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The relationship between player losses and gambling-related harm: evidence from nationally representative cross-sectional surveys in four countries

Markham, Francis; Young, Martin; Doran, Bruce

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Background and Aims: Flaws in previous studies mean that findings of J-shaped risk curves for gambling should be disregarded. The current study aims to estimate the shape of risk curves for gambling losses and risk of gambling-related harm (a) for total gambling losses and (b) disaggregated by gambling activity. Design: Four cross-sectional surveys. Setting: Nationally representative surveys of adults in Australia (1999), Canada (2000), Finland (2011) and Norway (2002). Participants: A total of...[Show more]

dc.contributor.authorMarkham, Francis
dc.contributor.authorYoung, Martin
dc.contributor.authorDoran, Bruce
dc.coverage.spatialAustralia
dc.date.accessioned2016-02-24T22:41:58Z
dc.identifier.issn0965-2140
dc.identifier.urihttp://hdl.handle.net/1885/98876
dc.description.abstractBackground and Aims: Flaws in previous studies mean that findings of J-shaped risk curves for gambling should be disregarded. The current study aims to estimate the shape of risk curves for gambling losses and risk of gambling-related harm (a) for total gambling losses and (b) disaggregated by gambling activity. Design: Four cross-sectional surveys. Setting: Nationally representative surveys of adults in Australia (1999), Canada (2000), Finland (2011) and Norway (2002). Participants: A total of 10632 Australian adults, 3120 Canadian adults, 4484 people aged 15-74years in Finland and 5235 people aged 15-74years in Norway. Measurements: Problem gambling risk was measured using the modified South Oaks Gambling Screen, the NORC DSM Screen for Gambling Problems and the Problem Gambling Severity Index. Findings: Risk curves for total gambling losses were estimated to be r-shaped in Australia {β losses=4.7 [95% confidence interval (CI)=3.8, 6.5], β losses2=-7.6 (95% CI=-17.5, -4.5)}, Canada [β losses=2.0 (95% CI=1.3, 3.9), β losses2=-3.9 (95% CI=-15.4, -2.2)] and Finland [β losses=3.6 (95% CI=2.5, 7.5), β losses2=-4.4 (95% CI=-34.9, -2.4)] and linear in Norway [β losses=1.6 (95% CI=0.6, 3.1), β losses2=-2.6 (95% CI=-12.6, 1.4)]. Risk curves for different gambling activities showed either linear, r-shaped or non-significant relationships. Conclusions: Player loss-risk curves for total gambling losses and for different gambling activities are likely to be linear or r-shaped. For total losses and electronic gaming machines, there is no evidence of a threshold below which increasing losses does not increase the risk of harm.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherCarfax Publishing, Taylor & Francis Group
dc.sourceAddiction
dc.titleThe relationship between player losses and gambling-related harm: evidence from nationally representative cross-sectional surveys in four countries
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume111
dc.date.issued2015
local.identifier.absfor111706 - Epidemiology
local.identifier.ariespublicationu4279067xPUB1519
local.type.statusPublished Version
local.contributor.affiliationMarkham, Francis, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationYoung, Martin, Southern Cross University
local.contributor.affiliationDoran, Bruce, College of Medicine, Biology and Environment, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage320
local.bibliographicCitation.lastpage330
local.identifier.doi10.1111/add.13178
local.identifier.absseo920405 - Environmental Health
dc.date.updated2016-02-24T10:49:50Z
local.identifier.scopusID2-s2.0-84947996256
CollectionsANU Research Publications

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