Excessive Gambling and Online Gambling Communities

Original Paper

Abstract

The Internet provides an accessible context for online gambling and gambling-related online communities, such as discussion forums for gamblers. These communities may be particularly attractive to young gamblers who are active Internet users. The aim of this study was to examine the use of gambling-related online communities and their relevance to excessive gambling among 15–25-year-old Finnish Internet users (N = 1200). Excessive gambling was assessed by using the South Oaks Gambling Screen. Respondents were asked in a survey about their use of various kinds of gambling-related online communities, and sociodemographic and behavioral factors were adjusted. The results of the study revealed that over half (54.33%) of respondents who had visited gambling-related online communities were either at-risk gamblers or probable pathological gamblers. Discussion in these communities was mainly based on sharing gambling tips and experiences, and very few respondents said that they related to gambling problems and recovery. In three different regression models, visiting gambling-related online communities was a significant predictor for excessive gambling (with 95% confidence level) even after adjusting confounding factors. The association of visiting such sites was even stronger among probable pathological gamblers than among at-risk gamblers. Health professionals working with young people should be aware of the role of online communities in terms of development and persistence of excessive gambling. Monitoring the use of online gambling communities as well as utilizing recovery-oriented support both offline and online would be important in preventing further problems. Gambling platforms should also include warnings about excessive gambling and provide links to helpful sources.

