Grampes, Christian Hans-Werner (2022) Gender and comorbid depression as predictors of relapse following successful CBT in children and young people: an Individual Patient Data Meta-Analysis (IPDMA). Master thesis, Psychology.
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Abstract
Background: Anxiety disorders in children and young people (CYP) with prevalence rates of 6 - 7% can have long-term negative effects on a young person’s life. The most common treatment is cognitive behavioral therapy (CBT) which has demonstrated significant effectiveness. Previous research has estimated relapse rates for CYP following successful CBT treatment to be around 10.5%, but little is known about predictors and there are several limitations. Method: This thesis aimed at obtaining a reliable overall estimate of relapse rate for anxiety disorders in CYP following successful CBT. Furthermore, we considered two common predictors (Gender, comorbid depression) as which could significantly predict relapse. Using an Individual Patient data Meta Analysis (IPDMA) approach data from 19 studies were obtained (N = 1680 patients). After individual patient eligibility 461 participants responded to CBT treatment of which 241 relapsed within 3 - 60 months and were considered in the final analyses, multilevel binary logistic regression was performed for the analysis. Results: Our results showed an overall relapse rate of 24.5% for anxiety disorders. Neither of the predictor variables gender or comorbid depression were considered significant statistically. Conclusion: The findings show that relapse for CYP with anxiety disorders following CBT is substantially higher than previously thought. Our results suggest that the prevention of relapse for anxiety disorders in CYP deserves more attention. Keywords: Anxiety disorder; CBT; Children and young people; relapse
Item Type: | Thesis (Master) |
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Supervisor name: | Nauta, M.H. and Kooiman, B.E.A.M. |
Degree programme: | Psychology |
Differentiation route: | Clinical Psychology (CP) [Master Psychology] |
Date Deposited: | 11 Aug 2022 07:36 |
Last Modified: | 11 Aug 2022 07:36 |
URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/1266 |
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