Susana Jiménez-Murcia1, Roser Granero2, Fernando Fernández-Aranda3, Neus Aymamí4, Mónica Gómez-Peña4, Gemma Mestre-Bach3, Trevor Steward3, Amparo Del Pino-Gutiérrez5, Teresa Mena-Moreno6, Cristina Vintró-Alcaraz6, Zaida Agüera6, Jéssica Sánchez-González4, Laura Moragas4, Ester Codina5, José M Menchón7. 1. Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Spain. Electronic address: sjimenez@bellvitgehospital.cat. 2. CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain; Departament de Psicobiologia i Metodologia, Universitat Autònoma de Barcelona, Spain. 3. Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Spain. 4. Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain. 5. Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Public Health, Mental Health and Mother-Infant Nursing, University School of Nursing, University of Barcelona, Spain. 6. Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain. 7. Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Spain; CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain.
Abstract
AIMS: To estimate trajectories of the gambling disorder (GD) severity for 12 months following a manualized cognitive-behavior-therapy (CBT) program, and to identify the main variables associated with each trajectory. METHODS: Latent Class Growth Analysis examined the longitudinal changes of n = 603 treatment-seeking patients with GD. RESULTS: Five separate empirical trajectories were identified: T1 (n = 383, 63.5%) was characterized by the most highest baseline gambling severity levels and positive progress to recovery during the follow-up period; T2 (n = 154, 25.5%) featured participants with high baseline gambling severity and good progress to recovery; T3 (n = 30, 5.0%) was made up of patients with high gambling baseline severity and slow progress to recovery; T4 (n = 13, 2.2%) and T5 (n = 23, 3.8%) contained participants with high baseline gambling severity and moderate (T4) and poor (T5) progress in GD severity during the follow-up. Psychopathological state and personality traits discriminated between trajectories. Poor compliance with the therapy guidelines and the presence of relapses also differed between the trajectories. CONCLUSIONS: Our findings show that patients seeking treatment for GD are heterogeneous and that trends in progress following treatment can be identified considering sociodemographic features, psychopathological state and personality traits. These results could be useful in developing more efficient interventions for GD patients.
AIMS: To estimate trajectories of the gambling disorder (GD) severity for 12 months following a manualized cognitive-behavior-therapy (CBT) program, and to identify the main variables associated with each trajectory. METHODS: Latent Class Growth Analysis examined the longitudinal changes of n = 603 treatment-seeking patients with GD. RESULTS: Five separate empirical trajectories were identified: T1 (n = 383, 63.5%) was characterized by the most highest baseline gambling severity levels and positive progress to recovery during the follow-up period; T2 (n = 154, 25.5%) featured participants with high baseline gambling severity and good progress to recovery; T3 (n = 30, 5.0%) was made up of patients with high gambling baseline severity and slow progress to recovery; T4 (n = 13, 2.2%) and T5 (n = 23, 3.8%) contained participants with high baseline gambling severity and moderate (T4) and poor (T5) progress in GD severity during the follow-up. Psychopathological state and personality traits discriminated between trajectories. Poor compliance with the therapy guidelines and the presence of relapses also differed between the trajectories. CONCLUSIONS: Our findings show that patients seeking treatment for GD are heterogeneous and that trends in progress following treatment can be identified considering sociodemographic features, psychopathological state and personality traits. These results could be useful in developing more efficient interventions for GDpatients.
Authors: Isabel Baenas; Mikel Etxandi; Ester Codina; Roser Granero; Fernando Fernández-Aranda; Mónica Gómez-Peña; Laura Moragas; Sandra Rivas; Marc N Potenza; Anders Håkansson; Amparo Del Pino-Gutiérrez; Bernat Mora-Maltas; Eduardo Valenciano-Mendoza; José M Menchón; Susana Jiménez-Murcia Journal: Front Psychol Date: 2021-12-14