Harm-to-self from gambling: A national study of Australian adults
- PMID: 38743487
- PMCID: PMC11220818
- DOI: 10.1556/2006.2024.00025
Harm-to-self from gambling: A national study of Australian adults
Abstract
Aims: Understanding how gambling harm is distributed is essential to inform effective harm reduction measures. This first national Australian study of gambling harm-to-self examined the extent, distribution, risk factors, and health related quality of life (HRQoL) impacts of this harm.
Methods: A Random Digit Dialling sample of 15,000 Australian adults was weighted to key population variables. Key measures included the Gambling Harms Scale-10 (GHS-10), PGSI, SF-6D, gambling behaviours, and demographics. Analyses included ordinal logistic regression.
Results: Amongst gamblers, 14.7% reported harm on the GHS-10, including 1.9% reporting high-level harm. While high-level harm occurred mainly in the problem gambling group (77.3%), other PGSI groups accounted for most of the more prevalent low (98.5%) and moderate (87.2%) harms reported. Proximal predictors of greater harm were use of online gambling and more frequent gambling on electronic gaming machines (EGMs), race betting sports betting, poker, skin gambling, scratchies, and loot box purchasing. Distal predictors were being younger, male, single, Aboriginal or Torres Strait Islander, and speaking a non-English language at home. At the population level, the greatest aggregate HRQoL impacts were amongst lower-risk gamblers, confirming the results of other studies regarding the 'prevention paradox'.
Conclusions: The distribution of harm across gambler risk groups indicates the need for preventive measures, not just interventions for problem gambling. Reducing harm requires modifying product features that amplify their risk, especially for EGMs, race betting and sports betting that are both inherently risky and widely used. Gambling harm exacerbates health disparities for disadvantaged and vulnerable groups, requiring targeted resources and support.
Keywords: gambling harm; gambling products; health-related quality of life (HRQoL) population study; health inequity; risk factors.
Conflict of interest statement
Figures




Similar articles
-
Risk Factors for Gambling Problems on Online Electronic Gaming Machines, Race Betting and Sports Betting.Front Psychol. 2017 May 15;8:779. doi: 10.3389/fpsyg.2017.00779. eCollection 2017. Front Psychol. 2017. PMID: 28555121 Free PMC article.
-
Public attitudes towards gambling product harm and harm reduction strategies: an online study of 16-88 year olds in Victoria, Australia.Harm Reduct J. 2017 Jul 25;14(1):49. doi: 10.1186/s12954-017-0173-y. Harm Reduct J. 2017. PMID: 28743300 Free PMC article.
-
Gambling Participation, Expenditure and Risk of Harm in Australia, 1997-1998 and 2010-2011.J Gambl Stud. 2018 Mar;34(1):255-274. doi: 10.1007/s10899-017-9708-0. J Gambl Stud. 2018. PMID: 28840412
-
Strategies to customize responsible gambling messages: a review and focus group study.BMC Public Health. 2018 Dec 17;18(1):1381. doi: 10.1186/s12889-018-6281-0. BMC Public Health. 2018. PMID: 30558568 Free PMC article. Review.
-
Effects of prevention and harm reduction interventions on gambling behaviours and gambling related harm: An umbrella review.Addict Behav. 2019 Mar;90:380-388. doi: 10.1016/j.addbeh.2018.11.048. Epub 2018 Dec 2. Addict Behav. 2019. PMID: 30529994
References
-
- ACIL Allen Consulting, Deakin University (Dowling, A. & Merkouris, S.), Central Queensland University (Browne, M. & Rockloff, M.), & the Social Research Centre (2018). Fourth social and economic impact study of gambling in Tasmania: Report 2. Hobart: Tasmanian Department of Treasury and Finance. https://www.acilallen.com.au/projects/other/fourth-social-and-economic-i....
-
- Afifi, T. O., LaPlante, D. A., Taillieu, T. L., Dowd, D., & Shaffer, H. J. (2014). Gambling involvement: Considering frequency of play and the moderating effects of gender and age. International Journal of Mental Health and Addiction, 12, 283–294. 10.1007/s11469-013-9452-3. - DOI
-
- American Association for Public Opinion Research (2017). The future of U.S. general population telephone survey research. Retrieved from https://www.aapor.org/getattachment/Education-Resources/Reports/Future-o....
MeSH terms
LinkOut - more resources
Full Text Sources
Medical