Comparison Between the Effectiveness of Muscle Energy Technique and Ischemic Compression On Myofascial Trigger Points in Patients with Chronic Shoulder Pain

Author:

Bashir Kiran,Salman Bashir Muhammad,Nazim Farooq Muhammad,Amjad Fatima,Kashif Muhammad,Zafar Maryam

Abstract

Patients with chronic shoulder pain often experience myofascial trigger points. An ischemic compression (IC) slows blood flow and relieves tension by applying sustained digital pressure for a specific period of time. MET, which stands for Muscle Energy Technique, is another manual method for releasing muscle tension (inhibition). Objective: To compare the effectiveness of muscle energy technique and ischemic compression on myofascial trigger points in patients with chronic shoulder pain. Methods: In this quasi-experimental study, 40 patients were enrolled from Physical Therapy Department, DHQ hospital Faisalabad, during September 2018 to March 2019. Patients were allocated into two groups. Muscle energy technique was applied on group A (n=20) and ischemic compression was applied on group B (n=20). Both groups received treatment three days a week for four weeks. Disabilities of Arm, Shoulder and Hand questionnaire, Neck Disability Index, Visual Analogue Scale and Goniometer were used to take measurements at baseline and after four weeks of treatment. SPSS 20.0 was used for data entry and analysis. Difference between two treatments was determined by using independent t-test. Results: A statistically significant difference was found between the two groups for all outcome measures (p < 0.05) at four weeks follow-up. Conclusions: Results suggest that muscle energy technique seems more effective compared to ischemic compression in terms of decreasing pain, upper limb and neck disability and improving shoulder mobility in patients with chronic shoulder pain having myofascial trigger points.

Publisher

CrossLinks International Publishers

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3