Literature DB >> 17562069

Maximal torque- and power-pedaling rate relationships for elite sprint cyclists in laboratory and field tests.

A Scott Gardner1, James C Martin, David T Martin, Martin Barras, David G Jenkins.   

Abstract

Performance models provide an opportunity to examine cycling in a broad parameter space. Variables used to drive such models have traditionally been measured in the laboratory. The assumption, however, that maximal laboratory power is similar to field power has received limited attention. The purpose of the study was to compare the maximal torque- and power-pedaling rate relationships during "all-out" sprints performed on laboratory ergometers and on moving bicycles with elite cyclists. Over a 3-day period, seven male (mean +/- SD; 180.0 +/- 3.0 cm; 86.2 +/- 6.1 kg) elite track cyclists completed two maximal 6 s cycle ergometer trials and two 65 m sprints on a moving bicycle; calibrated SRM powermeters were used and data were analyzed per revolution to establish torque- and power-pedaling rate relationships, maximum power, maximum torque and maximum pedaling rate. The inertial load of our laboratory test was (37.16 +/- 0.37 kg m(2)), approximately half as large as the field trials (69.7 +/- 3.8 kg m(2)). There were no statistically significant differences between laboratory and field maximum power (1791 +/- 169; 1792 +/- 156 W; P = 0.863), optimal pedaling rate (128 +/- 7; 129 +/- 9 rpm; P = 0.863), torque-pedaling rate linear regression slope (-1.040 +/- 0.09; -1.035 +/- 0.10; P = 0.891) and maximum torque (266 +/- 20; 266 +/- 13 Nm; P = 0.840), respectively. Similar torque- and power-pedaling rate relationships were demonstrated in laboratory and field settings. The findings suggest that maximal laboratory data may provide an accurate means of modeling cycling performance.

Mesh:

Year:  2007        PMID: 17562069     DOI: 10.1007/s00421-007-0498-4

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  16 in total

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2.  Fatigue and optimal conditions for short-term work capacity.

Authors:  Brian R MacIntosh; Krista Svedahl; Minhan Kim
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3.  Torque and power-velocity relationships in cycling: relevance to track sprint performance in world-class cyclists.

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Journal:  Int J Sports Med       Date:  2005-11       Impact factor: 3.118

4.  Differences between sprint tests under laboratory and actual cycling conditions.

Authors:  W Bertucci; R Taiar; F Grappe
Journal:  J Sports Med Phys Fitness       Date:  2005-09       Impact factor: 1.637

5.  Inertial-load method determines maximal cycling power in a single exercise bout.

Authors:  J C Martin; B M Wagner; E F Coyle
Journal:  Med Sci Sports Exerc       Date:  1997-11       Impact factor: 5.411

6.  Maximal mechanical power output and capacity of cyclists and young adults.

Authors:  C T Davies; E R Sandstrom
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1989

7.  Ergometric and metabolic adaptation to a 5-s sprint training programme.

Authors:  M T Linossier; C Denis; D Dormois; A Geyssant; J R Lacour
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1993

8.  Maximum leg force and power output during short-term dynamic exercise.

Authors:  A J Sargeant; E Hoinville; A Young
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1981-11

9.  Standing and seated Wingate protocols in human cycling. A comparison of standard parameters.

Authors:  Raoul F Reiser; Joseph M Maines; Joey C Eisenmann; John G Wilkinson
Journal:  Eur J Appl Physiol       Date:  2002-09-10       Impact factor: 3.078

10.  Accuracy of SRM and power tap power monitoring systems for bicycling.

Authors:  Andrew S Gardner; Shaun Stephens; David T Martin; Evan Lawton; Hamilton Lee; David Jenkins
Journal:  Med Sci Sports Exerc       Date:  2004-07       Impact factor: 5.411

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  12 in total

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Journal:  Eur J Appl Physiol       Date:  2011-11-02       Impact factor: 3.078

2.  Aerobic power and peak power of elite America's Cup sailors.

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Review 4.  The measurement of maximal (anaerobic) power output on a cycle ergometer: a critical review.

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Journal:  Biomed Res Int       Date:  2013-08-29       Impact factor: 3.411

5.  Power-cadence relationship in endurance cycling.

Authors:  Umberto Emanuele; Jachen Denoth
Journal:  Eur J Appl Physiol       Date:  2011-05-15       Impact factor: 3.078

6.  Does a non-circular chainring improve performance in the bicycle motocross cycling start sprint?

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Journal:  J Sports Sci Med       Date:  2014-01-20       Impact factor: 2.988

Review 7.  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 8.  Maximal muscular power: lessons from sprint cycling.

Authors:  Jamie Douglas; Angus Ross; James C Martin
Journal:  Sports Med Open       Date:  2021-07-15

9.  Anaerobic Power Assessment in Athletes: Are Cycling and Vertical Jump Tests Interchangeable?

Authors:  Micah Gross; Fabian Lüthy
Journal:  Sports (Basel)       Date:  2020-05-09

10.  Relationship between Cyclic and Non-Cyclic Force-Velocity Characteristics in BMX Cyclists.

Authors:  Micah Gross; Thomy Gross
Journal:  Sports (Basel)       Date:  2019-11-09
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