Literature DB >> 12750593

Pattern of energy expenditure during simulated competition.

Carl Foster1, Jos J De Koning, Floor Hettinga, Joanne Lampen, Kerry L La Clair, Christopher Dodge, Maarten Bobbert, John P Porcari.   

Abstract

PURPOSE: To determine how athletes spontaneously use their energetic reserves when the only instruction was to finish in minimal time, and whether experience from repeated performance changes the strategy of recreational athletes.
METHODS: Recreational road cyclists/speed skaters (N = 9) completed three laboratory time trials of 1500 m on a windload braked cycle. The pattern of energy use was calculated from total work and from the work attributable to aerobic metabolism, which allowed computation of anaerobic energy use. Regional level speed skaters (N = 8) also performed a single 1500-m time trial with the same protocol and measurements.
RESULTS: The serial trials were completed in (mean +/- SD) 133.8 +/- 6.6, 133.9 +/- 5.8, 133.8 +/- 5.5 s (P > 0.05 among trials); and in 125.7 +/- 10.9 s in the skaters (P < 0.05 vs cyclists). The [OV0312]O(2peak) during the terminal 200 m was similar within trials (3.23 +/- 0.44, 3.34 +/- 0.44, 3.30 +/- 0.51 (P > 0.05)) versus 3.91 +/- 0.68 L.min-1 in the skaters (P < 0.05 vs cyclists). In all events, the initial power output and anaerobic energy use was high and decayed to a more or less constant value ( approximately 25% of peak) over the remainder of the event. Contrary to predictions based on an assumed "all out" starting strategy, the subjects reserved some of their ability to perform anaerobic work for a terminal acceleration. The total work accomplished was not different between trials (43.53, 43.78, and 47.48 kJ in the recreational athletes, or between the cyclists and skaters (47.79 kJ). The work attributable to anaerobic sources was not different between the rides (20.67, 20.53, and 21.12 kJ in the recreational athletes). In the skaters, the work attributable to anaerobic sources was significantly larger versus the cyclists (24.67 kJ).
CONCLUSION: Energy expenditure during high-intensity cycling seems: 1) to be expended in a manner that allows the athlete to preserve an anaerobic energetic contribution throughout an event, 2) does not appear to have a large learning effect in already well trained cyclists, and 3) anaerobic energy expenditure may be the performance discriminating factor among groups of athletes.

Entities:  

Mesh:

Year:  2003        PMID: 12750593     DOI: 10.1249/01.MSS.0000065001.17658.68

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


  25 in total

Review 1.  Distribution of power output during cycling: impact and mechanisms.

Authors:  Greg Atkinson; Oliver Peacock; Alan St Clair Gibson; Ross Tucker
Journal:  Sports Med       Date:  2007       Impact factor: 11.136

2.  The eccentric muscle loading influences the pacing strategies during repeated downhill sprint intervals.

Authors:  B Baron; F Deruelle; F Moullan; G Dalleau; C Verkindt; T D Noakes
Journal:  Eur J Appl Physiol       Date:  2008-12-19       Impact factor: 3.078

3.  Rapidity of responding to a hypoxic challenge during exercise.

Authors:  Blair D Johnson; Trent Joseph; Glenn Wright; Rebecca A Battista; Christopher Dodge; Alecia Balweg; Jos J de Koning; Carl Foster
Journal:  Eur J Appl Physiol       Date:  2009-03-27       Impact factor: 3.078

4.  Reproducibility of pacing strategy during simulated 20-km cycling time trials in well-trained cyclists.

Authors:  Kevin Thomas; Mark R Stone; Kevin G Thompson; Alan St Clair Gibson; Les Ansley
Journal:  Eur J Appl Physiol       Date:  2011-05-01       Impact factor: 3.078

5.  Consistency of perceptual and metabolic responses to a laboratory-based simulated 4,000-m cycling time trial.

Authors:  Mark R Stone; Kevin Thomas; Michael Wilkinson; Alan St Clair Gibson; Kevin G Thompson
Journal:  Eur J Appl Physiol       Date:  2011-01-11       Impact factor: 3.078

Review 6.  Performance characteristics of long-track speed skaters: a literature review.

Authors:  Marco J Konings; Marije T Elferink-Gemser; Inge K Stoter; Dirk van der Meer; Egbert Otten; Florentina J Hettinga
Journal:  Sports Med       Date:  2015-04       Impact factor: 11.136

7.  Will the Conscious-Subconscious Pacing Quagmire Help Elucidate the Mechanisms of Self-Paced Exercise? New Opportunities in Dual Process Theory and Process Tracing Methods.

Authors:  Dominic Micklewright; Sue Kegerreis; John Raglin; Florentina Hettinga
Journal:  Sports Med       Date:  2017-07       Impact factor: 11.136

Review 8.  Pacing Decision Making in Sport and the Effects of Interpersonal Competition: A Critical Review.

Authors:  Marco J Konings; Florentina J Hettinga
Journal:  Sports Med       Date:  2018-08       Impact factor: 11.136

Review 9.  Fatigue and pacing in high-intensity intermittent team sport: an update.

Authors:  Mark Waldron; Jamie Highton
Journal:  Sports Med       Date:  2014-12       Impact factor: 11.136

10.  Effects of Cycling Versus Running Training on Sprint and Endurance Capacity in Inline Speed Skating.

Authors:  Carolin Stangier; Thomas Abel; Julia Mierau; Wildor Hollmann; Heiko K Strüder
Journal:  J Sports Sci Med       Date:  2016-02-23       Impact factor: 2.988

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.