Literature DB >> 16679990

Dynamic pacing strategies during the cycle phase of an Ironman triathlon.

Chris R Abbiss1, Marc J Quod, David T Martin, Kevin J Netto, Kazunori Nosaka, Hamilton Lee, Rob Surriano, David Bishop, Paul B Laursen.   

Abstract

INTRODUCTION: A nonlinear dynamic systems model has previously been proposed to explain pacing strategies employed during exercise.
PURPOSE: This study was conducted to examine the pacing strategies used under varying conditions during the cycle phase of an Ironman triathlon.
METHODS: The bicycles of six well-trained male triathletes were equipped with SRM power meters set to record power output, cadence, speed, and heart rate. The flat, three-lap, out-and-back cycle course, coupled with relatively consistent wind conditions (17-30 km x h(-1)), enabled comparisons to be made between three consecutive 60-km laps and relative wind direction (headwind vs tailwind).
RESULTS: Participants finished the cycle phase (180 km) with consistently fast performance times (5 h, 11 +/- 2 min; top 10% of all finishers). Average power output (239 +/- 25 to 203 +/- 20 W), cadence (89 +/- 6 to 82 +/- 8 rpm), and speed (36.5 +/- 0.8 to 33.1 +/- 0.8 km x h(-1)) all significantly decreased with increasing number of laps (P < 0.05). These variables, however, were not significantly different between headwind and tailwind sections. The deviation (SD) in power output and cadence did not change with increasing number of laps; however, the deviations in torque (6.8 +/- 1.6 and 5.8 +/- 1.3 N x m) and speed (2.1 +/- 0.5 and 1.6 +/- 0.3 km x h(-1)) were significantly greater under headwind compared with tailwind conditions, respectively. The median power frequency tended to be lower in headwind (0.0480 +/- 0.0083) compared with tailwind (0.0531 +/- 0.0101) sections.
CONCLUSION: These data show evidence that a nonlinear dynamic pacing strategy is used by well-trained triathletes throughout various segments and conditions of the Ironman cycle phase. Moreover, an increased variation in torque and speed was found in the headwind versus the tailwind condition.

Entities:  

Mesh:

Year:  2006        PMID: 16679990     DOI: 10.1249/01.mss.0000210202.33070.55

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  11 in total

Review 1.  Describing and understanding pacing strategies during athletic competition.

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

Review 2.  Strategies for improving performance in long duration events: Olympic distance triathlon.

Authors:  Christophe Hausswirth; Jeanick Brisswalter
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

3.  Pacing strategies during the swim, cycle and run disciplines of sprint, Olympic and half-Ironman triathlons.

Authors:  Sam Shi Xuan Wu; Jeremiah J Peiffer; Jeanick Brisswalter; Kazunori Nosaka; Wing Yin Lau; Chris R Abbiss
Journal:  Eur J Appl Physiol       Date:  2015-01-04       Impact factor: 3.078

4.  Elite triathletes in 'Ironman Hawaii' get older but faster.

Authors:  Dalia Gallmann; Beat Knechtle; Christoph Alexander Rüst; Thomas Rosemann; Romuald Lepers
Journal:  Age (Dordr)       Date:  2013-04-17

Review 5.  Factors influencing pacing in triathlon.

Authors:  Sam Sx Wu; Jeremiah J Peiffer; Jeanick Brisswalter; Kazunori Nosaka; Chris R Abbiss
Journal:  Open Access J Sports Med       Date:  2014-09-16

6.  The best triathletes are older in longer race distances - a comparison between Olympic, Half-Ironman and Ironman distance triathlon.

Authors:  Raphael Knechtle; Christoph Alexander Rüst; Thomas Rosemann; Beat Knechtle
Journal:  Springerplus       Date:  2014-09-18

7.  Celebrating 40 Years of Ironman: How the Champions Perform.

Authors:  Lucas Pinheiro Barbosa; Caio Victor Sousa; Marcelo Magalhães Sales; Rafael Dos Reis Olher; Samuel Silva Aguiar; Patrick Anderson Santos; Eduard Tiozzo; Herbert Gustavo Simões; Pantelis Theodoros Nikolaidis; Beat Knechtle
Journal:  Int J Environ Res Public Health       Date:  2019-03-20       Impact factor: 3.390

Review 8.  What predicts performance in ultra-triathlon races? - a comparison between Ironman distance triathlon and ultra-triathlon.

Authors:  Beat Knechtle; Matthias Alexander Zingg; Thomas Rosemann; Michael Stiefel; Christoph Alexander Rüst
Journal:  Open Access J Sports Med       Date:  2015-05-18

9.  Participation and performance trends in 'Ultraman Hawaii' from 1983 to 2012.

Authors:  Dimirela Meili; Beat Knechtle; Christoph Alexander Rüst; Thomas Rosemann; Romuald Lepers
Journal:  Extrem Physiol Med       Date:  2013-08-01

10.  Pacing, Exercise Intensity, and Technique by Performance Level in Long-Distance Cross-Country Skiing.

Authors:  Thomas L Stöggl; Markus Hertlein; Richard Brunauer; Boye Welde; Erik P Andersson; Mikael Swarén
Journal:  Front Physiol       Date:  2020-02-14       Impact factor: 4.566

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