scholarly journals Effect of yoga on sleep quality and insomnia in women with sleep problems: a systematic review and meta-analysis

2019 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Objectives To examine the effectiveness and safety of yoga for women with sleep problems by performing a systematic review and meta-analysis.Methods Medline/PubMed, Clincalkey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep Quality Index (PSQI), Insomnia severity index (ISI), or objective instruments, such as polysomnography, actigraphy, and safety of the intervention. For each outcome, standardized mean difference (SMD) and 95% confidence intervals (CIs) were determined. Results Nineteen studies including 1832 participants were included in this systematic review. Meta-analyses revealed positive effects of yoga using PSQI or ISI scores in 16 randomized control trials (RCTs) compared with the control group in improving sleep quality in women, PSQI (SMD = −0.54; 95% CI = −0.89 to −0.19 ; P = 0.003). However, three RCTs revealed no effects of yoga compared with the control group in reducing the severity of insomnia in women using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69). Seven RCTs revealed no evidence for effects of yoga compared with the control group in improving sleep quality for women with breast cancer using PSQI (SMD = −0.15 ; 95% CI = −0.31 to 0.01; P = 0.5). Four RCTs revealed no evidence for the effects of yoga compared with the control group in improving the sleep quality for peri-or postmenopausal women using PSQI (SMD = −0.31; 95% CI = −0.95 to 0.33; P = 0.34).Yoga was not associated with serious adverse events. Discussion This systematic review and meta-analysis found that yoga intervention in some groups of women was beneficial in managing sleep problems. Despite certain disadvantages in methodology in the included studies, yoga may be recommended as a complementary therapy to women.

2020 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Background: To examine the effectiveness and safety of yoga of women with sleep problems by performing a systematic review and meta-analysis. Methods: Medline/PubMed, ClinicalKey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June, 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep QualityIndex (PSQI),Insomnia Severity Index (ISI), or objective instruments such as polysomnography, actigraphy, and safety of the intervention. For each outcome, a standardized mean difference (SMD) and confidence intervals (CIs) of 95% were determined. Results: Nineteen studies in this systematic review included 1832 participants. The meta-analysis of the combined data conducted according to Comprehensive Meta-Analysis showed a significant improvement in sleep (SMD =−0.327, 95% CI=−0.506 to −0.148,P<0.001).Meta-analyses revealed positive effects of yoga using PSQI scores in 16 randomized control trials (RCTs), compared with the control group in improving sleep quality among women usingPSQI (SMD = −0.54; 95% CI = −0.89 to −0.19; P = 0.003). However, three RCTs revealed no effects of yoga compared to the control groupin reducing insomnia among women using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69).Yoga was not associated with any serious adverse events. Discussion: This systematic review and meta-analysis demonstrated that yoga intervention in women can be beneficial whencompared to non-active control conditions in term of managing sleep problems.The moderator analyses suggest that participants in the non-breast cancer subgroup and participants in the non-peri/postmenopausal subgroup were associated with greater benefits, with a direct correlation of total class time with quality of sleep among other related benefits.


2020 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Objectives: To examine the effectiveness and safety of yoga of women with sleep problems by performing a systematic review and meta-analysis. Methods: Medline/PubMed, ClinicalKey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June, 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep QualityIndex (PSQI),Insomnia Severity Index (ISI), or objective instruments such as polysomnography, actigraphy, and safety of the intervention. For each outcome, a standardized mean difference (SMD) and confidence intervals (CIs) of 95% were determined. Results: Nineteen studies in this systematic review included 1832 participants. The meta-analysis of the combined data conducted according to Comprehensive Meta-Analysis showed a significant improvement in sleep (SMD =−0.327, 95% CI=−0.506 to −0.148,P<0.001).Meta-analyses revealed positive effects of yoga using PSQI scores in 16 randomized control trials (RCTs), compared with the control group in improving sleep quality among women usingPSQI (SMD = −0.54; 95% CI = −0.89 to −0.19; P = 0.003). However, three RCTs revealed no effects of yoga compared to the control groupin reducing insomnia amongwomen using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69).Yoga was not associated with any serious adverse events. Discussion: This systematic review and meta-analysis demonstrated that yoga intervention in women can be beneficial whencompared to non-active control conditions in term of managing sleep problems.The moderator analyses suggest that participants in the non-breast cancer subgroup and participants in the non-peri/postmenopausal subgroup were associated with greater benefits, with a direct correlation of total class time with quality of sleep among other related benefits.


