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Gambling disorder-related illegal acts: Regression model of associated factors
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 Ass...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572995/ https://www.ncbi.nlm.nih.gov/pubmed/28198636 http://dx.doi.org/10.1556/2006.6.2017.003 |
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author | Gorsane, Mohamed Ali Reynaud, Michel Vénisse, Jean-Luc Legauffre, Cindy Valleur, Marc Magalon, David Fatséas, Mélina Chéreau-Boudet, Isabelle Guilleux, Alice JEU Group, Challet-Bouju, Gaëlle Grall-Bronnec, Marie |
author_facet | Gorsane, Mohamed Ali Reynaud, Michel Vénisse, Jean-Luc Legauffre, Cindy Valleur, Marc Magalon, David Fatséas, Mélina Chéreau-Boudet, Isabelle Guilleux, Alice JEU Group, Challet-Bouju, Gaëlle Grall-Bronnec, Marie |
author_sort | Gorsane, Mohamed Ali |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5572995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
spelling | pubmed-55729952017-09-06 Gambling disorder-related illegal acts: Regression model of associated factors Gorsane, Mohamed Ali Reynaud, Michel Vénisse, Jean-Luc Legauffre, Cindy Valleur, Marc Magalon, David Fatséas, Mélina Chéreau-Boudet, Isabelle Guilleux, Alice JEU Group, Challet-Bouju, Gaëlle Grall-Bronnec, Marie J Behav Addict Full-Length Report 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. Akadémiai Kiadó 2017-02-13 2017-03 /pmc/articles/PMC5572995/ /pubmed/28198636 http://dx.doi.org/10.1556/2006.6.2017.003 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Full-Length Report Gorsane, Mohamed Ali Reynaud, Michel Vénisse, Jean-Luc Legauffre, Cindy Valleur, Marc Magalon, David Fatséas, Mélina Chéreau-Boudet, Isabelle Guilleux, Alice JEU Group, Challet-Bouju, Gaëlle Grall-Bronnec, Marie Gambling disorder-related illegal acts: Regression model of associated factors |
title | Gambling disorder-related illegal acts: Regression model of
associated factors |
title_full | Gambling disorder-related illegal acts: Regression model of
associated factors |
title_fullStr | Gambling disorder-related illegal acts: Regression model of
associated factors |
title_full_unstemmed | Gambling disorder-related illegal acts: Regression model of
associated factors |
title_short | Gambling disorder-related illegal acts: Regression model of
associated factors |
title_sort | gambling disorder-related illegal acts: regression model of
associated factors |
topic | Full-Length Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572995/ https://www.ncbi.nlm.nih.gov/pubmed/28198636 http://dx.doi.org/10.1556/2006.6.2017.003 |
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