Jiménez-Murcia, SusanaGranero, RoserFernández Aranda, FernandoAymamí, Maria NeusGómez-Peña, MónicaMestre-Bach, GemmaSteward, TrevorDel Pino Gutiérrez, AmparoMena Moreno, TeresaVintró Alcaraz, CristinaAgüera, ZaidaSánchez González, JéssicaMoragas, LauraCodina Lletjós, EsterMenchón Magriñá, José Manuel2020-10-272020-10-272019-08-010924-9338https://hdl.handle.net/2445/171542Aims: 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, psychopatho- logical state and personality traits. These results could be useful in developing more efficient interventions for GD patients.13 p.application/pdfeng(c) Elsevier Masson SAS, 2019Joc compulsiuPsicopatologiaCompulsive gamblingPathological psychologyinfo:eu-repo/semantics/article6918182020-10-27info:eu-repo/semantics/openAccess31100610