2019 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Objectives To examine the effectiveness and safety of yoga for women with sleep problems by performing a systematic review and meta-analysis. Methods Medline/PubMed, Clincalkey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality, which was measured using subjective instruments, such as the Pittsburgh Sleep Quality Index (PSQI), or objective instruments, such as polysomnography, actigraphy, and safety of the intervention. For each outcome, standardized mean difference (SMD) and 95% confidence intervals (CIs) were determined. Results Nineteen studies including 1832 participants were included in this systematic review. Meta-analyses revealed positive effects of yoga using PSQI or ISI scores in 16 randomized control trials (RCTs) compared with the control group in improving sleep quality in women, PSQI (SMD = −0.42; 95% CI = −0.76 to −0.09 ; P = 0.01). However, three RCTs revealed no effects of yoga compared with the control group in improving sleep quality in women using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69). Seven RCTs revealed no evidence for effects of yoga compared with the control group in improving sleep quality for women with breast cancer using PSQI (SMD = −0.15 ; 95% CI = −0.31 to 0.01; P = 0.5). Four RCTs revealed no evidence for the effects of yoga compared with the control group in improving the sleep quality for peri-or postmenopausal women using PSQI (SMD = −0.31; 95% CI = −0.95 to 0.33; P = 0.34).Yoga was not associated with serious adverse events. Discussion This systematic review and meta-analysis found that yoga intervention in various groups of women was beneficial in managing sleep problems. Despite certain disadvantages in methodology in the included studies, yoga may be recommended as an additional therapy to women in addition to pharmacological treatment.


2019 ◽  
Author(s):  
Weili Wang ◽  
Kuang-Huei Chen ◽  
Ying-Chieh Pan ◽  
Szu-Nian Yang ◽  
Yuan-Yu Chan

Abstract Objectives To examine the effectiveness and safety of yoga for women with sleep problems by performing a systematic review and meta-analysis.Methods Medline/PubMed, Clincalkey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep qualityor the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep Quality Index (PSQI), Insomnia severity index (ISI), or objective instruments, such as polysomnography, actigraphy, and safety of the intervention. For each outcome, standardized mean difference (SMD) and 95% confidence intervals (CIs) were determined.Results Nineteen studies including 1832 participants were included in this systematic review. Meta-analyses revealed positive effects of yoga using PSQI or ISI scores in 16 randomized control trials (RCTs) compared with the control group in improving sleep quality in women, PSQI (SMD = −0.54; 95% CI = −0.89 to −0.19 ; P = 0.003). However, three RCTs revealed no effects of yoga compared with the control group in reducing the severity of insomnia in women using ISI (SMD = −0.13; 95% CI = −0.74 to 0.48; P = 0.69). Seven RCTs revealed no evidence for effects of yoga compared with the control group in improving sleep quality for women with breast cancer using PSQI (SMD = −0.15 ; 95% CI = −0.31 to 0.01; P = 0.5). Four RCTs revealed no evidence for the effects of yoga compared with the control group in improving the sleep quality for peri-or postmenopausal women using PSQI (SMD = −0.31; 95% CI = −0.95 to 0.33; P = 0.34).Yoga was not associated with serious adverse events.Discussion This systematic review and meta-analysis found that yoga intervention in some groups of women was beneficial in managing sleep problems. Despite certain disadvantages in methodology in the included studies, yoga may be recommended as a complementary therapy to women.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Steven Kwasi Korang ◽  
Sophie Juul ◽  
Emil Eik Nielsen ◽  
Joshua Feinberg ◽  
Faiza Siddiqui ◽  
...  

Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19) which has rapidly spread worldwide. Several human randomized clinical trials assessing potential vaccines are currently underway. There is an urgent need for a living systematic review that continuously assesses the beneficial and harmful effects of all available vaccines for COVID-19. Methods/design We will conduct a living systematic review based on searches of major medical databases (e.g., MEDLINE, EMBASE, CENTRAL) and clinical trial registries from their inception onwards to identify relevant randomized clinical trials. We will update the literature search once a week to continuously assess if new evidence is available. Two review authors will independently extract data and conduct risk of bias assessments. We will include randomized clinical trials comparing any vaccine aiming to prevent COVID-19 (including but not limited to messenger RNA; DNA; non-replicating viral vector; replicating viral vector; inactivated virus; protein subunit; dendritic cell; other vaccines) with any comparator (placebo; “active placebo;” no intervention; standard care; an “active” intervention; another vaccine for COVID-19) for participants in all age groups. Primary outcomes will be all-cause mortality; a diagnosis of COVID-19; and serious adverse events. Secondary outcomes will be quality of life and non-serious adverse events. The living systematic review will include aggregate data meta-analyses, trial sequential analyses, network meta-analyses, and individual patient data meta-analyses. Within-study bias will be assessed using Cochrane risk of bias tool. The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) and Confidence in Network Meta-Analysis (CINeMA) approaches will be used to assess certainty of evidence. Observational studies describing harms identified during the search for trials will also be included and described and analyzed separately. Discussion COVID-19 has become a pandemic with substantial mortality. A living systematic review assessing the beneficial and harmful effects of different vaccines is urgently needed. This living systematic review will regularly inform best practice in vaccine prevention and clinical research of this highly prevalent disease. Systematic review registration PROSPERO CRD42020196492


BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e036927
Author(s):  
Dandan Chen ◽  
Zhihong Ye ◽  
Jing Shao ◽  
Leiwen Tang ◽  
Hui Zhang ◽  
...  

