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Journal of Gambling Studies

, Volume 26, Issue 3, pp 387–399 | Cite as

Internet Gamblers: A Latent Class Analysis of Their Behaviours and Health Experiences

  • Joanne Lloyd
  • Helen Doll
  • Keith Hawton
  • William H. Dutton
  • John R. Geddes
  • Guy M. Goodwin
  • Robert D. Rogers
Original Paper

Abstract

In order to learn about the behaviours and health experiences of people who gamble on the Internet, we conducted an international online survey with respondents recruited via gambling and gambling-related websites. The mean (SD) age of the 4,125 respondents completing the survey was 35.5 (11.8) years, with 79.1% being male and 68.8% UK residents. Respondents provided demographic details and completed validated psychometric screening instruments for problem gambling, mood disturbances, as well as alcohol and substance misuse, and history of deliberate self harm. We applied latent class analysis to respondents’ patterns of regular online gambling activities, and identified subgroups of individuals who used the Internet to gamble in different ways (L 2 = 44.27, bootstrap P = 0.07). We termed the characteristic profiles as ‘non-to-minimal gamblers’; ‘sports bettors’; ‘casino & sports gamblers’; ‘lottery players’; and ‘multi-activity gamblers’. Furthermore, these subgroups of respondents differed on other demographic and psychological dimensions, with significant inter-cluster differences in proportion of individuals scoring above threshold for problem gambling, mood disorders and substance misuse, and history of deliberate self harm (all Χ 2s > 23.4, all P-values <0.001). The ‘casino & sports’ and ‘multi-activity-gamblers’ clusters had the highest prevalence of mental disorder. Internet gamblers appear to be heterogeneous but composed of several subgroups, differing markedly on both demographic and clinical characteristics.

Keywords

Gambling Internet Gambling activities Mood disorders 

Notes

Acknowledgements

This research was supported by a grant from the Economic and Social Research Council (ESRC) and the Responsibility in Gambling Trust (RIGT). Funding bodies had no influence over design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. We thank the Remote Gaming Association (RGA); the European Gaming and Betting Association (EGBA); Dr. Ellen Helsper; Sue Simpkin; and Dr. Rebecca Chandler for their invaluable assistance throughout the project.

Supplementary material

10899_2010_9188_MOESM1_ESM.doc (1.3 mb)
Supplementary material 1 (DOC 1293 kb)

