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.

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Affective response to gambling promotions during televised sport: A qualitative analysis

Lamont, M., Hing, N., & Vitartas, P. (n.d.). Affective response to gambling promotions during televised sport: A qualitative analysis. Sport Management Review. http://doi.org/10.1016/j.smr.2015.06.002

Abstract: Gambling promotions extensively punctuate contemporary televised sport broadcasts and concerns have been raised about their potential impacts on vulnerable groups. Research suggests advertising can shape individuals’ emotions, or affect, towards a product/brand and can subsequently influence purchasing decisions. Consequently, understanding how promotion of gambling influences sport viewers is an important although sparsely addressed area of research. This paper presents exploratory research on affective responses towards gambling promotions displayed during televised sport…

via Affective response to gambling promotions during televised sport: A qualitative analysis.

The Influence of Casino Architecture and Structure on Problem Gambling Behaviour: An Examination Using Virtual Reality Technology

Finlay-Gough, K., Marmurek, H., Kanetkar, V., & Londerville, J. (2015, June). The Influence of Casino Architecture and Structure on Problem Gambling Behaviour: An Examination Using Virtual Reality Technology. In Proceedings of the 14th European Conference on Research Methods 2015: ECRM 2015 (p. 187). Academic Conferences Limited.

From a preview available at Google Books

Abstract: The results of three studies are reported which were designed to provide converging evidence of the emotion and gambling behaviour that are induced by casino settings. Two overall macro casino designs were examined in this research: the …

via Proceedings of the 14th European Conference on Research Methods 2015: ECRM 2015 – Google Books.

Problem gambling and family violence in the Asian context: a review

Keen, B., Pickering, D., Wieczorek, M., & Blaszczynski, A. (2015). Problem gambling and family violence in the Asian context: a review. Asian Journal of Gambling Issues and Public Health, 5(1). http://doi.org/10.1186/s40405-015-0008-2

Full text available

Background: Few empirical studies have specifically evaluated the causal connection between problem gambling and domestic or family violence within East and South-East Asian populations. Evidence from qualitative and quantitative studies suggests that at the very least, an association exists. Lifetime prevalence of intimate partner violence has been drawn from various Asian communities, and ranges from 15.4 to 61.1%, which is generally higher than in western countries such as US, UK and Australia (17–26%). Problem gambling rates are similarly higher in certain Asian countries (3.8–6%), when compared to the international average (2.3%). The aim of this review was to evaluate the available literature on problem gambling and family violence in East and South-East Asian populations, and to highlight any consistencies between the two phenomena…

Components of Impulsivity in Gambling Disorder

Hodgins, D. C., & Holub, A. (2015). Components of Impulsivity in Gambling Disorder. International Journal of Mental Health and Addiction, 1–13.

Full text available

This study examined the structure of impulsivity within gambling disorder. A group of 51 men and 53 women with gambling disorder completed self-report and behavioral measures of impulsivity. Principal component analyses found two factors. The first was interpreted as measuring trait impulsivity. This factor correlated with problem gambling severity, presence of comorbid mental health and substance use disorders, history of brain injury, and was higher in Aboriginal participants…

Components of Impulsivity in Gambling Disorder – Springer.

Game On: Past Year Gambling, Gambling-Related Problems, and Fantasy Sports Gambling Among College Athletes and Non-athletes – Online First – Springer

College students experience higher rates of gambling-related problems than most other population segments, including the general population. Although Division I (D1) athletes often have more at stake than the average student if and when they gamble (e.g., the potential to lose their athletic eligibility), relatively few studies have assessed the gambling behavior of this population and none have specifically assessed fantasy sports gambling. We conducted a study to examine gambling behavior (past-year gambling, gambling-related problems, and fantasy sport gambling) among a sample (N = 692) of college students at a private religiously affiliated university in the Southwest US…

via Game On: Past Year Gambling, Gambling-Related Problems, and Fantasy Sports Gambling Among College Athletes and Non-athletes – Online First – Springer.

Trajectories of Gambling Problems From Mid-Adolescence to Age 30 in a General Population Cohort. – Abstract – Europe PubMed Central

Studies of gambling starting before adulthood in the general population are either cross-sectional, based on the stability of these behaviors between 2 time points, or cover a short developmental period. The present study aimed at investigating the developmental trajectories of gambling problems across 3 key periods of development, mid-adolescence, early adulthood, and age 30, in a mixed-gender cohort from the general population…

via Trajectories of Gambling Problems From Mid-Adolescence to Age 30 in a General Population Cohort. – Abstract – Europe PubMed Central.