Kalva-Filho, C. A.
Campos, E. Z.
Andrade, V. L.
Silva, A. S. R.
Zagatto, A. M.
Lima, M. C. S.
Total Authors: 7
 Univ Sao Paulo, Dept Rehabil & Funct Performance, BR-14049 Ribeirao Preto - Brazil
 State Univ Sao Paulo, Inst Biosci, Rio Claro - Brazil
 Univ Sao Paulo, Sch Phys Educ & Sport Ribeirao Preto, BR-14049 Ribeirao Preto - Brazil
 Univ Sao Paulo State UNESP, Dept Phys Educ, Sao Paulo - Brazil
Total Affiliations: 4
BIOLOGY OF SPORT;
Web of Science Citations:
The aims of the present study were to investigate the relationship of aerobic and anaerobic parameters with 400 m performance, and establish which variable better explains long distance performance in swimming. Twenty-two swimmers (19.1 +/- 1.5 years, height 173.9 +/- 10.0 cm, body mass 71.2 +/- 10.2 kg; 76.6 +/- 5.3% of 400 m world record) underwent a lactate minimum test to determine lactate minimum speed (LMS) (i.e., aerobic capacity index). Moreover, the swimmers performed a 400 m maximal effort to determine mean speed (S400m), peak oxygen uptake ((V) over dotO(2PEAK)) and total anaerobic contribution (C-ANA). The C-ANA was assumed as the sum of alactic and lactic contributions. Physiological parameters of 400 m were determined using the backward extrapolation technique ((V) over dotO(2PEAK)and alactic contributions of C-ANA) and blood lactate concentration analysis (lactic anaerobic contributions of C-ANA). The Pearson correlation test and backward multiple regression analysis were used to verify the possible correlations between the physiological indices (predictor factors) and S400m (independent variable) (p<0.05). Values are presented as mean +/- standard deviation. Significant correlations were observed between S400m (1.4 +/- 0.1 m.s(-1)) and LMS (1.3 +/- 0.1 m.s(-1); r=0.80), (V) over dotO(2PEAK) (4.5 +/- 3.9 L.min(-1); r=0.72) and C-ANA (4.7 +/- 1.5 L center dot O-2; r=0.44). The best model constructed using multiple regression analysis demonstrated that LMS and (V) over dotO(2PEAK) explained 85% of the 400 m performance variance. When backward multiple regression analysis was performed, C-ANA lost significance. Thus, the results demonstrated that both aerobic parameters (capacity and power) can be used to predict 400 m swimming performance. (AU)