Gambling and Sport: Implicit Association and Explicit Intention Among Underage Youth

  • En Li
  • Erika Langham
  • Matthew Browne
  • Matthew Rockloff
  • Hannah Thorne
Original Paper

Abstract

This study examined whether an implicit association existed between gambling and sport among underage youth in Australia, and whether this implicit association could shape their explicit intention to gamble. A sample of 14–17 year old Australian participants completed two phases of tasks, including an implicit association test based online experiment, and a post-experiment online survey. The results supported the existence of an implicit association between gambling and sport among the participants. This implicit association became stronger when they saw sport-relevant (vs. sport-irrelevant) gambling logos, or gambling-relevant (vs. gambling-irrelevant) sport names. In addition, this implicit association was positively related to the amount of sport viewing, but only among those participants who had more favorable gambling attitudes. Lastly, gambling attitudes and advertising knowledge, rather than the implicit association, turned out to be significant predictors of the explicit intention to gamble.

Keywords

Gambling Sport Implicit association Explicit intention Gambling attitudes Advertising knowledge 

Notes

Acknowledgements

This research was funded by a Grant from the Victorian Responsible Gambling Foundation. A previous version of this paper has been submitted as part of a research report to the Victorian Responsible Gambling Foundation.

Compliance with Ethical Standards

Conflict of interest

En Li has received research grants from the Victorian Responsible Gambling Foundation and Gambling Research Australia. Erika Langham has received research funds from the Victorian Responsible Gambling Foundation, Gambling Research Australia, Department of Human Services, New Zealand Ministry of Health, Menzies School of Health; received an Honorarium from Gambling Research Exchange Ontario; and had travel expenses paid by Gamble Aware and the Gambling Research Exchange Ontario. Matthew Browne has received grants from the Victorian Responsible Gambling Foundation, the New Zealand Ministry of Health and Gambling Research Australia. Matthew Rockloff has received research grants from the Queensland Treasury, the Victorian Treasury, the Victorian Responsible Gambling Foundation, the New Zealand Ministry of Health and Gambling Research Australia. Hannah Thorne has received research grant from the Victorian Responsible Gambling Foundation.

