↓ Skip to main content

Effectiveness of Chinese massage therapy (Tui Na) for chronic low back pain: study protocol for a randomized controlled trial

Overview of attention for article published in Trials, October 2014
Altmetric Badge

Mentioned by

news
3 news outlets
twitter
2 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
197 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Effectiveness of Chinese massage therapy (Tui Na) for chronic low back pain: study protocol for a randomized controlled trial
Published in
Trials, October 2014
DOI 10.1186/1745-6215-15-418
Pubmed ID
Authors

Mingxiao Yang, Yue Feng, Hong Pei, Shufang Deng, Minyu Wang, Xianjun Xiao, Hui Zheng, Zhenhong Lai, Jiao Chen, Xiang Li, Xiaoguo He, Fanrong Liang

Abstract

Low back pain is a common, disabling musculoskeletal disorder in both developing and developed countries. Although often recommended, the potential efficacy of massage therapy in general, and Chinese massage (tuina) in particular, for relief of chronic low back pain (CLBP) has not been fully established due to inadequate sample sizes, low methodological quality, and subclinical dosing regimens of trials to date. Thus, the purpose of this randomized controlled trial (RCT) is to evaluate the comparative effectiveness of tuina massage therapy versus conventional analgesics for CLBP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Canada 1 <1%
Unknown 195 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 53 27%
Student > Master 24 12%
Student > Doctoral Student 15 8%
Researcher 11 6%
Student > Postgraduate 11 6%
Other 28 14%
Unknown 55 28%
Readers by discipline Count As %
Medicine and Dentistry 67 34%
Nursing and Health Professions 35 18%
Sports and Recreations 4 2%
Social Sciences 4 2%
Agricultural and Biological Sciences 3 2%
Other 21 11%
Unknown 63 32%