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Characteristics and Predictors of Problem Gambling on the Internet

  • Abby McCormack
  • Gillian W. Shorter
  • Mark D. Griffiths
Article

Abstract

Internet gambling participation is rapidly increasing, however little is known about potential links between internet gambling and problem gambling. This study examined the predictors of online problem gambling and whether these differed from established predictors of offline problem gambling. Data were obtained online in response to posts on 32 international gambling websites (n = 1,119). Potential correlates included demographic questions, gambling activities, frequency of gambling, and reasons for gambling online. Multinomial logistic regression revealed that compared to non-problem gamblers, online problem gamblers were more likely to be male, smoke cigarettes, gamble alone, have a disability, lie about their age online, gamble online for more than 4 h at a time, engage in two or more online gambling activities regularly, gamble after a near miss, and drink alcohol while gambling online. Therefore, characteristics predictive of offline problem gambling are similar to those predicting online problem gambling. As a result online gambling could potentially be problematic for those individuals who have problems with gambling more generally.

Keywords

Problem gambling Online gambling Internet gambling Gambling comorbidity Structural characteristics 

References

  1. American Gaming Association. (2008). State of the States: The AGA Survey of Casino Entertainment 2008. http://www.americangaming.org/assets/files/aga_2008_sos.pdf.
  2. American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders. Washington, DC: APA.Google Scholar
  3. Bergh, C., & Kuhlorn, E. (1994). Social, psychological, and physical consequences of pathological gambling in Sweden. Journal of Gambling Studies, 10, 275–285.PubMedCrossRefGoogle Scholar
  4. Blaszczynski, A., Wilson, A., & McConaghy, N. (1986). Sensation seeking and pathological gambling. British Journal of Addiction, 81, 113–117.PubMedCrossRefGoogle Scholar
  5. Blaszczynski, A., Dumlao, V., & Lange, M. (1997). How much do you spend gambling? Ambiguities in survey question items. Journal of Gambling Studies, 13, 237–252.PubMedCrossRefGoogle Scholar
  6. Braverman, J., & Shaffer, H. (2012). How do gamblers start gambling: Identifying behavioural markers for high-risk internet gambling. European Journal of Public Health, 22, 278–280.CrossRefGoogle Scholar
  7. Clark, L., Lawrence, A. J., Astley-Jones, F., & Gray, N. (2009). Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry. Neuron, 61, 481–490.PubMedCrossRefGoogle Scholar
  8. Clarke, D., Tse, S., Abbott, M., Townsend, S., Kingi, P., & Manaia, W. (2007). Reasons for starting and continuing gambling in a mixed ethnic community sample of pathological and non-problem gamblers. International Gambling Studies, 7, 299–313.CrossRefGoogle Scholar
  9. Corney, R., & Davis, J. (2010). The attractions and risks of internet gambling for women: a qualitative study. Journal of Gambling Issues, 24, 121–139.CrossRefGoogle Scholar
  10. Derevensky, J. L., & Gupta, R. (2000). Prevalence estimates of adolescent gambling: A comparison of SOGS-RA, DSM-IV-J and the G.A. 20 questions. Journal of Gambling Studies, 16, 227–251.Google Scholar
  11. Eadington, W. (2004). The future of online gambling in the United States and elsewhere. Journal of Public Policy and Marketing, 23, 214–219.CrossRefGoogle Scholar
  12. Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Ottawa: Canadian Centre on Substance Abuse.Google Scholar
  13. Gainsbury, S., Wood, R., Russell, A., Hing, N., & Blaszczynski, A. (2012). A digital revolution: comparison of demographic profiles, attitudes and gambling behaviour of internet and non-internet gamblers. Computers in Human Behavior, 28, 1388–1398.CrossRefGoogle Scholar
  14. Grant, J., & Kim, S. (2001). Demographic and clinical features of 131 adult pathological gamblers. The Journal of Clinical Psychiatry, 62, 957–962.PubMedCrossRefGoogle Scholar
  15. Griffiths, M. (1999). Gambling technologies: prospects for problem gamblers. Journal of Gambling Studies, 15, 265–283.PubMedCrossRefGoogle Scholar
  16. Griffiths, M. (2003). Internet gambling: issues, concerns and recommendations. Cyberpsychology & Behavior, 6, 557–568.CrossRefGoogle Scholar