References

  1. American Psychiatric Association. (2000). In A. P. Association (Ed.), Diagnostic and statistical manual of mental disorders. Washington, DC: American Psychiatric Publishing Inc.Google Scholar
  2. Block, J. J. (2008). Issues for DSM-V: Internet addiction. American Journal of Psychiatry, 165, 306–307.CrossRefPubMedGoogle Scholar
  3. British Medical Association. (2007). Gambling addiction and its treatment within the NHS. A guide for healthcare professionals. London: British Medical Association.Google Scholar
  4. Cassano, G. B., Rucci, P., Frank, E., Fagiolini, A., Dell’Osso, L., Shear, M. K., et al. (2004). The mood spectrum in unipolar and bipolar disorder: Arguments for a unitary approach. American Journal of Psychiatry, 161, 1264–1269.CrossRefPubMedGoogle Scholar
  5. Chandler, R. A., Wang, P. W., Ketter, T. A., & Goodwin, G. M. (2008). A new US-UK diagnostic project: Mood elevation and depression in first-year undergraduates at Oxford and Stanford universities. Acta Psychiatrica Scandinavica, 118, 81–85.CrossRefPubMedGoogle Scholar
  6. Clarke, R., & Dempsey, G. (2001). The feasibility of regulating gambling on the Internet. Managerial and Decision Economics, 22, 125–132.CrossRefGoogle Scholar
  7. Ewing, J. A. (1984). Detecting alcoholism: The CAGE questionnaire. Journal of the American Medical Association, 252, 1905–1907.CrossRefPubMedGoogle Scholar
  8. Goldberg, D. P., Gater, R., Sartorius, N., Ustun, T. B., Piccinelli, M., Gureje, O., et al. (1997). The validity of two versions of the GHQ in the WHO study of mental illness in general health care. Psychological Medicine, 27, 191–197.CrossRefPubMedGoogle Scholar
  9. Griffiths, M. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies, 9, 101–120.CrossRefGoogle Scholar
  10. Griffiths, M. (2004). Betting your life on it. BMJ, 329, 1055–1056.CrossRefPubMedGoogle Scholar
  11. Griffiths, M., & Barnes, A. (2007). Internet gambling: An online empirical study among student gamblers. International Journal of Mental Health and Addiction, 6, 194–204.CrossRefGoogle Scholar
  12. Griffiths, M., Parke, A., Wood, R., & Parke, J. (2006). Internet gambling: An overview of psychosocial impacts. UNLV Gaming Research & Review Journal, 10, 13.Google Scholar
  13. Griffiths, M., Wardle, H., Orford, J., Sproston, K., & Erens, B. (2009). Sociodemographic correlates of Internet gambling: Findings from the 2007 British Gambling Prevalence Survey. Cyberpsychology & Behavior, 12, 199–202.CrossRefGoogle Scholar
  14. Hirschfeld, R. M., Williams, J. B., Spitzer, R. L., Calabrese, J. R., Flynn, L., Keck, P. E., Jr., et al. (2000). Development and validation of a screening instrument for bipolar spectrum disorder: The mood disorder questionnaire. American Journal of Psychiatry, 157, 1873–1875.CrossRefPubMedGoogle Scholar
  15. Hodgins, D. C., Mansley, C., & Thygesen, K. (2006). Risk factors for suicide ideation and attempts among pathological gamblers. American Journal on Addictions, 15, 303–310.CrossRefPubMedGoogle Scholar
  16. 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.PubMedGoogle Scholar
  17. LaBrie, R. A., Kaplan, S. A., Laplante, D. A., Nelson, S. E., & Shaffer, H. J. (2008). Inside the virtual casino: A prospective longitudinal study of actual Internet casino gambling. European Journal of Public Health, 18, 410–416.CrossRefPubMedGoogle Scholar
  18. LaBrie, R., LaPlante, D., Nelson, S., Schumann, A., & Shaffer, H. (2007). Assessing the playing field: A prospective longitudinal study of Internet sports gambling behavior. Journal of Gambling Studies, 23, 347–362.CrossRefGoogle Scholar
  19. Ladd, G. T., & Petry, N. M. (2002). Disordered gambling among university-based medical and dental patients: A focus on Internet gambling. Psychology of Addictive Behaviors, 16, 76–79.CrossRefPubMedGoogle Scholar
  20. Ladouceur, R., Boisvert, J. M., Pépin, M., Loranger, M., & Sylvain, C. (1994). Social cost of pathological gambling. Journal of Gambling Studies, 10, 399–409.CrossRefGoogle Scholar
  21. LaPlante, D. A., Nelson, S. E., LaBrie, R. A., & Shaffer, H. J. (2009). Disordered gambling, type of gambling and gambling involvement in the British Gambling Prevalence Survey 2007. European Journal of Public Health, 1–6.Google Scholar
  22. McBride, J., & Derevensky, J. L. (2009). Internet gambling behavior in a sample of online gamblers. International Journal of Mental Health & Addiction, 7, 149–167.CrossRefGoogle Scholar
