Traditional Chinese exercises on depression: A network meta-analysis

Author:

Feng Yang1,Liu Jin2,Liu Peng1,Teng Jing3ORCID

Affiliation:

1. College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China

2. The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China

3. Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Abstract

Background: Exercise is an important factor for the treatment and rehabilitation of depression. Traditional Chinese exercise is considered as an effective treatment for depression. In recent years, many studies have shown that Chinese exercise therapy may be safe in the treatment of depression. To evaluate the therapeutic effect of traditional Chinese exercise on depression using network meta-analysis. Methods: PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure, VIP shop Database, China Biomedical Literature Database, and Wan Fang Data Knowledge Service Platform were included in randomized controlled studies on traditional Chinese exercises for the treatment of depression from the establishment of the library to July 2023. The literature was extracted and assessed for risk of bias using the Cochrane Risk of Bias Assessment and statistically analyzed using Review Manager 5.4 and Stata 14.2. Results: A total of 25 studies involving 3 exercises with a total of 1605 cases were included. The results of the network meta-analysis showed that each exercise significantly reduced the 24-item Hamilton Depression Scale (HAMD-24), Hamilton Anxiety Scale, Beck Depression Inventory, and Self-rating Depression Scale scores. However, conventional treatments have the advantage of improving the sleep quality of patients with depression. Conclusions: The 3 exercises included in this study were effective for depression. Baduanjin and Tai Chi were better at improving the outcomes related to depression and anxiety. The effect of sleep quality intervention was slightly worse. Larger, high-quality randomized controlled trials are needed to compare interventions across exercises in a more granular manner.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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