Critical Power Closely Approximates the Power Output at the Estimated Maximal Metabolic Steady State in Trained and Untrained Participants

These findings indicate that, despite a significant (albeit small) difference between CP and MMSS est , the CP model provided a close approximation of the PO associated with MMSS est in both untrained and trained participants, as the difference in PO was within the expected measurement error. Therefore, our results showed that, despite some small discrepancies between groups, the CP model fitting was not affected by training status and that previous testing experience with highly demanding exercise is not a key component of the quality of the prediction model.

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Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-05-29
DOI
https://doi.org/10.1249/mss.0000000000003765
Citations
2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
3.44
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article

Critical Power Closely Approximates the Power Output at the Estimated Maximal Metabolic Steady State in Trained and Untrained Participants

Letizia Rasica, BRYNN E. A. LINDSTROM, Juan Manuel Murias, Alessandro Moura Zagatto et al.
2 citations
Medicine & Science in Sports & Exercise
Sports Performance and Training
3.44
article

Critical Power Closely Approximates the Power Output at the Estimated Maximal Metabolic Steady State in Trained and Untrained Participants

Letizia Rasica, BRYNN E. A. LINDSTROM, Juan Manuel Murias, Alessandro Moura Zagatto, Pablo R. Fleitas‐Paniagua, Gabriele Marinari
article en
2 citations

Abstract

These findings indicate that, despite a significant (albeit small) difference between CP and MMSS est , the CP model provided a close approximation of the PO associated with MMSS est in both untrained and trained participants, as the difference in PO was within the expected measurement error. Therefore, our results showed that, despite some small discrepancies between groups, the CP model fitting was not affected by training status and that previous testing experience with highly demanding exercise is not a key component of the quality of the prediction model.

Medicine & Science in Sports & ExerciseVol. 57(10)
University of Lethbridge (CA), University of Calgary (CA), Hamad bin Khalifa University (QA), Health & Life (Taiwan) (TW), Universidade Estadual Paulista (Unesp) (BR)
Affordable and clean energy
Openalex Percentile: Top 9%
Sports Performance and Training
3.44
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