Analysis of best performances of front crawl swimming: a case study

Purpose: The aim of this work was to: 1) measure the energy cost of front crawl swimming at various speeds (range .8 -1.8 m·s-1 in elite and medium level swimmers; in addition, 2) estimate the maximal aerobic power and maximal anaerobic capacity from the relationship between overall energy spent and individual best times over distances from 50m to 1500m in one elite athlete. It will also be shown, that 3) the so obtained values are rather close to the actually measured ones. Methods: Oxygen consumption was measured on 13 medium level and 5 elite swimmers (best time over 100m, 51.50±3.54s), swimming the front crawl in a 25m indoor pool in the speed range .8-1.8 m·s-1. So, the energy cost of front crawl (Csw) could be calculated. Results: In both groups Csw increased with the speed as a second order polynomial. In the elite group it was ≈ 17 to ≈ 34 % smaller than in medium level swimmers, (P= .005). Knowledge of Csw allowed us to estimate the overall energy expenditure (Etot) during actual competitions as a function of the corresponding performance time (tr) in one elite swimmer. The results show that (Etot) increased linearly with tr. For tr ≥ 100s the slope and y intercept of the resulting linear regressions yield V̇O2max and maximal anaerobic capacity, respectively. These turned out to be close to the directly determined values. Conclusions: If the energy cost of swimming as a function of the speed is known, this approach yields reasonable estimates of the swimmers’ maximal oxygen consumption and maximal anaerobic capacity.

Authors

Institutions

Publication Details

Journal
Acta kinesiologica
Published
2025-01-01
DOI
https://doi.org/10.51371/issn.1840-2976.2025.19.1.9
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of best performances of front crawl swimming: a case study

Gian Mario Migliaccio, Antonio Buglione, Alin Larion, Fabio De Siati et al.
Acta kinesiologica
Sports Performance and Training
article

Analysis of best performances of front crawl swimming: a case study

Gian Mario Migliaccio, Antonio Buglione, Alin Larion, Fabio De Siati, Luca Russo, Johnny Padulo, P. E. di Prampero
article en

Abstract

Purpose: The aim of this work was to: 1) measure the energy cost of front crawl swimming at various speeds (range .8 -1.8 m·s-1 in elite and medium level swimmers; in addition, 2) estimate the maximal aerobic power and maximal anaerobic capacity from the relationship between overall energy spent and individual best times over distances from 50m to 1500m in one elite athlete. It will also be shown, that 3) the so obtained values are rather close to the actually measured ones. Methods: Oxygen consumption was measured on 13 medium level and 5 elite swimmers (best time over 100m, 51.50±3.54s), swimming the front crawl in a 25m indoor pool in the speed range .8-1.8 m·s-1. So, the energy cost of front crawl (Csw) could be calculated. Results: In both groups Csw increased with the speed as a second order polynomial. In the elite group it was ≈ 17 to ≈ 34 % smaller than in medium level swimmers, (P= .005). Knowledge of Csw allowed us to estimate the overall energy expenditure (Etot) during actual competitions as a function of the corresponding performance time (tr) in one elite swimmer. The results show that (Etot) increased linearly with tr. For tr ≥ 100s the slope and y intercept of the resulting linear regressions yield V̇O2max and maximal anaerobic capacity, respectively. These turned out to be close to the directly determined values. Conclusions: If the energy cost of swimming as a function of the speed is known, this approach yields reasonable estimates of the swimmers’ maximal oxygen consumption and maximal anaerobic capacity.

Acta kinesiologica(19, N1 2025)
University of Udine (IT), Ovidius University (RO), Università degli Studi eCampus (IT), University of Milan (IT), Marconi University (IT)
Openalex Percentile: Top 91%
Sports Performance and Training
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.