Zhi-Jun Bu, Feng-Shuang Liu, Md Shahjalal, Yi-Ke Song, Meng-Chi Li, Rong-Er Zhuo, Qing-Hong Zhong, Ya-Wen Du, Chen-Ge Lu, Zi-Han Yang, Han-Yu Yang, Pu Zhong, Jian-Ping Liu, Zhao-Lan Liu
{"title":"Effects of various exercise interventions in insomnia patients: a systematic review and network meta-analysis.","authors":"Zhi-Jun Bu, Feng-Shuang Liu, Md Shahjalal, Yi-Ke Song, Meng-Chi Li, Rong-Er Zhuo, Qing-Hong Zhong, Ya-Wen Du, Chen-Ge Lu, Zi-Han Yang, Han-Yu Yang, Pu Zhong, Jian-Ping Liu, Zhao-Lan Liu","doi":"10.1136/bmjebm-2024-113512","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To compare the effectiveness of different exercise interventions in improving sleep quality and alleviating insomnia severity among patients with insomnia.</p><p><strong>Design: </strong>Our study design was a systematic review and network meta-analysis.</p><p><strong>Eligibility criteria: </strong>Our study eligibility criteria was restricted to include randomised controlled trials (RCTs) involving adults with insomnia that evaluated exercise-based interventions.</p><p><strong>Data sources: </strong>PubMed, Cochrane Library, Embase, Web of Science, SPORTDiscus, and PsycINFO databases were systematically searched from inception to 1 April 2025.</p><p><strong>Risk of bias and certainty assessment: </strong>Risk of bias was assessed using the Cochrane Risk of Bias 2 Tool. The certainty of the evidence was evaluated using the Confidence in Network Meta-Analysis (CINeMA) platform.</p><p><strong>Synthesis of results: </strong>A frequentist network meta-analysis was performed to assess the effectiveness of interventions, with outcomes presented as mean differences (MDs) and 95% confidence intervals (95% CIs). Sleep outcomes were measured using validated tools, including the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), sleep diaries, and combined objective sleep measures such as polysomnography or actigraphy.</p><p><strong>Results: </strong>The review included 1348 participants from 22 RCTs, examining 13 distinct interventions, of which seven were exercise-based: yoga, Tai Chi, walking or jogging, aerobic plus strength exercise, strength training alone, aerobic exercise combined with therapy, and mixed aerobic exercises. Among the included trials, four (18%) were rated as low risk of bias, 15 (68%) had some concerns, and three (14%) were considered to have a high risk. Compared with active controls (eg, usual care, lifestyle modifications), yoga likely results in a large increase in total sleep time (MD 110.88 minutes (min), 95% CI 58.66 to 163.09; moderate-certainty evidence) and may improve sleep efficiency (MD 15.59%, 95% CI 5.76 to 25.42; low-certainty evidence), reduce wake after sleep onset (MD -55.91 min, 95% CI -98.14 to -13.68; low-certainty evidence), and shorten sleep onset latency (MD -29.27 min, 95% CI -50.09 to -8.45; low-certainty evidence), all based on sleep diary data. Walking or jogging may result in a large reduction in ISI scores (MD -9.57 points, 95% CI -12.12 to -7.02; low-certainty evidence). Tai Chi may reduce PSQI scores (MD -4.57 points, 95% CI -7.50 to -1.63; low-certainty evidence), increase total sleep time (MD 52.07 min, 95% CI 25.53 to 78.61; low-certainty evidence), reduce wake after sleep onset (MD -36.11 min, 95% CI -62.81 to -9.42; low-certainty evidence), and shorten sleep onset latency (MD -24.76 min, 95% CI -41.07 to -8.46; low-certainty evidence), also based on sleep diary data. Additionally, Tai Chi may increase total sleep time as measured by combined objective sleep measures (MD 24.09 min, 95% CI 4.66 to 43.52; low-certainty evidence).</p><p><strong>Conclusion: </strong>Exercise is an effective treatment for improving sleep in patients with insomnia. Among the various exercise interventions, yoga, Tai Chi and walking or jogging are more effective than other exercises. To further validate and strengthen these conclusions, large-scale, high-quality and well-designed RCTs are needed.</p><p><strong>Trial registration number: </strong>CRD42024541899.</p>","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":" ","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Evidence-Based Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjebm-2024-113512","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To compare the effectiveness of different exercise interventions in improving sleep quality and alleviating insomnia severity among patients with insomnia.
Design: Our study design was a systematic review and network meta-analysis.
Eligibility criteria: Our study eligibility criteria was restricted to include randomised controlled trials (RCTs) involving adults with insomnia that evaluated exercise-based interventions.
Data sources: PubMed, Cochrane Library, Embase, Web of Science, SPORTDiscus, and PsycINFO databases were systematically searched from inception to 1 April 2025.
Risk of bias and certainty assessment: Risk of bias was assessed using the Cochrane Risk of Bias 2 Tool. The certainty of the evidence was evaluated using the Confidence in Network Meta-Analysis (CINeMA) platform.
Synthesis of results: A frequentist network meta-analysis was performed to assess the effectiveness of interventions, with outcomes presented as mean differences (MDs) and 95% confidence intervals (95% CIs). Sleep outcomes were measured using validated tools, including the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), sleep diaries, and combined objective sleep measures such as polysomnography or actigraphy.
