Show simple item record

dc.contributor.author Williams, Robert J.
dc.contributor.author Leonard, Carrie A.
dc.contributor.author Belanger, Yale D.
dc.contributor.author Christensen, Darren R.
dc.contributor.author el-Guebaly, Nady
dc.contributor.author Hodgins, David C.
dc.contributor.author McGrath, Daniel S.
dc.contributor.author Nicoll, Fiona
dc.contributor.author Smith, Garry J.
dc.contributor.author Stevens, Rhys M. G.
dc.date.accessioned 2021-03-31T18:02:58Z
dc.date.available 2021-03-31T18:02:58Z
dc.date.issued 2021
dc.identifier.citation Williams, R. J., Leonard, C. A., Belanger, Y. D., Christensen, D. R., El-Guebaly, N., Hodgins, D. C., McGrath, D. S., Nicoll, F., Smith, G. J., & Stevens, R. M. G. (2021). Predictors of gambling and problem gambling in Canada. Canadian Journal of Public Health. https://doi.org/10.17269/s41997-020-00443-x, en_US
dc.identifier.uri https://hdl.handle.net/10133/5855
dc.description Permission to archive accepted author manuscript. Embargo in effect until Jan. 13, 2022. en_US
dc.description.abstract Objectives:The purpose of this study is to provide an updated profile of gamblers and problem gamblers in Canada and to identify characteristics most strongly associated with problem gambling. Methods: An assessment of gambling participation and problem gambling was included in the 2018 Canadian Community Health Survey and administered to 23,952 individuals 18 years and older. Descriptive statistics provided a demographic profile for each type of gambling involvement as well as category of gambler (non-gambler, non-problem gambler, at-risk gambler,problem gambler). A logistic regression identified characteristics that best distinguished problem from non-problem gamblers. Results: Gambling participation and problem gambling both varied as a function of gender, income, educational attainment, and race/ethnicity. However, multivariate analysis identified electronic gambling machine (EGM) participation to be the primary predictor of problem gambling status, with race/ethnicity, presence of a mood disorder, male gender, casino table game participation, older age, a greater level of smoking, participation in speculative financial activity, instant lottery participation, lower household income, and lottery or raffle ticket participation providing additional predictive power. Provincial EGM density and EGM participation rates are also very strong predictors of provincial rates of at-risk and problem gambling. Conclusion: Problem gambling has a biopsychosocial etiology, determined by personal vulnerability factors combined with the presence of riskier types of gambling such as EGMs. Effective prevention requires a multifaceted approach, but constraints on the availability and operation of EGMs would likely have the greatest single public health benefit. en_US
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.subject Gambling en_US
dc.subject Problem gambling en_US
dc.subject Demographics en_US
dc.subject Biopsychosocial en_US
dc.subject EGM en_US
dc.subject.lcsh Gambling--Canada
dc.subject.lcsh Gamblers--Canada
dc.subject.lcsh Gambling--Research--Canada
dc.subject.lcsh Internet gambling--Canada
dc.title Predictors of gambling and problem gambling in Canada en_US
dc.type Article en_US
dc.publisher.faculty Health Sciences en_US
dc.publisher.faculty Arts and Science en_US
dc.description.peer-review Yes en_US
dc.publisher.institution University of Lethbridge en_US
dc.publisher.institution University of Calgary en_US
dc.publisher.institution University of Alberta en_US
dc.publisher.url https://doi.org/10.17269/s41997-020-00443-x en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record