ObjectiveWe aimed to examine whether eHealth interventions can effectively improve anthropometric and biochemical indicators of patients with metabolic syndrome (MetS).DesignSystematic review and meta-analysis.MethodsPubMed, the Web of Science, Embase, Medline, CINAHL, PsycINFO, the Cochrane Library, the Chinese National Knowledge Infrastructure, the Wanfang and Weipu databases were comprehensively searched for papers that were published from database inception to May 2019. Articles were included if the participants were metabolic syndrome (MetS) patients, the participants received eHealth interventions, the participants in the control group received usual care or were wait listed, the outcomes included anthropometric and biochemical indicators of MetS, and the study was a randomised controlled trial (RCT) or a controlled clinical trial (CCT). The Quality Assessment Tool for Quantitative Studies was used to assess the methodological quality of the included articles. The meta-analysis was conducted using Review Manager V.5.3 software.ResultsIn our review, seven RCTs and two CCTs comprising 935 MetS participants met the inclusion criteria. The results of the meta-analysis revealed that eHealth interventions resulted in significant improvements in body mass index (standardised mean difference (SMD)=−0.36, 95% CI (−0.61 to −0.10), p<0.01), waist circumference (SMD=−0.47, 95% CI (−0.84 to −0.09), p=0.01) and systolic blood pressure(SMD=−0.35, 95% CI (−0.66 to −0.04), p=0.03) compared with the respective outcomes associated with the usual care or wait-listed groups. Based on the included studies, we found significant effects of the eHealth interventions on body weight. However, we did not find significant positive effects of the eHealth interventions on other metabolic parameters.ConclusionsThe results indicated that eHealth interventions were beneficial for improving specific anthropometric outcomes, but did not affect biochemical indicators of MetS. Therefore, whether researchers adopt eHealth interventions should be based on the purpose of the study. More rigorous studies are needed to confirm these findings.


2019 ◽  
Author(s):  
Emma Norris ◽  
Tommy van Steen ◽  
Artur Direito ◽  
Emmanuel Stamatakis

Objective: This review provides the first meta-analysis of the effects of physically active lessons on lesson-time and overall physical activity (PA), as well as health, cognition and educational outcomes. Design: Systematic review and meta-analysis. Six meta-analyses pooled effects on lesson-time PA, overall PA, in-class educational and overall educational outcomes, cognition and health outcomes. Meta-analyses were conducted using the metafor package in R. Risk of bias was assessed using the Cochrane tool for risk of bias. Data sources: PubMed, Embase, PsycINFO, ERIC and Web of Science, grey literature and reference lists were searched in December 2017 and April 2019. Studies eligibility criteria: Physically active lessons compared to a control group in a randomised or non-randomised design, within single component interventions in general school populations. Results: 42 studies (39 in preschool or elementary school settings, 27 randomised controlled trials) were eligible for inclusion in the systematic review and 37 of them were included across the six meta-analyses (n=12,663). Physically active lessons were found to produce large, significant increases in lesson-time PA (d=2.33; 95%CI 1.42, 3.25: k=16) and small, significant effects on overall PA (d= 0.32, 95%CI 0.18, 0.46: k=8). A large, significant effect was shown on lesson-time educational outcomes (d=0.81; 95%CI 0.47, 1.14: k=7) and a small, significant effect on overall educational outcomes (d=0.36, 95%CI [0.09, 0.63], k=25). No effects were seen on cognitive (k=3) or health outcomes (k=3). 25/42 studies had high risk of bias in at least 2 domains. Conclusion: In elementary and preschool settings, when physically active lessons were added into the curriculum they had a positive impact on both physical activity and educational outcomes. These findings support policy initiatives encouraging the incorporation of physically active lessons into teaching in elementary and preschool settings.


