• Admin Login
    View Item 
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WIRECommunitiesTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisherThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisher

    Administrators

    Admin Login

    Local Links

    AboutThe University LibraryOpen Access Publications PolicyDeposit LicenceCOREWIRE Copyright and Reuse Information

    Statistics

    Display statistics

    Optimal power-to-mass ratios when predicting flat and hill-climbing time-trial cycling.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Nevilll3.pdf
    Size:
    296.2Kb
    Format:
    PDF
    Download
    Authors
    Nevill, Alan M.
    Jobson, Simon A.
    Davison, R.C.R.
    Jeukendrup, A.E.
    Issue Date
    2006
    Submitted date
    2007-01-25
    
    Metadata
    Show full item record
    Other Titles
    Cycling
    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.
    Citation
    European Journal of Applied Physiology, 97(4): 424-431
    Publisher
    Springer Berlin / Heidelberg
    Journal
    European Journal of Applied Physiology
    URI
    http://hdl.handle.net/2436/7756
    DOI
    10.1007/s00421-006-0189-6
    PubMed ID
    16685550
    Additional Links
    http://www.springerlink.com/content/l140p0304285u540/
    Type
    Journal article
    Language
    en
    ISSN
    1439-6319
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00421-006-0189-6
    Scopus Count
    Collections
    Faculty of Education, Health and Wellbeing

    entitlement

    Related articles

    • Allometric scaling of uphill cycling performance.
    • Authors: Jobson SA, Woodside J, Passfield L, Nevill AM
    • Issue date: 2008 Sep
    • Effect of cycling position on oxygen uptake and preferred cadence in trained cyclists during hill climbing at various power outputs.
    • Authors: Harnish C, King D, Swensen T
    • Issue date: 2007 Mar
    • Influence of hydration status on thermoregulation and cycling hill climbing.
    • Authors: Ebert TR, Martin DT, Bullock N, Mujika I, Quod MJ, Farthing LA, Burke LM, Withers RT
    • Issue date: 2007 Feb
    • Scaling maximal oxygen uptake to predict cycling time-trial performance in the field: a non-linear approach.
    • Authors: Nevill AM, Jobson SA, Palmer GS, Olds TS
    • Issue date: 2005 Aug
    • Power output during a professional men's road-cycling tour.
    • Authors: Ebert TR, Martin DT, Stephens B, Withers RT
    • Issue date: 2006 Dec
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.