Impact of energetic-anthropometric features on 50-m and 100-m freestyle kinematic indices in young male swimmers

<i>Purpose</i>: The determinants of the sports results of young and adult swimmers differ, especially in sprint races (50-100 m). Their identification can be used to assess the athlete's potential and to set appropriate requirements. The aim was to distinguish energy-anthropometric profiles (clusters) among young athletes and to characterize their kinematic indices in freestyle sprint races (50-100 m). Kinematic variables from both distances were compared in each cluster. <i>Methods</i>: Anthropometric indices and mechanical power of the upper limbs (arm-cranking) were determined in 43 subjects (boys, aged 12-13 years), which were used for cluster analysis. For the 50- and 100-m races the following were determined: velocity (<i>v</i>), stroke rate (SR), stroke length (SL) and stroke index (SI). Comparative analysis was performed between clusters and between distances. <i>Results</i>: The following clusters were distinguished: Large (LSP), Medium (MSP) and Small Size and Power (SSP), which differed due to anthropometric and power indices. Intergroup differences (LSP, MSP and SSP, respectively) were revealed in <i>v</i> <sub>50</sub> (1.65, 1.55, 1.49 m/s), <i>v</i> <sub>100</sub> (1.52, 1.41, 1.34 m/s), SL<sub>100</sub> (1.92, 1.77, 1.72 m), SI<sub>50</sub> (2.92, 2.65, 2.54 m/s<sup>2</sup>), SI<sub>100</sub> (2.91, 2.51, 2.31 m/s<sup>2</sup>). In all clusters differences were revealed between <i>v</i> <sub>50</sub> and <i>v</i> <sub>100</sub> and SR<sub>50</sub> and SR<sub>100</sub>. Differences in SL<sub>50</sub> and SL<sub>100</sub> were noticed in LSP and MSP, while in SI<sub>50</sub> and SI<sub>100</sub> in MSP and SSP. <i>Conclusions</i>: The evaluation of the technique should consider the energy-anthropometric profile of the athlete. The swimming technique need to be modified depending on the distance - also in races perceived as sprints.

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Publication Details

Journal
Acta of Bioengineering and Biomechanics
Published
2025-01-01
DOI
https://doi.org/10.37190/abb-02559-2024-02
Citations
3
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
5.16
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article

Impact of energetic-anthropometric features on 50-m and 100-m freestyle kinematic indices in young male swimmers

Julia Badzińska, Kamil Sokołowski, Magdalena Żegleń, Marek Strzała et al.
3 citations
Acta of Bioengineering and Biomechanics
Sports Performance and Training
5.16
article

Impact of energetic-anthropometric features on 50-m and 100-m freestyle kinematic indices in young male swimmers

Julia Badzińska, Kamil Sokołowski, Magdalena Żegleń, Marek Strzała, Łukasz Wądrzyk, Łukasz Kryst, Robert Staszkiewicz
article en
3 citations

Abstract

<i>Purpose</i>: The determinants of the sports results of young and adult swimmers differ, especially in sprint races (50-100 m). Their identification can be used to assess the athlete's potential and to set appropriate requirements. The aim was to distinguish energy-anthropometric profiles (clusters) among young athletes and to characterize their kinematic indices in freestyle sprint races (50-100 m). Kinematic variables from both distances were compared in each cluster. <i>Methods</i>: Anthropometric indices and mechanical power of the upper limbs (arm-cranking) were determined in 43 subjects (boys, aged 12-13 years), which were used for cluster analysis. For the 50- and 100-m races the following were determined: velocity (<i>v</i>), stroke rate (SR), stroke length (SL) and stroke index (SI). Comparative analysis was performed between clusters and between distances. <i>Results</i>: The following clusters were distinguished: Large (LSP), Medium (MSP) and Small Size and Power (SSP), which differed due to anthropometric and power indices. Intergroup differences (LSP, MSP and SSP, respectively) were revealed in <i>v</i> <sub>50</sub> (1.65, 1.55, 1.49 m/s), <i>v</i> <sub>100</sub> (1.52, 1.41, 1.34 m/s), SL<sub>100</sub> (1.92, 1.77, 1.72 m), SI<sub>50</sub> (2.92, 2.65, 2.54 m/s<sup>2</sup>), SI<sub>100</sub> (2.91, 2.51, 2.31 m/s<sup>2</sup>). In all clusters differences were revealed between <i>v</i> <sub>50</sub> and <i>v</i> <sub>100</sub> and SR<sub>50</sub> and SR<sub>100</sub>. Differences in SL<sub>50</sub> and SL<sub>100</sub> were noticed in LSP and MSP, while in SI<sub>50</sub> and SI<sub>100</sub> in MSP and SSP. <i>Conclusions</i>: The evaluation of the technique should consider the energy-anthropometric profile of the athlete. The swimming technique need to be modified depending on the distance - also in races perceived as sprints.

Acta of Bioengineering and BiomechanicsVol. 27(1)
Jagiellonian University (PL), University School of Physical Education in Kraków (PL)
Affordable and clean energy
Openalex Percentile: Top 5%
Sports Performance and Training
5.16
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