  17. Griffiths, M. (2004). Betting your life on it. British Medical Journal, 329, 1055–1056.PubMedCrossRefGoogle Scholar
  18. Griffiths, M. D. (2006). An overview of pathological gambling. In T. Plante (Ed.), Mental disorders of the new millennium. Vol. I: Behavioral issues (pp. 73–98). New York: Greenwood.Google Scholar
  19. Griffiths, M. (2007). Gambling addiction and its treatment within the NHS: A guide for healthcare professionals. London: British Medical Association.Google Scholar
  20. Griffiths, M., & Barnes, A. (2008). Internet gambling: an online empirical study among student gamblers. International Journal of Mental Health and Addiction, 6, 194–204.CrossRefGoogle Scholar
  21. Griffiths, M., & Parke, J. (2002). The social impact of internet gambling. Social Science Computer Review, 20, 312–320.Google Scholar
  22. Griffiths, M. D., & Parke, J. (2010). Adolescent gambling on the internet: a review. International Journal of Adolescent Medicine and Health, 22, 59–75.PubMedGoogle Scholar
  23. 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, 104–117.Google Scholar
  24. Griffiths, M., Parke, A., Wood, R., & Parke, J. (2006). Internet gambling: an overview of psychosocial impacts. Gaming Research and Review Journal, 27, 27–39.Google Scholar
  25. Griffiths, M., Wardle, J., Orford, J., Sproston, K., & Erens, B. (2009). Socio-demographic correlates of internet gambling: findings from the 2007 British Gambling Prevalence Survey. Cyberpsychology & Behavior, 12, 199–202.CrossRefGoogle Scholar
  26. Griffiths, M. D., Wardle, J., Orford, J., Sproston, K., & Erens, B. (2010). Gambling, alcohol consumption, cigarette smoking and health: findings from the 2007 British Gambling Prevalence Survey. Addiction Research and Theory, 18, 208–223.CrossRefGoogle Scholar
  27. Holtgraves, T. (2009). Evaluating the problem gambling severity index. Journal of Gambling Studies, 25, 105–120.PubMedCrossRefGoogle Scholar
  28. Ialomiteanu, A., & Adlaf, E. (2001). Internet gambling among Ontario adults. Electronic Journal of Gambling Issues [online], 5, 12/02/08. Available at: http://www.camh.net/egambling/issue5/research/ialomiteanu_adlaf_article.html.
  29. Jacobs, D. (1986). A general theory of addictions: a new theoretical model. Journal of Gambling Studies, 2, 15–31.CrossRefGoogle Scholar
  30. Johansson, A., Grant, J. E., Kim, S. W., Odlaug, B. L., & Gotestam, K. (2009). Risk factors for problematic gambling: a critical literature review. Journal of Gambling Studies, 25, 67–92.PubMedCrossRefGoogle Scholar
  31. Kassinove, J., & Schare, M. (2001). Effects of the ‘near miss’ and the ‘big win’ on persistance at slot machine gambling. Psychology of Addictive Behaviors, 15, 155–158.PubMedCrossRefGoogle Scholar
  32. Ladd, G., & Petry, N. (2002). Disordered gambling among university-based medical and dental patients: a focus on internet gambling. Psychology of Addictive Behaviors, 16, 76–79.PubMedCrossRefGoogle Scholar
  33. LaPlante, D., Nelson, S., LaBrie, R., & Shaffer, H. (2006). Men and women playing games: gender and the gambling preferences of Iowa gambling treatment program participants. Journal of Gambling Studies, 22, 65–80.PubMedCrossRefGoogle Scholar
  34. Lesieur, H., & Blume, S. (1987). The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers. The American Journal of Psychiatry, 144, 1184–1188.PubMedGoogle Scholar
  35. 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, 490–498.PubMedCrossRefGoogle Scholar
  36. McBride, J., & Derevensky, J. (2009). Internet gambling behaviour in a sample of online gamblers. International Journal of Mental Health and Addiction, 7, 149–167.CrossRefGoogle Scholar
  37. McCormack, A., & Griffiths, M. (2011). The effects of problem gambling on quality of life and wellbeing: a qualitative comparison of online and offline problem gamblers. Gambling Research: Journal of the National Association for Gambling Studies, 23, 63–81.Google Scholar
  38. McCormack, A., & Griffiths, M. (2012). Motivating and inhibiting factors in online gambling behaviour: a grounded theory study. International Journal of Mental Health and Addiction, 10, 39–53.CrossRefGoogle Scholar
  39. Moore, T. (2006). The prevalence of disordered gambling among adults in Oregon: Areplication study. Portland: Oregon Gambling Addiction Treatment Foundation.Google Scholar
  40. Morahan-Martin, J., & Schumacher, P. (2003). Loneliness and social uses of the Internet. Computers in Human Behavior, 19, 659–671.CrossRefGoogle Scholar
