Literature DB >> 20227342

Effort regulation in rowing races depends on performance level and exercise mode.

Morgan R Brown1, Simon Delau, François D Desgorces.   

Abstract

This study investigated the influence of performance level and exercise mode on the rowers' pacing strategies. On-water and indoor split times and placements (every 500-m) were obtained from individual 2000-m performances set at the elite, national and sub-elite competitive levels. The data was sorted into indoor (n=580) and on-water exercises (n=507). Indoor and on-water strategies statistically differed, whatever the competition level (p<0.001). Analysis of absolute and normalised velocities demonstrated higher and steadier paces in elite races compared to national and sub-elite races (p<0.001). On water, intermediate placements highlighted the great influence of taking the front of the race particularly at the elite level (at the elite level 78% of the winners were first at the middle of the race and 100% were in the first three). A "parabolic-shaped" profile could describe all races but performance level and exercise mode may alter this effort regulation to even (elite races) or positive paces (national and sub-elite indoor races). The even paces reported as the optimal strategy were not observed in lower performance levels probably because of rowers' inability to combine higher physiological effort and technical requirements of on-water rowing. Training exercise may account for these paces differences, according to the athletes' competitive level and to exercise mode.
Copyright © 2010 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20227342     DOI: 10.1016/j.jsams.2010.01.002

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  9 in total

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2.  Oxford and Cambridge Boat Race: Performance, Pacing and Tactics Between 1890 and 2014.

Authors:  Andrew M Edwards; Joshua H Guy; Florentina J Hettinga
Journal:  Sports Med       Date:  2016-10       Impact factor: 11.136

3.  Can the 20 and 60 s All-Out Test Predict the 2000 m Indoor Rowing Performance in Athletes?

Authors:  Dario Cerasola; Daniele Zangla; Joseph N Grima; Marianna Bellafiore; Angelo Cataldo; Marcello Traina; Laura Capranica; Nemanja Maksimovic; Patrik Drid; Antonino Bianco
Journal:  Front Physiol       Date:  2022-06-03       Impact factor: 4.755

4.  Comparison of vitality states of finishers and withdrawers in trail running: An enactive and phenomenological perspective.

Authors:  Nadège Rochat; Denis Hauw; Roberta Antonini Philippe; Fabienne Crettaz von Roten; Ludovic Seifert
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

5.  Energy systems efficiency influences the results of 2,000 m race simulation among elite rowers.

Authors:  Stefan Adrian Martin; Valeriu Tomescu
Journal:  Clujul Med       Date:  2017-01-15

6.  World and European Rowing Medallists Pace With Smaller Variation Than Their Competitors.

Authors:  Fredrik Mentzoni; Thomas Losnegard
Journal:  Front Sports Act Living       Date:  2021-12-22

7.  The Value of Meteorological Data in Optimizing the Pattern of Physical Load-A Forecast Model of Rowing Pacing Strategy.

Authors:  Tian Yan; Xiaodong Zhu; Xuesong Ding; Liming Chen
Journal:  Int J Environ Res Public Health       Date:  2021-12-29       Impact factor: 3.390

8.  The positive effects of priming exercise on oxygen uptake kinetics and high-intensity exercise performance are not magnified by a fast-start pacing strategy in trained cyclists.

Authors:  Renato Aparecido Corrêa Caritá; Camila Coelho Greco; Benedito Sérgio Denadai
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

9.  Kinematic Variables Evolution During a 200-m Maximum Test in Young Paddlers.

Authors:  Raquel Vaquero-Cristóbal; Fernando Alacid; Daniel López-Plaza; José María Muyor; Pedro A López-Miñarro
Journal:  J Hum Kinet       Date:  2013-10-08       Impact factor: 2.193

  9 in total

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