2021 ◽  
Author(s):  
Peter Carolan ◽  
Antje Heinrich ◽  
Kevin Munro ◽  
Rebecca Millman

Motivation influences the amount of listening effort (LE) exerted or experienced under challenging conditions, such as in high-noise environments. This systematic review and meta-analysis is the first to quantify the effects of motivation on LE. The review was pre-registered in PROSPERO, and performed in accordance with PRISMA guidelines. Eligible studies examined the influence of motivation or individual traits (related to motivation) on LE in adults. Motivational factors, coded as independent variables, included financial reward, evaluative threat, perceived competence, feedback and individual traits. LE outcomes were categorised as subjective, behavioural or physiological. The quality of evidence was assessed using an adaptation of the Cochrane Collaboration Risk of Bias Tool. Nested random-effects meta-analyses were performed to quantify and compare the influence of motivational factors across LE outcomes. After assessing 3532 records, 48 studies met the inclusion criteria and 43 were included in the meta-analyses. Risk of bias was high e.g. many studies lacked sample size justification. Motivational factors had a small-to-medium effect (mean Cohen’s d = 0.34, range: 0.11 – 0.72) on LE. When LE outcomes were considered collectively, an external manipulation of motivation (perceived competence) produced a larger mean effect size compared with individual traits. Some combinations of motivational factors and LE outcomes produced more robust effects than others, e.g. evaluative threat and subjective LE outcomes. Although wide prediction intervals and high risk of bias mean that significant positive effects cannot be guaranteed, these findings provide useful guidance on the selection of motivational factors and LE outcomes for future research.


2014 ◽  
Vol 26 (2) ◽  
pp. 147-158 ◽  
Author(s):  
Carla Cristiane da Silva ◽  
Ligia Maxwell Pereira ◽  
Jefferson Rosa Cardoso ◽  
Jonathan Patrick Moore ◽  
Fábio Yuzo Nakamura

The positive effects of physical training on heart rate variability (HRV) in healthy adults are widely recognized; however, the responsiveness to training in healthy children has not yet been established. The aim of this study was to determine the influence of physical training on HRV in prepubertal healthy children. Systematic computerized searches were performed from 1950 to 2012 in the following databases: Medline, Embase, Cinahl, Lilacs, Scielo, SportDiscus, ProQuest; Web of Science; PEDro; Academic Search Premier and the Cochrane Library. The key words used were: heart rate variability, autonomic nervous system, exercise training, physical activity, continuous exercise, intermittent exercise, children, prepubescent, adolescents, and healthy. Although the database search initially identified 6,164 studies, after removing duplicates and excluding by title the number was 148, however, only 2 studies were included in this systematic review. The meta-analysis compared the experimental group (n = 29) with the control group (n = 28) for the HRV parameters: RR intervals, SDNN, RMSSD, pNN50, LF (log), HF (log), LF/HF and Total Power (log). The meta-analysis demonstrated similar HRV indices between both the experimental and control groups. In conclusion, the available results from randomized controlled trials do not support the hypothesis that physical training improves HRV in healthy children[AUQ2].


BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e034541
Author(s):  
Charlotte Wahlich ◽  
Umar A R Chaudhry ◽  
Rebecca Fortescue ◽  
Derek G Cook ◽  
Shashivadan Hirani ◽  
...  

ObjectiveTo identify randomised controlled trials (RCTs) of physical activity (PA) interventions with objective PA outcomes in adults and to evaluate whether intervention effects were sustained beyond 12 months.DesignSystematic review and meta-analysis.Data sourcesSeven databases (Medline, Embase, PsycINFO, Web of Science, Cochrane library, CINAHL (Cumulative Index of Nursing and Allied Health Literature) and ASSIA (Applied Social Sciences Index and Abstracts)) were searched from January 2000 until December 2019.Eligibility criteriaRCTs reporting objective PA outcomes beyond 12 months with community-based participants aged ≥18 years were included; those where controls received active interventions, including advice to increase PA levels, were excluded.Data extraction and synthesisTwo independent reviewers completed extraction of aggregate data and assessed risk of bias. Meta-analyses used random-effects models at different follow-up points. Primary outcomes were daily steps and weekly minutes of moderate-to-vigorous PA (MVPA).ResultsOf 33 282 records identified, nine studies (at generally low risk of bias) were included, five in meta-analyses with 12 months to 4 year follow-up. We observed 12 month increases for intervention vs control participants in steps/day (mean difference (MD)=554 (95% CIs: 384 to 724) p<0.0001, I2=0%; 2446 participants; four studies) and weekly MVPA minutes (MD=35 (95% CI: 27 to 43) p<0.0001, I2=0%; 2647 participants; four studies). Effects were sustained up to 4 years for steps/day (MD=494 (95% CI: 251 to 738) p<0.0001, I2=0%; 1944 participants; four studies) and weekly MVPA minutes (MD=25 (95% CI: 13 to 37) p<0.0001, I2=0%; 1458 participants; three studies).ConclusionsThere are few PA interventions with objective follow-up beyond 12 months, more studies are needed. However, this review provided evidence of PA intervention effects beyond 12 months and sustained up to 4 years for both steps/day and MVPA. These findings have important implications for potential long-term health benefits.PROSPERO registration numberCRD42017075753.


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