Document Detail

Scaling maximal oxygen uptake to predict cycling time-trial performance in the field: a non-linear approach.
MedLine Citation:
PMID:  15906080     Owner:  NLM     Status:  MEDLINE    
The purpose of the present article is to identify the most appropriate method of scaling VO2max for differences in body mass when assessing the energy cost of time-trial cycling. The data from three time-trial cycling studies were analysed (N = 79) using a proportional power-function ANCOVA model. The maximum oxygen uptake-to-mass ratio found to predict cycling speed was VO2max(m)(-0.32) precisely the same as that derived by Swain for sub-maximal cycling speeds (10, 15 and 20 mph). The analysis was also able to confirm a proportional curvilinear association between cycling speed and energy cost, given by (VO2max(m)(-0.32))0.41. The model predicts, for example, that for a male cyclist (72 kg) to increase his average speed from 30 km h(-1) to 35 km h(-1), he would require an increase in VO2max from 2.36 l min(-1) to 3.44 l min(-1), an increase of 1.08 l min(-1). In contrast, for the cyclist to increase his mean speed from 40 km h(-1) to 45 km h(-1), he would require a greater increase in VO2max from 4.77 l min(-1) to 6.36 l min(-1), i.e. an increase of 1.59 l min(-1). The model is also able to accommodate other determinants of time-trial cycling, e.g. the benefit of cycling with a side wind (5% faster) compared with facing a predominately head/tail wind (P<0.05). Future research could explore whether the same scaling approach could be applied to, for example, alternative measures of recording power output to improve the prediction of time-trial cycling performance.
A M Nevill; S A Jobson; G S Palmer; T S Olds
Publication Detail:
Type:  Clinical Trial; Controlled Clinical Trial; Journal Article     Date:  2005-05-20
Journal Detail:
Title:  European journal of applied physiology     Volume:  94     ISSN:  1439-6319     ISO Abbreviation:  Eur. J. Appl. Physiol.     Publication Date:  2005 Aug 
Date Detail:
Created Date:  2005-07-26     Completed Date:  2005-10-20     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  100954790     Medline TA:  Eur J Appl Physiol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  705-10     Citation Subset:  IM    
Research Institute of Healthcare Sciences, University of Wolverhampton, Walsall, West Midlands, England.
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MeSH Terms
Anthropometry / methods*
Bicycling / physiology*
Body Mass Index*
Computer Simulation
Diagnosis, Computer-Assisted / methods
Energy Metabolism / physiology*
Models, Biological
Nonlinear Dynamics
Oxygen Consumption / physiology*
Physical Endurance / physiology*
Physical Exertion / physiology
Task Performance and Analysis*

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

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