BIO Web Conf.
Volume 8, 20172016 International Conference on Medicine Sciences and Bioengineering (ICMSB2016)
|Number of page(s)||6|
|Section||Session I: Medicine|
|Published online||11 January 2017|
1 Institute of Physical Education, Chengdu University, Chengdu, China
2 Institute of Physical Education, Southwest University for Nationalities, Chengdu, China
3 Institute of Physical Education, Yangtze University, Jingzhou, China
a Corresponding author: E-mail: firstname.lastname@example.org. Tel:177-2982-8135.
Objectives: We designed this study to evaluate the effect of Tai Chi exercise for hypertension patients. Methods: RCTs designed to evaluate the effect of Tai Chi exercise for hypertension patients were searched from Science Direct, EBSCO, Pub Med, CNKI and Wanfang databases. Results: The meta-analysis found that (ATC) the SBP (WMD = 13.19 mmHg; 95%CI: 11.52 to 14.87; P < 0.0001) and DBP (WMD = 8.92 mmHg; 95% CI: 7.94 to 9.90; P< 0.0001) can be significantly reduced after Tai Chi exercise compared to before Tai Chi exercise (BTC). ATC significantly improved the content of NO (WMD =−7.98mmol/L; 95%CI: −10.63 to −5.33; P < 0.0001), and decreased the content of TG (WMD =0.22mmol/ml; 95%CI: 0.06 to 0.38; P =0.006) and LDL-C (WMD =0.20mmol/ml; 95%CI: 0.13 to 0.26; P < 0.0001). There was no obvious difference between ATC and BTC on HR (WMD = 1.64; 95%CI: −0.51 to 3.97; P =0.14), TC (WMD = −0.03mmol/ml; 95%CI: −0.22 to 0.17; P =0.80) and HDL-C (WMD =−0.04 mmol/ml; 95%CI: −0.09 to 0.01; P =0.13). Conclusions: As a valid treatment for hypertension patients, Tai Chi exercise can decrease SBP, DBP, TG, LDL-C and increase NO.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.