Keywords

Gambling Excessive gambling Internet Online communities 

Notes

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

Human and Animal Rights

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

References

  1. Autio, M., Wilska, T. A., Kaartinen, R., & Lähteenmaa, J. (2009). The use of small instant loans among young adults—A gateway to a consumer insolvency? International Journal of Consumer Studies, 33(4), 407–415.CrossRefGoogle Scholar
  2. Barrault, S., & Varescon, I. (2013). Cognitive distortions, anxiety, and depression among regular and pathological gambling online poker players. Cyberpsychology, Behavior, and Social Networking, 16(3), 183–188.CrossRefGoogle Scholar
  3. Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: A systematic narrative review. Children and Youth Services Review, 41, 27–36.CrossRefGoogle Scholar
  4. Binde, P. (2009a). Gambling motivation and involvement: A review of social science research. Stockholm: Swedish National Institute of Public Health.Google Scholar
  5. Binde, P. (2009b). Exploring the impact of gambling advertising: An interview study of problem gamblers. International Journal of Mental Health and Addiction, 7(4), 541–554.CrossRefGoogle Scholar
  6. Biolcati, R., Passini, S., & Griffiths, M. D. (2015). All-in and bad beat: Professional poker players and pathological gambling. International Journal of Mental Health and Addiction, 13(1), 19–32.CrossRefGoogle Scholar
  7. Blanco, C., Hasin, D. S., Petry, N., Stinson, F. S., & Grant, B. F. (2006). Sex differences in subclinical and DSM-IV pathological gambling: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychological Medicine, 36(7), 943–953.PubMedCrossRefGoogle Scholar
  8. Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499.PubMedCrossRefGoogle Scholar
  9. Calado, F., Alexandre, J., & Griffiths, M. D. (2017). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambling Studies, 33(2), 397–424.PubMedCrossRefGoogle Scholar
  10. Caputo, A. (2015). Sharing problem gamblers’ experiences: A text analysis of gambling stories via online forum. Mediterranean Journal of Clinical Psychology, 3(1), 1–26.Google Scholar
  11. Castrén, S., Basnet, S., Salonen, A. H., Pankakoski, M., Ronkainen, J. E., Alho, H., et al. (2013). Factors associated with disordered gambling in Finland. Substance Abuse Treatment, Prevention, and Policy, 8, 24.PubMedPubMedCentralCrossRefGoogle Scholar
  12. 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
  13. Cotte, J., & Latour, K. A. (2008). Blackjack in the kitchen: Understanding online versus casino gambling. Journal of Consumer Research, 35(5), 742–758.CrossRefGoogle Scholar
  14. Daine, K., Hawton, K., Singaravelu, V., Stewart, A., Simkin, S., & Montgomery, P. (2013). The power of the web: A systematic review of studies of the influence of the internet on self-harm and suicide in young people. PLoS ONE, 8(10), e77555.PubMedPubMedCentralCrossRefGoogle Scholar
  15. De Freitas, S., & Griffiths, M. (2008). The convergence of gaming practices with other media forms: What potential for learning? A review of the literature. Learning, Media and Technology, 33(1), 11–20.CrossRefGoogle Scholar
  16. Edgren, R., Castrén, S., Mäkelä, M., Pörtfors, P., Alho, H., & Salonen, A. H. (2016). Reliability of instruments measuring at-risk and problem gambling among young individuals: A systematic review covering years 2009–2015. Journal of Adolescent Health, 58(6), 600–615.PubMedCrossRefGoogle Scholar
  17. Gainsbury, S., & Blaszczynski, A. (2011). Online self-guided interventions for the treatment of problem gambling. International Gambling Studies, 11(3), 289–308.CrossRefGoogle Scholar
  18. Gainsbury, S., Hing, N., & Suhonen, N. (2014). Professional help-seeking for gambling problems: Awareness, barriers and motivators for treatment. Journal of Gambling Studies, 30(2), 503–519.PubMedCrossRefGoogle Scholar
  19. Gainsbury, S. M., Russell, A., Wood, R., Hing, N., & Blaszczynski, A. (2015). How risky is Internet gambling? A comparison of subgroups of Internet gamblers based on problem gambling status. New Media & Society, 17(6), 861–879.CrossRefGoogle Scholar
  20. Goodie, A. S., MacKillop, J., Miller, J. D., Fortune, E. E., Maples, J., Lance, C. E., et al. (2013). Evaluating the South Oaks Gambling Screen with DSM-IV and DSM-V criteria: Results from a diverse community sample of gamblers. Assessment, 20(5), 523–531.PubMedPubMedCentralCrossRefGoogle Scholar
  21. Griffiths, M. (2003). Internet gambling: Issues, concerns, and recommendations. CyberPsychology & Behavior, 6(6), 557–568.CrossRefGoogle Scholar
  22. Griffiths, M., Parke, J., Wood, R., & Rigbye, J. (2010). Online poker gambling in university students: Further findings from an online survey. International Journal of Mental Health and Addiction, 8(1), 82–89.CrossRefGoogle Scholar
