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Knee Extensor Strength Is Associated with Pressure Pain Thresholds in Adults with Fibromyalgia
Authors:W. Michael Hooten  Casandra J. Rosenberg  Jason S. Eldrige  Wenchun Qu
Affiliation:1. Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, United States of America.; 2. Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, United States of America.; The University of Queensland, Australia,
Abstract:

Objective

Individuals with fibromyalgia (FM) have lower muscle strength and lower pressure pain thresholds (PPT). The primary aim of this study was to determine the associations between muscle strength and PPT in adults with FM to test the hypothesis that greater measures of muscle strength would be associated with greater values of PPT. Secondary aims included determining the effects of pain severity and the peak uptake of oxygen (Vo2) on the associations between muscle strength and PPT.

Methods

Knee extensor and flexor strength (N = 69) was measured in the dominant leg using a dynamometer, and PPT was assessed using an electronic algometer. Pain severity was determined using the Multidimensional Pain Inventory, and peak Vo2 uptake was quantified using an electronically braked cycle ergometer.

Results

Univariable linear regression analysis demonstrated a significant association between PPT (dependent variable) and isometric knee extensor (P<.001), isokinetic (60°/s) knee extensor (P = .002), and isokinetic (60°/s) knee flexor strength (P = .043). In a multiple variable linear regression analysis adjusted for age, sex, pain severity, body mass index and peak Vo2 uptake, a significant association was found between PPT and isometric knee extensor strength (P = .008). In a similar multiple variable analysis, a significant association was found between PPT and isokinetic knee extensor strength (P = .044).

Conclusion

Greater measures of isometric and isokinetic knee extensor strength were significantly associated with greater values of PPT in both univariable and multiple variable linear regression models.

Trial Registration

ClinicalTrials.govNCT01253395
Keywords:
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