うつ病ハイリスク集団におけるうつ病発症予防のための認知行動療法の構成要素:系統的レビューとコンポーネントネットワークメタアナリシス
Masatsugu Sakata1, Ethan Sahker2, Yan Luo3
1Department of Neurodevelopmental Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan; Department of Health Promotion and Behavioral Sciences, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan; International Institute for Integrative Sleep Medicine (WPI-IIIS), Tsukuba Institute for Advanced Research (TIAR), University of Tsukuba, Tsukuba, Japan.
Objectives:
Cognitive Behavioral Therapy (CBT) is a promising strategy for preventing onset of depression. This systematic review and component network meta-analysis (cNMA) investigated efficacious and harmful components including various skills and delivery formats of CBT for preventing depression onset among at-risk populations.
Eligibility Criteria:
We selected randomized trials of preventive CBT interventions from a previous systematic review (Cuijpers et al., 2021), and conducted an additional search on PubMed and PsycINFO up to January 2022.
Methods Of Synthesis:
The primary outcome was incidence of diagnosed depression. Both intervention-level NMA and cNMA estimated the preventive effect of intervention arms and components.
Results:
We identified 44 prevention trials (N = 9519). The intervention-level NMA demonstrated the preventive effects of CBT over no intervention (OR=0.52, 95 %CI: 0.39 to 0.69). There was some evidence from cNMA showing that problem-solving and behavioral activation may be beneficial in preventing depression. These two components combined in the unguided self-help or the group format showed an odds ratio of 0.25 (95 %CI: 0.08 to 0.81 ) and 0.31 (95 %CI: 0.15 to 0.64), respectively. We developed a web application estimating the relative and absolute effects of various combinations of components (https://yan-luo.shinyapps.io/cNMA_depression/).
Conclusion:
Our results support the preventive effect of CBT on depression onset. In particular, efficacious depression prevention interventions can include problem-solving and behavioral activation.
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