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The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND: Insomnia and depression often co-occur. Cognitive behavioral therapy for insomnia (CBT-I) seems to be effective and safe for mitigating insomnia and depression. However, the efficacy of digitally-delivered CBT-I (dCBT-I) remains unclear. Therefore, this meta-analysis of randomized contro...

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Autores principales: Lin, Wenyao, Li, Na, Yang, Lili, Zhang, Yuqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624170/
https://www.ncbi.nlm.nih.gov/pubmed/37927792
http://dx.doi.org/10.7717/peerj.16137
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author Lin, Wenyao
Li, Na
Yang, Lili
Zhang, Yuqing
author_facet Lin, Wenyao
Li, Na
Yang, Lili
Zhang, Yuqing
author_sort Lin, Wenyao
collection PubMed
description BACKGROUND: Insomnia and depression often co-occur. Cognitive behavioral therapy for insomnia (CBT-I) seems to be effective and safe for mitigating insomnia and depression. However, the efficacy of digitally-delivered CBT-I (dCBT-I) remains unclear. Therefore, this meta-analysis of randomized controlled trials (RCTs) was to systematically review and evaluate the efficacy of dCBT-I in adults with insomnia and depression. METHODS: A systematic search in PubMed, Cochrane, Embase, and Web of Science databases (as of June 5, 2022) was conducted for RCTs on dCBT-I. Statistical analyses were performed using Revan Manager. The effects of dCBT-I on insomnia and depression were expressed as standardized mean difference (SMD) with 95% confidence intervals (CIs). RESULTS: Seven studies involving 3,597 participants were included. This meta-analysis showed that dCBT-I reduced the severity of insomnia (SMD = −0.85, 95% CI [−1.00 to −0.69], p < 0.001) and depression (SMD = −0.47, 95% CI [−0.55 to −0.38], p < 0.001) in short terms, and also mitigated the severity of insomnia (SMD = −0.71, 95% CI [−1.00 to −0.44], p < 0.001) and depression (SMD = −0.42, 95% CI [−0.68 to −0.15], p = 0.002) in long terms. The effect of dCBT-I was comparable to that of traditional face-to-face CBT-I, and was generally maintained at follow-ups of 6 weeks to 6 months. CONCLUSION: dCBT-I seems to be effective in alleviating insomnia and depression and might be considered as a viable treatment option for depression.
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spelling pubmed-106241702023-11-04 The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials Lin, Wenyao Li, Na Yang, Lili Zhang, Yuqing PeerJ Bioinformatics BACKGROUND: Insomnia and depression often co-occur. Cognitive behavioral therapy for insomnia (CBT-I) seems to be effective and safe for mitigating insomnia and depression. However, the efficacy of digitally-delivered CBT-I (dCBT-I) remains unclear. Therefore, this meta-analysis of randomized controlled trials (RCTs) was to systematically review and evaluate the efficacy of dCBT-I in adults with insomnia and depression. METHODS: A systematic search in PubMed, Cochrane, Embase, and Web of Science databases (as of June 5, 2022) was conducted for RCTs on dCBT-I. Statistical analyses were performed using Revan Manager. The effects of dCBT-I on insomnia and depression were expressed as standardized mean difference (SMD) with 95% confidence intervals (CIs). RESULTS: Seven studies involving 3,597 participants were included. This meta-analysis showed that dCBT-I reduced the severity of insomnia (SMD = −0.85, 95% CI [−1.00 to −0.69], p < 0.001) and depression (SMD = −0.47, 95% CI [−0.55 to −0.38], p < 0.001) in short terms, and also mitigated the severity of insomnia (SMD = −0.71, 95% CI [−1.00 to −0.44], p < 0.001) and depression (SMD = −0.42, 95% CI [−0.68 to −0.15], p = 0.002) in long terms. The effect of dCBT-I was comparable to that of traditional face-to-face CBT-I, and was generally maintained at follow-ups of 6 weeks to 6 months. CONCLUSION: dCBT-I seems to be effective in alleviating insomnia and depression and might be considered as a viable treatment option for depression. PeerJ Inc. 2023-10-31 /pmc/articles/PMC10624170/ /pubmed/37927792 http://dx.doi.org/10.7717/peerj.16137 Text en ©2023 Lin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Lin, Wenyao
Li, Na
Yang, Lili
Zhang, Yuqing
The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials
title The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials
title_full The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials
title_fullStr The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials
title_full_unstemmed The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials
title_short The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials
title_sort efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624170/
https://www.ncbi.nlm.nih.gov/pubmed/37927792
http://dx.doi.org/10.7717/peerj.16137
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