The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
The prevalence of gambling and problematic gambling: a systematic review and meta-analysis
Open accessAbstract
BACKGROUND: Gambling behaviours have become of increased public health interest, but data on prevalence remain scarce. In this study, we aimed to estimate for adults and adolescents the prevalence of any gambling activity, the prevalence of engaging in specific gambling activities, the prevalence of any risk gambling and problematic gambling, and the prevalence of any risk and problematic gambling by gambling activity. METHODS: We performed a systematic review and meta-analysis. We systematically searched for peer-reviewed literature (on MEDLINE, Embase, and PsycInfo) and grey literature to identify papers published between Jan 1, 2010, and March 4, 2024. We searched for any gambling, including engagement with individual gambling activities, and problematic gambling data among adults and adolescents. We included papers that reported the prevalence or proportion of a gambling outcome of interest. We excluded papers of non-original data or based on a biased sample. Data were extracted into a bespoke Microsoft Access database, with the Joanna Briggs Institute Critical Appraisal Tool used to identify the risk of bias for each sample. Representative population survey estimates were firstly meta-analysed into country-level prevalence estimates, using metaprop, of any gambling, any risk gambling, problematic gambling, and by gambling activity. Secondly, population-weighted regional-level and global estimates were generated for any gambling, any risk gambling, problematic gambling, and specific gambling activity. This review is registered on PROSPERO (CRD42021251835). FINDINGS: We screened 3692 reports, with 380 representative unique samples, in 68 countries and territories. Overall, the included samples consisted of slightly more men or male individuals, with a mean age of 29·72 years, and most samples identified were from high-income countries. Of these samples, 366 were included in the meta-analysis. Globally, 46·2% (95% CI 41·7-50·8) of adults and 17·9% (14·8-21·2) of adolescents had gambled in the past 12 months. Rates of gambling were higher among men (49·1%; 45·5-52·6) than women (37·4%; 32·0-42·5). Among adults, 8·7% (6·6-11·3) were classified as engaging in any risk gambling, and 1·41% (1·06-1·84) were engaging in problematic gambling. Among adults, rates of problematic gambling were greatest among online casino or slots gambling (15·8%; 10·7-21·6). There were few data reported on any risk and problematic gambling among adolescent samples. INTERPRETATION: Existing evidence suggests that gambling is prevalent globally, that a substantial proportion of the population engage in problematic gambling, and that rates of problematic gambling are greatest among those gambling on online formats. Given the growth of the online gambling industry and the association between gambling and a range of public health harms, governments need to give greater attention to the strict regulation and monitoring of gambling globally. FUNDING: Australian National Health and Medical Research Council.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Munn, Z., Moola, S., Lisy, K., Riitano, D., & Tufanaru, C. (2015) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000054 · Cited by 3,131
Degenhardt, L., Peacock, A., Colledge, S., Leung, J., Grebely, J., Vickerman, P., Stone, J., Cunningham, E. B., Trickey, A., Dumchev, K., et al. (2017) · The Lancet Global Health · doi:10.1016/s2214-109x(17)30375-3 · Cited by 1,429
Self-citationGlobal epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review
Mathers, B. M., Degenhardt, L., Phillips, B., Wiessing, L., Hickman, M., Strathdee, S. A., Wodak, A., Panda, S., Tyndall, M., Toufik, A., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61311-2 · Cited by 1,285
Self-citationBarker, T. H., Migliavaca, C. B., Stein, C., Colpani, V., Falavigna, M., Aromataris, E., & Munn, Z. (2021) · BMC Medical Research Methodology · doi:10.1186/s12874-021-01381-z · Cited by 738
Problem gambling worldwide: An update and systematic review of empirical research (2000–2015)
Calado, F., & Griffiths, M. D. (2016) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.073 · Cited by 698
British Gambling Prevalence Survey 2007
Griffiths, M. D., Orford, J., Sproston, K., & Wardle, H. (2007) · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) · Cited by 525
Self-citationPrevalence of Adolescent Problem Gambling: A Systematic Review of Recent Research
Calado, F., Alexandre, J., & Griffiths, M. D. (2017) · Journal of Gambling Studies · doi:10.1007/s10899-016-9627-5 · Cited by 477
Degenhardt, L., Webb, P., Colledge-Frisby, S., Ireland, J., Wheeler, A., Ottaviano, S., Willing, A., Kairouz, A., Cunningham, E. B., Hajarizadeh, B., et al. (2023) · The Lancet Global Health · doi:10.1016/s2214-109x(23)00057-8 · Cited by 279
Self-citationGambling and public health: we need policy action to prevent harm
Wardle, H., Reith, G., Langham, E., & Rogers, R. D. (2019) · BMJ · doi:10.1136/bmj.l1807 · Cited by 257
Self-citationGambling and Problem Gambling in the United States: Changes Between 1999 and 2013
Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., Hoffman, J. H., & Wieczorek, W. F. (2015) · Journal of Gambling Studies · doi:10.1007/s10899-014-9471-4 · Cited by 253
Cited by
O'Keefe, J. H., Franco, W. G., & O'Keefe, E. L. (2025) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2024.12.010 · Cited by 42
Metadata
- Authors
- Tran, L. T., Wardle, H., Colledge-Frisby, S., Taylor, S., Lynch, M., Rehm, J., Volberg, R., Marionneau, V., Saxena, S., Bunn, C., Farrell, M., & Degenhardt, L.
- Venue
- The Lancet Public Health
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 9
- Issue
- 8
- Pages
- e594-e613
- ISSN
- 2468-2667 (ISSN-L)
- OpenAlex
- W4400641274
- Cited by
- 269
- References
- 117
- FWCI
- 29.05
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The prevalence of gambling and problematic gambling: a systematic review and meta-analysis. https://app.cochat.ai/papers/10.1016/s2468-2667(24)00126-9
- The paper
- Tran, L. T., Wardle, H., Colledge-Frisby, S., Taylor, S., Lynch, M., Rehm, J., Volberg, R., Marionneau, V., Saxena, S., Bunn, C., Farrell, M., & Degenhardt, L. (2024). The prevalence of gambling and problematic gambling: a systematic review and meta-analysis. The Lancet Public Health. https://doi.org/10.1016/s2468-2667(24)00126-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.