  41. Morasco, B., & Petry, N. (2006). Gambling problems and health functioning in individuals receiving disability. Disability and Rehabilitation, 28, 619–623.PubMedCrossRefGoogle Scholar
  42. Morasco, B., vom Eigen, K., & Petry, N. (2006). Severity of gambling is associated with physical and emotional health in urban primary care patients. General Hospital Psychiatry, 28, 94–100.PubMedCrossRefGoogle Scholar
  43. Motivaction International. (2005). Netherlands participation in paid interactive internet gaming. http://www.toezichtkansspelen.nl/information.html.
  44. Nixon, G., Solowoniuk, J., Hagen, B., & Williams, J. (2005). “Double trouble”: The lived experience of problem and pathological gambling in later life. Journal of Gambling Issues, 14. Retrieved July 2, 2010 from http://www.camh.net/egambling/issue14/jgi_14_nixon.html.
  45. Olason, D. T., Kiristjansdottir, E., Einarsdottir, H., Haraldsson, H., Bjarnason, G., & Derevensky, J. L. (2011). Internet gambling and problem gambling among 13 to 18 year old adolescents in Iceland. International Journal of Mental Health and Addiction, 9, 257–263.CrossRefGoogle Scholar
  46. Ormel, J., Vonkorff, M., Ustun, T. B., Pini, S., Korten, A., & Olde-Hinkel, T. (1994). Common mental disorders and disability across cultures. Results from the WHO Collaborative Study on psychological problems in general health care. Journal of the American Medical Association, 272, 1741–1748.PubMedCrossRefGoogle Scholar
  47. Parke, J., & Griffiths, M. (2004). Gambling addiction and the evolution of the ‘Near Miss’. Addiction Research and Theory, 12, 407–411.CrossRefGoogle Scholar
  48. Parke, J., & Griffiths, M. D. (2006). The psychology of the fruit machine: the role of structural characteristics (revisited). International Journal of Mental Health and Addiction, 4, 151–179.CrossRefGoogle Scholar
  49. Pasternak, A., & Fleming, M. (1999). Prevalence of gambling disorders in a primary care setting. Archives of Family Medicine, 8, 515–520.PubMedCrossRefGoogle Scholar
  50. Phillips, J. G., Ogeil, R. P., & Blaszczynski, A. (2011). Electronic interests and behaviours associated with gambling problems. International Journal of Mental Health and Addiction. doi: 10.1007/s11469-011-9356-2.Google Scholar
  51. Reid, R. (1986). The psychology of the near miss. Journal of Gambling Behaviour, 2, 32–39.CrossRefGoogle Scholar
  52. Ricketts, T., & Macaskill, A. (2003). Gambling as emotion management: developing a grounded theory of problem gambling. Addiction Research and Theory, 11, 383–400.CrossRefGoogle Scholar
  53. Rockloff, M. J., & Dyer, V. (2006). The four E’s of problem gambling: a psychological measure of risk. Journal of Gambling Studies, 22, 101–120.PubMedCrossRefGoogle Scholar
  54. Shaffer, H. (2004). Internet gambling and addiction. Harvard Medical School. Division on Addictions.Google Scholar
  55. Shead, N. W., Derevensky, J. L., Fong, T. W., & Gupta, R. (2012). Characteristics of internet gamblers among a sample of students at a large, public university in southwestern United States. Journal of College Student Development, 53, 133–148.CrossRefGoogle Scholar
  56. Southwell, J., Boreham, P., & Laffan, W. (2008). Problem gambling and the circumstances facing older people: a study of gaming machine players aged 60+ in licensed clubs. Journal of Gambling Studies, 24, 151–174.PubMedCrossRefGoogle Scholar
  57. Spada, M., Langston, B., Nikcevic, A., & Moneta, G. (2008). The role of metacognitions in problematic internet use. Computers in Human Behavior, 24, 2325–2335.CrossRefGoogle Scholar
  58. Sproston, K., Erens, B., & Orford, J. (2000). Gambling behaviour in Britain: Results from the British prevalence survey. London: National Centre for Social Research.Google Scholar
  59. Steele, C., Kalnins, I., Rossen, B., Biggar, D., Bortolussi, J., & Jutai, J. (2004). Age-related health risk behaviours of adolescents with physical disabilities. Sozial- und Präventivmedizin, 49, 132–141.PubMedCrossRefGoogle Scholar
  60. Taber, J., McCormick, R., & Ramirez, L. (1987). The prevalence and impact of major life stressors among pathological gamblers. International Journal of the Addictions, 22, 44–48.Google Scholar
  61. Teo, P., Mythily, S., Anantha, S., & Winslow, M. (2007). Demographic and clinical features of 150 pathological gamblers referred to a community addictions programme. Annals of the Academy of Medicine, Singapore, 36, 165–168.PubMedGoogle Scholar
