Literature DB >> 17341588

Comparison of nine theoretical models for estimating the mechanical power output in cycling.

Carlos González-Haro1, P A Galilea Ballarini, M Soria, F Drobnic, J F Escanero.   

Abstract

OBJECTIVE: To assess which of the equations used to estimate mechanical power output for a wide aerobic range of exercise intensities gives the closest value to that measured with the SRM training system.
METHODS: Thirty four triathletes and endurance cyclists of both sexes (mean (SD) age 24 (5) years, height 176.3 (6.6) cm, weight 69.4 (7.6) kg and Vo(2)max 61.5 (5.9) ml/kg/min) performed three incremental tests, one in the laboratory and two in the velodrome. The mean mechanical power output measured with the SRM training system in the velodrome tests corresponding to each stage of the tests was compared with the values theoretically estimated using the nine most referenced equations in literature (Whitt (Ergonomics 1971;14:419-24); Di Prampero et al (J Appl Physiol 1979;47:201-6); Whitt and Wilson (Bicycling science. Cambridge: MIT Press, 1982); Kyle (Racing with the sun. Philadelphia: Society of Automotive Engineers, 1991:43-50); Menard (First International Congress on Science and Cycling Skills, Malaga, 1992); Olds et al (J Appl Physiol 1995;78:1596-611; J Appl Physiol 1993;75:730-7); Broker (USOC Sport Science and Technology Report 1-24, 1994); Candau et al (Med Sci Sports Exerc 1999;31:1441-7)). This comparison was made using the mean squared error of prediction, the systematic error and the random error.
RESULTS: The equations of Candau et al, Di Prampero et al, Olds et al (J Appl Physiol 1993;75:730-7) and Whitt gave a moderate mean squared error of prediction (12.7%, 21.6%, 13.2% and 16.5%, respectively) and a low random error (0.5%, 0.6%, 0.7% and 0.8%, respectively).
CONCLUSIONS: The equations of Candau et al and Di Prampero et al give the best estimate of mechanical power output when compared with measurements obtained with the SRM training system.

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Year:  2007        PMID: 17341588      PMCID: PMC2465440          DOI: 10.1136/bjsm.2006.034934

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  18 in total

1.  Peak power predicts performance power during an outdoor 16.1-km cycling time trial.

Authors:  J Balmer; R C Davison; S R Bird
Journal:  Med Sci Sports Exerc       Date:  2000-08       Impact factor: 5.411

2.  Validity and reliability of the Polar S710 mobile cycling powermeter.

Authors:  G P Millet; C Tronche; N Fuster; D J Bentley; R Candau
Journal:  Int J Sports Med       Date:  2003-04       Impact factor: 3.118

3.  Development and evaluation of a new bicycle instrument for measurements of pedal forces and power output in cycling.

Authors:  B Stapelfeldt; G Mornieux; R Oberheim; A Belli; A Gollhofer
Journal:  Int J Sports Med       Date:  2006-10-06       Impact factor: 3.118

4.  Correlations between VO2max and performance times of recreational triathletes.

Authors:  N K Butts; B A Henry; D Mclean
Journal:  J Sports Med Phys Fitness       Date:  1991-09       Impact factor: 1.637

5.  Validity of a velodrome test for competitive road cyclists.

Authors:  S Padilla; I Mujika; G Cuesta; J M Polo; J C Chatard
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

6.  Equation of motion of a cyclist.

Authors:  P E di Prampero; G Cortili; P Mognoni; F Saibene
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1979-07

7.  A note on the estimation of the energy expenditure of sporting cyclists.

Authors:  F R Whitt
Journal:  Ergonomics       Date:  1971-05       Impact factor: 2.778

8.  Modeling road-cycling performance.

Authors:  T S Olds; K I Norton; E L Lowe; S Olive; F Reay; S Ly
Journal:  J Appl Physiol (1985)       Date:  1995-04

9.  Mathematical model of cycling performance.

Authors:  T S Olds; K I Norton; N P Craig
Journal:  J Appl Physiol (1985)       Date:  1993-08

10.  Variability of aerobic performance in the laboratory and its physiologic correlates.

Authors:  H Kuipers; F T Verstappen; H A Keizer; P Geurten; G van Kranenburg
Journal:  Int J Sports Med       Date:  1985-08       Impact factor: 3.118

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  3 in total

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

Review 2.  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

3.  Estimation of an Elite Road Cyclist Performance in Different Positions Based on Numerical Simulations and Analytical Procedures.

Authors:  Pedro Forte; Daniel A Marinho; Tiago M Barbosa; Pedro Morouço; Jorge E Morais
Journal:  Front Bioeng Biotechnol       Date:  2020-05-29
  3 in total

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