IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i6p3220-d520963.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/6/3220/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/6/3220/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, September.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xu & Zhang, Xiaobo & Xie, Zhuan & Huang, Yiping, 2016. "Roads to innovation: Firm-level evidence from China:," IFPRI discussion papers 1542, International Food Policy Research Institute (IFPRI).
    2. Preusse, Verena & Wollni, Meike, 2021. "Adoption of sustainable agricultural practices in the context of urbanisation and environmental stress – Evidence from farmers in the rural-urban interface of Bangalore, India," 2021 Annual Meeting, August 1-3, Austin, Texas 312690, Agricultural and Applied Economics Association.
    3. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    4. Bono, Pierre-Henri & David, Quentin & Desbordes, Rodolphe & Py, Loriane, 2022. "Metro infrastructure and metropolitan attractiveness," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    5. Scott, Ryan P. & Scott, Tyler A., 2019. "Investing in collaboration for safety: Assessing grants to states for oil and gas distribution pipeline safety program enhancement," Energy Policy, Elsevier, vol. 124(C), pages 332-345.
    6. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    7. Landry, Craig E. & Shonkwiler, J. Scott & Whitehead, John C., 2020. "Economic Values of Coastal Erosion Management: Joint Estimation of Use and Existence Values with recreation demand and contingent valuation data," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    8. John McLaren & Su Wang, 2020. "Effects of Reduced Workplace Presence on COVID-19 Deaths: An Instrumental-Variables Approach," NBER Working Papers 28275, National Bureau of Economic Research, Inc.
    9. Massimiliano Cal� & Sami H. Miaari, 2014. "Trade, employment and conflict: Evidence from the Second Intifada," HiCN Working Papers 186, Households in Conflict Network.
    10. Kauffmann, Albrecht, 2021. "Befindet sich die "Metropolregion Mitteldeutschland" auf dem Weg zur räumlich integrierten Region? Eine empirische Untersuchung der Berufspendlerverflechtungen," Arbeitsberichte der ARL: Aufsätze, in: Rosenfeld, Martin T. W. & Stefansky, Andreas (ed.), "Metropolregion Mitteldeutschland" aus raumwissenschaftlicher Sicht, volume 30, pages 76-95, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    11. Barfield, Ashley & Shonkwiler, J. Scott, 2016. "A Distribution Transition Method for Extreme Responses in Recreation Survey Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235670, Agricultural and Applied Economics Association.
    12. Ghosh, Prasenjit & Rong, Jian & Khanna, Madhu & Wang, Weiwei & Miao, Ruiqing, 2017. "Have They Gone with the Wind? Indirect Effects of Wind Turbines on Bird Abundance," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258100, Agricultural and Applied Economics Association.
    13. Faia, Ester & Ottaviano, Gianmarco & Sanchez Arjona, Irene, 2017. "International Expansion and Riskiness of Banks," CEPR Discussion Papers 11951, C.E.P.R. Discussion Papers.
    14. Mullahy, John, 2024. "Analyzing health outcomes measured as bounded counts," Journal of Health Economics, Elsevier, vol. 95(C).
    15. Michel Beine & Ilan Noy & Christopher Parsons, 2021. "Climate change, migration and voice," Climatic Change, Springer, vol. 167(1), pages 1-27, July.
    16. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    17. Maria E. Bellringer & Nick Garrett, 2021. "Risk Factors for Increased Online Gambling during COVID-19 Lockdowns in New Zealand: A Longitudinal Study," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    18. D M Zimmer, 2023. "The effect of food stamps on fibre intake," Economic Issues Journal Articles, Economic Issues, vol. 28(2), pages 71-86, September.
    19. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    20. H Zeynep Bulutgil & Neeraj Prasad, 2023. "Inequality, elections, and communal riots in India," Journal of Peace Research, Peace Research Institute Oslo, vol. 60(4), pages 619-633, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3220-:d:520963. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.