Abstract
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.
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