  23. McIntyre, R. S., McElroy, S. L., Konarski, J. Z., Soczynska, J. K., Wilkins, K., & Kennedy, S. H. (2007). Problem gambling in bipolar disorder: Results from the Canadian Community Health Survey. Biological Psychiatry, 61, 223s–224s.CrossRefGoogle Scholar
  24. Merikangas, K. R., Akiskal, H. S., Angst, J., Greenberg, P. E., Hirschfeld, R. M., Petukhova, M., et al. (2007). Lifetime and 12-month prevalence of bipolar spectrum disorder in the National Comorbidity Survey replication. Archives of General Psychiatry, 64, 543–552.CrossRefPubMedGoogle Scholar
  25. Nower, L., Derevensky, J. L., & Gupta, R. (2004). The relationship of impulsivity, sensation seeking, coping, and substance use in youth gamblers. Psychology of Addictive Behaviors, 18, 49–55.CrossRefPubMedGoogle Scholar
  26. Petry, N. M. (2003). A comparison of treatment-seeking pathological gamblers based on preferred gambling activity. Addiction, 98, 645–655.CrossRefPubMedGoogle Scholar
  27. 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.CrossRefPubMedGoogle Scholar
  28. Petry, N. M., & Weinstock, J. (2007). Internet gambling is common in college students and associated with poor mental health. American Journal on Addictions, 16, 325–330.CrossRefPubMedGoogle Scholar
  29. Shaw, M. C., Forbush, K. T., Schlinder, J., Rosenman, E., & Black, D. W. (2007). The effect of pathological gambling on families, marriages, and children. CNS Spectrums, 12, 615–622.PubMedGoogle Scholar
  30. Siegel, S. (1956). Nonparametric statistics for the behavioral sciences. New York: McGraw Hill.Google Scholar
  31. Skinner, H. A. (1982). The drug abuse screening test. Addictive Behaviors, 7, 363–371.CrossRefPubMedGoogle Scholar
  32. Spitzer, R. L., Williams, J. B., Kroenke, K., Linzer, M., deGruy, F. V., 3rd, Hahn, S. R., et al. (1994). Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study. JAMA, 272, 1749–1756.CrossRefPubMedGoogle Scholar
  33. Stucki, S., & Rihs-Middel, M. (2007). Prevalence of adult problem and pathological gambling between 2000 and 2005: An update. Journal of Gambling Studies, 23, 245–257.CrossRefGoogle Scholar
  34. Toneatto, T., & Millar, G. (2004). Assessing and treating problem gambling: Empirical status and promising trends. Canadian Journal of Psychiatry, 49, 517–525.Google Scholar
  35. Vermunt, J. K., & Magidson, J. (2003). Latent gold 3.0 user’s guide. Belmont, MA: Statistical Innovations Inc.Google Scholar
  36. Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M., Constantine, R., & Piggott, S. (2007). In T. G. Commission (Ed.) British Gambling Prevalence Survey 2007. London: National Centre for Social Research.Google Scholar
  37. Welte, J. W., Barnes, G. M., Wieczorek, W. F., Tidwell, M.-C. O., & Hoffman, J. H. (2007). Type of gambling and availability as risk factors for problem gambling: A tobit regression analysis by age and gender. International Gambling Studies, 7, 183–198.CrossRefGoogle Scholar
  38. Wood, R. T. A., & Griffiths, M. D. (2007a). Online guidance, advice, and support for problem gamblers and concerned relatives and friends: An evaluation of the GamAid pilot service. British Journal of Guidance & Counselling, 35, 373–389.CrossRefGoogle Scholar
  39. Wood, R. T. A., & Griffiths, M. D. (2007b). Online data collection from gamblers: Methodological issues. International Journal of Mental Health Addiction, 5, 13.Google Scholar
  40. Wood, R. T., Griffiths, M. D., & Parke, J. (2007). Acquisition, development, and maintenance of online poker playing in a student sample. Cyberpsychology and Behavior, 10, 354–361.CrossRefPubMedGoogle Scholar
  41. Wood, R. T., & Williams, R. J. (2007). Problem gambling on the Internet: Implications for Internet gambling policy in North America. New Media & Society, 9, 520–542.CrossRefGoogle Scholar
  42. Wood, R. T., & Williams, R. J. (2009). Internet gambling: Prevalence, patterns, problems, and policy options. Final report prepared for the Ontario Problem Gambling Research Centre, Guelph, Ontario.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Joanne Lloyd
    • 1
  • Helen Doll
    • 2
  • Keith Hawton
    • 1
  • William H. Dutton
    • 3
  • John R. Geddes
    • 1
  • Guy M. Goodwin
    • 1
  • Robert D. Rogers
    • 1
  1. 1.Department of Psychiatry, Warneford HospitalOxford UniversityOxfordUK
  2. 2.Department of Public HealthOxford UniversityOxfordUK
  3. 3.Oxford Internet InstituteOxfordUK

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