  23. Hardoon, K. K., Gupta, R., & Derevensky, J. L. (2004). Psychosocial variables associated with adolescent gambling. Psychology of Addictive Behaviors, 18(2), 170–179.PubMedCrossRefGoogle Scholar
  24. Hartmann, M., & Blaszczynski, A. (2018). The longitudinal relationships between psychiatric disorders and gambling disorders. International Journal of Mental Health and Addiction, 16(1), 16–44.CrossRefGoogle Scholar
  25. Hing, N., Cherney, L., Blaszczynski, A., Gainsbury, S. M., & Lubman, D. I. (2014). Do advertising and promotions for online gambling increase gambling consumption? An exploratory study. International Gambling Studies, 14(3), 394–409.CrossRefGoogle Scholar
  26. Hing, N., Russell, A. M., Gainsbury, S. M., & Nuske, E. (2016a). The public stigma of problem gambling: Its nature and relative intensity compared to other health conditions. Journal of Gambling Studies, 32(3), 847–864.PubMedCrossRefGoogle Scholar
  27. Hing, N., Russell, A., Tolchard, B., & Nower, L. (2016b). Risk factors for gambling problems: An analysis by gender. Journal of Gambling Studies, 32(2), 511–534.PubMedCrossRefGoogle Scholar
  28. Hoorn, J., Crone, E. A., & Leijenhorst, L. (2017). Hanging out with the right crowd: Peer influence on risk-taking behavior in adolescence. Journal of Research on Adolescence, 27(1), 189–200.PubMedCrossRefGoogle Scholar
  29. Horch, J. D., & Hodgins, D. C. (2008). Public stigma of disordered gambling: Social distance, dangerousness, and familiarity. Journal of Social and Clinical Psychology, 27(5), 505–528.CrossRefGoogle Scholar
  30. Huang, G. C., Unger, J. B., Soto, D., Fujimoto, K., Pentz, M. A., Jordan-Marsh, M., et al. (2014). Peer influences: The impact of online and offline friendship networks on adolescent smoking and alcohol use. Journal of Adolescent Health, 54(5), 508–514.PubMedCrossRefGoogle Scholar
  31. Joinson, A. N. (2001). Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity. European Journal of Social Psychology, 31(2), 177–192.CrossRefGoogle Scholar
  32. King, D., Delfabbro, P., & Griffiths, M. (2010). The convergence of gambling and digital media: Implications for gambling in young people. Journal of Gambling Studies, 26(2), 175–187.PubMedCrossRefGoogle Scholar
  33. Kuss, D. J., Griffiths, M., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 4026–4052.PubMedCrossRefGoogle Scholar
  34. Lehdonvirta, V., & Räsänen, P. (2011). How do young people identify with online and offline peer groups? A comparison between UK, Spain and Japan. Journal of Youth Studies, 14(1), 91–108.CrossRefGoogle Scholar
  35. 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), 1184–1188.PubMedCrossRefGoogle Scholar
  36. Lind, K., Kääriäinen, J., & Kuoppamäki, S. M. (2015). From problem gambling to crime? Findings from the Finnish national police information system. Journal of Gambling Issues, 30, 98–123.CrossRefGoogle Scholar
  37. Livingstone, S., & Helsper, E. J. (2007). Taking risks when communicating on the Internet: The role of offline social-psychological factors in young people’s vulnerability to online risks. Information, Communication & Society, 10(5), 619–644.CrossRefGoogle Scholar
  38. 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.PubMedCrossRefGoogle Scholar
  39. Martin, R. J., Usdan, S., Cremeens, J., & Vail-Smith, K. (2014). Disordered gambling and co-morbidity of psychiatric disorders among college students: An examination of problem drinking, anxiety and depression. Journal of Gambling Studies, 30(2), 321–333.PubMedCrossRefGoogle Scholar
  40. McNamara, N., & Parsons, H. (2016). ‘Everyone here wants everyone else to get better’: The role of social identity in eating disorder recovery. British Journal of Social Psychology, 55(4), 662–680.PubMedCrossRefGoogle Scholar
  41. Meerkerk, G. J., Van Den Eijnden, R. J., Vermulst, A. A., & Garretsen, H. F. (2009). The compulsive internet use scale (CIUS): Some psychometric properties. Cyberpsychology & Behavior, 12(1), 1–6.CrossRefGoogle Scholar
  42. Mitchell, K. J., Finkelhor, D., Wolak, J., Ybarra, M. L., & Turner, H. (2011). Youth internet victimization in a broader victimization context. Journal of Adolescent Health, 48(2), 128–134.PubMedCrossRefGoogle Scholar
  43. Monaghan, S., & Wood, R. T. (2010). Internet-based interventions for youth dealing with gambling problems. International Journal of Adolescent Medicine and Health, 22(1), 113.PubMedGoogle Scholar
  44. Mudry, T. E., & Strong, T. (2013). Doing recovery online. Qualitative Health Research, 23(3), 313–325.PubMedCrossRefGoogle Scholar
  45. Noll, J. G., Shenk, C. E., Barnes, J. E., & Haralson, K. J. (2013). Association of maltreatment with high-risk internet behaviors and offline encounters. Pediatrics, 131(2), e510–e517.PubMedPubMedCentralCrossRefGoogle Scholar
  46. O’Leary, K., & Carroll, C. (2013). The online poker sub-culture: Dialogues, interactions and networks. Journal of Gambling Studies, 29(4), 613–630.PubMedCrossRefGoogle Scholar
