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Allometric Scaling of Uphill Cycling Performance

Abstract Previous laboratory-based investigations have identified optimal body mass scaling exponents in the range 0.79 – 0.91 for uphill cycling. The purpose of this investigation was to evaluate whether or not these exponents are also valid in a field setting. A proportional allometric model was u...

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Bibliographic Details
Published in:International journal of sports medicine 2008-09, Vol.29 (9), p.753-757
Main Authors: Jobson, S. A., Woodside, J., Passfield, L., Nevill, A. M.
Format: Article
Language:English
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Summary:Abstract Previous laboratory-based investigations have identified optimal body mass scaling exponents in the range 0.79 – 0.91 for uphill cycling. The purpose of this investigation was to evaluate whether or not these exponents are also valid in a field setting. A proportional allometric model was used to predict the optimal power-to-mass ratios associated with road-based uphill time-trial cycling performance. The optimal power function models predicting mean cycle speed during a 5.3 km, 5.4 % road hill-climb time-trial were (V˙O 2max  · m −1.24 ) 0.55 and (RMP max  · m −1.04 ) 0.54 , explained variance being 84.6 % and 70.5 %, respectively. Slightly higher mass exponents were observed when the mass predictor was replaced with the combined mass of cyclist and equipment (m C ). Uphill cycling speed was proportional to (V˙O 2max  · m C −1.33 ) 0.57 and (RMP max  · m C −1.10 ) 0.59 . The curvilinear exponents, 0.54 – 0.59, identified a relatively strong curvilinear relationship between cycling speed and energy cost, suggesting that air resistance remains influential when cycling up a gradient of 5.4 %. These results provide some support for previously reported uphill cycling mass exponents derived in laboratories. However, the exponents reported here were a little higher than those reported previously, a finding possibly explained by a lack of geometric similarity in this sample.
ISSN:0172-4622
1439-3964
DOI:10.1055/s-2007-989441