Results: The review included 1348 participants from 22 RCTs, examining 13 distinct interventions, of which seven were exercise-based: yoga, Tai Chi, walking or jogging, aerobic plus strength exercise, strength training alone, aerobic exercise combined with therapy, and mixed aerobic exercises. Among the included trials, four (18%) were rated as low risk of bias, 15 (68%) had some concerns, and three (14%) were considered to have a high risk. Compared with active controls (eg, usual care, lifestyle modifications), yoga likely results in a large increase in total sleep time (MD 110.88 minutes (min), 95% CI 58.66 to 163.09; moderate-certainty evidence) and may improve sleep efficiency (MD 15.59%, 95% CI 5.76 to 25.42; low-certainty evidence), reduce wake after sleep onset (MD -55.91 min, 95% CI -98.14 to -13.68; low-certainty evidence), and shorten sleep onset latency (MD -29.27 min, 95% CI -50.09 to -8.45; low-certainty evidence), all based on sleep diary data. Walking or jogging may result in a large reduction in ISI scores (MD -9.57 points, 95% CI -12.12 to -7.02; low-certainty evidence). Tai Chi may reduce PSQI scores (MD -4.57 points, 95% CI -7.50 to -1.63; low-certainty evidence), increase total sleep time (MD 52.07 min, 95% CI 25.53 to 78.61; low-certainty evidence), reduce wake after sleep onset (MD -36.11 min, 95% CI -62.81 to -9.42; low-certainty evidence), and shorten sleep onset latency (MD -24.76 min, 95% CI -41.07 to -8.46; low-certainty evidence), also based on sleep diary data. Additionally, Tai Chi may increase total sleep time as measured by combined objective sleep measures (MD 24.09 min, 95% CI 4.66 to 43.52; low-certainty evidence).
Conclusion: Exercise is an effective treatment for improving sleep in patients with insomnia. Among the various exercise interventions, yoga, Tai Chi and walking or jogging are more effective than other exercises. To further validate and strengthen these conclusions, large-scale, high-quality and well-designed RCTs are needed.
目的:比较不同运动干预对改善失眠患者睡眠质量和减轻失眠严重程度的效果。设计:我们的研究设计是系统回顾和网络荟萃分析。入选标准:我们的研究入选标准被限制为随机对照试验(RCTs),包括评估基于运动的干预措施的成人失眠患者。数据来源:PubMed, Cochrane Library, Embase, Web of Science, SPORTDiscus和PsycINFO数据库系统检索自成立至2025年4月1日。偏倚风险和确定性评估:使用Cochrane Risk of bias 2工具评估偏倚风险。使用网络元分析(CINeMA)平台对证据的确定性进行评估。结果综合:采用频率网络荟萃分析来评估干预措施的有效性,结果以平均差异(md)和95%置信区间(95% ci)表示。使用经过验证的工具测量睡眠结果,包括匹兹堡睡眠质量指数(PSQI)、失眠严重程度指数(ISI)、睡眠日记和综合客观睡眠测量,如多导睡眠仪或活动仪。结果:该综述包括来自22项随机对照试验的1348名参与者,检查了13种不同的干预措施,其中7种是基于运动的:瑜伽、太极、散步或慢跑、有氧加力量运动、单独力量训练、有氧运动结合治疗和混合有氧运动。在纳入的试验中,4项(18%)被评为低偏倚风险,15项(68%)有一些担忧,3项(14%)被认为具有高风险。与主动对照组(如常规护理、生活方式改变)相比,瑜伽可能会导致总睡眠时间大幅增加(MD 110.88分钟),95% CI 58.66至163.09;中等确定性证据)并可能改善睡眠效率(MD 15.59%, 95% CI 5.76 ~ 25.42;低确定性证据),睡眠开始后减少清醒(MD -55.91 min, 95% CI -98.14 ~ -13.68;低确定性证据),并缩短睡眠发作潜伏期(MD -29.27 min, 95% CI -50.09至-8.45;低确定性证据),均基于睡眠日记数据。步行或慢跑可能导致ISI评分大幅下降(MD -9.57分,95% CI -12.12至-7.02;确定性的证据)。太极拳可能降低PSQI评分(MD -4.57分,95% CI -7.50至-1.63;低确定性证据),增加总睡眠时间(MD 52.07 min, 95% CI 25.53 ~ 78.61;低确定性证据),睡眠开始后减少清醒(MD -36.11 min, 95% CI -62.81至-9.42;低确定性证据),并缩短睡眠发作潜伏期(MD -24.76 min, 95% CI -41.07至-8.46;低确定性证据),也基于睡眠日记数据。此外,通过综合客观睡眠测量,太极拳可以增加总睡眠时间(MD 24.09 min, 95% CI 4.66 ~ 43.52;确定性的证据)。结论:运动是改善失眠患者睡眠的有效方法。在各种运动干预中,瑜伽、太极和散步或慢跑比其他运动更有效。为了进一步验证和强化这些结论,需要进行大规模、高质量、设计良好的随机对照试验。试验注册号:CRD42024541899。
期刊介绍:
BMJ Evidence-Based Medicine (BMJ EBM) publishes original evidence-based research, insights and opinions on what matters for health care. We focus on the tools, methods, and concepts that are basic and central to practising evidence-based medicine and deliver relevant, trustworthy and impactful evidence.
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