Literature DB >> 4008143

Relationship between swimming velocity and lactic concentration during continuous and intermittent training exercises.

J Olbrecht, O Madsen, A Mader, H Liesen, W Hollmann.   

Abstract

The present study examined the relationship between lactic acid concentration in capillary blood and swimming velocity during 11 typical endurance exercises (continuous swimming for 30 and 60 min, interval swimming with distances between 50 and 400 m, and with rest periods of 10 and 30 s) and during the "two-speed test" recently described by Mader. It was expected that a better understanding of these relationships could provide evidence how to adjust training intensities from results obtained during the two-speed test. Fifty-nine male swimmers of the German national level participated in this study. After a 30-min maximal swimming test, a mean lactic acid concentration of 4.01 +/- 0.75 mmol/l was found. The corresponding mean velocity was similar to the speed (V4) calculated for the 4 mmol/l level on the basis of the results obtained during the two-speed test (2 X 400). During 30 min continuous swimming at 95% to 105% of the velocity V4, there was a significant correlation (r = 0.82, P less than 0.001) between the swimming speed and the lactic acid concentration. In the 30-min maximal test, the velocity V4 correlated significantly with both the lactic acid concentration (r = -0.58, P less than 0.005) and the swimming speed (r = 0.97, P less than 0.001). During the interval exercises with rest periods of 10 s, the swimming velocities corresponding to the same lactic acid level as during continuous swimming, increased for the 50, 100, 200, and 400 m by 11.23%, 4.21%, 2.95%, and 2.02% of V4, respectively. With rest periods of 30 s, the swimming velocity for the 100, 200, and 400 m increased by 7.34%, 4.22%, and 3.01% of V4, respectively.(ABSTRACT TRUNCATED AT 250 WORDS)

Entities:  

Mesh:

Substances:

Year:  1985        PMID: 4008143     DOI: 10.1055/s-2008-1025816

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  24 in total

Review 1.  Interval training for performance: a scientific and empirical practice. Special recommendations for middle- and long-distance running. Part I: aerobic interval training.

Authors:  L V Billat
Journal:  Sports Med       Date:  2001       Impact factor: 11.136

Review 2.  Performance evaluation of swimmers: scientific tools.

Authors:  David J Smith; Stephen R Norris; John M Hogg
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

3.  Effect of exercise to rest ratio on plasma lactate concentration at work rates above and below maximum oxygen uptake.

Authors:  D L Ballor; A J Volovsek
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

4.  Metabolic predictors of middle-distance swimming performance.

Authors:  J P Ribeiro; E Cadavid; J Baena; E Monsalvete; A Barna; E H De Rose
Journal:  Br J Sports Med       Date:  1990-09       Impact factor: 13.800

5.  Critical velocity, anaerobic distance capacity, maximal instantaneous velocity and aerobic inertia in sprint and endurance young swimmers.

Authors:  Rodrigo Zacca; Bruno München Wenzel; Jeferson Steffanello Piccin; Nilson Romeu Marcilio; André Luiz Lopes; Flávio Antônio de Souza Castro
Journal:  Eur J Appl Physiol       Date:  2010-04-23       Impact factor: 3.078

6.  Determination and validity of critical velocity as an index of swimming performance in the competitive swimmer.

Authors:  K Wakayoshi; K Ikuta; T Yoshida; M Udo; T Moritani; Y Mutoh; M Miyashita
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

7.  The use of neural network technology to model swimming performance.

Authors:  António José Silva; Aldo Manuel Costa; Paulo Moura Oliveira; Victor Machado Reis; José Saavedra; Jurgen Perl; Abel Rouboa; Daniel Almeida Marinho
Journal:  J Sports Sci Med       Date:  2007-03-01       Impact factor: 2.988

8.  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

Review 9.  Use of blood lactate measurements for prediction of exercise performance and for control of training. Recommendations for long-distance running.

Authors:  L V Billat
Journal:  Sports Med       Date:  1996-09       Impact factor: 11.136

Review 10.  Quantification of training in competitive sports. Methods and applications.

Authors:  W G Hopkins
Journal:  Sports Med       Date:  1991-09       Impact factor: 11.136

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.