Literature DB >> 12669261

Physiological and metabolic responses of triathletes to a simulated 30-min time-trial in cycling at self-selected intensity.

S Perrey1, F Grappe, A Girard, A Bringard, A Groslambert, W Bertucci, J D Rouillon.   

Abstract

The aim of this study was to investigate the metabolic and physiological responses to a laboratory-based simulated 30-min individual time-trial (ITT 30 ) in cycling at a self-selected intensity. Twelve experienced triathletes (n = 4 women) performed a progressive incremental exercise test on a cycle ergometer to determine .VO2max (52 +/- 5 ml x min -1 x kg -1), maximum power output (300 +/- 12 W), and the second ventilatory threshold. Then, the subjects completed an ITT30 at self-selected work intensity on a stationary ergometer equipped with the SRM Training System. In all subjects, during the ITT30, heart rate and minute ventilation increased (p < 0.05) progressively whereas oxygen consumption and power output remained unchanged. Triathletes rode at consistent pacing corresponding to their highest steady state of blood lactate concentration that increased by no more than 1.0 mmol x l -1 during the final 20-min of ITT30. The self-selected intensity of triathletes during ITT30 represented 88 +/- 5 % (mean +/- SD) of .VO2max and was not significantly different to the energy demand corresponding to the second ventilatory threshold (84 +/- 5 % of .VO2max). Our data suggest that ITT 30 at a self-selected intensity is a good predictor of individual endurance capacity and may be used to estimate racing pace for training purposes. This performance test for the identification of the exercise intensity that demarcate "steady state" is less troublesome than some of the traditional methods, limiting testing to a single session.

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Year:  2003        PMID: 12669261     DOI: 10.1055/s-2003-38200

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  6 in total

1.  Constant versus variable-intensity during cycling: effects on subsequent running performance.

Authors:  Thierry Bernard; Fabrice Vercruyssen; Cyrille Mazure; Philippe Gorce; Christophe Hausswirth; Jeanick Brisswalter
Journal:  Eur J Appl Physiol       Date:  2006-12-05       Impact factor: 3.078

Review 2.  Incremental exercise test design and analysis: implications for performance diagnostics in endurance athletes.

Authors:  David J Bentley; John Newell; David Bishop
Journal:  Sports Med       Date:  2007       Impact factor: 11.136

Review 3.  Describing and understanding pacing strategies during athletic competition.

Authors:  Chris R Abbiss; Paul B Laursen
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

4.  Effect of performance level on pacing strategy during a 10-km running race.

Authors:  Adriano E Lima-Silva; Romulo C M Bertuzzi; Flavio O Pires; Ronaldo V Barros; João F Gagliardi; John Hammond; Maria A Kiss; David J Bishop
Journal:  Eur J Appl Physiol       Date:  2009-12-11       Impact factor: 3.078

Review 5.  Let them roam free? Physiological and psychological evidence for the potential of self-selected exercise intensity in public health.

Authors:  Panteleimon Ekkekakis
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

6.  Correlation Properties of Heart Rate Variability during a Marathon Race in Recreational Runners: Potential Biomarker of Complex Regulation during Endurance Exercise.

Authors:  Thomas Gronwald; Bruce Rogers; Laura Hottenrott; Olaf Hoos; Kuno Hottenrott
Journal:  J Sports Sci Med       Date:  2021-10-01       Impact factor: 2.988

  6 in total

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