Gambling Behaviors Among Danish and Swedish Elite Football Players

Click name to view affiliation

Stine Nylandsted Jensen University of Copenhagen

Search for other papers by Stine Nylandsted Jensen in
Current site
Google Scholar
PubMed
Close
*
,
Andreas Ivarsson Halmstad University

Search for other papers by Andreas Ivarsson in
Current site
Google Scholar
PubMed
Close
*
,
Johan Fallby Halmstad University

Search for other papers by Johan Fallby in
Current site
Google Scholar
PubMed
Close
*
, and
Anne-Marie Elbe University of Copenhagen

Search for other papers by Anne-Marie Elbe in
Current site
Google Scholar
PubMed
Close
*
Restricted access

This study investigated gambling among Danish and Swedish male elite football players. A cross-sectional design was used to survey 323 players (Mage = 22.08, SD = 5.15). The survey included a screening tool for gambling, as well as measures for depression and sport anxiety. The overall rate of players identified as at-risk gamblers was 16.1%. Linear regression analyses revealed that depression and sport anxiety significantly predicted gambling behaviors, and explained 2% and 6% of variance, respectively. The age of the players and the age at which they specialize did not moderate these relationships. Further research on gambling in football and its relation to mental disorders is needed.

Jensen and Elbe are with the Dept. of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark. Ivarsson and Fallby are with the Center of Research on Welfare Health and Sport, Halmstad University, Halmstad, Sweden.

Address author correspondence to Anne-Marie Elbe at amelbe@nexs.ku.dk.
  • Collapse
  • Expand
  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.

    • Search Google Scholar
    • Export Citation
  • Anderson, J., Duval, A., Van, R.B., & McArdle, D. (2014). Study on risk assessment and management and prevention of conflicts of interest in the prevention and fight against betting-related match fixing in the EU 28-final report. Den Haag, Netherlands: Asser Institute.

    • Search Google Scholar
    • Export Citation
  • Cohen, J.R., Young, J.F., Gibb, B.E., Hankin, B.L., & Abela, J.R. (2014). Why are anxiety and depressive symptoms comorbid in youth? A multi-wave, longitudinal examination of competing etiological models. Journal of Affective Disorders, 161, 2129. PubMed ID: 24751303 doi:10.1016/j.jad.2014.02.042

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Forrest, D., & Simmons, R. (2003). Sport and gambling. Oxford Review of Economic Policy, 19, 598611. doi:10.1093/oxrep/19.4.598

  • Fridberg, T., & Birkelund, J.F. (2016). PengespilogSpilleproblemer i Danmark 2005–2016 [Betting and Gambling Problems in Denmark 2005–2016]. København, Denmark: SFI – Det Nationale Forskningscenter for Velfærd.

    • Search Google Scholar
    • Export Citation
  • Gebauer, L., LaBrie, R., & Shaffer, H.J. (2010). Optimizing DSM-IV-TR classification accuracy: A brief biosocial screen for detecting current gambling disorders among gamblers in the general household population. Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie, 55, 8290. PubMed ID: 20181303 doi:10.1177/070674371005500204

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gorse, S., & Chadwick, S. (2010, July/August). Conceptualising corruption in sport: Implications for sponsorship programmes. The European Business Review. Retrieved from https://curve.coventry.ac.uk/open/file/b199de7d-88b2-aa7d-122b-d8f83fb414e9/1/Conceptualising%20corruption-2.pdf

    • Search Google Scholar
    • Export Citation
  • Gouttebarge, V., Frings-Dresen, M.H.W., & Sluiter, J.K. (2015). Mental and psychosocial health among current and former professional footballers. Occupational Medicine, 65, 190196. PubMed ID: 25638208 doi:10.1093/occmed/kqu202

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grall-Bronnec, M., Caillon, J., Humeau, E., Perrot, B., Remaud, M., Guilleux, A., … Bouju, G. (2016). Gambling among European professional athletes. Prevalence and associated factors. Journal of Addictive Diseases, 35, 278290. PubMed ID: 27111296 doi:10.1080/10550887.2016.1177807

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hayatbakhsh, M.R., Clavarino, A., Williams, G.M., Bor, W., & Najman, J.M. (2012). Young adults’ gambling and its association with mental health and substance use problems. Australian and New Zealand Journal of Public Health, 36, 160166. PubMed ID: 22487351 doi:10.1111/j.1753-6405.2011.00815.x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hayes, A.F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [White paper]. Retrieved from http://www.afhayes.com/public/process2012.pdf

