scholarly journals Can acupuncture improve sleep quality and anxiety among women during perimenopause? A systematic review and meta-analysis

Author(s):  
Yanpei Ping ◽  
◽  
Chao Liang ◽  
Xixi Fan ◽  
Zhongnan Wang
2018 ◽  
Vol 77 ◽  
pp. 189-196 ◽  
Author(s):  
Fan Feng ◽  
Yingshi Zhang ◽  
Jun Hou ◽  
Jiayi Cai ◽  
Qiyu Jiang ◽  
...  

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5172 ◽  
Author(s):  
Masahiro Banno ◽  
Yudai Harada ◽  
Masashi Taniguchi ◽  
Ryo Tobita ◽  
Hiraku Tsujimoto ◽  
...  

BackgroundInsomnia is common. However, no systematic reviews have examined the effect of exercise on patients with primary and secondary insomnia, defined as both sleep disruption and daytime impairment. This systematic review and meta-analysis aimed to examine the effectiveness/efficacy of exercise in patients with insomnia.MethodsWe searched the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, PsycINFO, World Health Organization International Clinical Trials Registry Platform, and ClinicalTrials.gov to identify all randomized controlled trials that examined the effects of exercise on various sleep parameters in patients with insomnia. All participants were diagnosed with insomnia, using standard diagnostic criteria or predetermined criteria and standard measures. Data on outcome measures were subjected to meta-analyses using random-effects models. The Cochrane Risk of Bias Tool and Grading of Recommendations, Assessment, Development, and Evaluation approach were used to assess the quality of the individual studies and the body of evidence, respectively.ResultsWe included nine studies with a total of 557 participants. According to the Pittsburgh Sleep Quality Index (mean difference [MD], 2.87 points lower in the intervention group; 95% confidence interval [CI], 3.95 points lower to 1.79 points lower; low-quality evidence) and the Insomnia Severity Index (MD, 3.22 points lower in the intervention group; 95% CI, 5.36 points lower to 1.07 points lower; very low-quality evidence), exercise was beneficial. However, exercise interventions were not associated with improved sleep efficiency (MD, 0.56% lower in the intervention group; 95% CI, 3.42% lower to 2.31% higher; moderate-quality evidence). Only four studies noted adverse effects. Most studies had a high or unclear risk of selection bias.DiscussionOur findings suggest that exercise can improve sleep quality without notable adverse effects. Most trials had a high risk of selection bias. Higher quality research is needed.


2019 ◽  
Vol 109 ◽  
pp. 96-106 ◽  
Author(s):  
Oscar Lederman ◽  
Philip B. Ward ◽  
Joseph Firth ◽  
Christopher Maloney ◽  
Rebekah Carney ◽  
...  

2021 ◽  
Vol 13 (4) ◽  
pp. 1389-1397
Author(s):  
Song‐po Shen ◽  
Ying‐jie Wang ◽  
Qiang Zhang ◽  
Hua Qiang ◽  
Xi‐sheng Weng

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A265-A266
Author(s):  
Yishi Sun ◽  
Isabelle Laksono ◽  
Janannii Selvanathan ◽  
Aparna Saripella ◽  
Mahesh Nagappa ◽  
...  

Abstract Introduction In individuals with chronic pain, sleep disturbances have been suggested to increase suffering, perception of pain, and to negatively affect long-term prognosis. This systematic review and meta-analysis aims to determine the pooled prevalence of sleep disturbances in chronic non-cancer pain patients with no other sleep disorders, using the patient-rated questionnaires Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Methods Multiple databases were searched for studies reporting the prevalence of sleep disturbances in chronic pain patients. Chronic pain was defined as pain >3 months. Comorbid sleep disorders such as sleep disordered breathing and restless leg syndrome were excluded. Sleep disturbances were defined using the PSQI cutoff of > 5 (poor sleep quality) and ISI ≥ 8 (subthreshold to clinical insomnia). The meta-analysis was conducted to examine the pooled prevalence of PSQI and ISI data using the inverse-variance random-effects model and to examine mean differences in PSQI scores. Results The systematic search resulted in 25,486 articles and 20 were included for analysis. In 12 studies using PSQI, the pooled prevalence of sleep disturbance was 75.3% among 3,597 chronic pain patients (mean age 53 ± 12 years; 74% female). In eight studies using ISI, the pooled prevalence was 72.9% among 2,578 chronic pain patients (mean age 63 ± 12 years; 57% female). The meta-analysis showed a significant mean difference of 2.75 (p < 0.001) in the global PSQI score between the chronic pain group versus the non-chronic pain group. The meta-analysis also showed a significant mean difference in the scores of four of seven PSQI components: sleep latency, sleep efficiency, sleep duration, and sleep disturbances (p < 0.05). Conclusion In chronic pain patients, the pooled prevalence of sleep disturbances as measured by PSQI (75.3%) and ISI (72.9%) studies was much higher than those reported for the general population. The relatively high prevalence of sleep disturbances in chronic pain patients emphasizes the importance of further characterizing the relationship between sleep and chronic pain. Support (if any):


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