Gambling disorder-related illegal acts: Regression model of associated factors
Gambling disorder-related illegal acts: Regression model of associated factors
Author(s): Muhamed Ali Gorsane, Michel REYNAUD, Jean-Luc Vénisse, Cindy Legauffre, Marc Valleur, Isabelle Chéreau-Boudet, Alice Guilleux, Jeu Group, Gaélle Challet-Bouju, Marie Grall-Bronnec, David Magalon, Mélina FatséasSubject(s): Social psychology and group interaction, Behaviorism, Evaluation research
Published by: Akadémiai Kiadó
Keywords: gambling disorder; illegal acts; DSM; predictors; addiction;
Summary/Abstract: 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.
Journal: Journal of Behavioral Addictions
- Issue Year: 6/2017
- Issue No: 1
- Page Range: 64-73
- Page Count: 10
- Language: English