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Developmental trajectories of gambling severity after cognitive-behavioral therapy
Published online by Cambridge University Press: 01 September 2022
Abstract
Gambling disorder (GD) is characterized by repeated problematic gambling behavior associated with unsuccessful and uncontrollable urges to keep gambling, which leads to considerable distress and impairment. Several types of interventions exist to treat GD, with cognitive behavior therapy (CBT) being one of the most widely used approaches.
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.
Latent Class Growth Analysis examined the longitudinal changes of n = 603 treatment-seeking patients with GD.
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. Psychopathology, personality traits, poor compliance and relapses discriminated between trajectories.
These results show that treatment seeking patients with GD are heterogeneous. In addition, the obtained findings could be useful in the design of more efficient interventions for this behavioral addiction. Funding oftained from RTI2018-101837B-I00
No significant relationships.
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- Information
- European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S368
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
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- © The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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