Literature DB >> 23006833

An approach to estimating gross efficiency during high-intensity exercise.

Jos J de Koning1, Dionne A Noordhof, Tom P Uitslag, Rianna E Galiart, Christopher Dodge, Carl Foster.   

Abstract

PURPOSE: Gross efficiency (GE) is coupling power production to propulsion and is an important performance-determining factor in endurance sports. Measuring GE normally requires measuring VO(2) during submaximal exercise. In this study a method is proposed to estimating GE during high-intensity exercise.
METHODS: Nineteen subjects completed a maximal incremental test and 2 GE tests (1 experimental and 1 control test). The GE test consisted of 10 min cycling at 50% peak power output (PPO), 2 min at 25 W, followed by 4 min 100% PPO, 1 min at 25 W, and another 10 min at 50% PPO. GE was determined for the 50%-PPO sections and was, for the second 50%-PPO section, back-extrapolated, using linear regression, to the end of the 100%-PPO bout.
RESULTS: Back-extrapolation of the GE data resulted in a calculated GE of 15.8% ± 1.7% at the end of the 100%-PPO bout, in contrast to 18.3% ± 1.3% during the final 2 min of the first 10-min 50%-PPO bout.
CONCLUSION: Back-extrapolation seems valuable in providing more insight in GE during high-intensity exercise.

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Mesh:

Year:  2012        PMID: 23006833     DOI: 10.1123/ijspp.8.6.682

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  4 in total

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Journal:  PLoS One       Date:  2017-06-15       Impact factor: 3.240

3.  The Anaerobic Capacity of Cross-Country Skiers: The Effect of Computational Method and Skiing Sub-technique.

Authors:  Erik P Andersson; Dionne A Noordhof; Nestor Lögdal
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Review 4.  Crossing the Golden Training Divide: The Science and Practice of Training World-Class 800- and 1500-m Runners.

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Journal:  Sports Med       Date:  2021-05-21       Impact factor: 11.136

  4 in total

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