Impulsivity Predictors of Problem Gambling and Impaired Control

Previous studies of the relationship between impulsivity and problem gambling have produced inconsistent results due to sampling issues and the measures utilised. The current study assessed five facets of impulsivity as predictors of both gambling impaired control and problem gambling in a random sample of 309 regular EGM players. The measures included the UPPS-P for impulsivity, the PGSI for problem gambling and the impaired control scale from the SLUGS. This sample comprised 173 women (56 %) with a mean age of 59.15 years and 146 men with a mean age of 57.18 years. Results revealed that lack of perseverance was not a predictor of either gambling measure and that negative urgency was the strongest predictor of both impaired control and problem gambling…

Source: Haw, J. (2015). Impulsivity Predictors of Problem Gambling and Impaired Control. International Journal of Mental Health and Addiction, 1–12. http://doi.org/10.1007/s11469-015-9603-9

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Gender Differences in the Temporal Sequencing of Problem Gambling with Other Disorders

Gender differences in the temporal sequencing of problem gambling and other disorders was investigated in a sample of 267 gamblers, recruited from treatment centres. There were 144 men (54 %) with a mean age of 40.58 years and 123 women with a mean age of 48.72 years. All participants completed a survey assessing age of first onset for problem gambling and age of first onset for mood and substance abuse disorders. Results revealed that women tended to experience other disorders before the first onset of problem gambling, whereas men tended to experience other disorders after the first onset of problem gambling…

Source: Haw, J., & Holdsworth, L. (2015). Gender Differences in the Temporal Sequencing of Problem Gambling with Other Disorders. International Journal of Mental Health and Addiction, 1–13. http://doi.org/10.1007/s11469-015-9601-y

Unhealthy Gambling Amongst New Zealand Secondary School Students: An Exploration of Risk and Protective Factors

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This study sought to determine the prevalence of gambling and unhealthy gambling behaviour and describe risk and protective factors associated with these behaviours amongst a nationally representative sample of New Zealand secondary school students (n  = 8,500). Factor analysis and item response theory were used to develop a model to provide a measure of ‘unhealthy gambling’. Logistic regressions and multiple logistic regression models were used to investigate associations between unhealthy gambling behaviour and selected outcomes. Approximately one-quarter (24.2 %) of students had gambled in the last year, and 4.8 % had two or more indicators of unhealthy gambling…

Rossen, F. V., Clark, T., Denny, S. J., Fleming, T. M., Peiris-John, R., Robinson, E., & Lucassen, M. F. (2015). Unhealthy Gambling Amongst New Zealand Secondary School Students: An Exploration of Risk and Protective Factors. International Journal of Mental Health and Addiction, 1–16.

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.

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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.