Literature DB >> 23196769

Linking selected kinematic, anthropometric and hydrodynamic variables to young swimmer performance.

Jorge E Morais1, Sérgio Jesus, Vasco Lopes, Nuno Garrido, António Silva, Daniel Marinho, Tiago M Barbosa.   

Abstract

The aim of this study was to develop a structural equation model (i.e., a confirmatory technique that analyzes relationships among observed variables) for young swimmer performance based on selected kinematic, anthropometric and hydrodynamic variables. A total of 114 subjects (73 boys and 41 girls of mean age of 12.31 ± 1.09 years; 47.91 ± 10.81 kg body mass; 156.57 ± 10.90 cm height and Tanner stages 1-2) were evaluated. The variables assessed were the: (i) 100 [m] freestyle performance; (ii) stroke index; (iii) speed fluctuation; (iv) stroke distance; (v) active drag; (vi) arm span and; (vii) hand surface area. All paths were significant (p < .05). However, in deleting the path between the hand surface area and the stroke index, the model goodness-of-fit significantly improved. Swimming performance in young swimmers appeared to be dependent on swimming efficiency (i.e., stroke index), which is determined by the remaining variables assessed, except for the hand surface area. Therefore, young swimmer coaches and practitioners should design training programs with a focus on technical training enhancement (i.e., improving swimming efficiency).

Entities:  

Mesh:

Year:  2012        PMID: 23196769     DOI: 10.1123/pes.24.4.649

Source DB:  PubMed          Journal:  Pediatr Exerc Sci        ISSN: 0899-8493            Impact factor:   2.333


  6 in total

1.  Understanding the Role of Propulsion in the Prediction of Front-Crawl Swimming Velocity and in the Relationship Between Stroke Frequency and Stroke Length.

Authors:  Jorge E Morais; Tiago M Barbosa; Alan M Nevill; Stephen Cobley; Daniel A Marinho
Journal:  Front Physiol       Date:  2022-04-27       Impact factor: 4.755

2.  Correlations between Crawl Kinematics and Speed with Morphologic, Functional, and Anaerobic Parameters in Competitive Swimmers.

Authors:  Marek Strzała; Arkadiusz Stanula; Piotr Krężałek; Kamil Sokołowski; Łukasz Wądrzyk; Marcin Maciejczyk; Jakub Karpiński; Wojciech Rejdych; Robert Wilk; Wojciech Sadowski
Journal:  Int J Environ Res Public Health       Date:  2022-04-11       Impact factor: 3.390

3.  Biological Age in Relation to Somatic, Physiological, and Swimming Kinematic Indices as Predictors of 100 m Front Crawl Performance in Young Female Swimmers.

Authors:  Kamil Sokołowski; Marek Strzała; Arkadiusz Stanula; Łukasz Kryst; Artur Radecki-Pawlik; Piotr Krężałek; Thomas Rosemann; Beat Knechtle
Journal:  Int J Environ Res Public Health       Date:  2021-06-04       Impact factor: 3.390

4.  Butterfly Sprint Swimming Technique, Analysis of Somatic and Spatial-Temporal Coordination Variables.

Authors:  Marek Strzała; Arkadiusz Stanula; Piotr Krężałek; Andrzej Ostrowski; Marcin Kaca; Grzegorz Głąb
Journal:  J Hum Kinet       Date:  2017-12-28       Impact factor: 2.193

5.  Monitoring Changes Over a Training Macrocycle in Regional Age-Group Swimmers.

Authors:  Guilherme Tucher; Flávio Antônio de Souza Castro; Nuno Domingos Garrido; Ricardo Jorge Fernandes
Journal:  J Hum Kinet       Date:  2019-10-18       Impact factor: 2.193

Review 6.  How Anthropometrics of Young and Adolescent Swimmers Influence Stroking Parameters and Performance? A Systematic Review.

Authors:  Miriam Alves; Diogo D Carvalho; Ricardo J Fernandes; João Paulo Vilas-Boas
Journal:  Int J Environ Res Public Health       Date:  2022-02-22       Impact factor: 3.390

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.