Manual therapy improves pain for articular dysfunction pattern in patient with mechanical neck pain: A Case Report
Ammar Suhail
, B. Gowthami Lakshmi Sai
Articular dysfunction, neck pain, nociception, manual therapy, Kaltenborn mobilization.
Background: Neck pain is one of leading causes of disability around the world. It has been defined and classified by numerous authors and through different models. Articular dysfunction patterns are a consolidated way to identify and classify impairments in coordination with other related factors. A sound clinical reasoning is immensely needed to identify patients with predominantly mechanical nociceptive pain from articular structures. Current practice uses a lot of combination of manual mobilization and/or manipulation in mechanical neck pain. We used mobilization with the range of motion and muscle performance exercises to decrease pain and reduce impairments. Case Description: A 27-year-old female teacher by profession presented with a history of one-week neck pain and movement restriction. On active movement examination, the patient’s pain is provoked on left side rotation and bending, and these movements are restricted. The right-side rotations and side bending are restricted and cause muscle tension and stretch. There were no red and yellow flags evident on examination. Based on physical examination, the patient was diagnosed as mechanical neck pain with articular dysfunction of convergence type. Discussion and Conclusion: The patient reported a significant decrease in the pain intensity. The identification of convergence articular dysfunction pattern resulted in better clinical reasoning and selecting the mobilization technique and thus leading to improved ranges and decreased pain intensity.
"Manual therapy improves pain for articular dysfunction pattern in patient with mechanical neck pain: A Case Report", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 12, page no.148 - 151, December-2020, Available :https://ijsdr.org/papers/IJSDR2012021.pdf
Volume 5
Issue 12,
December-2020
Pages : 148 - 151
Paper Reg. ID: IJSDR_192757
Published Paper Id: IJSDR2012021
Downloads: 000347208
Research Area: Biological Science
Country: Phagwara, Punjab, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