  62. Turner, N., Littman-Sharp, N., & Zangeneh, M. (2006). The experience of gambling and its role in problem gambling. International Gambling Studies, 6, 237–266.CrossRefGoogle Scholar
  63. Volberg, R. A., Nysse-Carris, K., & Gerstein, D. R. (2006). 2006 California problem gambling prevalence survey: Final report and appendices. Sacramento: Office of Problem Gambling.Google Scholar
  64. Volberg, R., Gupta, R., Griffiths, M. D., Olason, D., & Delfabbro, P. H. (2010). An international perspective on youth gambling prevalence studies. International Journal of Adolescent Medicine and Health, 22, 3–38.PubMedGoogle Scholar
  65. Walther, J. B. (1996). Computer-mediated communication: impersonal, interpersonal and hyperpersonal interaction. Communication Research, 23, 3–43.CrossRefGoogle Scholar
  66. Wardle, H., & Griffiths, M. (2011). Defining the ‘online gambler’: the British perspective. World Online Gambling Law Report, 10, 12–13.Google Scholar
  67. Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M., Constantine, R., et al. (2007). British gambling prevalence survey 2007. London: The Stationery Office.Google Scholar
  68. 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, 339–356.CrossRefGoogle Scholar
  69. Wardle, H., Moody, A., Spence, S., Orford, J., Volberg, R., Jotangia, D., et al. (2011b). British gambling prevalence survey 2010. London: The Stationery Office.Google Scholar
  70. Watson, S., Liddell, P., Moore, R., & Eshee, W. (2004). The legalisation of internet gambling: a consumer protection perspective. Journal of Public Policy and Marketing, 23, 209–213.CrossRefGoogle Scholar
  71. Welte, J., Barnes, G., Wiekzorek, W., Tidwell, M., & Parker, J. (2004). Risk factors for pathological gambling. Addictive Behaviors, 29, 323–335.PubMedCrossRefGoogle Scholar
  72. Wenzel, H., & Dahl, A. (2008). Female pathological gamblers—A critical review of the clinical findings. International Journal of Mental Health and Addiction, 7, 190–202.CrossRefGoogle Scholar
  73. Winters, K. C., Bengston, P., & Door, D. (1998). Prevalence and risk factors of problem gambling among college students. Psychology of Addictive Behaviours, 12, 127–135.CrossRefGoogle Scholar
  74. Wong, I. L. K. (2010). Internet gambling: a school-based survey among Macau students. Social Behavior and Personality, 38, 365–371.CrossRefGoogle Scholar
  75. Wood, R., & Griffiths, M. (2007a). A qualitative investigation of problem gambling as an escape-based coping strategy. Psychology and Psychotherapy: Theory, Research and Practice, 80, 107–125.CrossRefGoogle Scholar
  76. Wood, R., & Griffiths, M. (2007b). Online data collection from gamblers: methodological issues. International Journal of Mental Health and Addiction, 5, 151–163.CrossRefGoogle Scholar
  77. Wood, R., & Williams, R. (2007). Problem gambling on the internet: implications for internet gambling policy in North America. New Media & Society, 9, 520–542.CrossRefGoogle Scholar
  78. Wood, R., & Williams, R. (2009). Internet gambling: Prevalence, patterns, problems and policy options. Final Report prepared for the Ontario Problem Gambling Research Centre. Guelph, Ontario, Canada. January 5, 2009.Google Scholar
  79. Wood, R., Griffiths, M., & Parke, J. (2007a). Acquisition, development and maintenance of online poker playing in a student sample. Cyberpsychology & Behavior, 10, 354–361.CrossRefGoogle Scholar
  80. Wood, R., Williams, R., & Lawton, P. (2007b). Why do internet gamblers prefer online versus land-based venues? Some preliminary findings and implications. Journal of Gambling Issues, 20, 235–252.Google Scholar
  81. Wynne, H. (2003). Introducing the Canadian problem gambling index. Edmonton, AB: Wynne Resources.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Abby McCormack
    • 1
    • 2
  • Gillian W. Shorter
    • 3
    • 4
  • Mark D. Griffiths
    • 5
  1. 1.School of Clinical SciencesThe University of NottinghamNottinghamUK
  2. 2.NIHR Nottingham Hearing Biomedical Research UnitRopewalk HouseNottinghamUK
  3. 3.Bamford Centre for Mental Health and WellbeingUniversity of Ulster, Magee CampusLondonderryUK
  4. 4.MRC Trial Methodology HubUniversity of Ulster, Magee CampusLondonderryUK
  5. 5.International Gaming Research Unit, Division of PsychologyNottingham Trent UniversityNottinghamUK

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