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

Overview of attention for article published in European Journal of Applied Physiology, June 2007
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Title
Maximal torque- and power-pedaling rate relationships for elite sprint cyclists in laboratory and field tests
Published in
European Journal of Applied Physiology, June 2007
DOI 10.1007/s00421-007-0498-4
Pubmed ID
Authors

A. Scott Gardner, 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.

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Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Netherlands 1 <1%
Italy 1 <1%
France 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 184 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 18%
Student > Master 35 18%
Student > Bachelor 28 15%
Other 15 8%
Researcher 15 8%
Other 36 19%
Unknown 27 14%
Readers by discipline Count As %
Sports and Recreations 102 53%
Engineering 19 10%
Medicine and Dentistry 9 5%
Agricultural and Biological Sciences 6 3%
Nursing and Health Professions 4 2%
Other 20 10%
Unknown 31 16%