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The association between gambling and financial, social and health outcomes in big financial data


Gambling is an ordinary pastime for some people, but is associated with addiction and harmful outcomes for others. Evidence of these harms is limited to small-sample, cross-sectional self-reports, such as prevalence surveys. We examine the association between gambling as a proportion of monthly income and 31 financial, social and health outcomes using anonymous data provided by a UK retail bank, aggregated for up to 6.5 million individuals over up to 7 years. Gambling is associated with higher financial distress and lower financial inclusion and planning, and with negative lifestyle, health, well-being and leisure outcomes. Gambling is associated with higher rates of future unemployment and physical disability and, at the highest levels, with substantially increased mortality. Gambling is persistent over time, growing over the sample period, and has higher negative associations among the heaviest gamblers. Our findings inform the debate over the relationship between gambling and life experiences across the population.

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Fig. 1: Gambling and financial, lifestyle and well-being outcomes.
Fig. 2: Gambling and mortality.
Fig. 3: Persistence of gambling.

Data availability

The data that support the findings of this study are available from LBG but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are available from the authors upon reasonable request and with permission of LBG.

Code availability

Data were extracted from LBG databases using Teradata SQL Assistant (v. Data analysis was conducted using R (v.3.4.4). The SQL code that supports the analysis is commercially sensitive and is therefore not publicly available. The code is available from the authors upon reasonable request and with permission of LBG. The R code that supports this analysis can be found at Commercially sensitive code has been redacted. This should not affect the interpretability of the code.


  1. 1.

    Schwartz, D. G. Roll the Bones: The History of Gambling (Winchester Books, 2013).

  2. 2.

    Supreme Court of the United States. Murphy, Governor of New Jersey et al. versus National Collegiate Athletic Association et al. No. 138, 1461 (2018).

  3. 3.

    Industry Statistics (Gambling Commission, 2019);

  4. 4.

    Cassidy, R. Vicious Games: Capitalism and Gambling (Pluto Press, 2020).

  5. 5.

    Orford, J. The Gambling Establishment: Challenging the Power of the Modern Gambling Industry and its Allies (Routledge, 2019).

  6. 6.

    Duncan, P., Davies, R. & Sweney, M. Children ‘bombarded’ with betting adverts during World Cup. The Guardian (15 July 2018).

  7. 7.

    Hymas, C. Church of England backs ban on gambling adverts during live sporting events. The Telegraph (10 August 2018).

  8. 8.

    McGee, D. On the normalisation of online sports gambling among young adult men in the UK: a public health perspective. Public Health 184, 89–94 (2020).

    CAS  Article  Google Scholar 

  9. 9.

    Editorial. Science has a gambling problem. Nature 553, 379 (2018).

  10. 10.

    National Gambling Strategy (Gambling Commission, 2019);

  11. 11.

    van Schalkwyk, M. C. I., Cassidy, R., McKee, M. & Petticrew, M. Gambling control: in support of a public health response to gambling. The Lancet 393, 1680–1681 (2019).

    Article  Google Scholar 

  12. 12.

    Wardle, H., Reith, G., Langham, E. & Rogers, R. D. Gambling and public health: we need policy action to prevent harm. BMJ 365, l1807 (2019).

    Article  Google Scholar 

  13. 13.

    Volberg, R. A. Fifteen years of problem gambling prevalence research: what do we know? Where do we go? J. Gambl. Issues (2004).

  14. 14.

    Select Committee on the Social and Economic Impact of the Gambling Industry. Corrected Oral Evidence: Social and Economic Impact of the Gambling Industry (UK Parliament, 2019);

  15. 15.

    Wardle, H. et al. British Gambling Prevalence Survey 2010 (National Centre for Social Research, 2011);

  16. 16.

    Smith, G., Hodgins, D. & Williams, R. Research and Measurement Issues in Gambling Studies (Emerald, 2007).

  17. 17.

    Harrison, G. W., Lau, M. I. & Ross, D. The risk of gambling problems in the general population: a reconsideration. J. Gambl. Stud.36, 1133–1159 (2020).

  18. 18.

    Wood, R. T. & Williams, R. J. ‘How much money do you spend on gambling?’ The comparative validity of question wordings used to assess gambling expenditure. Int. J. Soc. Res. Methodol. 10, 63–77 (2007).

  19. 19.

    Toneatto, T., Blitz-Miller, T., Calderwood, K., Dragonetti, R. & Tsanos, A. Cognitive distortions in heavy gambling. J. Gambl. Stud. 13, 253–266 (1997).

  20. 20.

    Wardle, H., John, A., Dymond, S. & McManus, S. Problem gambling and suicidality in England: secondary analysis of a representative cross-sectional survey. Public Health 184, 11–16 (2020).

  21. 21.

    Karlsson, A. & Håkansson, A. Gambling disorder, increased mortality, suicidality, and associated comorbidity: a longitudinal nationwide register study. J. Behav. Addict. 7, 1091–1099 (2018).

    Article  Google Scholar 

  22. 22.

    Wong, P. W. C., Chan, W. S. C., Conwell, Y., Conner, K. R. & Yip, P. S. F. A psychological autopsy study of pathological gamblers who died by suicide. J. Affect. Disord. 120, 213–216 (2010).

    Article  Google Scholar 

  23. 23.

    LaPlante, D. A., Nelson, S. E., LaBrie, R. A. & Shaffer, H. J. Stability and progression of disordered gambling: lessons from longitudinal studies. Can. J. Psychiatry 53, 52–60 (2008).

    Article  Google Scholar 

  24. 24.

