A comparison of the effects of connective tissue massage and classical massage on chronic mechanical low back pain

比较结缔组织按摩和传统按摩对慢性机械性腰痛的影响

阅读:1

Abstract

BACKGROUND: The study aimed to compare the effects of connective tissue massage (CTM) and classical massage (CM) in patients with chronic mechanical low back pain on pain and autonomic responses and to determine the most effective manual therapy method. METHODS: Seventy individuals with chronic mechanical low back pain were randomly divided into CTM (n = 35) and CM (n = 35) groups. The participants were given a 4-week treatment protocol consisting of a hot pack, exercise, and CTM or CM for 20 sessions. A visual analog scale was used to measure pain intensity. Heart rate, blood pressure, and skin temperature were measured for the evaluation of autonomic responses. In addition, disability (Oswestry disability index), quality of life (short form 36), and sleep quality (Pittsburgh sleep quality index) were evaluated. Participants were assessed before and after the 4-week treatment period as well as at the end of the 6-week follow-up period. In addition, visual analog index measurements were repeated at the end of each treatment week. RESULTS: Pain intensity was decreased in both groups (P < .05). However, CM was more effective than CTM at the end of the 2nd week (P < .05). In autonomic responses results, there were increases in peripheral skin temperatures in both groups (P < .05). Disability, quality of life, and sleep quality improved in both groups (P < .05). There were no differences between the groups relating to autonomic responses, disability, quality of life, and sleep quality (P > .05). CONCLUSION: The results of this study showed that massages were similar effect. The fact that CM is a frequently used technique in pain management and is as effective as CTM in autonomic responses will make it more preferred in the clinic.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。