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Do gambling activity patterns predict gambling problems? A latent class analysis of gambling forms among Australian youth

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  • Jennifer M. Boldero
  • Richard C. Bell
  • Susan M. Moore

Abstract

Although gambling frequency and easy access to gambling are predictive of gambling problems among young people, little is known about their patterns of gambling activities. The current study investigated the gambling patterns of a large sample of youth ( N = 1061) using latent class analysis. Six activity classes of young gamblers were identified: rare, lottery/scratch card, broad ranging, pool, unrestricted access and heavy gamblers. The classes differed significantly on age, gender, number and type of gambling activities, gambling frequency, problem gambling and amount spent on gambling. In addition, the relationship between problem gambling and the amount spent differed across classes. The results indicate the value of assessing gambling patterns as well as gambling frequency in research examining problem gambling. Although older youth have more opportunity to legally engage in a wider range of gambling activities, young people's gambling activity patterns are more indicative of potential gambling problems than age.

Suggested Citation

  • Jennifer M. Boldero & Richard C. Bell & Susan M. Moore, 2010. "Do gambling activity patterns predict gambling problems? A latent class analysis of gambling forms among Australian youth," International Gambling Studies, Taylor & Francis Journals, vol. 10(2), pages 151-163, August.
    • Handle: RePEc:taf:intgms:v:10:y:2010:i:2:p:151-163
    DOI: 10.1080/14459795.2010.501808
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    References listed on IDEAS

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    1. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    2. Quentin Gausset & Kåre Jansbøl, 2009. "“Tell me what you play and I will tell you who you are”: values and gambling habits in two Danish universities," International Gambling Studies, Taylor & Francis Journals, vol. 9(1), pages 67-78, April.
    3. John W. Welte & Grace M. Barnes & William F. Wieczorek & Marie-Cecile O. Tidwell & Joseph H. Hoffman, 2007. "Type of Gambling and Availability as Risk Factors for Problem Gambling: A Tobit Regression Analysis by Age and Gender," International Gambling Studies, Taylor & Francis Journals, vol. 7(2), pages 183-198, August.
    4. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    5. Adam S. Goodie & Chad E. Lakey, 2007. "Lottery Participation as a Marker of and Contributor to Gambling-related Problems in College Students," International Gambling Studies, Taylor & Francis Journals, vol. 7(2), pages 199-211, August.
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    Cited by:

    1. Ricijas, Neven & Dodig Hundric, Dora & Huic, Aleksandra, 2016. "Predictors of adverse gambling related consequences among adolescent boys," Children and Youth Services Review, Elsevier, vol. 67(C), pages 168-176.
    2. Denisa Titili, 2016. "The Impact of Financial and Social Remittances in Perpetuating Migration (Albanian Migration Context)," European Journal of Multidisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, ejms_v1_i.

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