Lawrence Maggie, Celestino Junior Francisco T, Matozinho Hemilianna Hs, Govan Lindsay, Booth Jo, Beecher Jane
Department of Nursing and Community Health, School of Health and Life Sciences, Glasgow Caledonian University, A101f, Govan Mbeki Building, Glasgow, UK, G4 0BA.
Cochrane Database Syst Rev. 2017 Dec 8;12(12):CD011483. doi: 10.1002/14651858.CD011483.pub2.
Stroke is a major health issue and cause of long-term disability and has a major emotional and socioeconomic impact. There is a need to explore options for long-term sustainable interventions that support stroke survivors to engage in meaningful activities to address life challenges after stroke. Rehabilitation focuses on recovery of function and cognition to the maximum level achievable, and may include a wide range of complementary strategies including yoga.Yoga is a mind-body practice that originated in India, and which has become increasingly widespread in the Western world. Recent evidence highlights the positive effects of yoga for people with a range of physical and psychological health conditions. A recent non-Cochrane systematic review concluded that yoga can be used as self-administered practice in stroke rehabilitation.
To assess the effectiveness of yoga, as a stroke rehabilitation intervention, on recovery of function and quality of life (QoL).
We searched the Cochrane Stroke Group Trials Register (last searched July 2017), Cochrane Central Register of Controlled Trials (CENTRAL) (last searched July 2017), MEDLINE (to July 2017), Embase (to July 2017), CINAHL (to July 2017), AMED (to July 2017), PsycINFO (to July 2017), LILACS (to July 2017), SciELO (to July 2017), IndMED (to July 2017), OTseeker (to July 2017) and PEDro (to July 2017). We also searched four trials registers, and one conference abstracts database. We screened reference lists of relevant publications and contacted authors for additional information.
We included randomised controlled trials (RCTs) that compared yoga with a waiting-list control or no intervention control in stroke survivors.
Two review authors independently extracted data from the included studies. We performed all analyses using Review Manager (RevMan). One review author entered the data into RevMan; another checked the entries. We discussed disagreements with a third review author until consensus was reached. We used the Cochrane 'Risk of bias' tool. Where we considered studies to be sufficiently similar, we conducted a meta-analysis by pooling the appropriate data. For outcomes for which it was inappropriate or impossible to pool quantitatively, we conducted a descriptive analysis and provided a narrative summary.
We included two RCTs involving 72 participants. Sixty-nine participants were included in one meta-analysis (balance). Both trials assessed QoL, along with secondary outcomes measures relating to movement and psychological outcomes; one also measured disability.In one study the Stroke Impact Scale was used to measure QoL across six domains, at baseline and post-intervention. The effect of yoga on five domains (physical, emotion, communication, social participation, stroke recovery) was not significant; however, the effect of yoga on the memory domain was significant (mean difference (MD) 15.30, 95% confidence interval (CI) 1.29 to 29.31, P = 0.03), the evidence for this finding was very low grade. In the second study, QoL was assessed using the Stroke-Specifc QoL Scale; no significant effect was found.Secondary outcomes included movement, strength and endurance, and psychological variables, pain, and disability.Balance was measured in both studies using the Berg Balance Scale; the effect of intervention was not significant (MD 2.38, 95% CI -1.41 to 6.17, P = 0.22). Sensititivy analysis did not alter the direction of effect. One study measured balance self-efficacy, using the Activities-specific Balance Confidence Scale (MD 10.60, 95% CI -7.08,= to 28.28, P = 0.24); the effect of intervention was not significant; the evidence for this finding was very low grade.One study measured gait using the Comfortable Speed Gait Test (MD 1.32, 95% CI -1.35 to 3.99, P = 0.33), and motor function using the Motor Assessment Scale (MD -4.00, 95% CI -12.42 to 4.42, P = 0.35); no significant effect was found based on very low-grade evidence.One study measured disability using the modified Rankin Scale (mRS) but reported only whether participants were independent or dependent. No significant effect was found: (odds ratio (OR) 2.08, 95% CI 0.50 to 8.60, P = 0.31); the evidence for this finding was very low grade.Anxiety and depression were measured in one study. Three measures were used: the Geriatric Depression Scale-Short Form (GCDS15), and two forms of State Trait Anxiety Inventory (STAI, Form Y) to measure state anxiety (i.e. anxiety experienced in response to stressful situations) and trait anxiety (i.e. anxiety associated with chronic psychological disorders). No significant effect was found for depression (GDS15, MD -2.10, 95% CI -4.70 to 0.50, P = 0.11) or for trait anxiety (STAI-Y2, MD -6.70, 95% CI -15.35 to 1.95, P = 0.13), based on very low-grade evidence. However, a significant effect was found for state anxiety: STAI-Y1 (MD -8.40, 95% CI -16.74 to -0.06, P = 0.05); the evidence for this finding was very low grade.No adverse events were reported.Quality of the evidenceWe assessed the quality of the evidence using GRADE. Overall, the quality of the evidence was very low, due to the small number of trials included in the review both of which were judged to be at high risk of bias, particularly in relation to incompleteness of data and selective reporting, and especially regarding the representative nature of the sample in one study.
