Document Detail

A phenomenological model of muscle fatigue and the power-endurance relationship.
MedLine Citation:
PMID:  23019318     Owner:  NLM     Status:  MEDLINE    
The relationship between power output and the time that it can be sustained during exercise (i.e., endurance) at high intensities is curvilinear. Although fatigue is implicit in this relationship, there is little evidence pertaining to it. To address this, we developed a phenomenological model that predicts the temporal response of muscle power during submaximal and maximal exercise and which was based on the type, contractile properties (e.g., fatiguability), and recruitment of motor units (MUs) during exercise. The model was first used to predict power outputs during all-out exercise when fatigue is clearly manifest and for several distributions of MU type. The model was then used to predict times that different submaximal power outputs could be sustained for several MU distributions, from which several power-endurance curves were obtained. The model was simultaneously fitted to two sets of human data pertaining to all-out exercise (power-time profile) and submaximal exercise (power-endurance relationship), yielding a high goodness of fit (R(2) = 0.96-0.97). This suggested that this simple model provides an accurate description of human power output during submaximal and maximal exercise and that fatigue-related processes inherent in it account for the curvilinearity of the power-endurance relationship.
A James; S Green
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Publication Detail:
Type:  Journal Article     Date:  2012-09-27
Journal Detail:
Title:  Journal of applied physiology (Bethesda, Md. : 1985)     Volume:  113     ISSN:  1522-1601     ISO Abbreviation:  J. Appl. Physiol.     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-16     Completed Date:  2013-04-29     Revised Date:  2013-09-26    
Medline Journal Info:
Nlm Unique ID:  8502536     Medline TA:  J Appl Physiol (1985)     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1643-51     Citation Subset:  IM    
Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
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MeSH Terms
Models, Biological*
Muscle Contraction*
Muscle Fatigue*
Muscle Strength*
Muscle, Skeletal / innervation,  metabolism,  physiology*
Oxygen Consumption
Physical Endurance*
Recruitment, Neurophysiological
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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