Literature DB >> 24022574

High agreement between laboratory and field estimates of critical power in cycling.

B Karsten1, S A Jobson2, J Hopker3, A Jimenez4, C Beedie5.   

Abstract

The purpose of this study was to investigate the level of agreement between laboratory-based estimates of critical power (CP) and results taken from a novel field test. Subjects were fourteen trained cyclists (age 40±7 yrs; body mass 70.2±6.5 kg; VO2max 3.8±0.5 L · min-1). Laboratory-based CP was estimated from 3 constant work-rate tests at 80%, 100% and 105% of maximal aerobic power (MAP). Field-based CP was estimated from 3 all-out tests performed on an outdoor velodrome over fixed durations of 3, 7 and 12 min. Using the linear work limit (Wlim) vs. time limit (Tlim) relation for the estimation of CP1 values and the inverse time (1/t) vs. power (P) models for the estimation of CP2 values, field-based CP1 and CP2 values did not significantly differ from laboratory-based values (234±24.4 W vs. 234±25.5 W (CP1); P<0.001; limits of agreement [LOA], -10.98-10.8 W and 236±29.1 W vs. 235±24.1 W (CP2); P<0.001; [LOA], -13.88-17.3 W. Mean prediction errors for laboratory and field estimates were 2.2% (CP) and 27% (W'). Data suggest that employing all-out field tests lasting 3, 7 and 12 min has potential utility in the estimation of CP. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2013        PMID: 24022574     DOI: 10.1055/s-0033-1349844

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  8 in total

1.  Validity and reliability of critical power field testing.

Authors:  B Karsten; S A Jobson; J Hopker; L Stevens; C Beedie
Journal:  Eur J Appl Physiol       Date:  2014-09-27       Impact factor: 3.078

Review 2.  Determination of Critical Power Using Different Possible Approaches among Endurance Athletes: A Review.

Authors:  Lucie Lipková; Michal Kumstát; Ivan Struhár
Journal:  Int J Environ Res Public Health       Date:  2022-06-21       Impact factor: 4.614

3.  Prediction of Critical Power and W' in Hypoxia: Application to Work-Balance Modelling.

Authors:  Nathan E Townsend; David S Nichols; Philip F Skiba; Sebastien Racinais; Julien D Périard
Journal:  Front Physiol       Date:  2017-03-23       Impact factor: 4.566

4.  Considerations on the Assessment and Use of Cycling Performance Metrics and their Integration in the Athlete's Biological Passport.

Authors:  Paolo Menaspà; Chris R Abbiss
Journal:  Front Physiol       Date:  2017-11-09       Impact factor: 4.566

5.  Decoupling of Internal and External Workload During a Marathon: An Analysis of Durability in 82,303 Recreational Runners.

Authors:  Barry Smyth; Ed Maunder; Samuel Meyler; Ben Hunter; Daniel Muniz-Pumares
Journal:  Sports Med       Date:  2022-05-05       Impact factor: 11.928

6.  Peak Running Velocity or Critical Speed Under Field Conditions: Which Best Predicts 5-km Running Performance in Recreational Runners?

Authors:  Diogo Hilgemberg Figueiredo; Diego Hilgemberg Figueiredo; Francisco de Assis Manoel; Fabiana Andrade Machado
Journal:  Front Physiol       Date:  2021-07-06       Impact factor: 4.566

7.  Reliability of the parameters of the power-duration relationship using maximal effort time-trials under laboratory conditions.

Authors:  Christoph Triska; Bettina Karsten; Bernd Heidegger; Bernhard Koller-Zeisler; Bernhard Prinz; Alfred Nimmerichter; Harald Tschan
Journal:  PLoS One       Date:  2017-12-15       Impact factor: 3.240

8.  The Validity of Functional Threshold Power and Maximal Oxygen Uptake for Cycling Performance in Moderately Trained Cyclists.

Authors:  Arne Sørensen; Tore Kristian Aune; Vegar Rangul; Terje Dalen
Journal:  Sports (Basel)       Date:  2019-10-01
  8 in total

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