Literature DB >> 28128633

Reliability of time-to-exhaustion and selected psycho-physiological variables during constant-load cycling at the maximal lactate steady-state.

Oliver Faude1,2, Anne Hecksteden1, Daniel Hammes1,2, Franck Schumacher1, Eric Besenius1,3, Billy Sperlich4, Tim Meyer1.   

Abstract

The maximal lactate steady-state (MLSS) is frequently assessed for prescribing endurance exercise intensity. Knowledge of the intra-individual variability of the MLSS is important for practical application. To date, little is known about the reliability of time-to-exhaustion and physiological responses to exercise at MLSS. Twenty-one healthy men (age, 25.2 (SD 3.3) years; height, 1.83 (0.06) m; body mass, 78.9 (8.9) kg; maximal oxygen uptake, 57.1 (10.7) mL·min-1·kg-1) performed 1 incremental exercise test, and 2 constant-load tests to determine MLSS intensity. Subsequently, 2 open-end constant-load tests (MLSS 1 and 2) at MLSS intensity (3.0 (0.7) W·kg-1, 76% (10%) maximal oxygen uptake) were carried out. During the tests, blood lactate concentrations, heart rate, ratings of perceived exertion (RPE), variables of gas exchange, and core body temperature were determined. Time-to-exhaustion was 50.8 (14.0) and 48.2 (16.7) min in MLSS 1 and 2 (mean change: -2.6 (95% confidence interval: -7.8, 2.6)), respectively. The coefficient of variation (CV) was high for time-to-exhaustion (24.6%) and for mean (4.8 (1.2) mmol·L-1) and end (5.4 (1.7) mmol·L-1) blood lactate concentrations (15.7% and 19.3%). The CV of mean exercise values for all other parameters ranged from 1.4% (core temperature) to 8.3% (ventilation). At termination, the CVs ranged from 0.8% (RPE) to 11.8% (breathing frequency). The low reliability of time-to-exhaustion and blood lactate concentration at MLSS indicates that the precise individual intensity prescription may be challenging. Moreover, the obtained data may serve as reference to allow for the separation of intervention effects from random variation in our sample.

Entities:  

Keywords:  endurance training; open-end exercise; physiological assessment of performance; reproducibility; variability

Mesh:

Substances:

Year:  2016        PMID: 28128633     DOI: 10.1139/apnm-2016-0375

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  9 in total

1.  A regression method for the power-duration relationship when both variables are subject to error.

Authors:  Giovanni Vinetti; Anna Taboni; Guido Ferretti
Journal:  Eur J Appl Physiol       Date:  2020-02-20       Impact factor: 3.078

Review 2.  A critical review of critical power.

Authors:  Raffy Dotan
Journal:  Eur J Appl Physiol       Date:  2022-03-18       Impact factor: 3.346

3.  Orosomucoid: a promising biomarker for the assessment of exercise-induced fatigue triggered by basic combat training.

Authors:  Yi Ruan; Ke-Fa Xiang; Hui-Min Zhang; Zhen Qin; Yang Sun; Jing-Jing Wan; Wei Gu; Xia Liu
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-06-03

4.  Critical speed estimated by statistically appropriate fitting procedures.

Authors:  Davide Malatesta; Fabio Borrani; Aurélien Patoz; Romain Spicher; Nicola Pedrani
Journal:  Eur J Appl Physiol       Date:  2021-04-03       Impact factor: 3.078

5.  Respiratory Frequency during Exercise: The Neglected Physiological Measure.

Authors:  Andrea Nicolò; Carlo Massaroni; Louis Passfield
Journal:  Front Physiol       Date:  2017-12-11       Impact factor: 4.566

6.  Intensity- and Duration-Based Options to Regulate Endurance Training.

Authors:  Peter Hofmann; Gerhard Tschakert
Journal:  Front Physiol       Date:  2017-05-24       Impact factor: 4.566

7.  Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players.

Authors:  Ben Cao; Shuojia Liu; Lin Yang; Aiping Chi
Journal:  Biomed Res Int       Date:  2020-03-18       Impact factor: 3.411

8.  Dose-Response Matters! - A Perspective on the Exercise Prescription in Exercise-Cognition Research.

Authors:  Fabian Herold; Patrick Müller; Thomas Gronwald; Notger G Müller
Journal:  Front Psychol       Date:  2019-11-01

9.  Potato ingestion is as effective as carbohydrate gels to support prolonged cycling performance.

Authors:  Amadeo F Salvador; Colleen F McKenna; Rafael A Alamilla; Ryan M T Cloud; Alexander R Keeble; Adriana Miltko; Susannah E Scaroni; Joseph W Beals; Alexander V Ulanov; Ryan N Dilger; Laura L Bauer; Elizabeth M Broad; Nicholas A Burd
Journal:  J Appl Physiol (1985)       Date:  2019-10-17
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.