Literature DB >> 17786683

Cycling power output produced during flat and mountain stages in the Giro d'Italia: a case study.

Stefan Vogt1, Yorck Olaf Schumacher, Andreas Blum, Kai Roecker, Hans-Hermann Dickhuth, Andreas Schmid, Lothar Heinrich.   

Abstract

Until recently, the physiological demands of cycling competitions were mostly reflected by the measurement of heart rate and the indirect estimation of exercise intensity. The purpose of this case study was to illustrate the varying power output of a professional cyclist during flat and mountain stages of a Grand Tour (Giro d'Italia). Nine stage recordings of a cyclist of the 2005 Giro d'Italia were monitored using a mobile power measurement device (SRM Trainingssystem, Julich, Germany), which recorded direct power output and heart rate. Stages were categorized into flat (n = 5) and mountain stages (n = 4). Data were processed electronically, and the overall mean power in flat and mountain stages and maximal mean power for various durations were calculated. Mean power output was 132 W +/- 26 (2.0 W x kg(-1) +/- 0.4) for the flat and 235 W +/- 10 (3.5 W x kg(-1) +/- 0.1) for the mountain stages. Mountain stages showed higher maximal mean power (367 W) for longer durations (1800 s) than flat stages (239 W). Flat stages are characterized by a large variability of power output with short bursts of high power and long periods with reduced intensity of exercise, whereas mountain stages mostly require submaximal, constant power output over longer periods.

Mesh:

Year:  2007        PMID: 17786683     DOI: 10.1080/02640410601001632

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  6 in total

1.  Impact of Altitude on Power Output during Cycling Stage Racing.

Authors:  Laura A Garvican-Lewis; Bradley Clark; David T Martin; Yorck Olaf Schumacher; Warren McDonald; Brian Stephens; Fuhai Ma; Kevin G Thompson; Christopher J Gore; Paolo Menaspà
Journal:  PLoS One       Date:  2015-12-02       Impact factor: 3.240

Review 2.  Using Field Based Data to Model Sprint Track Cycling Performance.

Authors:  Hamish A Ferguson; Chris Harnish; J Geoffrey Chase
Journal:  Sports Med Open       Date:  2021-03-16

Review 3.  Power profiling and the power-duration relationship in cycling: a narrative review.

Authors:  Peter Leo; James Spragg; Tim Podlogar; Justin S Lawley; Iñigo Mujika
Journal:  Eur J Appl Physiol       Date:  2021-10-27       Impact factor: 3.078

Review 4.  Caveats and Recommendations to Assess the Validity and Reliability of Cycling Power Meters: A Systematic Scoping Review.

Authors:  Anthony Bouillod; Georges Soto-Romero; Frederic Grappe; William Bertucci; Emmanuel Brunet; Johan Cassirame
Journal:  Sensors (Basel)       Date:  2022-01-05       Impact factor: 3.576

5.  Bi-exponential modelling of [Formula: see text] reconstitution kinetics in trained cyclists.

Authors:  Alan Chorley; Richard P Bott; Simon Marwood; Kevin L Lamb
Journal:  Eur J Appl Physiol       Date:  2021-12-18       Impact factor: 3.078

6.  Physiological and anthropometric determinants of critical power, W' and the reconstitution of W' in trained and untrained male cyclists.

Authors:  Alan Chorley; Richard P Bott; Simon Marwood; Kevin L Lamb
Journal:  Eur J Appl Physiol       Date:  2020-08-09       Impact factor: 3.078

  6 in total

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