Literature DB >> 1761017

Can cycle power predict sprint running performance?

G J van Ingen Schenau1, R Jacobs, J J de Koning.   

Abstract

A major criticism of present models of the energetics and mechanics of sprint running concerns the application of estimates of parameters which seem to be adapted from measurements of running during actual competitions. This study presents a model which does not perpetuate this solecism. Using data obtained during supra-maximal cycle ergometer tests of highly trained athletes, the kinetics of the anaerobic and aerobic pathways were modelled. Internal power wasted in the acceleration and deceleration of body limbs and the power necessary to overcome air friction was calculated from data in the literature. Assuming a mechanical efficiency as found during submaximal cycling, a power equation was constructed which also included the power necessary to accelerate the body at the start of movement. The differential equation thus obtained was solved through simulation. The model appeared to predict realistic times at 100 m (10.47 s), 200 m (19.63 s) and 400 m (42.99 s) distances. By comparison with other methods it is argued that power equations of locomotion should include the concept of mechanical efficiency.

Mesh:

Year:  1991        PMID: 1761017     DOI: 10.1007/bf00233857

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  20 in total

1.  Power equations in endurance sports.

Authors:  G J van Ingen Schenau; P R Cavanagh
Journal:  J Biomech       Date:  1990       Impact factor: 2.712

2.  The effect of athletic clothing aerodynamics upon running speed.

Authors:  C R Kyle; V J Caiozzo
Journal:  Med Sci Sports Exerc       Date:  1986-10       Impact factor: 5.411

3.  An energy 'sources' and 'fractions' approach to the mechanical energy expenditure problem--I. Basic concepts, description of the model, analysis of a one-link system movement.

Authors:  S Y Aleshinsky
Journal:  J Biomech       Date:  1986       Impact factor: 2.712

4.  Kinetics of oxygen uptake and recovery for supramaximal work of short duration.

Authors:  V L Katch
Journal:  Int Z Angew Physiol       Date:  1973-03-02

5.  Analysis of the velocity curve in sprint running.

Authors:  N I Volkov; V I Lapin
Journal:  Med Sci Sports       Date:  1979

6.  A mathematical theory of running, based on the first law of thermodynamics, and its application to the performance of world-class athletes.

Authors:  A J Ward-Smith
Journal:  J Biomech       Date:  1985       Impact factor: 2.712

7.  A model for the calculation of mechanical power during distance running.

Authors:  K R Williams; P R Cavanagh
Journal:  J Biomech       Date:  1983       Impact factor: 2.712

8.  The influence of air friction in speed skating.

Authors:  G J van Ingen Schenau
Journal:  J Biomech       Date:  1982       Impact factor: 2.712

9.  Mathematical representation of the velocity curve of sprint running.

Authors:  R H Morton
Journal:  Can J Appl Sport Sci       Date:  1985-12

10.  Mathematical analysis of running performance and world running records.

Authors:  F Péronnet; G Thibault
Journal:  J Appl Physiol (1985)       Date:  1989-07
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  10 in total

Review 1.  The energy cost of sprint running and the role of metabolic power in setting top performances.

Authors:  Pietro E di Prampero; Alberto Botter; Cristian Osgnach
Journal:  Eur J Appl Physiol       Date:  2014-12-31       Impact factor: 3.078

Review 2.  Methods of Power-Force-Velocity Profiling During Sprint Running: A Narrative Review.

Authors:  Matt R Cross; Matt Brughelli; Pierre Samozino; Jean-Benoit Morin
Journal:  Sports Med       Date:  2017-07       Impact factor: 11.136

3.  A comparison between the force-velocity relationships of unloaded and sled-resisted sprinting: single vs. multiple trial methods.

Authors:  Matt R Cross; Pierre Samozino; Scott R Brown; Jean-Benoît Morin
Journal:  Eur J Appl Physiol       Date:  2018-01-04       Impact factor: 3.078

4.  Relationships between postcompetition blood lactate concentration and average running velocity over 100-m and 200-m races.

Authors:  C A Hautier; D Wouassi; L M Arsac; E Bitanga; P Thiriet; J R Lacour
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1994

Review 5.  Optimisation of sprinting performance in running, cycling and speed skating.

Authors:  G J van Ingen Schenau; J J de Koning; G de Groot
Journal:  Sports Med       Date:  1994-04       Impact factor: 11.136

Review 6.  Energy system interaction and relative contribution during maximal exercise.

Authors:  P B Gastin
Journal:  Sports Med       Date:  2001       Impact factor: 11.136

Review 7.  Factors limiting maximal performance in humans.

Authors:  Pietro Enrico di Prampero
Journal:  Eur J Appl Physiol       Date:  2003-08-09       Impact factor: 3.078

8.  Hyperoxia improves 20 km cycling time trial performance by increasing muscle activation levels while perceived exertion stays the same.

Authors:  Ross Tucker; Bengt Kayser; Erin Rae; Laurie Raunch; Andrew Bosch; Timothy Noakes
Journal:  Eur J Appl Physiol       Date:  2007-12       Impact factor: 3.078

9.  Using the power balance model to simulate cross-country skiing on varying terrain.

Authors:  John F Moxnes; Oyvind Sandbakk; Kjell Hausken
Journal:  Open Access J Sports Med       Date:  2014-05-07

10.  A simulation of cross-country skiing on varying terrain by using a mathematical power balance model.

Authors:  John F Moxnes; Oyvind Sandbakk; Kjell Hausken
Journal:  Open Access J Sports Med       Date:  2013-05-16
  10 in total

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