Wojnarowski, C., Firth, N., Finegan, M. et al. (1 more author) (2019) Predictors of depression relapse and recurrence after cognitive behavioural therapy: a systematic review and meta-analysis. Behavioural and cognitive psychotherapy, 47 (5). pp. 514-529. ISSN 1352-4658
Abstract
Background: Cognitive behavioural therapy (CBT) is an effective psychological treatment for major depressive disorder, although some patients experience a return of symptoms after finishing therapy. The ability to predict which individuals are more vulnerable to deterioration would allow for targeted interventions to prevent short-term relapse and longer-term recurrence.
Aim: This systematic review and meta-analysis aimed to identify factors associated with an increased risk of relapse and/or recurrence (RR) after CBT for depression.
Method: We reviewed 13 relevant papers, of which a small set of unique samples were eligible for meta-analysis (k = 5, N = 369). Twenty-six predictor variables were identified and grouped into seven categories: residual depressive symptoms; prior episodes of depression; cognitive reactivity; stressful life events; personality factors; clinical and diagnostic factors; demographics.
Results: Meta-analyses indicated that residual depressive symptoms (r = 0.34 [0.10, 0.54], p = .01) and prior episodes (r = 0.19 [0.07, 0.30], p = .002) were statistically significant predictors of RR, but cognitive reactivity was not (r = 0.18 [−0.02, 0.36], p = .08). Other variables lacked replicated findings. On average, 33.4% of patients experienced RR after CBT.
Conclusions: Patients with the above risk factors could be offered evidence-based continuation-phase interventions to enhance the longer-term effectiveness of CBT.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 British Association for Behavioural and Cognitive Psychotherapies. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Cognitive Behavioural Therapy; CBT; relapse; recurrence; depression |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Nov 2018 10:32 |
Last Modified: | 24 May 2024 15:02 |
Status: | Published |
Publisher: | Cambridge University Press |
Refereed: | Yes |
Identification Number: | 10.1017/S1352465819000080 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138413 |