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Social Ecological Model of Problem Gambling: A Cross-National Survey Study of Young People in the United States, South Korea, Spain, and Finland

Author

Listed:
  • Atte Oksanen

    (Faculty of Social Sciences, Tampere University, 33014 Tampere, Finland)

  • Anu Sirola

    (Department of Social Sciences and Philosophy, University of Jyväskylä, 40014 Jyväskylä, Finland)

  • Iina Savolainen

    (Faculty of Social Sciences, Tampere University, 33014 Tampere, Finland)

  • Aki Koivula

    (Department of Social Research, University of Turku, 20500 Turku, Finland)

  • Markus Kaakinen

    (Institute of Criminology and Legal Policy, University of Helsinki, 00014 Helsinki, Finland)

  • Ilkka Vuorinen

    (Faculty of Social Sciences, Tampere University, 33014 Tampere, Finland)

  • Izabela Zych

    (Department of Psychology, University of Córdoba, 14004 Córdoba, Spain)

  • Hye-Jin Paek

    (Department of Advertising and Public Relations, Hanyang University, Ansan 15588, Korea)

Abstract

Problem gambling among young people is an emerging trend globally. The online environment in particular offers various possibilities for gambling engagement. This is the first cross-national survey study using the social ecological model to analyze problem gambling, especially in the online context. The study aimed to analyze how different social ecological spheres explain problem gambling. Participants were young people aged 15–25 in the United States ( n = 1212), South Korea ( n = 1192), Spain ( n = 1212), and Finland ( n = 1200). The South Oaks Gambling Screen (SOGS) instrument measured problem gambling. The regression models analyzed problem gambling with measures of intrapersonal, interpersonal, organizational, and societal spheres. Spanish participants had the highest SOGS score for problem gambling. In all countries, the variations in problem gambling were best explained by the organizational sphere measures (26%) when compared to the intrapersonal (11%), interpersonal (5%), and societal (3%) spheres. In the full model, the organizational sphere measures had strong associations with problem gambling. These included consumer debt, online gambling community participation, online casino participation, and exposure to online pop-up advertisements. Problem gambling was also associated with conformity to group norms in the interpersonal sphere, and male gender and impulsivity in the intrapersonal sphere. Cross-national results were similar in different countries. Within the final model, gambling community participation had the strongest association with problem gambling (β = 0.23, p < 0.001). The online context plays a major role in problem gambling behavior. The social ecological model is a useful tool for tackling problem gambling and developing preventative measures.

Suggested Citation

  • Atte Oksanen & Anu Sirola & Iina Savolainen & Aki Koivula & Markus Kaakinen & Ilkka Vuorinen & Izabela Zych & Hye-Jin Paek, 2021. "Social Ecological Model of Problem Gambling: A Cross-National Survey Study of Young People in the United States, South Korea, Spain, and Finland," IJERPH, MDPI, vol. 18(6), pages 1-19, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3220-:d:520963
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    References listed on IDEAS

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    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273.
    2. Paul Delfabbro, 2013. "Problem And Pathological Gambling: A Conceptual Review," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 7(3), pages 35-53.
    3. Kyonghwa Kang & Jong Sun Ok & Hyeongsu Kim & Kun-Sei Lee, 2019. "The Gambling Factors Related with the Level of Adolescent Problem Gambler," IJERPH, MDPI, vol. 16(12), pages 1-16, June.
    4. Sheri Worthy & Jeffrey Jonkman & Lynn Blinn-Pike, 2010. "Sensation-Seeking, Risk-Taking, and Problematic Financial Behaviors of College Students," Journal of Family and Economic Issues, Springer, vol. 31(2), pages 161-170, June.
    5. Adrian Park & Andrew Harris & Jonathan Parke & Jane Rigbye & Alex Blaszczynski, 2014. "Responsible Marketing And Advertising In Gambling: A Critical Review," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 8(3), pages 21-35.
    6. Jang, Soo Mi & Hong, Seunghye & Kim, Sophia Bohun & Sohn, Sunju, 2019. "Examining risk and protective factors of problem gambling among college students in South Korea," Children and Youth Services Review, Elsevier, vol. 105(C), pages 1-1.
    7. Iina Savolainen & Markus Kaakinen & Anu Sirola & Aki Koivula & Heli Hagfors & Izabela Zych & Hye-Jin Paek & Atte Oksanen, 2020. "Online Relationships and Social Media Interaction in Youth Problem Gambling: A Four-Country Study," IJERPH, MDPI, vol. 17(21), pages 1-18, November.
    8. Dylan Pickering & Alex Blaszczynski, 2021. "Paid online convenience samples in gambling studies: questionable data quality," International Gambling Studies, Taylor & Francis Journals, vol. 21(3), pages 516-536, September.
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    Cited by:

    1. Ilkka Vuorinen & Atte Oksanen & Iina Savolainen & Anu Sirola & Markus Kaakinen & Hye-Jin Paek & Izabela Zych, 2021. "The Mediating Role of Psychological Distress in Excessive Gambling among Young People: A Four-Country Study," IJERPH, MDPI, vol. 18(13), pages 1-11, June.
    2. Mar Espadafor & Sergi Martínez, 2021. "The negative consequences of sports betting opportunities on human capital formation: Evidence from Spain," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-20, October.

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