1037/0021- 843X.112.2.263
    • Sproston, K., Erens, B., & Orford, J. (2000). Gambling behaviour in Britain: Results from the British Gambling Prevalence Survey. London, United Kingdom: National Centre for Social Research.
    • Svetieva, E., & Walker, M. (2008). Inconsistency between concept and measurement: The Canadian Problem Gambling Index (CPGI). Journal of Gambling Issues, 22, 157-173. doi:10.4309/jgi.2008.22.2
    • Toce-Gerstein, M., Gerstein, D. R., & Volberg, R. A. (2003). A hierarchy of gambling disorders in the community. Addiction, 98(12), 1661-1672. doi:10.1111/j.1360-0443.2003. 00545.x
    • Wardle, H. (2015). Gambling behaviour in Britain. New York, NY: Routledge.
    • Wardle, H., Moody, A., Griffiths, M., Orford, J., & Volberg, R. (2011a). Defining the online gambler and patterns of behaviour integration: Evidence from the British Gambling Prevalence Survey 2010. International Gambling Studies, 11(3), 339-356. doi:10.1080/14459795.2011.628684
    • Wardle, H., Moody, A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M., Hussey, D., & Dobbie, F. (2011b). British Gambling Prevalence Survey 2010. London, United Kingdom: The Stationery Office.
    • Wood, R. T., & Williams, R. J. (2007). 'How much money do you spend on gambling?' The comparative validity of question wordings used to assess gambling expenditure. International Journal of Social Research Methodology, 10(1), 63-77. doi:10.1080/13645570701211209
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