<p>The study investigated associations of metabolic, anthropometric, and neuromuscular parameters with 50 to 400&#xa0;m front crawl performance. Competition performances of 24 female swimmers (14.9 ± 1.3 years) were recorded and metabolic determinants (maximal oxygen uptake and lactate accumulation [ċLa<sub>max</sub>], cost of swimming [C], and lactate threshold 1 [LT1] using 200&#xa0;m all-out, 20&#xa0;s sprint, 500&#xa0;m submaximal, and 3&#xa0;min incremental test, respectively), anthropometry and dryland strength (squat and bench press 1 repetition maximum [1RM<sub>SQ</sub>/1RM<sub>BP</sub>] and mean propulsive power [MPP<sub>SQ</sub>/MPP<sub>BP</sub>]) were assessed. 1RM<sub>SQ</sub> (61.9 ± 13.3&#xa0;kg) and MPP<sub>BP</sub> (207 ± 45&#xa0;W) correlated significantly with 50 (1.84 ± 0.07&#xa0;m∙s<sup>−1</sup>) and 100&#xa0;m performance (1.68 ± 0.06&#xa0;m∙s<sup>−1</sup>) (<i>r</i> ≥ 0.45) and ċLamax (0.35 ± 0.12 mmol·L<sup>−1</sup>·s<sup>−1</sup>) and body mass (60.1 ± 7.0&#xa0;kg) with 50 and 100&#xa0;m, respectively (<i>r</i> ≥ 0.44). Only LT1 (1.23 ± 0.04&#xa0;m∙s<sup>−1</sup>) correlated significantly with 200 (1.52 ± 0.05&#xa0;m∙s<sup>−1</sup>) and 400&#xa0;m performance (1.43 ± 0.06&#xa0;m∙s<sup>−1</sup>) (<i>r</i> ≥ 0.56). Multiple regression explained 33–35% and 61–86% of the variance in short- and middle-distance performance based on 1RM<sub>SQ</sub> and arm span and LT1, C, and fat percentage, respectively. Based on the analyses, mechanical determinants are more predictive of short- and metabolic determinants of middle-distance performance.</p>

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Higher relevance of mechanical determinants for short-distance performance and metabolic determinants for middle-distance performance in female adolescent swimmers at national level

  • Sebastian Keller,
  • Patrick Wahl

摘要

The study investigated associations of metabolic, anthropometric, and neuromuscular parameters with 50 to 400 m front crawl performance. Competition performances of 24 female swimmers (14.9 ± 1.3 years) were recorded and metabolic determinants (maximal oxygen uptake and lactate accumulation [ċLamax], cost of swimming [C], and lactate threshold 1 [LT1] using 200 m all-out, 20 s sprint, 500 m submaximal, and 3 min incremental test, respectively), anthropometry and dryland strength (squat and bench press 1 repetition maximum [1RMSQ/1RMBP] and mean propulsive power [MPPSQ/MPPBP]) were assessed. 1RMSQ (61.9 ± 13.3 kg) and MPPBP (207 ± 45 W) correlated significantly with 50 (1.84 ± 0.07 m∙s−1) and 100 m performance (1.68 ± 0.06 m∙s−1) (r ≥ 0.45) and ċLamax (0.35 ± 0.12 mmol·L−1·s−1) and body mass (60.1 ± 7.0 kg) with 50 and 100 m, respectively (r ≥ 0.44). Only LT1 (1.23 ± 0.04 m∙s−1) correlated significantly with 200 (1.52 ± 0.05 m∙s−1) and 400 m performance (1.43 ± 0.06 m∙s−1) (r ≥ 0.56). Multiple regression explained 33–35% and 61–86% of the variance in short- and middle-distance performance based on 1RMSQ and arm span and LT1, C, and fat percentage, respectively. Based on the analyses, mechanical determinants are more predictive of short- and metabolic determinants of middle-distance performance.