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Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis
BACKGROUND: Depression is a common, disabling condition for which psychological treatments are recommended. Behavioural activation has attracted increased interest in recent years. It has been over 5 years since our meta-analyses summarised the evidence supporting and this systematic review updates...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061095/ https://www.ncbi.nlm.nih.gov/pubmed/24936656 http://dx.doi.org/10.1371/journal.pone.0100100 |
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author | Ekers, David Webster, Lisa Van Straten, Annemieke Cuijpers, Pim Richards, David Gilbody, Simon |
author_facet | Ekers, David Webster, Lisa Van Straten, Annemieke Cuijpers, Pim Richards, David Gilbody, Simon |
author_sort | Ekers, David |
collection | PubMed |
description | BACKGROUND: Depression is a common, disabling condition for which psychological treatments are recommended. Behavioural activation has attracted increased interest in recent years. It has been over 5 years since our meta-analyses summarised the evidence supporting and this systematic review updates those findings and examines moderators of treatment effect. METHOD: Randomised trials of behavioural activation for depression versus controls or anti-depressant medication were identified using electronic database searches, previous reviews and reference lists. Data on symptom level and study level moderators were extracted and analysed using meta-analysis, sub-group analysis and meta-regression respectively. RESULTS: Twenty six randomised controlled trials including 1524 subjects were included in this meta-analysis. A random effects meta-analysis of symptom level post treatment showed behavioural activation to be superior to controls (SMD −0.74 CI −0.91 to −0.56, k = 25, N = 1088) and medication (SMD −0.42 CI −0.83 to-0.00, k = 4, N = 283). Study quality was low in the majority of studies and follow- up time periods short. There was no indication of publication bias and subgroup analysis showed limited association between moderators and effect size. CONCLUSIONS: The results in this meta-analysis support and strengthen the evidence base indicating Behavioural Activation is an effective treatment for depression. Further high quality research with longer term follow-up is needed to strengthen the evidence base. |
format | Online Article Text |
id | pubmed-4061095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40610952014-06-20 Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis Ekers, David Webster, Lisa Van Straten, Annemieke Cuijpers, Pim Richards, David Gilbody, Simon PLoS One Research Article BACKGROUND: Depression is a common, disabling condition for which psychological treatments are recommended. Behavioural activation has attracted increased interest in recent years. It has been over 5 years since our meta-analyses summarised the evidence supporting and this systematic review updates those findings and examines moderators of treatment effect. METHOD: Randomised trials of behavioural activation for depression versus controls or anti-depressant medication were identified using electronic database searches, previous reviews and reference lists. Data on symptom level and study level moderators were extracted and analysed using meta-analysis, sub-group analysis and meta-regression respectively. RESULTS: Twenty six randomised controlled trials including 1524 subjects were included in this meta-analysis. A random effects meta-analysis of symptom level post treatment showed behavioural activation to be superior to controls (SMD −0.74 CI −0.91 to −0.56, k = 25, N = 1088) and medication (SMD −0.42 CI −0.83 to-0.00, k = 4, N = 283). Study quality was low in the majority of studies and follow- up time periods short. There was no indication of publication bias and subgroup analysis showed limited association between moderators and effect size. CONCLUSIONS: The results in this meta-analysis support and strengthen the evidence base indicating Behavioural Activation is an effective treatment for depression. Further high quality research with longer term follow-up is needed to strengthen the evidence base. Public Library of Science 2014-06-17 /pmc/articles/PMC4061095/ /pubmed/24936656 http://dx.doi.org/10.1371/journal.pone.0100100 Text en © 2014 Ekers et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Ekers, David Webster, Lisa Van Straten, Annemieke Cuijpers, Pim Richards, David Gilbody, Simon Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis |
title | Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis |
title_full | Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis |
title_fullStr | Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis |
title_full_unstemmed | Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis |
title_short | Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis |
title_sort | behavioural activation for depression; an update of meta-analysis of effectiveness and sub group analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061095/ https://www.ncbi.nlm.nih.gov/pubmed/24936656 http://dx.doi.org/10.1371/journal.pone.0100100 |
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