The optimal exercise intervention for sleep quality in adults: A systematic review and network meta-analysis
Author: Wenjie Xie1, Dan Lu1, Siyou Liu1, Junping Li2, Rui Li3
Affiliation:
1 Beijing Sport University, Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing 100084, China.
2 Beijing Sport University, Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing 100084, China. Electronic address: doctorljp@126.com.
3 Beijing Sport University, College of Education,Beijing 100084, China.
Conference/Journal: Prev Med
Date published: 2024 Apr 17
Other:
Pages: 107955 , Special Notes: doi: 10.1016/j.ypmed.2024.107955. , Word Count: 187
Background:
The impact of various exercise modalities on the improvement of sleep quality in adults remains controversial.
Objective:
This study aimed to perform a network meta-analysis to analyze the effects of different exercise interventions on sleep quality in adults.
Methods:
The PubMed, Cochrane, Embase, Web of Science, and EBSCO databases were searched for studies published from March 18, 1993, to March 18, 2023. The Cochrane risk of bias tool was used to assess the quality of the included studies. Then, a random-effects network meta-analysis was conducted within a frequentist framework.
Results:
A total of 2142 participants from 27 randomized controlled trials were included in the analysis. Exercise modalities such as Pilates, yoga, and traditional Chinese exercises were found to significantly improve sleep quality when compared to a no-exercise control group, with Pilates exhibiting the most potent effect at a 95.3% improvement level.
Conclusion:
This study demonstrates that exercise interventions are effective in enhancing sleep quality in adults. Adapting exercise to individual preferences and needs may maximize the sleep-related benefits of the activity.
Registration:
The review was registered with PROSPERO, registration number CRD42023434565.
Keywords: Adults; Exercise; Network meta-analysis; PSQI; Sleep quality.
PMID: 38641082 DOI: 10.1016/j.ypmed.2024.107955
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