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

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 [ċLa<sub>max</sub>], 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 [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 kg) and MPP<sub>BP</sub> (207 ± 45 W) correlated significantly with 50 (1.84 ± 0.07 m∙s<sup>-1</sup>) and 100 m performance (1.68 ± 0.06 m∙s<sup>-1</sup>) (r ≥ 0.45) and ċLamax (0.35 ± 0.12 mmol·L<sup>-1</sup>·s<sup>-1</sup>) 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<sup>-1</sup>) correlated significantly with 200 (1.52 ± 0.05 m∙s<sup>-1</sup>) and 400 m performance (1.43 ± 0.06 m∙s<sup>-1</sup>) (r ≥ 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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-02-28
DOI
https://doi.org/10.1038/s41598-025-92056-y
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Patrick Wahl, Sebastian Keller
1 citations
Scientific Reports
Sports Performance and Training
1.72
article

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

Patrick Wahl, Sebastian Keller
article en
1 citations

Abstract

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 [ċLa<sub>max</sub>], 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 [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 kg) and MPP<sub>BP</sub> (207 ± 45 W) correlated significantly with 50 (1.84 ± 0.07 m∙s<sup>-1</sup>) and 100 m performance (1.68 ± 0.06 m∙s<sup>-1</sup>) (r ≥ 0.45) and ċLamax (0.35 ± 0.12 mmol·L<sup>-1</sup>·s<sup>-1</sup>) 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<sup>-1</sup>) correlated significantly with 200 (1.52 ± 0.05 m∙s<sup>-1</sup>) and 400 m performance (1.43 ± 0.06 m∙s<sup>-1</sup>) (r ≥ 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.

Scientific ReportsVol. 15(1)
German Sport University Cologne (DE)
Life below water
Openalex Percentile: Top 22%
Sports Performance and Training
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.