Literature DB >> 21725112

Using modeling to understand how athletes in different disciplines solve the same problem: swimming versus running versus speed skating.

Jos J de Koning1, Carl Foster, Alejandro Lucia, Maarten F Bobbert, Florentina J Hettinga, John P Porcari.   

Abstract

Every new competitive season offers excellent examples of human locomotor abilities, regardless of the sport. As a natural consequence of competitions, world records are broken every now and then. World record races not only offer spectators the pleasure of watching very talented and highly trained athletes performing muscular tasks with remarkable skill, but also represent natural models of the ultimate expression of human integrated muscle biology, through strength, speed, or endurance performances. Given that humans may be approaching our species limit for muscular power output, interest in how athletes improve on world records has led to interest in the strategy of how limited energetic resources are best expended over a race. World record performances may also shed light on how athletes in different events solve exactly the same problem-minimizing the time required to reach the finish line. We have previously applied mathematical modeling to the understanding of world record performances in terms of improvements in facilities/equipment and improvements in the athletes' physical capacities. In this commentary, we attempt to demonstrate that differences in world record performances in various sports can be explained using a very simple modeling process.

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Year:  2011        PMID: 21725112     DOI: 10.1123/ijspp.6.2.276

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  6 in total

Review 1.  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

2.  Pacing in Swimming: A Systematic Review.

Authors:  Katie E McGibbon; D B Pyne; M E Shephard; K G Thompson
Journal:  Sports Med       Date:  2018-07       Impact factor: 11.136

3.  The Science of Racing against Opponents: Affordance Competition and the Regulation of Exercise Intensity in Head-to-Head Competition.

Authors:  Florentina J Hettinga; Marco J Konings; Gert-Jan Pepping
Journal:  Front Physiol       Date:  2017-02-28       Impact factor: 4.566

4.  Arm-Stroke Descriptor Variability during 200-m Front Crawl Swimming.

Authors:  Matteo Cortesi; Rocco Di Michele; Silvia Fantozzi; Sandro Bartolomei; Giorgio Gatta
Journal:  Sensors (Basel)       Date:  2021-01-06       Impact factor: 3.576

5.  Summated Hazard Score as a Powerful Predictor of Fatigue in Relation to Pacing Strategy.

Authors:  Sylvia Binkley; Carl Foster; Cristina Cortis; Jos J de Koning; Christopher Dodge; Scott T Doberstein; Andrea Fusco; Salvador J Jaime; John P Porcari
Journal:  Int J Environ Res Public Health       Date:  2021-02-18       Impact factor: 3.390

Review 6.  Genetic characteristics of competitive swimmers: a review.

Authors:  Sigal Ben-Zaken; Alon Eliakim; Dan Nemet; Leonid Kaufman; Yoav Meckel
Journal:  Biol Sport       Date:  2021-04-01       Impact factor: 2.806

  6 in total

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