Predictors of gambling and problem gambling in Victoria, Australia [open access policy paper]

Abstract: In 2016, the gambling habits of a sample of 3361 adults in the state of Victoria, Australia, were surveyed. It was found that a number of factors that were highly correlated with self-reported gambling frequency and gambling problems were not significant predictors of gambling frequency and problem gambling. The major predictors of gambling frequency were the degree to which family members and peers were perceived to gamble, self-reported approval of gambling, the frequency of discussing gambling offline, and the participant’s Canadian Problem Gambling Severity Index (PGSI) score. Age was a significant predictor of gambling frequency for certain types of gambling (e.g. buying lottery tickets). Approximately 91% of the explainable variance in the participant’s PGSI score could be explained by just five predictors: Positive Urgency; Frequency of playing poker machines at pubs, hotels or sporting clubs; Participation in online discussions of betting on gaming tables at casinos; Frequency of gambling on the internet, and Overestimating the chances of winning. Based on these findings, suggestions are made as to how gambling-related harm can be reduced. Access article online

Reference: Howe, P.D.L., Vargas-Sáenz, A., Hulbert, C.A., Boldero, J.M. (2019). Predictors of gambling and problem gambling in Victoria, Australia, PLoS ONE 14(1), e0209277. https://doi.org/10.1371/journal.pone.0209277

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Suboptimal Foraging Behavior: A New Perspective on Gambling

Addicott, M. A., Pearson, J. M., Kaiser, N., Platt, M. L., & Joseph, F. (2015). Suboptimal Foraging Behavior: A New Perspective on Gambling. Behavioral Neuroscience, No Pagination Specified. http://doi.org/10.1037/bne0000082

Why do people gamble? Conventional views hold that gambling may be motivated by irrational beliefs, risk-seeking, impulsive temperament, or dysfunction within the same reward circuitry affected by drugs of abuse. An alternate, unexplored perspective is that gambling is an extension of natural foraging behavior to a financial environment. However, when these foraging algorithms are applied to stochastic gambling outcomes, undesirable results may occur…

via PsycNET – Display Record.