Show simple item record

dc.contributor.authorNevill, Alan M.
dc.contributor.authorJobson, Simon A.
dc.contributor.authorPalmer, G.S.
dc.contributor.authorOlds, Tim
dc.date.accessioned2007-01-25T16:03:07Z
dc.date.available2007-01-25T16:03:07Z
dc.date.issued2005
dc.identifier.citationEuropean Journal of Applied Physiology, 94(5-6): 705-710
dc.identifier.issn1439-6319
dc.identifier.pmid15906080
dc.identifier.doi10.1007/s00421-005-1321-8
dc.identifier.urihttp://hdl.handle.net/2436/7755
dc.description.abstractThe 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.
dc.format.extent282770 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Berlin / Heidelberg
dc.relation.urlhttp://www.springerlink.com/content/j863561v70228548/
dc.subjectPerformance measurement
dc.subjectSports Medicine
dc.subjectPower output
dc.subjectAllometric modelling
dc.subjectCycling
dc.subjectBody mass
dc.subjectWind resistance
dc.titleScaling maximal oxygen uptake to predict cycling time-trial performance in the field: a non-linear approach.
dc.typeJournal article
dc.format.digYES
refterms.dateFOA2018-08-21T15:54:43Z
html.description.abstractThe 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.


Files in this item

Thumbnail
Name:
Nevill2.pdf
Size:
276.1Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record