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Determining optimal cadence for an individual road cyclist from field data

Reed, RJ; Scarf, PA; Jobson, SA; Passfield, L

Authors

RJ Reed

PA Scarf

SA Jobson

L Passfield



Abstract

The cadence that maximises power output developed at the crank by an individual cyclist is conventionally determined using a
laboratory test. The purpose of this study was two-fold: (i) to show that such a cadence, which we call the optimal cadence, can
be determined using power output, heart-rate, and cadence measured in the field and (ii) to describe methodology to do so.
For an individual cyclist’s sessions, power output is related to cadence and the elicited heart-rate using a non-linear regression
model. Optimal cadences are found for two riders (83 and 70 revolutions per minute, respectively); these cadences are similar
to the riders’ preferred cadences (82–92 rpm and 65–75 rpm). Power output reduces by approximately 6% for cadences 20
rpm above or below optimum. Our methodology can be used by a rider to determine an optimal cadence without laboratory
testing intervention: the rider will need to collect power output, heart-rate, and cadence measurements from training and
racing sessions over an extended period (>6 months); ride at a range of cadences within those sessions; and calculate his/
her optimal cadence using the methodology described or a software tool that implements it.

Journal Article Type Article
Publication Date Feb 22, 2016
Deposit Date Feb 29, 2016
Publicly Available Date Apr 12, 2016
Journal European Journal of Sport Science
Print ISSN 1746-1391
Electronic ISSN 1536-7290
Publisher Taylor and Francis
Volume 16
Issue 8
Pages 903-911
DOI https://doi.org/10.1080/17461391.2016.1146336
Publisher URL http://dx.doi.org/10.1080/17461391.2016.1146336
Related Public URLs http://www.tandfonline.com/toc/tejs20/current#.VtQliq3cvcs
Additional Information Funders : Engineering and Physical Sciences Research Council (EPSRC)
Projects : Modelling Training and Performance in Elite Cyclists; Optimum Strategy in Sport
Grant Number: EP/F006136/1
Grant Number: EP/F005792/1

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