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The Influences of Tai Chi on Balance Function and Exercise Capacity among Stroke Patients: A Meta-Analysis.
- Source :
- Evidence-based Complementary & Alternative Medicine (eCAM); 5/4/2021, p1-12, 12p, 2 Diagrams, 10 Charts, 3 Graphs
- Publication Year :
- 2021
-
Abstract
- Objective. This study aims to explore the influences of Tai Chi on the balance function and exercise capacity among stroke patients. Methods. Databases including PubMed, Embase, WOS (Web of Science), the Cochrane Library, CNKI (China National Knowledge Infrastructure), Wanfang Data, VIP (VIP database), and CBM (China Biology Medicine disc) were retrieved to gather the figures of randomized controlled trials on the balance function and exercise capacity among stroke patients. Then relevant data were input and analyzed in Review Manager 5.3. Results. Nineteen papers were included and analyzed in this study. According to the combined effect size, the balance function of stroke patients improved significantly: the Berg Balance Function Scale score [MD = 7.67, 95% CI (3.44, 11.90)]; standing and walking test scores [MD = 3.42, 95% CI (4.22, −2.63)]; gravity swing area [MD = 0.79, 95% CI (1.48, 0.10)]; and gravity swing speed [MD = −5.43, 95% CI (−7.79, 3.08)]. In addition, the exercise capacity improved significantly as well: the FMA (Fugl-Meyer Assessment Scale) scale score [MD = 4.15, 95% CI (1.68, 6.63)]. There are no significant influences or changes of other related results. Conclusions. Stroke patients are able to improve their balance functions and exercise capacities prominently when they do Tai Chi exercise once or twice a week and ≥5 times/week and >30 ≤ 60 min/time. [ABSTRACT FROM AUTHOR]
- Subjects :
- STROKE treatment
ONLINE information services
EXERCISE tolerance
META-analysis
MEDICAL information storage & retrieval systems
INFORMATION storage & retrieval systems
MEDICAL databases
CONFIDENCE intervals
POSTURAL balance
SYSTEMATIC reviews
STANDING position
TAI chi
TREATMENT effectiveness
DESCRIPTIVE statistics
WALKING
STROKE patients
MEDLINE
DATA analysis software
EVALUATION
Subjects
Details
- Language :
- English
- ISSN :
- 1741427X
- Database :
- Complementary Index
- Journal :
- Evidence-based Complementary & Alternative Medicine (eCAM)
- Publication Type :
- Academic Journal
- Accession number :
- 150123108
- Full Text :
- https://doi.org/10.1155/2021/6636847