    Wohl, M. J. & Sztainert, T. Where did all the pathological gamblers go? Gambling symptomatology and stage of change predict attrition in longitudinal research. J. Gambl. Stud. 27, 155–169 (2011).

    Article  Google Scholar 

  25. 25.

    Browne, M., Goodwin, B. C. & Rockloff, M. J. Validation of the Short Gambling Harm Screen (SGHS): a tool for assessment of harms from gambling. J. Gambl. Stud. 34, 499–512 (2018).

    Article  Google Scholar 

  26. 26.

    Browne, M. et al. Assessing Gambling-related Harm in Victoria: A Public Health Perspective (Victorian Responsible Gambling Foundation, 2016).

  27. 27.

    Canale, N., Vieno, A. & Griffiths, M. D. The extent and distribution of gambling-related harms and the prevention paradox in a British population survey. J. Behav. Addict. 5, 204–212 (2016).

    Article  Google Scholar 

  28. 28.

    Salonen, A. H., Hellman, M., Latvala, T. & Castrén, S. Gambling participation, gambling habits, gambling-related harm, and opinions on gambling advertising in Finland in 2016. Nordisk Alkohol Nark. 35, 215–234 (2018).

  29. 29.

    Langham, E. et al. Understanding gambling related harm: a proposed definition, conceptual framework, and taxonomy of harms. BMC Public Health 16, 80 (2016).

    Article  Google Scholar 

  30. 30.

    Wardle, H., Reith, G., Best, D., McDaid, D. & Platt, S. Measuring Gambling-related Harms: A Framework for Action (Gambling Commission, 2018).

  31. 31.

    Browne, M. & Rockloff, M. J. Prevalence of gambling-related harm provides evidence for the prevention paradox. J. Behav. Addict. 7, 410–422 (2018).

    Article  Google Scholar 

  32. 32.

    Collins, P., Shaffer, H. J., Ladouceur, R., Blaszszynski, A. & Fong, D. Gambling research and industry funding. J. Gambl. Stud. 36, 1–9 (2019).

    Google Scholar 

  33. 33.

    Delfabbro, P. & King, D. L. Challenges in the conceptualisation and measurement of gambling-related harm. J. Gambl. Stud. 35, 743–755 (2019).

    Article  Google Scholar 

  34. 34.

    Browne, M. et al. What is the harm? Applying a public health methodology to measure the impact of gambling problems and harm on quality of life. J. Gambl. Issues (2017).

  35. 35.

    Markham, F., Young, M. & Doran, B. The relationship between player losses and gambling-related harm: evidence from nationally representative cross-sectional surveys in four countries. Addiction 111, 320–330 (2016).

    Article  Google Scholar 

  36. 36.

    Markham, F., Young, M. & Doran, B. Gambling expenditure predicts harm: evidence from a venue-level study. Addiction 109, 1509–1516 (2014).

    Article  Google Scholar 

  37. 37.

    Blaszczynski, A., Ladouceur, R. & Shaffer, H. J. A science-based framework for responsible gambling: the Reno model. J. Gambl. Stud. 20, 301–317 (2004).

    Article  Google Scholar 

  38. 38.

    Rose, G. The Strategy of Preventive Medicine (Oxford Univ. Press, 1992).

  39. 39.

    Improving the Financial Health of the Nation (Financial Inclusion Commission, 2015);

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We thank A. Trendl and H. Wardle for comments on an earlier draft of this manuscript. We thank R. Burton, Z. Clarke, C. Henn, J. Marsden, M. Regan, C. Sharpe and M. Smolar from Public Health England and L. Balla, L. Cole, K. King, P. Rangeley, H. Rhodes, C. Rogers and D. Taylor from the Gambling Commission for providing feedback on a presentation of this work. We thank A. Akerkar, D. Collins, T. Davies, D. Eales, E. Fitzhugh, P. Jefferson, T. Bo Kim, M. King, A. Lazarou, M. Lien and G. Sanders for their assistance. We thank the Customer Vulnerability team, with whom we worked as part of their ongoing strategy to help vulnerable customers. We acknowledge funding from LBG, who also provided us with the data but had no other role in study design, analysis, decision to publish or preparation of the manuscript. The views and opinions expressed are those of the authors and do not necessarily reflect the views of LBG, its affiliates or its employees. We also acknowledge funding from Economic and Social Research Council (ESRC) grants nos. ES/P008976/1 and ES/N018192/1. The ESRC had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Author information




P.P. and P.N. proposed the initial concept. All authors contributed to the design of the analysis and the interpretation of the results. J.G. and N.S. wrote the initial draft; all authors contributed to the revision. N.M. and P.P. constructed variables and N.M. prepared all figures and tables. D.L. established collaboration with LBG. D.L., J.G. and N.S. secured funding for the research. P.N. conducted a review of the existing literature.

Corresponding author

Correspondence to Naomi Muggleton.

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Competing interests

N.M. was previously, and D.L. is currently, an employee of LBG. P.P. was previously a contractor at LBG. They do not, however, have any direct or indirect interest in revenues accrued from the gambling industry. P.N. was a special advisor to the House of Lords Select Committee Enquiry on the Social and Economic Impact of the Gambling Industry. In the last 3 years, P.N. has contributed to research projects funded by GambleAware, Gambling Research Australia, NSW Responsible Gambling Fund and the Victorian Responsible Gambling Foundation. In 2019, P.N. received travel and accommodation funding from the Spanish Federation of Rehabilitated Gamblers and in 2020 received an open access fee grant from Gambling Research Exchange Ontario. All other authors have no competing interests.

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Muggleton, N., Parpart, P., Newall, P. et al. The association between gambling and financial, social and health outcomes in big financial data. Nat Hum Behav 5, 319–326 (2021).

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