    • Search Google Scholar
    • Export Citation
  • Hodgins, D.C., Stea, J.N., & Grant, J.E. (2011). Gambling disorders. The Lancet, 378(9806), 18741884. doi:10.1016/S0140-6736(10)62185-X

  • Jensen, S.N., Ivarsson, A., Fallby, J., Dankers, S., & Elbe, A.M. (2018). Depression in Danish and Swedish Elite football players and its relation to perfectionism and anxiety. Psychology of Sport and Exercise, 36, 147155. doi:10.1016/j.psychsport.2018.02.008

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Khazaal, Y., Chatton, A., Billieux, J., Bizzini, L., Monney, G., Fresard, E., … Khan, R. (2012). Effects of expertise on football betting. Substance Abuse Treatment, Prevention, and Policy, 7, 18. PubMed ID: 22578101 doi:10.1186/1747-597X-7-18

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lopez-Gonzalez, H., & Tulloch, C.D. (2015). Enhancing media sport consumption: Online gambling in European football. Media International Australia, 155, 130139. doi:10.1177/1329878X1515500115

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mastroleo, N.R., Scaglione, N., Mallett, K.A., & Turrisi, R. (2013). Can personality account for differences in drinking between college athletes and non-athletes? Explaining the role of sensation seeking, risk-taking, and impulsivity. Journal of Drug Education, 43(1), 8195. PubMed ID: 24855885 doi:10.2190/DE.43.1.f

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McComb, J.L., & Sabiston, C.M. (2010). Family influences on adolescent gambling behavior: A review of the literature. Journal of Gambling Studies, 26, 503520. PubMed ID: 20349270 doi:10.1007/s10899-010-9181-5

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Miller, W.C., Anton, H.A., & Townson, A.F. (2008). Measurement properties of the CESD scale among individuals with spinal cord injury. Spinal Cord, 46, 287292. PubMed ID: 17909558 doi:10.1038/sj.sc.3102127

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nowy, T., & Breuer, C. (2017). Match-fixing in European grassroots football. European Sport Management Quarterly, 17, 2444. doi:10.1080/16184742.2016.1193212

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Radloff, L. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385401. doi:10.1177/014662167700100306

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ramis, Y., Viladrich, C., Sousa, C., & Jannes, C. (2015). Exploring the factorial structure of the sport anxiety scale-2: Invariance across language, gender, age and type of sport. Psicothema, 27(2), 17481. PubMed ID: 25927698 doi:10.7334/psicothema2014.263

    • Search Google Scholar
    • Export Citation
  • Rodis, A.G. (2013). Swedish swimmers’ perception of parental involvement. Idrootsforum. Retrieved from https://idrottsforum.org/rodis131126/

    • Search Google Scholar
    • Export Citation
  • Smith, R.E., Smoll, F.L., Cumming, S.P., & Grossbard, J.R. (2006). Measurement of multidimensional sport performance anxiety in children and adults: The sport anxiety scale-2. Journal of Sport and Exercise Psychology, 28, 479501. doi:10.1123/jsep.28.4.479

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Stenling, A., Ivarsson, A., & Lindwall, M. (2017). The only constant is change: Analysing and understanding change in sport and exercise psychology. International Review of Sport and Exercise Psycholy, 10, 230251. doi:10.1080/1750984X.2016.1216150

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Williams, R.J., Volberg, R.A., & Stevens, R.M.G. (2012). The population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care. Retrieved from http://hdl.handle.net/10133/3068/

    • Search Google Scholar
    • Export Citation
  • Wilson, M., Smith, N.C., Chattington, M., Ford, M., & Marple-Horvat, D.E. (2006). The role of effort in moderating the anxiety performance relationship: Testing the prediction of processing efficiency theory in simulated rally driving. Journal of Sport Science, 24, 12231233. PubMed ID: 17176526 doi:10.1080/02640410500497667

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wilson, M., Smith, N.C., & Holmes, P. (2007). The role of effort in influencing the effect of anxiety on performance: Testing the conflicting predictions of processing efficiency theory and the conscious processing hypothesis. British Journal of Psychology, 98, 411428. PubMed ID: 17705939 doi:10.1348/000712606X133047

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 3187 807 51
Full Text Views 47 20 3
PDF Downloads 30 9 2