1.Effectiveness of exercise on sleep quality in patients with Parkinson's disease:a Meta-analysis
Yuai YING ; Rui SUN ; Chen HU ; Yaolun WANG ; Lanlan ZHOU ; Hongyang HU
Chinese Journal of Nursing 2024;59(4):482-490
Objective To evaluate the effectiveness of exercise for people with Parkinson's disease on sleep quality.Methods Computerized retrieval of PubMed,Web of Science,Embase,the Cochrane Library,CINAHL,CN-KI,WanFang Data,VIP,CBM was conducted to collect randomized controlled trials about the effect of exercise on people with Parkinson's disease from inception to December,2022.There were 2 researchers who independently screened the literature,extracted the data and evaluated the risks of bias in the included studies.Meta-analysis was performed using RevMan 5.4 software.Results A total of 13 studies were included,with 874 patients.The result of meta-analysis show that the overall effect size of exercise intervention on sleep quality for people with Parkin-son's disease is significant(SMD=-0.54,95%CI=[-0.90,-0.19],P<0.01).Subgroup analysis show that the maxi-mum effect size of intervention frequency is 4-5 times/week(SMD=-0.75);the maximum effect size of exercise intensity is light intensity(SMD=-2.19);the maximum effect size of a single intervention time is 40-55 minutes(SMD=-0.69);the maximum effect size of exercise type is traditional Chinese exercise(SMD=-0.63);the maximum ef-fect size of intervention cycle is 12 weeks(SMD=-0.66).Conclusion Exercise intervention has significantly ef-fects to improve sleep quality on Parkinson's disease patients.It is a more effective way to improve sleep quality by exercising 4-5 times per week,while each exercise lasts about 40-55 min for 12 weeks in Traditional Chinese Medicine exercise with light intensity.
2.Research advances on application of sub-epidermal moisture scanner in monitoring tissue viability of early pressure injuries
Yaolun WANG ; Hongyang HU ; Qing WU ; Huiyan WEI
Chinese Journal of Burns 2024;40(1):96-100
Pressure injury (PI) not only reduces the quality of life of patients but also is expensive to manage, placing a heavy financial burden on patients and their families, and society. Despite the increasing diversity of methods used to identify early PI, there are still few methods that can truly and accurately predict early PI. The sub-epidermal moisture scanner is the first U.S. Food and Drug Administration-authorized PI management device that can predict the occurrence and development of PI by measuring the level of local tissue bio-capacitance and monitoring the tissue viability. As an emerging diagnostic instrument, the sub-epidermal moisture scanner has already shown great advantages in clinical practice, which can promote the informatization, digitization, and intelligent prevention and management of PI. This paper introduces the pathophysiological mechanism of PI, elucidates the working principle and parameter settings of the sub-epidermal moisture scanner, its clinical application in monitoring tissue viability in early PI, and its limitation, and looks forward to its future development.