Literature DB >> 24260008

Assessment of short-distance breaststroke swimming performance with critical velocity.

Daijiro Abe1, Hiroaki Tokumaru, Shigemitsu Niihata, Satoshi Muraki, Yoshiyuki Fukuoka, Sachio Usui, Takayoshi Yoshida.   

Abstract

For high-velocity running or swimming, the relationship between velocity (v) and its sustainable duration (t) can be described by a hyperbolic relationship: (v - Vcrit)·t = D', where Vcrit is termed critical velocity, and D' is defined as a curvature constant of the hyperbolic curve. The purposes of this study were to examine whether the Vcrit could be applied to evaluate short-distance breaststroke swimming performance and to evaluate the relative contribution of D' in short-distance swimming performance. Eleven male swimmers performed a series of time trials corresponding to 75, 100, and 150-m in an indoor 50-m swimming pool. The observed records were calculated into average velocities of each event to determine Vcrit and D'. After the determination of Vcrit and D', all subjects performed 50-m time trial on another day. A maximal anaerobic power test using cycle ergometer was also performed in the laboratory. The average velocity of the 50-m time trial significantly correlated with the obtained Vcrit, but not with D'. D' was significantly correlated with the residual error, calculated from the regression analysis for the relationship between Vcrit and the average velocities of 50-m time trial. A cluster analysis showed that most of the subjects were classified as Vcrit dependency when performing 50-m time trial. Those results indicated that Vcrit could be applied to evaluate short-distance swimming performance, and it determined around 80% of the short-distance breaststroke swimming performance. Key PointsFor high-velocity running or swimming, the relationship between velocity (v) and its sustainable duration (t) can be described by a hyperbolic relationship: (v - Vcrit)·t = D', where Vcrit is termed critical velocity, and D' is defined as a curvature constant of the hyperbolic curve. The D' contributed only around 20% of the breaststroke swimming performance even in a short-distance event.Critical velocity determined around 80% of 50-m breaststroke swimming performance, and it could be a useful tool for evaluating short-distance swimming performance.Most of the swimmers showed characteristics for critical velocity dependent physical fitness even in short-distance swimming event.

Keywords:  Critical swimming velocity; D’; cluster analysis; hyperbolic curve

Year:  2006        PMID: 24260008      PMCID: PMC3827577     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  25 in total

1.  Relationship between the curvature constant parameter of the power-duration curve and muscle cross-sectional area of the thigh for cycle ergometry in humans.

Authors:  Akira Miura; Masako Endo; Hironori Sato; Haruhiko Sato; Thomas J Barstow; Yoshiyuki Fukuba
Journal:  Eur J Appl Physiol       Date:  2002-05-15       Impact factor: 3.078

2.  Differences in stroke phases, arm-leg coordination and velocity fluctuation due to event, gender and performance level in breaststroke.

Authors:  Hideki Takagi; Seiji Sugimoto; Naohiko Nishijima; Barry Wilson
Journal:  Sports Biomech       Date:  2004-01       Impact factor: 2.832

3.  Arm-leg coordination in flat breaststroke: a comparative study between elite and non-elite swimmers.

Authors:  H Leblanc; L Seifert; L Baudry; D Chollet
Journal:  Int J Sports Med       Date:  2005-11       Impact factor: 3.118

4.  A new index of flat breaststroke propulsion: a comparison of elite men and women.

Authors:  L Seifert; D Chollet
Journal:  J Sports Sci       Date:  2005-03       Impact factor: 3.337

5.  Simulated front crawl swimming performance related to critical speed and critical power.

Authors:  H M Toussaint; K Wakayoshi; A P Hollander; F Ogita
Journal:  Med Sci Sports Exerc       Date:  1998-01       Impact factor: 5.411

6.  Assessment of middle-distance running performance in sub-elite young runners using energy cost of running.

Authors:  D Abe; K Yanagawa; K Yamanobe; K Tamura
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1998-03

7.  The accuracy of the critical power test for predicting time to exhaustion during cycle ergometry.

Authors:  D J Housh; T J Housh; S M Bauge
Journal:  Ergonomics       Date:  1989-08       Impact factor: 2.778

8.  Comparison of anaerobic components of the Wingate and Critical Power tests in males and females.

Authors:  R Bulbulian; J W Jeong; M Murphy
Journal:  Med Sci Sports Exerc       Date:  1996-10       Impact factor: 5.411

9.  The relationship between critical power and running performance.

Authors:  T Kolbe; S C Dennis; E Selley; T D Noakes; M I Lambert
Journal:  J Sports Sci       Date:  1995-06       Impact factor: 3.337

Review 10.  The critical power concept. A review.

Authors:  D W Hill
Journal:  Sports Med       Date:  1993-10       Impact factor: 11.136

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  1 in total

1.  Can the curriculum be used to estimate critical velocity in young competitive swimmers?

Authors:  Aldo M Costa; António J Silva; Hugo Louro; Victor M Reis; Nuno D Garrido; Mário C Marques; Daniel A Marinho
Journal:  J Sports Sci Med       Date:  2009-03-01       Impact factor: 2.988

  1 in total

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