Literature DB >> 30995104

Changes in the power-duration relationship following prolonged exercise: estimation using conventional and all-out protocols and relationship with muscle glycogen.

Ida E Clark1, Anni Vanhatalo1, Christopher Thompson1, Lee J Wylie1, Stephen J Bailey1, Brett S Kirby2, Brad W Wilkins2, Andrew M Jones1.   

Abstract

It is not clear how the parameters of the power-duration relationship [critical power (CP) and W'] are influenced by the performance of prolonged endurance exercise. We used severe-intensity prediction trials (conventional protocol) and the 3-min all-out test (3MT) to measure CP and W' following 2 h of heavy-intensity cycling exercise and took muscle biopsies to investigate possible relationships to changes in muscle glycogen concentration ([glycogen]). Fourteen participants completed a rested 3MT to establish end-test power (Control-EP) and work done above EP (Control-WEP). Subsequently, on separate days, immediately following 2 h of heavy-intensity exercise, participants completed a 3MT to establish Fatigued-EP and Fatigued-WEP and three severe-intensity prediction trials to the limit of tolerance (Tlim) to establish Fatigued-CP and Fatigued-W'. A muscle biopsy was collected immediately before and after one of the 2-h exercise bouts. Fatigued-CP (256 ± 41 W) and Fatigued-EP (256 ± 52 W), and Fatigued-W' (15.3 ± 5.0 kJ) and Fatigued-WEP (14.6 ± 5.3 kJ), were not different (P > 0.05) but were ~11% and ~20% lower than Control-EP (287 ± 46 W) and Control-WEP (18.7 ± 4.7 kJ), respectively (P < 0.05). The change in muscle [glycogen] was not significantly correlated with the changes in either EP (r = 0.19) or WEP (r = 0.07). The power-duration relationship is adversely impacted by prolonged endurance exercise. The 3MT provides valid estimates of CP and W' following 2 h of heavy-intensity exercise, but the changes in these parameters are not primarily determined by changes in muscle [glycogen].

Entities:  

Keywords:  critical power; fatigue; metabolism; performance

Year:  2019        PMID: 30995104     DOI: 10.1152/ajpregu.00031.2019

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  7 in total

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Journal:  Int J Exerc Sci       Date:  2021-09-01

2.  Factors Influencing AMPK Activation During Cycling Exercise: A Pooled Analysis and Meta-Regression.

Authors:  Jeffrey A Rothschild; Hashim Islam; David J Bishop; Andrew E Kilding; Tom Stewart; Daniel J Plews
Journal:  Sports Med       Date:  2021-12-08       Impact factor: 11.928

Review 3.  The Importance of 'Durability' in the Physiological Profiling of Endurance Athletes.

Authors:  Ed Maunder; Stephen Seiler; Mathew J Mildenhall; Andrew E Kilding; Daniel J Plews
Journal:  Sports Med       Date:  2021-04-22       Impact factor: 11.136

Review 4.  The maximal metabolic steady state: redefining the 'gold standard'.

Authors:  Andrew M Jones; Mark Burnley; Matthew I Black; David C Poole; Anni Vanhatalo
Journal:  Physiol Rep       Date:  2019-05

5.  Prolonged cycling reduces power output at the moderate-to-heavy intensity transition.

Authors:  Julian D Stevenson; Andrew E Kilding; Daniel J Plews; Ed Maunder
Journal:  Eur J Appl Physiol       Date:  2022-09-20       Impact factor: 3.346

6.  Calculation of Critical Speed from Raw Training Data in Recreational Marathon Runners.

Authors:  Barry Smyth; Daniel Muniz-Pumares
Journal:  Med Sci Sports Exerc       Date:  2020-12

7.  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

  7 in total

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