Ethical Approval

All procedures performed in this study 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. AFP. (2015). Global sports gambling worth ‘up to $3 trillion’. Retrieved from http://www.dailymail.co.uk/wires/afp/article-3040540/Global-sports-gambling-worth-3-trillion.html.
  2. Australian Communications and Media Authority (ACMA). (2015). Attachment B: Children’s television viewing—Analysis of audience data 2001–13. Retrieved from http://www.acma.gov.au/theACMA/Library/researchacma/Research-reports/childrens-television-viewing-research.
  3. Barnes, G. M., Welte, J. W., Hoffman, J. H., & Dintcheff, B. A. (2005). Shared predictors of youthful gambling, substance use, and delinquency. Psychology of Addictive Behaviors, 19(2), 165–174.CrossRefPubMedGoogle Scholar
  4. Bestman, A., Thomas, S. L., Randle, M., & Thomas, S. D. M. (2015). Children’s implicit recall of junk food, alcohol and gambling sponsorship in Australian sport. BMC Public Health, 15(1), 1022.CrossRefPubMedPubMedCentralGoogle Scholar
  5. Binde, P. (2009). 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. Borzekowski, D. L., & Robinson, T. N. (2001). The 30-second effect: An experiment revealing the impact of television commercials on food preferences of preschoolers. Journal of the American Dietetic Association, 101(1), 42–46.CrossRefPubMedGoogle Scholar
  7. Brevers, D., Cleeremans, A., Hermant, C., Tibboel, H., Kornreich, C., Verbanck, P., et al. (2013). Implicit gambling attitudes in problem gamblers: Positive but not negative implicit associations. Journal of Behavior Therapy and Experimental Psychiatry, 44(1), 94–97.CrossRefPubMedGoogle Scholar
  8. Chaxel, A. S. (2015). How do stereotypes influence choice? Psychological Science, 26(5), 641–645.CrossRefPubMedGoogle Scholar
  9. Clemens, F., Hanewinkel, R., & Morgenstern, M. (2017). Exposure to gambling advertisements and gambling behavior in young people. Journal of Gambling Studies, 33, 1–13.CrossRefPubMedGoogle Scholar
  10. Council of Australian Governments. (2011). Communique. Canberra: Australian Government. Retrieved from http://parlinfo.aph.gov.au/parlInfo/search/display/display.w3p;query=Id%3A%22media%2Fpressrel%2F2048116%22.
  11. Delfabbro, P., King, D., & Griffiths, M. D. (2014). From adolescent to adult gambling: An analysis of longitudinal gambling patterns in South Australia. Journal of Gambling Studies, 30, 547–563.CrossRefPubMedGoogle Scholar
  12. Derevensky, J. L., & Gilbeau, L. (2015). Adolescent gambling: Twenty-five years of research. Canadian Journal of Addiction, 6(2), 4–12.Google Scholar
  13. Foley-Train, J. (2014). Sports betting: Commercial and integrity issues. Report prepared for the Association of British Bookmakers, European Gaming and Betting Association, European Sport Security Association and Remote Gambling Association. Retrieved from http://www.egba.eu/media/Sports-Betting-Report-FINAL.pdf.
  14. Fricker, R. D., Jr. (2016). Sampling methods for online surveys. In N. G. Fielding, R. M. Lee, & G. Blank (Eds.), The SAGE handbook of online research methods (pp. 162–183). London: Sage.Google Scholar
  15. Friend, K. B., & Ladd, G. T. (2009). Youth gambling advertising: A review of the lessons learned from tobacco control. Drugs: Education, Prevention, and Policy, 16(4), 283–297.Google Scholar
  16. Gawronski, B., & De Houwer, J. (2014). Implicit measures in social and personality psychology. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (2nd ed., pp. 283–310). New York: Cambridge University Press.Google Scholar
  17. Gordon, R., Gurrieri, L., & Chapman, M. (2015). Broadening an understanding of problem gambling: The lifestyle consumption community of sports betting. Journal of Business Research, 68(10), 2164–2172.CrossRefGoogle Scholar
  18. Grant, J. E., & Kim, S. W. (2001). Demographic and clinical features of 131 adult pathological gamblers. The Journal of Clinical Psychiatry, 62(12), 957–962.CrossRefPubMedGoogle Scholar
  19. Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6), 1464–1480.CrossRefPubMedGoogle Scholar
  20. Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the implicit association test: I. An improved scoring algorithm. Journal of Personality and Social Psychology, 85(2), 197–216.CrossRefPubMedGoogle Scholar
  21. Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the implicit association test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97(1), 17–41.CrossRefPubMedGoogle Scholar
  22. Hayatbakhsh, M. R., Clavarino, A. M., Williams, G. M., Bor, W., & Najman, J. M. (2013). Early life course predictors of young adults’ gambling. International Gambling Studies, 13(1), 19–36.CrossRefGoogle Scholar
  23. Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford.Google Scholar
  24. Higgins, E. T. (1996). Knowledge activation: Accessibility, applicability, and salience. In E. T. Higgins & A. Kruglanski (Eds.), Social psychology: Handbook of basic principles (pp. 133–168). New York: Guilford.Google Scholar
  25. Hing, N., Vitartas, P., & Lamont, M. (2013). Gambling sponsorship of sport: An exploratory study of links with gambling attitudes and intentions. International Gambling Studies, 13(3), 281–301.CrossRefGoogle Scholar
  26. Korn, D., Hurson, T., & Reynolds, J. (2005). Commercial gambling advertising: Possible impact on youth knowledge, attitudes, beliefs and behavioural intentions. Guelph: Ontario Problem Gambling Research Centre.Google Scholar
  27. Livingstone, S., & Helsper, E. J. (2006). Does advertising literacy mediate the effects of advertising on children? A critical examination of two linked research literatures in relation to obesity and food choice. Journal of Communication, 56(3), 560–584.CrossRefGoogle Scholar
  28. Maison, D., Greenwald, A. G., & Bruin, R. H. (2004). Predictive validity of the implicit association test in studies of brands, consumer attitudes, and behavior. Journal of Consumer Psychology, 14(4), 405–415.CrossRefGoogle Scholar
  29. McMullan, J., & Kervin, M. (2012). Selling internet gambling: Advertising, new media and the content of poker promotion. International Journal of Mental Health and Addiction, 10(5), 622–645.  https://doi.org/10.1007/s11469-011-9336-3.CrossRefGoogle Scholar
