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http://hdl.handle.net/2445/171536
Title: | Phenotypes in gambling disorder using sociodemographic and clinical clustering analysis: an unidentified new subtype? |
Author: | Jiménez-Murcia, Susana Granero, Roser Fernández Aranda, Fernando Stinchfield, Randy Tremblay, Joël Steward, Trevor Mestre-Bach, Gemma Lozano-Madrid, María Mena Moreno, Teresa Mallorquí-Bagué, Núria Perales Losa, Carlos Navas, Juan F. Soriano Mas, Carles Aymamí, Maria Neus Gómez-Peña, Mónica Agüera, Zaida Pino Gutiérrez, Amparo Del Martín-Romera, Virginia Menchón Magriñá, José Manuel |
Keywords: | Joc compulsiu Personalitat Fenotip Compulsive gambling Personality Phenotype |
Issue Date: | 29-Mar-2019 |
Publisher: | Frontiers Media |
Abstract: | Background: gambling disorder (GD) is a heterogeneous disorder which has clinical manifestations that vary according to variables in each individual. Considering the importance of the application of specific therapeutic interventions, it is essential to obtain clinical classifications based on differentiated phenotypes for patients diagnosed with GD. Objectives: to identify gambling profiles in a large clinical sample of n = 2,570 patients seeking treatment for GD. Methods: an agglomerative hierarchical clustering method defining a combination of the Schwarz Bayesian Information Criterion and log-likelihood was used, considering a large set of variables including sociodemographic, gambling, psychopathological, and personality measures as indicators. Results: three-mutually-exclusive groups were obtained. Cluster 1 (n = 908 participants, 35.5%), labeled as "high emotional distress," included the oldest patients with the longest illness duration, the highest GD severity, and the most severe levels of psychopathology. Cluster 2 (n = 1,555, 60.5%), labeled as "mild emotional distress," included patients with the lowest levels of GD severity and the lowest levels of psychopathology. Cluster 3 (n = 107, 4.2%), labeled as "moderate emotional distress," included the youngest patients with the shortest illness duration, the highest level of education and moderate levels of psychopathology. Conclusion: in this study, the general psychopathological state obtained the highest importance for clustering. |
Note: | Reproducció del document publicat a: https://doi.org/10.3389/fpsyt.2019.00173 |
It is part of: | Frontiers In Psychiatry, 2019, vol. 10, p. 173 |
URI: | http://hdl.handle.net/2445/171536 |
Related resource: | https://doi.org/10.3389/fpsyt.2019.00173 |
ISSN: | 1664-0640 |
Appears in Collections: | Articles publicats en revistes (Ciències Clíniques) Articles publicats en revistes (Infermeria de Salut Pública, Salut mental i Maternoinfantil) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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691819_Corr.pdf | Corrigendum | 693.16 kB | Adobe PDF | View/Open |
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