Gambling disorder-related illegal acts: Regression model of associated factors
Journal of Behavioral Addictions. 2017-03-01; 6(1): 64-73
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Gorsane MA(1)(2), Reynaud M(1), Vénisse JL(3)(4), Legauffre C(5)(6), Valleur M(7), Magalon D(8), Fatséas M(9), Chéreau-Boudet I(10), Guilleux A(4)(11); JEU Group, Challet-Bouju G(3)(4), Grall-Bronnec M(3)(4).
(1)1 Psychiatry and Addictology Department, Paul Brousse University Hospital of Villejuif, Assistance Publique – Hôpitaux de Paris (APHP) , Paris, France.
(2)2 Pole of Psychiatry 75G04, Henry Ey Hospital, Centre Hospitalier Sainte-Anne , Paris, France.
(3)3 Clinical Investigation Unit BALANCED “BehaviorAL AddictioNs and ComplEx mood
Disorders”, Department of Addictology and Psychiatry, University Hospital of Nantes , Nantes, France.
(4)4 EA 4275 SPHERE “bioStatistics, Pharmacoepidemiology and Human sciEnces Research tEam”, Faculties of Medicine and Pharmaceutical Sciences, University of Nantes , Nantes, France.
(5)5 EA 4430 CLIPSYD “CLInique PSYchanalyse Développement”, University of Paris Ouest Nanterre La Défense , Paris, France.
(6)6 Louis Mourier Hospital of Colombes, Assistance Publique – Hôpitaux de Paris (APHP) , Paris, France.
(7)7 Marmottan Medical Center, GPS Perray-Vaucluse , Paris, France.
(8)8 Department of Adult Psychiatry, Sainte-Marguerite University Hospital of Marseille , Marseille, France.
(9)9 Psychiatry Laboratory, Sanpsy CNRS USR 3413, University of Bordeaux and Charles Perrens Hospital , Bordeaux, France.
(10)10 Psychiatry Department, University Hospital of Clermont-Ferrand , Clermont-Ferrand, France.
(11)11 Unit of Methodology and Biostatistics, University Hospital of Nantes , Nantes, France.
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.