Literature DB >> 27531664

Comparison of inter-trial recovery times for the determination of critical power and W' in cycling.

Bettina Karsten1, James Hopker2, Simon A Jobson3, Jonathan Baker4, Luca Petrigna1, Andreas Klose5, Christopher Beedie6.   

Abstract

Critical Power (CP) and W' are often determined using multi-day testing protocols. To investigate this cumbersome testing method, the purpose of this study was to compare the differences between the conventional use of a 24-h inter-trial recovery time with those of 3 h and 30 min for the determination of CP and W'.
METHODS: 9 moderately trained cyclists performed an incremental test to exhaustion to establish the power output associated with the maximum oxygen uptake (p[Formula: see text]max), and 3 protocols requiring time-to-exhaustion trials at a constant work-rate performed at 80%, 100% and 105% of p[Formula: see text]max. Design: Protocol A utilised 24-h inter-trial recovery (CP24/W'24), protocol B utilised 3-h inter-trial recovery (CP3/W'3), and protocol C used 30-min inter-trial recovery period (CP0.5/W'0.5). CP and W' were calculated using the inverse time (1/t) versus power (P) relation (P = W'(1/t) + CP).
RESULTS: 95% Limits of Agreement between protocol A and B were -9 to 15 W; -7.4 to 7.8 kJ (CP/W') and between protocol A and protocol C they were -27 to 22 W; -7.2 to 15.1 kJ (CP/W'). Compared to criterion protocol A, the average prediction error of protocol B was 2.5% (CP) and 25.6% (W'), whilst for protocol C it was 3.7% (CP) and 32.9% (W').
CONCLUSION: 3-h and 30-min inter-trial recovery time protocols provide valid methods of determining CP but not W' in cycling.

Entities:  

Keywords:  Critical intensity; anaerobic work capacity; exercise testing; power-duration relationship; validity

Mesh:

Year:  2016        PMID: 27531664     DOI: 10.1080/02640414.2016.1215500

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  6 in total

Review 1.  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

2.  Strength-Endurance: Interaction Between Force-Velocity Condition and Power Output.

Authors:  Jean Romain Rivière; Nicolas Peyrot; Matthew R Cross; Laurent A Messonnier; Pierre Samozino
Journal:  Front Physiol       Date:  2020-10-09       Impact factor: 4.566

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

Review 4.  Power profiling and the power-duration relationship in cycling: a narrative review.

Authors:  Peter Leo; James Spragg; Tim Podlogar; Justin S Lawley; Iñigo Mujika
Journal:  Eur J Appl Physiol       Date:  2021-10-27       Impact factor: 3.078

5.  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

6.  Exercise Intensity and Pacing Pattern During a Cross-Country Olympic Mountain Bike Race.

Authors:  Steffan Næss; Ove Sollie; Øyvind Nøstdahl Gløersen; Thomas Losnegard
Journal:  Front Physiol       Date:  2021-07-19       Impact factor: 4.566

  6 in total

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