  30. McMullan, J. L., Miller, D. E., & Perrier, D. C. (2012). “I’ve seen them so much they are just there”: Exploring young people’s perceptions of gambling in advertising. International Journal of Mental Health and Addiction, 10(6), 829–848.  https://doi.org/10.1007/s11469-012-9379-0.CrossRefGoogle Scholar
  31. Messerlian, C., & Derevensky, J. (2006). Social marketing campaigns for youth gambling prevention: Lessons learned from youth. International Journal of Mental Health and Addiction, 4(4), 294–306.  https://doi.org/10.1007/s11469-006-9032-x.CrossRefGoogle Scholar
  32. Milner, L., Hing, N., Vitartas, P., & Lamont, M. (2013). Embedded gambling promotion in Australian football broadcasts: An exploratory study. Communication, Politics & Culture, 46(2), 177–198.Google Scholar
  33. Nairn, A., & Fine, C. (2008). Who’s messing with my mind? International Journal of Advertising, 27(3), 447–470.  https://doi.org/10.2501/S0265048708080062.CrossRefGoogle Scholar
  34. Oates, C., Blades, M., & Gunter, B. (2002). Children and television advertising: When do they understand persuasive intent? Journal of Consumer Behaviour, 1(3), 238–245.CrossRefGoogle Scholar
  35. Orford, J., Griffiths, M., Wardle, H., Sproston, K., & Erens, B. (2009). Negative public attitudes towards gambling: Findings from the 2007 British Gambling Prevalence Survey using a new attitude scale. International Gambling Studies, 9(1), 39–54.CrossRefGoogle Scholar
  36. Parliamentary Joint Select Committee on Gambling Reform. (2013). Fifth report: The advertising and promotion of gambling services in sport. Canberra: Australian Government. Retrieved from http://www.aph.gov.au/~/media/wopapub/senate/committee/gamblingreform_ctte/completed_inquires/2010-13/gambling_sport/report/report.ashx.
  37. Pitt, H., Thomas, S. L., Bestman, A., Stoneham, M., & Daube, M. (2016). “It’s just everywhere!” Children and parents discuss the marketing of sports wagering in Australia. Australian and New Zealand Journal of Public Health, 40(5), 480–486.CrossRefPubMedGoogle Scholar
  38. Raymen, T., & Smith, O. (2017). Lifestyle gambling, indebtedness and anxiety: A deviant leisure perspective. Journal of Consumer Culture.  https://doi.org/10.1177/1469540517736559.Google Scholar
  39. Robertson, T. S., & Rossiter, J. R. (1974). Children and commercial persuasion: An attribution theory analysis. Journal of Consumer Research, 1(1), 13–20.CrossRefGoogle Scholar
  40. Sauer, R. D. (1998). The economics of wagering markets. Journal of Economic Literature, 36(4), 2021–2064.Google Scholar
  41. Saxon, J. (2017). Why your customers’ attention is the scarcest resource in 2017. Retrieved from https://www.ama.org/partners/content/Pages/why-customers-attention-scarcest-resources-2017.aspx.
  42. Schachter, D., Kleinman, I., & Harvey, W. (2005). Informed consent and adolescents. The Canadian Journal of Psychiatry, 50(9), 534–540.CrossRefPubMedGoogle Scholar
  43. Sedgwick, P. (2013). Convenience sampling. BMJ: British Medical Journal.  https://doi.org/10.1136/bmj.f6304.Google Scholar
  44. Shaffer, H. J., & Hall, M. N. (2001). Updating and refining prevalence estimates of disordered gambling behaviour in the United States and Canada. Canadian Journal of Public Health, 92(3), 168–172.PubMedGoogle Scholar
  45. Solomon, M. R., Russell-Bennett, R., & Previte, J. (2013). Consumer behaviour: Buying, having, being. Frenchs Forest: Pearson Australia.Google Scholar
  46. Sproston, K., Hanley, C., Brook, K., Hing, N., & Gainsbury, S. (2015). Marketing of sports betting and racing. Melbourne: Gambling Research Australia.Google Scholar
  47. Stacy, A. W., Zogg, J. B., Unger, J. B., & Dent, C. W. (2004). Exposure to televised alcohol ads and subsequent adolescent alcohol use. American Journal of Health Behavior, 28(6), 498–509.CrossRefPubMedGoogle Scholar
  48. St-Pierre, R. A., Derevensky, J. L., Temcheff, C. E., & Gupta, R. (2015). Adolescent gambling and problem gambling: Examination of an extended theory of planned behaviour. International Gambling Studies, 15(3), 506–525.CrossRefGoogle Scholar
  49. Thomas, S., Lewis, S., Duong, J., & McLeod, C. (2012). Sports betting marketing during sporting events: A stadium and broadcast census of Australian Football League matches. Australian and New Zealand Journal of Public Health, 36(2), 145–152.CrossRefPubMedGoogle Scholar
  50. van Noort, G., Antheunis, M. L., & van Reijmersdal, E. A. (2012). Social connections and the persuasiveness of viral campaigns in social network sites: Persuasive intent as the underlying mechanism. Journal of Marketing Communications, 18(1), 39–53.CrossRefGoogle Scholar
  51. Wu, A. M., & Tang, C. S. K. (2012). Problem gambling of Chinese college students: Application of the theory of planned behavior. Journal of Gambling Studies, 28(2), 315–324.CrossRefPubMedGoogle Scholar
  52. Wyer, R. S. (2008). The role of knowledge accessibility in cognition and behavior: Implications for consumer information processing. In C. P. Haugtvedt, P. M. Herr, & F. R. Kardes (Eds.), Handbook of consumer psychology (pp. 31–76). New York: Psychology Press.Google Scholar
  53. Yan, D. (2016). Numbers are gendered: The role of numerical precision. Journal of Consumer Research, 43(2), 303–316.CrossRefGoogle Scholar
  54. Yi, S., & Kanetkar, V. (2010). Implicit measures of attitudes toward gambling: An exploratory study. Journal of Gambling Issues, 24, 140–163.CrossRefGoogle Scholar
  55. Zack, M., Stewart, S. H., Klein, R. M., Loba, P., & Fragopoulos, F. (2005). Contingent gambling-drinking patterns and problem drinking severity moderate implicit gambling-alcohol associations in problem gamblers. Journal of Gambling Studies, 21(3), 325–354.CrossRefPubMedGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.School of Business and Law, Central Queensland UniversityRockhamptonAustralia
  2. 2.School of Health, Medical and Applied Sciences, Central Queensland UniversityCairnsAustralia
  3. 3.School of Health, Medical and Applied Sciences, Central Queensland UniversityBundabergAustralia
  4. 4.School of Health, Medical and Applied Sciences, Central Queensland UniversityWayvilleAustralia

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