Literature DB >> 23247716

Effect of gradient on cycling gross efficiency and technique.

Marco Arkesteijn1, Simon A Jobson, James Hopker, Louis Passfield.   

Abstract

PURPOSE: The purpose of this study was to determine the effect of gradient on cycling gross efficiency and pedaling technique.
METHODS: Eighteen trained cyclists were tested for efficiency, index of pedal force effectiveness (IFE), distribution of power production during the pedal revolution (dead center size [DC]), and timing and level of muscle activity of eight leg muscles. Cycling was performed on a treadmill at gradients of 0% (level), 4%, and 8%, each at three different cadences (60, 75, and 90 rev·min).
RESULTS: Efficiency was significantly decreased at a gradient of 8% compared with both 0% and 4% (P < 0.05). The relationship between cadence and efficiency was not changed by gradient (P > 0.05). At a gradient of 8%, there was a larger IFE between 45° and 225° and larger DC, compared with 0% and 4% (P < 0.05). The onset of muscle activity for vastus lateralis, vastus medialis, gastrocnemius lateralis, and gastrocnemius medialis occurred earlier with increasing gradient (all P < 0.05), whereas none of the muscles showed a change in offset (P > 0.05). Uphill cycling increased the overall muscle activity level (P < 0.05), mainly induced by increased calf muscle activity.
CONCLUSIONS: These results suggest that uphill cycling decreases cycling gross efficiency and is associated with changes in pedaling technique.

Entities:  

Mesh:

Year:  2013        PMID: 23247716     DOI: 10.1249/MSS.0b013e31827d1bdb

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  4 in total

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Authors:  Jesús G Pallarés; José Ramón Lillo-Bevia
Journal:  J Sports Sci Med       Date:  2018-05-14       Impact factor: 2.988

2.  Determining optimal cadence for an individual road cyclist from field data.

Authors:  Robert Reed; Philip Scarf; Simon Adrian Jobson; Louis Passfield
Journal:  Eur J Sport Sci       Date:  2016-02-22       Impact factor: 4.050

3.  Phase space methods for non-linear analysis of pedalling forces in cycling.

Authors:  Alexander Kunert; Marcel Ott; Thomas Reuter; Daniel Koska; Christian Maiwald
Journal:  PLoS One       Date:  2019-04-18       Impact factor: 3.240

4.  Everesting: cycling the elevation of the tallest mountain on Earth.

Authors:  Wannes Swinnen; Emily Laughlin; Wouter Hoogkamer
Journal:  Eur J Appl Physiol       Date:  2022-09-05       Impact factor: 3.346

  4 in total

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