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Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis

Authors
 Suonaa Lee  ;  Jae Won Oh  ;  Kyung Mee Park  ;  San Lee  ;  Eun Lee 
Citation
 NPJ DIGITAL MEDICINE, Vol.6(1) : 52, 2023-03 
Journal Title
NPJ DIGITAL MEDICINE(Nature partner journals digital medicine Digital medicine)
Issue Date
2023-03
Abstract
Despite research into the development of digital cognitive behavioral therapy for insomnia (dCBT-I), research into the outcomes of dCBT-I on insomnia and the associated clinical conditions of depression and anxiety have been limited. The PubMed, PsycINFO (Ovid), Embase, and Cochrane databases were searched for randomized controlled trials (RCTs) on adult patients with insomnia also having reported measures of depressive or anxiety symptoms. In total, 2504 articles were identified after duplicate removal, and 22 RCTs were included in the final meta-analysis. At the post-treatment assessment, the dCBT-I group had a small to moderate effect in alleviating depressive (standardized mean difference (SMD) = -0.42; 95% CI: -0.56, -0.28; p < 0.001; k = 21) and anxiety symptoms (SMD = -0.29; 95% CI: -0.40, -0.19; p < 0.001; k = 18), but had a large effect on sleep outcome measures (SMD = -0.76; 95% CI: -0.95, -0.57; p < 0.001; k = 22). When considering treatment adherence, the treatment effects of those in the high adherent groups identified a more robust outcome, showing greater effect sizes than those in the low adherent groups for depression, anxiety, and sleep outcomes. Furthermore, additional subgroup analysis on studies that have used the fully automated dCBT-I treatment without the support of human therapists reported significant treatment effects for depression, anxiety, and sleep outcomes. The results demonstrated that digital intervention for insomnia yielded significant effects on alleviating depressive and anxiety symptoms as well as insomnia symptoms. Specifically, the study demonstrated significant effects on the above symptoms when considering treatment adherence and implementing fully automated dCBT-I.
Files in This Item:
T202301918.pdf Download
DOI
10.1038/s41746-023-00800-3
Appears in Collections:
6. Others (기타) > Others (기타) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Park, Kyung Mee(박경미) ORCID logo https://orcid.org/0000-0002-2416-2683
Lee, San(이산) ORCID logo https://orcid.org/0000-0003-4834-8463
Lee, Eun(이은) ORCID logo https://orcid.org/0000-0002-7462-0144
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/194077
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