中药与运动结合治疗失眠症:系统回顾与荟萃分析

Chunyu Wang, Rou-Jia Wang, Yu-juan Zhang, Shu-Bin Fu, Song Yan, Lin Zhang
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引用次数: 0

摘要

背景:作为一种疾病,失眠常常被大众所忽视。不直接致命的失眠,如果不加以重视,可能相当于慢性自杀。然而,关于如何治疗失眠有很多理论,研究人员一直在寻找治愈方法。中草药(CHM)和运动疗法(ET)相对有效,自古以来就被用于治疗失眠。本研究旨在探讨CHM联合ET (CHM-ET)对失眠症患者的影响。方法:检索PubMed、Web of Science、EMBASE、Cochrane图书馆、中国知网(CNKI)、中国生物医学光盘(CBMdisc)、中国科技期刊数据库(VIP)、万方数据库等8个电子数据库,检索截至2022年9月13日评价CHM-ET治疗失眠患者的随机对照试验(RCTs)。两名研究人员阅读并筛选出版物以提取数据。我们采用匹兹堡睡眠质量指数(PSQI)作为每项研究的评价指标,另一项为总有效率(TER)。采用Cochrane偏倚风险评估工具对纳入文献的偏倚风险进行评估。该结果的证据水平采用GARDE方法进行评估。meta分析采用STATA 14软件和RevMan 5.3进行。研究方法注册号为PROSPERO (CRD42022350926)。结果:纳入14项随机对照试验,共纳入1126名受试者。与对照组相比,实验组睡眠效果明显改善,PSQI评分降低[mean difference (MD) = - 2.47, 95%可信区间(CI) (- 3.15, - 1.78), i2 = 92%],证据质量低,TER [risk ratio (RR) = 1.23, 95% CI (1.14, 1.33), i2 = 40%],证据质量中等。与催眠药物相比,CHM-ET显著降低PSQI评分[平均差异(MD) = - 3.18, 95% CI (- 5.48, - 0.89), i2 = 73%],证据质量较低。与低证据质量的单一CHM[平均差值(MD) = - 3.04, 95% CI (- 5.84, - 0.25), i2 = 98%]和中等证据质量的ET[平均差值(MD) = - 2.44, 95% CI (- 2.87, - 2.02), i2 = 0%]相比,CHM-ET的PSQI显著降低。未见严重不良反应。结论:本综述提示CHM-ET可能是治疗失眠的有效方法。然而,考虑到试验中所包含的研究和方法的质量有限,需要进一步严格的随机对照试验以获得更准确的结果。
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Integration of Chinese herbal medicines and exercise for insomnia: a systematic review and meta-analysis
Background: As a disease, insomnia is often ignored by the general public. Insomnia, which not directly fatal, may be equivalent to chronic suicide if it is not paid attention to. However, there are many theories on how to treat insomnia, and researchers have been searching for a cure. Chinese herbal medicine (CHM) and exercise therapy (ET) are relatively effective, and have been used since ancient times to treat insomnia. This study aimed to examine the effect of CHM combined with ET (CHM-ET) on patients with insomnia. Methods: We searched eight electronic databases including PubMed, Web of Science, EMBASE, the Cochrane Library, the China National Knowledge Infrastructure (CNKI), the China Biology Medicine disc (CBMdisc), the China Science and Technology Journal Database (VIP), the Wanfang Database to find randomized controlled trials (RCTs) evaluating CHM-ET in the treatment of insomnia patients up to September 13, 2022. Two researchers read and screened the publications to extract data. We used the pittsburgh sleep quality index (PSQI) as the evaluation indicators for each study, and the other was the total effective rate (TER). The Cochrane risk-of-bias assessment tool was used to assess the risk of bias of the included literature. The level of evidence for this result was assessed by GARDE method. The meta-analysis was performed using STATA 14 software and RevMan 5.3. The research method was registered with PROSPERO (CRD42022350926). Results: We included fourteen randomized controlled trials, which including a total of 1,126 participants. Compared with the control group, the experimental group showed significantly improvements in sleep effect as reflected by the reduced PSQI score [mean difference (MD) = −2.47, 95% confidence interval (CI) (−3.15, −1.78), I 2 = 92%] with low quality of evidence, and increased TER [risk ratio (RR) = 1.23, 95% CI (1.14, 1.33), I 2 = 40%] with moderate quality of evidence. Compared with hypnotic drugs, CHM-ET significantly reduced the PSQI score [mean difference (MD) = −3.18, 95% CI (−5.48, −0.89), I 2 = 73%] with low quality of evidence. The PSQI of CHM-ET significantly decreased compared with single CHM [mean difference (MD) = −3.04, 95% CI (−5.84, −0.25), I 2 = 98%] with low quality of evidence, and ET [mean difference (MD) = −2.44, 95% CI (−2.87, −2.02), I 2 = 0%] with moderate quality of evidence. No serious adverse reactions were observed. Conclusion: This review suggested that CHM-ET may be an effective treatment for insomnia. However, given the limited quality of the studies and methodologies included in the trials, further rigorous randomized controlled trials are needed for more accurate results.
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