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Wolverhampton Intellectual Repository and E-Theses > School of Sport, Performing Arts and Leisure > Research Centre for Sport, Exercise and Performance > Sport Performance > Optimal power-to-mass ratios when predicting flat and hill-climbing time-trial cycling.

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Title: Optimal power-to-mass ratios when predicting flat and hill-climbing time-trial cycling.
Other Titles: Cycling
Authors: Nevill, Alan M.
Jobson, Simon A.
Davison, R.C.R.
Jeukendrup, A.E.
Citation: European Journal of Applied Physiology, 97(4): 424-431
Publisher: Springer Berlin / Heidelberg
Journal: European Journal of Applied Physiology
Issue Date: 2006
DOI: 10.1007/s00421-006-0189-6
PubMed ID: 16685550
Additional Links:
Abstract: The purpose of this article was to establish whether previously reported oxygen-to-mass ratios, used to predict flat and hill-climbing cycling performance, extend to similar power-to-mass ratios incorporating other, often quick and convenient measures of power output recorded in the laboratory [maximum aerobic power (W(MAP)), power output at ventilatory threshold (W(VT)) and average power output (W(AVG)) maintained during a 1 h performance test]. A proportional allometric model was used to predict the optimal power-to-mass ratios associated with cycling speeds during flat and hill-climbing cycling. The optimal models predicting flat time-trial cycling speeds were found to be (W(MAP)m(-0.48))(0.54), (W(VT)m(-0.48))(0.46) and (W(AVG)m(-0.34))(0.58) that explained 69.3, 59.1 and 96.3% of the variance in cycling speeds, respectively. Cross-validation results suggest that, in conjunction with body mass, W(MAP) can provide an accurate and independent prediction of time-trial cycling, explaining 94.6% of the variance in cycling speeds with the standard deviation about the regression line, s=0.686 km h(-1). Based on these models, there is evidence to support that previously reported VO2-to-mass ratios associated with flat cycling speed extend to other laboratory-recorded measures of power output (i.e. Wm(-0.32)). However, the power-function exponents (0.54, 0.46 and 0.58) would appear to conflict with the assumption that the cyclists' speeds should be proportional to the cube root (0.33) of power demand/expended, a finding that could be explained by other confounding variables such as bicycle geometry, tractional resistance and/or the presence of a tailwind. The models predicting 6 and 12% hill-climbing cycling speeds were found to be proportional to (W(MAP)m(-0.91))(0.66), revealing a mass exponent, 0.91, that also supports previous research.
Type: Article
Language: en
Keywords: Time-trial cycling
Power output
Sports Medicine
Speed measurement
Performance measurement
ISSN: 1439-6319
Appears in Collections: Sport, Exercise and Health Research Group
Sport Performance
Learning and Teaching in Sport, Exercise and Performance

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