Literature DB >> 34618981

Over 55 years of critical power: Fact or artifact?

Esteban M Gorostiaga1, Luis Sánchez-Medina1, Ibai Garcia-Tabar2,3.   

Abstract

This report aims to generate an evidence-based debate of the Critical Power (CP), or its analogous Critical Speed (CS), concept. Race times of top Spanish runners were utilized to calculate CS based on three (1500-m to 5000-m; CS1.5-5km ) and four (1500-m to 10000-m; CS1.5-10km ) distance performances. Male running world records from 1000 to 5000-m (CS1-5km ), 1000 to 10,000-m (CS1-10km ), 1000-m to half marathon (CS1km-half marathon ), and 1000-m to marathon (CS1km-marathon ) distance races were also utilized for CS calculations. CS1.5-5km (19.62 km h-1 ) and CS1.5-10km (18.68 km h-1 ) were different (p < 0.01), but both approached the average race speed of the longest distance chosen in the model, and were remarkably homogeneous among subjects (97% ±1% and 98% ±1%, respectively). Similar results were obtained using the world records. CS values progressively declined, until reaching a CS1km-marathon value of 20.77 km h-1 (10% lower than CS1-5km ). Each CS value approached the average speed of the longest distance chosen in the model (96.4%-99.8%). A power function better fitted the speed-time relationship compared with the standardized hyperbolic function. However, the horizontal asymptote of a power function is zero. This better approaches the classical definition of CP: the power output that can be maintained almost indefinitely without exhaustion. Beyond any sophisticated mathematical calculation, CS corresponds to 95%-99% of the average speed of the longest distance chosen as an exercise trial. CP could be considered a mathematical artifact rather than an important endurance performance marker. In such a case, the consideration of CP as a physiological "gold-standard" should be reevaluated.
© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  aerobic assessment; endurance performance limit; exercise intensity domains; fatigue; maximal lactate steady state (MLSS); maximal metabolic steady state (MMSS); metabolism

Mesh:

Year:  2021        PMID: 34618981     DOI: 10.1111/sms.14074

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  2 in total

1.  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

2.  Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions?

Authors:  Jérémy Briand; Jonathan Tremblay; Guy Thibault
Journal:  Sports (Basel)       Date:  2022-01-06
  2 in total

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