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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 9, Issue 8, Part A (2023)

Efficacy of matrix rhythm therapy on pain and disability among patients with adhesive capsulitis of shoulder

Efficacy of matrix rhythm therapy on pain and disability among patients with adhesive capsulitis of shoulder

Author(s)
Surya, Pankaj Kumar Malik, Manish Kumar and Pratiksha Arya
Abstract
Background: Adhesive capsulitis, also known as frozen shoulder, is characterized by joint limitation, discomfort, and tissue degeneration due to thickening of the joint capsule and reduction of the glenoid cavity. Matrix Rhythm therapy (MRT), as vibratory massage, is recent advancement in physiotherapy, used to decrease the pain, improve functional status and quality of life in individuals with frozen shoulder.
Aim: Effects of matrix rhythm treatment on the pain and disability in patients with frozen shoulder.
Material and Methods: 36 participants of age group between 40-60 years old were assessed and treated at Orthostar Hospital, Khanpur, New Delhi. Two groups formed based on intervention, Group A received Conventional therapy and Group B received Conventional therapy along with Matrix Rhythm therapy. Outcome measures taken were Numeric Pain Rating Scale(NPRS) and Shoulder Pain and Disability Index (SPADI).
Results: The results showed significant statistical improvement in pain and disability reduction among subjects in group B.
Conclusion: The MRT exhibits greater and quicker results than other conventional therapies and modalities in restoring impacted shoulder joint in terms of pain and disability reduction in frozen shoulder patients.
Pages: 33-36  |  430 Views  159 Downloads


International Journal of Applied Research
How to cite this article:
Surya, Pankaj Kumar Malik, Manish Kumar, Pratiksha Arya. Efficacy of matrix rhythm therapy on pain and disability among patients with adhesive capsulitis of shoulder. Int J Appl Res 2023;9(8):33-36. DOI: 10.22271/allresearch.2023.v9.i8a.11157
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