Literature DB >> 21343140

Low reproducibility of many lactate markers during incremental cycle exercise.

R Hugh Morton1, Stephen R Stannard, Bartholomew Kay.   

Abstract

Reports on reproducibility of lactate markers usually considered only two trials. The authors assessed reproducibility of power output at seven markers in 11 fit subjects over at least six trials under tightly controlled conditions. Subjects undertook incremental exercises (50 W start, +50 W every 3 min to exhaustion) on a cycle ergometer. At each trial blood lactate concentration was determined at rest and within the final 30 s of each stage. The Rest+1, 2.0 and 4.0 mmol/l markers were determined by interpolation, the D-max and nadir using a quadratic model and the lactate slope index using an exponential plus constant model, and a visual turnpoint was determined empirically. Intraclass correlations and coefficients of variation assessed reproducibility. Power output at all markers differed significantly between subjects, but not between trials. Intraclass correlation coefficients were respectively 0.799, 0.794, 0.807, 0.903, 0.677, 0.769 and 0.648, and corresponding standard errors of measurement 11.9, 9.2, 9.1, 2.5, 9.2, 10.8 and 24.7 W. Statistical powers of detecting a 30 W increment at these markers were 0.30, 0.43, 0.42, 0.98, 0.58, 0.38 and 0.18 respectively. These results indicate that only the D-max marker has good reproducibility and that it alone can identify small but meaningful changes in training status with sufficient statistical power.

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Year:  2011        PMID: 21343140     DOI: 10.1136/bjsm.2010.076380

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  7 in total

1.  Reliability and validity of physiological data obtained within a cycle-run transition test in age-group triathletes.

Authors:  Veronica Vleck; Gregoire P Millet; Francisco Bessone Alves; David J Bentley
Journal:  J Sports Sci Med       Date:  2012-12-01       Impact factor: 2.988

Review 2.  An integrated view on the oxygenation responses to incremental exercise at the brain, the locomotor and respiratory muscles.

Authors:  Jan Boone; Kristof Vandekerckhove; Ilse Coomans; Fabrice Prieur; Jan G Bourgois
Journal:  Eur J Appl Physiol       Date:  2016-09-09       Impact factor: 3.078

3.  Manipulating graded exercise test variables affects the validity of the lactate threshold and [Formula: see text].

Authors:  Nicholas A Jamnick; Javier Botella; David B Pyne; David J Bishop
Journal:  PLoS One       Date:  2018-07-30       Impact factor: 3.240

4.  Applicability of Dmax Method on Heart Rate Variability to Estimate the Lactate Thresholds in Male Runners.

Authors:  Eduardo Marcel Fernandes Nascimento; Diego Antunes; Paulo Cesar do Nascimento Salvador; Fernando Klitzke Borszcz; Ricardo Dantas de Lucas
Journal:  J Sports Med (Hindawi Publ Corp)       Date:  2019-09-19

5.  Current limits for flowmeter resistance in metabolic carts can negatively affect exercise performance.

Authors:  Fernando G Beltrami; Jérôme Kurz; Elena Roos; Christina M Spengler
Journal:  Physiol Rep       Date:  2021-04

6.  Ramp vs. step tests: valid alternatives to determine the maximal lactate steady-state intensity?

Authors:  Kevin Caen; Silvia Pogliaghi; Maarten Lievens; Kobe Vermeire; Jan G Bourgois; Jan Boone
Journal:  Eur J Appl Physiol       Date:  2021-03-16       Impact factor: 3.078

7.  Steady-state [Formula: see text] above MLSS: evidence that critical speed better represents maximal metabolic steady state in well-trained runners.

Authors:  Rebekah J Nixon; Sascha H Kranen; Anni Vanhatalo; Andrew M Jones
Journal:  Eur J Appl Physiol       Date:  2021-08-05       Impact factor: 3.078

  7 in total

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