Literature DB >> 15962274

Accuracy of predicting maximal quadriceps force from submaximal effort contractions after anterior cruciate ligament injury.

Sara J Farquhar1, Terese L Chmielewski, Lynn Snyder-Mackler.   

Abstract

Weakness and failure of voluntary activation of the quadriceps femoris muscles often occur after anterior cruciate ligament (ACL) rupture. Side-to-side strength comparisons are used as a measure of progress, and are inaccurate if the quadriceps has activation failure. Burst superimposition testing is commonly used to assess quadriceps strength and activation during a maximal volitional isometric contraction (MVIC), using the central activation ratio (CAR) calculation. A recently developed mathematical model predicts the MVIC from submaximal efforts. The purpose of this study was to compare the CAR calculation to the mathematical model. We hypothesized that the model would be a more accurate predictor of strength than the CAR calculation when voluntary activation failure is present. Data from the involved and uninvolved quadriceps muscles of 100 consecutive subjects with complete, isolated ACL rupture were retrospectively evaluated. Subjects who required multiple trials to produce an MVIC with full activation (true MVIC) were used to compare the CAR calculation, the mathematical model, and this true MVIC. Subjects unable to produce a true MVIC with multiple trials were used to compare the mathematical model to the CAR calculation. Results demonstrate that both methods reliably and accurately estimate the quadriceps weakness associated with ACL rupture. We recommend use of the CAR calculation to provide estimations of true quadriceps strength to facilitate clinical decisions about progress in rehabilitation after ACL rupture. Muscle Nerve, 2005.

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Mesh:

Year:  2005        PMID: 15962274     DOI: 10.1002/mus.20366

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  8 in total

1.  Impact of pain reported during isometric quadriceps muscle strength testing in people with knee pain: data from the osteoarthritis initiative.

Authors:  Daniel L Riddle; Paul W Stratford
Journal:  Phys Ther       Date:  2011-08-11

2.  Factors relating to gender specificity of unloading-induced declines in strength.

Authors:  Michael R Deschenes; Raymond W McCoy; Katherine A Mangis
Journal:  Muscle Nerve       Date:  2012-08       Impact factor: 3.217

3.  Validation of an adjustment equation for the burst superimposition technique in subjects post-stroke.

Authors:  Brian A Knarr; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2012-08       Impact factor: 3.217

4.  Comparison of techniques to determine human skeletal muscle voluntary activation.

Authors:  Anastasia Zarkou; Scott Stackhouse; Stuart A Binder-Macleod; Samuel C K Lee
Journal:  J Electromyogr Kinesiol       Date:  2017-06-08       Impact factor: 2.368

5.  Muscle volume as a predictor of maximum force generating ability in the plantar flexors post-stroke.

Authors:  Brian A Knarr; John W Ramsay; Thomas S Buchanan; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2013-09-11       Impact factor: 3.217

6.  Pain and effusion and quadriceps activation and strength.

Authors:  Riann M Palmieri-Smith; Mark Villwock; Brian Downie; Garin Hecht; Ron Zernicke
Journal:  J Athl Train       Date:  2013-02-20       Impact factor: 2.860

Review 7.  Quadriceps activation following knee injuries: a systematic review.

Authors:  Joseph M Hart; Brian Pietrosimone; Jay Hertel; Christopher D Ingersoll
Journal:  J Athl Train       Date:  2010 Jan-Feb       Impact factor: 2.860

8.  Using submaximal contractions to predict the maximum force-generating ability of muscles.

Authors:  Sarah Flynn; Brian A Knarr; Ramu Perumal; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2012-06       Impact factor: 3.217

  8 in total

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