Literature DB >> 28886591

Predictors of early dropout in treatment for gambling disorder: The role of personality disorders and clinical syndromes.

G Maniaci1, C La Cascia2, F Picone3, A Lipari3, C Cannizzaro4, D La Barbera2.   

Abstract

Several treatment options for gambling disorder (GD) have been tested in recent years; however dropout levels still remain high. This study aims to evaluate whether the presence of psychiatric comorbidities predicts treatment outcome according to Millon's evolutionary theory, following a six-month therapy for GD. The role of severity, duration of the disorder, typology of gambling (mainly online or offline) and pharmacological treatment were also analysed. The recruitment included 194 pathological gamblers (PGs) to be compared with 78 healthy controls (HCs). Psychological assessment included the South Oaks Gambling Screen and the Millon Clinical Multiaxial Inventory-III. The "treatment failure" group (n = 70) comprised PGs who prematurely dropped out of the treatment whereas the "abstinent group" (n = 124) included PGs who completed the treatment regardless of whether the outcome was successful or not. As expected, the presence of psychiatric comorbidities was highlighted as a significant predictor in dropping out of the therapy. Specifically negativistic personality disorder, antisocial personality disorder, drug dependence and PTSD were associated with early dropout. These variables were predictive of treatment outcome independently from the typology of gambling, severity, duration of the disorder and pharmacological treatment. Implications for psychological and psychiatric care are discussed.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical syndromes; Disordered gambling; Dropout; Gambling disorder; Pathological gambling; Personality disorders; Psychiatric disorders; Treatment outcome

Mesh:

Year:  2017        PMID: 28886591     DOI: 10.1016/j.psychres.2017.08.003

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  5 in total

1.  Clustering Treatment Outcomes in Women with Gambling Disorder.

Authors:  Milagros Lizbeth Lara-Huallipe; Roser Granero; Fernando Fernández-Aranda; Mónica Gómez-Peña; Laura Moragas; Amparo Del Pino-Gutierrez; Eduardo Valenciano-Mendoza; Bernat Mora-Maltas; Isabel Baenas; Mikel Etxandi; José M Menchón; Susana Jiménez-Murcia
Journal:  J Gambl Stud       Date:  2021-12-21

2.  Latent Classes for the Treatment Outcomes in Women with Gambling Disorder and Buying/Shopping Disorder.

Authors:  Roser Granero; Fernando Fernández-Aranda; Milagros Lizbeth Lara-Huallipe; Mónica Gómez-Peña; Laura Moragas; Isabel Baenas; Astrid Müller; Matthias Brand; Claudia Sisquellas; Susana Jiménez-Murcia
Journal:  J Clin Med       Date:  2022-07-05       Impact factor: 4.964

3.  Predictors of Dropout in Disordered Gamblers in UK Residential Treatment.

Authors:  Amanda Roberts; Raegan Murphy; John Turner; Steve Sharman
Journal:  J Gambl Stud       Date:  2020-03

4.  Exploring the Association between Gambling-Related Offenses, Substance Use, Psychiatric Comorbidities, and Treatment Outcome.

Authors:  Cristina Vintró-Alcaraz; Gemma Mestre-Bach; Roser Granero; Elena Caravaca; Mónica Gómez-Peña; Laura Moragas; Isabel Baenas; Amparo Del Pino-Gutiérrez; Susana Valero-Solís; Milagros Lara-Huallipe; Bernat Mora-Maltas; Eduardo Valenciano-Mendoza; Elías Guillen-Guzmán; Ester Codina; José M Menchón; Fernando Fernández-Aranda; Susana Jiménez-Murcia
Journal:  J Clin Med       Date:  2022-08-10       Impact factor: 4.964

5.  Response trajectories of gambling severity after cognitive behavioral therapy in young-adult pathological gamblers.

Authors:  Roser Granero; Susana Valero-Solis; Fernando Fernández-Aranda; Mónica Gómez-Peña; Laura Moragas; Teresa Mena-Moreno; Amparo Del Pino-Gutierrez; Ester Codina; Virginia Martín-Romera; Gemma Casalé; Zaida Agüera; Isabel Baenas-Soto; Eduardo Valenciano-Mendoza; Bernat Mora-Maltas; Isabel Sánchez; María Lozano-Madrid; José M Menchón; Susana Jiménez Murcia
Journal:  J Behav Addict       Date:  2020-04-01       Impact factor: 6.756

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.