Literature DB >> 15591304

Experimental evaluation of the power balance model of speed skating.

Jos J de Koning1, Carl Foster, Joanne Lampen, Floor Hettinga, Maarten F Bobbert.   

Abstract

Prediction of speed skating performance with a power balance model requires assumptions about the kinetics of energy production, skating efficiency, and skating technique. The purpose of this study was to evaluate these parameters during competitive imitations for the purpose of improving model predictions. Elite speed skaters (n = 8) performed races and submaximal efficiency tests. External power output (P(o)) was calculated from movement analysis and aerodynamic models and ice friction measurements. Aerobic kinetics was calculated from breath-by-breath oxygen uptake (Vo(2)). Aerobic power (P(aer)) was calculated from measured skating efficiency. Anaerobic power (P(an)) kinetics was determined by subtracting P(aer) from P(o). We found gross skating efficiency to be 15.8% (1.8%). In the 1,500-m event, the kinetics of P(an) was characterized by a first-order system as P(an) = 88 + 556e(-0.0494t) (in W, where t is time). The rate constant for the increase in P(aer) was -0.153 s(-1), the time delay was 8.7 s, and the peak P(aer) was 234 W; P(aer) was equal to 234[1 - e(-0.153(t-8.7))] (in W). Skating position changed with preextension knee angle increasing and trunk angle decreasing throughout the event. We concluded the pattern of P(aer) to be quite similar to that reported during other competitive imitations, with the exception that the increase in P(aer) was more rapid. The pattern of P(an) does not appear to fit an "all-out" pattern, with near zero values during the last portion of the event, as assumed in our previous model (De Koning JJ, de Groot G, and van Ingen Schenau GJ. J Biomech 25: 573-580, 1992). Skating position changed in ways different from those assumed in our previous model. In addition to allowing improved predictions, the results demonstrate the importance of observations in unique subjects to the process of model construction.

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Mesh:

Year:  2005        PMID: 15591304     DOI: 10.1152/japplphysiol.01095.2003

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  14 in total

1.  Analysis of a sprint ski race and associated laboratory determinants of world-class performance.

Authors:  Oyvind Sandbakk; Gertjan Ettema; Stig Leirdal; Vidar Jakobsen; Hans-Christer Holmberg
Journal:  Eur J Appl Physiol       Date:  2010-11-16       Impact factor: 3.078

2.  Metabolic rate and gross efficiency at high work rates in world class and national level sprint skiers.

Authors:  Øyvind Sandbakk; Hans-Christer Holmberg; Stig Leirdal; Gertjan Ettema
Journal:  Eur J Appl Physiol       Date:  2010-02-12       Impact factor: 3.078

Review 3.  Performance characteristics of long-track speed skaters: a literature review.

Authors:  Marco J Konings; Marije T Elferink-Gemser; Inge K Stoter; Dirk van der Meer; Egbert Otten; Florentina J Hettinga
Journal:  Sports Med       Date:  2015-04       Impact factor: 11.136

4.  Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways.

Authors:  Jos Vanrenterghem; Niels Jensby Nedergaard; Mark A Robinson; Barry Drust
Journal:  Sports Med       Date:  2017-11       Impact factor: 11.136

Review 5.  Pacing Decision Making in Sport and the Effects of Interpersonal Competition: A Critical Review.

Authors:  Marco J Konings; Florentina J Hettinga
Journal:  Sports Med       Date:  2018-08       Impact factor: 11.136

6.  The between and within day variation in gross efficiency.

Authors:  Dionne A Noordhof; Jos J de Koning; Teun van Erp; Bart van Keimpema; Daan de Ridder; Ruby Otter; Carl Foster
Journal:  Eur J Appl Physiol       Date:  2010-05-13       Impact factor: 3.078

7.  Anaerobic Capacity in Running: The Effect of Computational Method.

Authors:  Erik P Andersson; Glenn Björklund; Kerry McGawley
Journal:  Front Physiol       Date:  2021-08-04       Impact factor: 4.566

8.  Effects of beta-alanine supplementation and interval training on physiological determinants of severe exercise performance.

Authors:  Micah Gross; Chris Boesch; Christine S Bolliger; Barbara Norman; Thomas Gustafsson; Hans Hoppeler; Michael Vogt
Journal:  Eur J Appl Physiol       Date:  2013-11-09       Impact factor: 3.078

9.  The effect of ambient temperature on gross-efficiency in cycling.

Authors:  Florentina J Hettinga; Jos J De Koning; Aukje de Vrijer; Rob C I Wüst; Hein A M Daanen; Carl Foster
Journal:  Eur J Appl Physiol       Date:  2007-07-28       Impact factor: 3.078

10.  How do humans control physiological strain during strenuous endurance exercise?

Authors:  Jonathan Esteve-Lanao; Alejandro Lucia; Jos J deKoning; Carl Foster
Journal:  PLoS One       Date:  2008-08-13       Impact factor: 3.240

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