{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T17:33:48Z","timestamp":1793381628597,"version":"4.5.0"},"reference-count":87,"publisher":"Akademiai Kiado Zrt.","issue":"2","license":[{"start":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T00:00:00Z","timestamp":1719360000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Gambling Research Australia"}],"content-domain":{"domain":["akjournals.com"],"crossmark-restriction":true},"short-container-title":["JBA"],"published-print":{"date-parts":[[2024,6,26]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A\u00a0Random 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>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 \u2018prevention paradox\u2019.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1556\/2006.2024.00025","type":"journal-article","created":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T12:00:37Z","timestamp":1715688037000},"page":"635-649","update-policy":"https:\/\/doi.org\/10.1556\/policypage.crossmark.crossref.2","source":"Crossref","is-referenced-by-count":6,"title":["Harm-to-self from gambling: A national study of Australian adults"],"prefix":"10.1556","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2842-5110","authenticated-orcid":true,"given":"Catherine","family":"Tulloch","sequence":"first","affiliation":[{"name":"Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2150-9784","authenticated-orcid":true,"given":"Nerilee","family":"Hing","sequence":"additional","affiliation":[{"name":"Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2668-6229","authenticated-orcid":true,"given":"Matthew","family":"Browne","sequence":"additional","affiliation":[{"name":"Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3685-7220","authenticated-orcid":true,"given":"Alex M. 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