Optimal exercise dose and type for improving sleep quality: a systematic review and network meta-analysis of RCTs

作者：Li Li, Chunxiao Wang, Dandan Wang, Hua Li, Shuai Zhang, Yuanchun He, Ping Wang · 发表于：Frontiers in Psychology · 年份：2024 · DOI：10.3389/fpsyg.2024.1466277 · 被引用次数：15 · 研究领域：Sleep and related disorders、Physical Activity and Health、Sleep and Work-Related Fatigue

Background: A substantial amount of research has explored the intricate relationship between exercise and sleep quality, consistently confirming that exercise can effectively enhance sleep quality. Nevertheless, previous studies have yet to conclusively determine which specific exercise program is most efficacious in improving sleep quality. To address this gap, the present study systematically evaluated the differential effects of various types of exercise, as well as exercise dosages (including duration, intervention period, frequency, and intensity), on sleep outcomes using a network meta-analysis approach. This endeavor aims to provide evidence-based support for the development of scientifically effective exercise programs tailored to improve sleep quality. Methods: Through the Web of Science, PubMed, Cochrane Library, Embase, and Scopus databases, we conducted a search for randomized controlled trials investigating the effects of exercise interventions on sleep, with a search cutoff date of April 30, 2024. We rigorously selected the literature according to the PICOS principle, and two independent researchers extracted the data. We would like to change this passage to: Bias risk assessment was conducted using the RevMan 5.4 software, and traditional meta-analysis and network meta-analysis were performed using Stata 17.0 software to generate forest plots, network evidence plots, and funnel plots. Furthermore, we adopted the surface under the cumulative ranking curve (SUCRA...