  47. Oksanen, A., Aaltonen, M., & Rantala, K. (2016). Debt problems and life transitions: A register-based panel study of Finnish young people. Journal of Youth Studies, 19(9), 1184–1203.CrossRefGoogle Scholar
  48. Orford, J. (2001). Excessive appetites: A psychological view of addictions. New York: Wiley.Google Scholar
  49. Parke, A., & Griffiths, M. (2013). Poker gambling virtual communities: The use of computer-mediated communication to develop cognitive poker gambling skills. In R. Zheng (ed.), Evolving psychological and educational perspectives on cyber behavior (pp. 190–204). IGI Global.Google Scholar
  50. Petry, N. M., Blanco, C., Stinchfield, R., & Volberg, R. (2013). An empirical evaluation of proposed changes for gambling diagnosis in the DSM-5. Addiction, 108(3), 575–581.PubMedCrossRefGoogle Scholar
  51. 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. The Journal of Clinical Psychiatry, 66(5), 564–574.PubMedCrossRefGoogle Scholar
  52. Petry, N. M., & Weiss, L. (2009). Social support is associated with gambling treatment outcomes in pathological gamblers. The American Journal on Addictions, 18(5), 402–408.PubMedPubMedCentralCrossRefGoogle Scholar
  53. Phillips, J. G., Ogeil, R. P., & Blaszczynski, A. (2012). Electronic interests and behaviours associated with gambling problems. International Journal of Mental Health and Addiction, 10(4), 585–596.CrossRefGoogle Scholar
  54. Raisamo, S., Halme, J., Murto, A., & Lintonen, T. (2013). Gambling-related harms among adolescents: A population-based study. Journal of Gambling Studies, 29(1), 151–159.PubMedCrossRefGoogle Scholar
  55. Romanczuk-Seiferth, N., Van Den Brink, W., & Goudriaan, A. E. (2014). From symptoms to neurobiology: Pathological gambling in the light of the new classification in DSM-5. Neuropsychobiology, 70(2), 95–102.PubMedCrossRefGoogle Scholar
  56. Salonen, A., & Raisamo, S. (2015). Suomalaisten rahapelaaminen 2015-Rahapelaaminen, rahapeliongelmat ja rahapelaamiseen liittyvät asenteet ja mielipiteet 15-74-vuotiailla. [Finnish gambling 2015. Gambling, gambling problems, and attitudes and opinions on gambling among Finns aged 15–74.] National Institute for Health and Welfare (THL). Report 16/2015.Google Scholar
  57. Shaffer, H. J., Hall, M. N., & Vander Bilt, J. (1999). Estimating the prevalence of disordered gambling behavior in the United States and Canada: A research synthesis. American Journal of Public Health, 89(9), 1369–1376.PubMedPubMedCentralCrossRefGoogle Scholar
  58. Shead, N. W., Walsh, K., Taylor, A., Derevensky, J. L., & Gupta, R. (2011). Youth gambling prevention: Can public service announcements featuring celebrity spokespersons be effective? International Journal of Mental Health and Addiction, 9(2), 165–179.CrossRefGoogle Scholar
  59. Sleczka, P., Braun, B., Piontek, D., Bühringer, G., & Kraus, L. (2015). DSM-5 criteria for gambling disorder: Underlying structure and applicability to specific groups of gamblers. Journal of Behavioral Addictions, 4(4), 226–235.PubMedPubMedCentralCrossRefGoogle Scholar
  60. Spada, M. M. (2014). An overview of problematic Internet use. Addictive Behaviors, 39(1), 3–6.PubMedCrossRefGoogle Scholar
  61. Splevins, K., Mireskandari, S., Clayton, K., & Blaszczynski, A. (2010). Prevalence of adolescent problem gambling, related harms and help-seeking behaviours among an Australian population. Journal of Gambling Studies, 26(2), 189–204.PubMedCrossRefGoogle Scholar
  62. Statistics Finland. (2016). Population structure in Finland. Statistics Finland PX-Web Database. http://pxnet2.stat.fi/PXWeb/pxweb/fi/StatFin/. Accessed 15 August 2017.
  63. Suler, J. (2004). The online disinhibition effect. Cyberpsychology & Behavior, 7(3), 321–326.CrossRefGoogle Scholar
  64. Syed-Abdul, S., Fernandez-Luque, L., Jian, W. S., Li, Y. C., Crain, S., Hsu, M. H., et al. (2013). Misleading health-related information promoted through video-based social media: Anorexia on YouTube. Journal of Medical Internet Research, 15(2), e30.PubMedPubMedCentralCrossRefGoogle Scholar
  65. Van Rooij, A., & Prause, N. (2014). A critical review of “Internet addiction” criteria with suggestions for the future. Journal of Behavioral Addictions, 3(4), 203–213.PubMedCrossRefGoogle Scholar
  66. 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.PubMedGoogle Scholar
  67. WHO. (2017). Gambling disorder. In ICD-11 (beta draft). http://apps.who.int/classifications/icd11/browse/f/en#/http%3a%2f%2fid.who.int%2ficd%2fentity%2f1041487064. Accessed 20 August 2017.
  68. Worthy, S. L., Jonkman, J., & Blinn-Pike, L. (2010). Sensation-seeking, risk-taking, and problematic financial behaviors of college students. Journal of Family and Economic Issues, 31(2), 161–170.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of Social SciencesUniversity of TampereTampereFinland

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