AUTHORS' CONCLUSIONS: Yoga has the potential for being included as part of patient-centred stroke rehabilitation. However, this review has identified insufficient information to confirm or refute the effectiveness or safety of yoga as a stroke rehabilitation treatment. Further large-scale methodologically robust trials are required to establish the effectiveness of yoga as a stroke rehabilitation treatment.
中风是一个重大的健康问题,也是长期残疾的原因,对患者的情绪和社会经济状况有重大影响。有必要探索长期可持续干预措施,以支持中风幸存者参与有意义的活动,应对中风后的生活挑战。康复的重点是将功能和认知恢复到可达到的最高水平,可能包括多种辅助策略,如瑜伽。瑜伽是一种身心锻炼方法,起源于印度,在西方世界越来越普遍。最近的证据表明,瑜伽对一系列身体和心理健康状况的人有积极影响。最近一项非Cochrane系统评价得出结论,瑜伽可作为中风康复的自我管理练习方法。
评估瑜伽作为中风康复干预措施对功能恢复和生活质量(QoL)的有效性。
我们检索了Cochrane中风小组试验注册库(最后检索时间为2017年7月)、Cochrane对照试验中心注册库(CENTRAL)(最后检索时间为2017年7月)、MEDLINE(至2017年7月)、Embase(至2017年7月)、CINAHL(至2017年7月)、AMED(至2017年7月)、PsycINFO(至2017年7月)、LILACS(至2017年7月)、SciELO(至2017年7月)、IndMED(至2017年7月)、OTseeker(至2017年7月)和PEDro(至2017年7月)。我们还检索了四个试验注册库和一个会议摘要数据库。我们筛选了相关出版物的参考文献列表,并联系作者获取更多信息。
我们纳入了比较瑜伽与等待名单对照或无干预对照的中风幸存者随机对照试验(RCT)。
两位综述作者独立从纳入的研究中提取数据。我们使用Review Manager(RevMan)进行所有分析。一位综述作者将数据输入RevMan;另一位检查输入内容。我们与第三位综述作者讨论分歧,直至达成共识。我们使用Cochrane“偏倚风险”工具。当我们认为研究足够相似时,我们通过汇总适当的数据进行荟萃分析。对于不适合或无法进行定量汇总的结果,我们进行描述性分析并提供叙述性总结。
我们纳入了两项RCT,涉及72名参与者。一项荟萃分析纳入了69名参与者(平衡)。两项试验均评估了生活质量,以及与运动和心理结果相关的次要结局指标;一项试验还测量了残疾情况。在一项研究中,使用中风影响量表在基线和干预后测量六个领域的生活质量。瑜伽对五个领域(身体、情绪、沟通、社会参与、中风恢复)的影响不显著;然而,瑜伽对记忆领域的影响显著(平均差(MD)15.30,95%置信区间(CI)1.29至29.31,P = 0.03),这一发现的证据等级非常低。在第二项研究中,使用中风特异性生活质量量表评估生活质量;未发现显著影响。次要结局包括运动、力量和耐力、心理变量、疼痛和残疾。两项研究均使用伯格平衡量表测量平衡;干预效果不显著(MD 2.38,95% CI -1.41至6.17,P = 0.22)。敏感性分析未改变效果方向。一项研究使用特定活动平衡信心量表测量平衡自我效能(MD 10.60,95% CI -7.08至28.28,P = 0.24);干预效果不显著;这一发现的证据等级非常低。一项研究使用舒适速度步态测试测量步态(MD 1.32,95% CI -1.35至3.99,P = 0.33),并使用运动评估量表测量运动功能(MD -4.00,95% CI -12.42至4.42,P = 0.35);基于非常低等级的证据未发现显著影响。一项研究使用改良Rankin量表(mRS)测量残疾情况,但仅报告参与者是独立还是依赖。未发现显著影响:(比值比(OR)2.08,95% CI 0.50至8.60,P = 0.31);这一发现的证据等级非常低。一项研究测量了焦虑和抑郁。使用了三种测量方法:老年抑郁量表简表(GCDS15),以及两种形式的状态特质焦虑量表(STAI,Y型)来测量状态焦虑(即应对压力情况时体验到的焦虑)和特质焦虑(即与慢性心理障碍相关的焦虑)。基于非常低等级的证据,未发现抑郁(GDS15,MD -2.10,95% CI -4.70至0.50,P = 0.11)或特质焦虑(STAI - Y2,MD -6.70,95% CI -15.35至1.95,P = 0.13)有显著影响。然而,发现状态焦虑有显著影响:STAI - Y1(MD -8.40,95% CI -16.74至 -0.06,P = 0.05);这一发现的证据等级非常低。未报告不良事件。
我们使用GRADE评估证据质量。总体而言,证据质量非常低,因为综述中纳入的试验数量较少,且两项试验均被判定存在高偏倚风险,特别是在数据不完整和选择性报告方面,尤其是一项研究中样本的代表性问题。
瑜伽有可能作为以患者为中心的中风康复治疗手段之一。然而,本综述发现信息不足,无法证实或反驳瑜伽作为中风康复治疗的有效性或安全性。需要进一步开展大规模、方法学严谨的试验,以确定瑜伽作为中风康复治疗的有效性。