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dc.contributor.authorAragay Vicente, Nuria
dc.contributor.authorJIMENEZ-MURCIA, SUSANA
dc.contributor.authorGranero, Roser
dc.contributor.authorFERNANDEZ-ARANDA, FERNANDO
dc.contributor.authorRamos-Grille, Irene
dc.contributor.authorCardona, Sara
dc.contributor.authorGarrido García, Gemma
dc.contributor.authorMohammed, Anisul Islam
dc.contributor.authorMenchón, José M.
dc.contributor.authorVallès, Vicenç
dc.date.accessioned2026-03-23T11:10:36Z
dc.date.issued2015-02
dc.identifier.citationAragay Vicente, N.; Jimenez-Murcia, S.; Granero, R. [et. al]. Pathological gambling: understanding relapses and dropouts. Comprehensive Psychiatry, 2015, 57, pp. 58-64. Disponible en: <https://www.sciencedirect.com/science/article/abs/pii/S0010440X14002995?via%3Dihub>. Fecha de acceso: 23 Mar 2026. DOI: 10.1016/j.comppsych.2014.10.009ca
dc.identifier.issn0010-440Xca
dc.identifier.urihttps://hdl.handle.net/20.500.12328/5258
dc.descriptionSJM has been partially supported by the Ministerio de Ciencia e Innovación (Ministry of Science and Innovation; PSI2011-28349). CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Physiopathology of Obesity and Nutrition) and CIBER Salud Mental (CIBERsam) (Mental Health) are initiatives of the ISCIII. This study is a part of the PhD thesis of Núria Aragay at the University of Barcelona (School of Psychology).ca
dc.description.abstractThere is little available information on the factors that influence relapses and dropouts during therapy for pathological gambling (PG). The aim of this study was to determine socio-demographic, clinical, personality, and psychopathological predictors of relapse and dropout in a sample of pathological gamblers seeking treatment. A total of 566 consecutive outpatients diagnosed with PG according to DSM-IV-TR criteria were included. All patients underwent an individualized cognitive–behavioral treatment program. We analyzed predictors of relapse during 6 months of treatment and during the subsequent 6 months of follow-up, and predictors of dropout over the entire therapeutic program. Eighty patients (14.1%) experienced at least one relapse during the entire follow-up of the study: 50 (8.8%) within the treatment period and 12 (2.1%) during the subsequent 6-month follow-up period. The main predictors of relapse were single marital status, spending less than 100 euros/week on gambling, active gambling behavior at treatment inclusion, and high scores on the TCI-R Harm Avoidance personality dimension. One hundred fifty-seven patients (27.8%) missed 3 or more therapeutic sessions over the entire therapeutic program. The main predictors of dropout were single marital status, younger age, and high scores on the TCI-R Novelty Seeking personality dimension. The presence of these factors at inclusion should be taken into account by physicians dealing with PG patients.ca
dc.format.extentDesconocidoca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofComprehensive Psychiatryca
dc.rightsCopyright © 2014 Elsevier Inc. All rights reserved.ca
dc.subject.otherTreatment outcomesca
dc.subject.otherGamblersca
dc.subject.otherTemperamentca
dc.subject.otherPredictorsca
dc.subject.otherCharacterca
dc.subject.otherTherapyca
dc.subject.otherResultados del tratamientoca
dc.subject.otherJugadoresca
dc.subject.otherTemperamentoca
dc.subject.otherPredictoresca
dc.subject.otherCarácterca
dc.subject.otherTerapiaca
dc.subject.otherResultats del tractamentca
dc.subject.otherJugadorsca
dc.subject.otherTemperamentca
dc.subject.otherPredictorsca
dc.subject.otherCaràcterca
dc.subject.otherTeràpiaca
dc.titlePathological gambling: understanding relapses and dropoutsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/embargoedAccess
dc.embargo.termsforeverca
dc.subject.udc159.9ca
dc.identifier.doihttps://dx.doi.org/10.1016/j.comppsych.2014.10.009ca
dc.date.embargoEnd9999-01-01


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