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Gambling Disorder-Related Illegal Acts: Regression Model of Associated Factors

Abstract : Background and aims Gambling disorder-related illegal acts (GDRIA) are often crucial events for gamblers and/or their entourage. This study was designed to determine the predictive factors of GDRIA. Methods Participants were 372 gamblers reporting at least three DSM-IV-TR (American Psychiatric Association, 2000) criteria. They were assessed on the basis of sociodemographic characteristics, gambling-related characteristics, their personality profile, and psychiatric comorbidities. A multiple logistic regression was performed to identify the relevant predictors of GDRIA and their relative contribution to the prediction of the presence of GDRIA. Results Multivariate analysis revealed a higher South Oaks Gambling Scale score, comorbid addictive disorders, and a lower level of income as GDRIA predictors. Discussion and conclusion An original finding of this study was that the comorbid addictive disorder effect might be mediated by a disinhibiting effect of stimulant substances on GDRIA. Further studies are necessary to replicate these results, especially in a longitudinal design, and to explore specific therapeutic interventions.
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Submitted on : Friday, July 21, 2017 - 11:32:48 AM
Last modification on : Wednesday, October 14, 2020 - 3:56:20 AM

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Mohamed Ali Gorsane, Michel Reynaud, Jean-Luc Vénisse, Cindy Legauffre, Marc Valleur, et al.. Gambling Disorder-Related Illegal Acts: Regression Model of Associated Factors. Journal of Behavioral Addictions, Akademiai Kiado, 2017, pp.1--10. ⟨10.1556/2006.6.2017.003⟩. ⟨hal-01566622⟩

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