The Associations Between the Swimming Speed, Anthropometrics, Kinematics, and Kinetics in the Butterfly Stroke.

There is scarce information about what characterizes the swimming speed in the butterfly stroke and the role of thrust in its characterization and prediction. The aim of this study was to compare the fastest and poorest butterfly swimmers based on a set of anthropometric, kinematic, and kinetic variables and to identify the swimming speed predictors. Eight young male swimmers were divided into two equal groups (each group comprising four swimmers). The swimming speed, as well as a set of anthropometric, kinematic, and kinetic variables, were measured. The swimming speed presented significant differences between the groups (<i>p</i> = 0.011, <i>d</i> = 2.18). The stroke frequency (kinematics, <i>p</i> = 0.027, <i>d</i> = 1.69) and thrust (kinetics, <i>p</i> = 0.034, <i>d</i> = 1.57) also presented significant differences between the groups. The swimming speed presented significant correlations with the stroke index (<i>r<sub>s</sub></i> = 0.83, <i>p</i> = 0.011) and thrust (<i>r<sub>s</sub></i> = 0.83, <i>p</i> = 0.011). The swimming speed was predicted by a combination of the stroke frequency and thrust (R<sup>2</sup> = 0.84, <i>p</i> = 0.010). Coaches and athletes must be aware that combining fast stroke frequencies and the generation of greater thrust leads to the fastest swimming speeds.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-07-25
DOI
https://doi.org/10.3390/bioengineering12080797
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

The Associations Between the Swimming Speed, Anthropometrics, Kinematics, and Kinetics in the Butterfly Stroke.

Tiago M. Barbosa, Daniel A. Marinho, Tatiana Sampaio, Mafalda P. Pinto et al.
PubMed
Sports Performance and Training
article

The Associations Between the Swimming Speed, Anthropometrics, Kinematics, and Kinetics in the Butterfly Stroke.

Tiago M. Barbosa, Daniel A. Marinho, Tatiana Sampaio, Mafalda P. Pinto, Henrique P. Neiva, João P. Oliveira, Jorge E. Morais
article en

Abstract

There is scarce information about what characterizes the swimming speed in the butterfly stroke and the role of thrust in its characterization and prediction. The aim of this study was to compare the fastest and poorest butterfly swimmers based on a set of anthropometric, kinematic, and kinetic variables and to identify the swimming speed predictors. Eight young male swimmers were divided into two equal groups (each group comprising four swimmers). The swimming speed, as well as a set of anthropometric, kinematic, and kinetic variables, were measured. The swimming speed presented significant differences between the groups (<i>p</i> = 0.011, <i>d</i> = 2.18). The stroke frequency (kinematics, <i>p</i> = 0.027, <i>d</i> = 1.69) and thrust (kinetics, <i>p</i> = 0.034, <i>d</i> = 1.57) also presented significant differences between the groups. The swimming speed presented significant correlations with the stroke index (<i>r<sub>s</sub></i> = 0.83, <i>p</i> = 0.011) and thrust (<i>r<sub>s</sub></i> = 0.83, <i>p</i> = 0.011). The swimming speed was predicted by a combination of the stroke frequency and thrust (R<sup>2</sup> = 0.84, <i>p</i> = 0.010). Coaches and athletes must be aware that combining fast stroke frequencies and the generation of greater thrust leads to the fastest swimming speeds.

PubMedVol. 12(8)
University of Beira Interior (PT), Universidade Politécnica de Bragança (PT)
Openalex Percentile: Top 75%
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.

The Associations Between the Swimming Speed, Anthropometrics, Kinematics, and Kinetics in the Butterfly Stroke. — Tiago M. Barbosa, Daniel A. Marinho, et al. · PubMed (2025) | TGRS Research Map | TGRS