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Wolverhampton Intellectual Repository and E-Theses > Research Institutes > Research Institute in Healthcare Science > Sport, Exercise and Health Research Group > Allometric scaling of uphill cycling performance

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/35254
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Title: Allometric scaling of uphill cycling performance
Authors: Jobson, Simon A.
Woodside, J.
Passfield, L.
Nevill, Alan M.
Citation: International Journal of Sports Medicine, 29(9): 753-757
Publisher: Georg Thieme Verlag
Journal: International Journal of Sports Medicine
Issue Date: 2008
URI: http://hdl.handle.net/2436/35254
DOI: 10.1055/s-2007-989441
PubMed ID: 18213539
Additional Links: http://www.thieme-connect.com/DOI/DOI?10.1055/s-2007-989441
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.
Type: Article
Language: en
Keywords: Allometric modelling
Body Size
Road cycling
Oxygen uptake
Road cycling
Power output
Cycling
ISSN: 0172-4622
Appears in Collections: Sport, Exercise and Health Research Group
Sport Performance
Learning and Teaching in Sport, Exercise and Performance

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