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1.
J Gambl Stud ; 37(3): 853-874, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-33481142

RESUMEN

Actual and perceptual measures of gambling exposure are important predictors of problem gambling. This study used Zero-Inflated Poisson regression analyses to assess the relative and interactive effects of actual and perceived exposure on problem gambling risk and severity. Data from the 2008 and 2009 Social and Economic Impacts of Gambling in Alberta surveys indicated actual exposure was significantly associated with problem gambling risk while perceived exposure was significantly associated with problem gambling severity. These associations differ for gamblers from emerging and mature areas. Further, actual and perceived exposure had significant interaction effects on problem gambling severity but not on risk. Implications from these findings suggest that the prevalence of problem gambling could be reduced by restrictions on gambling opportunities.


Asunto(s)
Juego de Azar , Alberta/epidemiología , Juego de Azar/psicología , Humanos , Prevalencia , Encuestas y Cuestionarios
2.
J Gambl Stud ; 37(4): 1291-1310, 2021 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-33247819

RESUMEN

Measures of availability and accessibility are often used separately or interchangeably to assess gambling exposure. This study examined the advantages of assessing gambling exposure using availability, accessibility, and a composite measure. Logistic and poisson regression analyses were used to determine the relative importance of these measures in predicting problem gambling using data from the 2008 and 2009 Social and Economic Impacts of Gambling in Alberta (SEIGA) surveys. The composite measure of gambling exposure predicted both the risk and severity of problem gambling better than the availability or accessibility measures alone. These results demonstrate that individual differences in problem gambling are better predicted by a composite measure of exposure.


Asunto(s)
Juego de Azar , Alberta/epidemiología , Juego de Azar/psicología , Humanos , Análisis de Regresión
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