Literature DB >> 7563294

The relationship between critical power and running performance.

T Kolbe1, S C Dennis, E Selley, T D Noakes, M I Lambert.   

Abstract

Critical power is a theoretical concept that presumes there is a certain work-rate which may be maintained without exhaustion. The extent to which critical power predicts running performance over varying distances has not been determined, and so the aim of this study was to correlate measurements of critical power in the laboratory to running performances in the field at 40 m and 1, 10 and 21.1 km in a group of .17 male long-distance runners (mean +/- S.D. age = 31.7 +/- 7.3 years). Each subject ran to exhaustion on the treadmill in the laboratory at six different speeds, ranging from 17 to 25 km h-1. Least squares analyses were used to fit an exponential decay to the relationship between the running speed (y) versus time to exhaustion (x). Critical power was calculated as the running speed (y) coinciding with the asymptote or C parameter of the y = A.e(-Bx) + C relationship. The VO2 max was also measured in all subjects. For the data in the field, each subject was timed over 40 m and 1 km and participated in 10- and 21.1-km races. The mean critical power of the subjects in this study was 18.5 +/- 1.6 km h-1. The test-retest correlation coefficient for the determination of critical power was r = 0.99. The mean VO2 max, measured in a progressive exercise protocol starting at 13 km h-1 and increasing by 1 km h-1 every minute, was 59.2 +/- 4.6 ml O2 kg-1 min-1.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7563294     DOI: 10.1080/02640419508732236

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


  14 in total

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Authors:  Laurent Bosquet; Luc Léger; Patrick Legros
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Review 2.  The impact of resistance training on distance running performance.

Authors:  Alan P Jung
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

3.  The development of physiological profiles and identification of training needs in NCAA female collegiate rowers using isoperformance curves.

Authors:  David H Fukuda; Kristina L Kendall; Abbie E Smith; Teddi R Dwyer; Jeffrey R Stout
Journal:  Eur J Appl Physiol       Date:  2010-10-21       Impact factor: 3.078

Review 4.  The critical power and related whole-body bioenergetic models.

Authors:  R Hugh Morton
Journal:  Eur J Appl Physiol       Date:  2005-11-12       Impact factor: 3.078

5.  Vmax estimate from three-parameter critical velocity models: validity and impact on 800 m running performance prediction.

Authors:  Laurent Bosquet; Antoine Duchene; François Lecot; Grégory Dupont; Luc Leger
Journal:  Eur J Appl Physiol       Date:  2006-02-09       Impact factor: 3.078

6.  Assessment of short-distance breaststroke swimming performance with critical velocity.

Authors:  Daijiro Abe; Hiroaki Tokumaru; Shigemitsu Niihata; Satoshi Muraki; Yoshiyuki Fukuoka; Sachio Usui; Takayoshi Yoshida
Journal:  J Sports Sci Med       Date:  2006-06-01       Impact factor: 2.988

Review 7.  The relationship between power output and endurance: a brief review.

Authors:  R H Morton; D J Hodgson
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

Review 8.  Reliability of power in physical performance tests.

Authors:  W G Hopkins; E J Schabort; J A Hawley
Journal:  Sports Med       Date:  2001       Impact factor: 11.136

9.  The impact of elevated body core temperature on critical power as determined by a 3-min all-out test.

Authors:  Brendan W Kaiser; Ka'eo K Kruse; Brandon M Gibson; Kelsey J Santisteban; Emily A Larson; Brad W Wilkins; Andrew M Jones; John R Halliwill; Christopher T Minson
Journal:  J Appl Physiol (1985)       Date:  2021-10-07

10.  Caffeine ingestion improves power output decrement during 3-min all-out exercise.

Authors:  Ching-Feng Cheng; Wei-Chieh Hsu; Yu-Hsuan Kuo; Ming-Tsung Shih; Chia-Lun Lee
Journal:  Eur J Appl Physiol       Date:  2016-07-02       Impact factor: 3.078

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