Literature DB >> 32131691

Key somatic variables associated with, and differences between the 4 swimming strokes.

Alan M Nevill1, Yassine Negra2, Tony D Myers3, Senda Sammoud2, Helmi Chaabene4.   

Abstract

This study identified key somatic and demographic characteristics that benefit all swimmers and, at the same time, identified further characteristics that benefit only specific swimming strokes. Three hundred sixty-three competitive-level swimmers (male [n = 202]; female [n = 161]) participated in the study. We adopted a multiplicative, allometric regression model to identify the key characteristics associated with 100 m swimming speeds (controlling for age). The model was refined using backward elimination. Characteristics that benefited some but not all strokes were identified by introducing stroke-by-predictor variable interactions. The regression analysis revealed 7 "common" characteristics that benefited all swimmers suggesting that all swimmers benefit from having less body fat, broad shoulders and hips, a greater arm span (but shorter lower arms) and greater forearm girths with smaller relaxed arm girths. The 4 stroke-specific characteristics reveal that backstroke swimmers benefit from longer backs, a finding that can be likened to boats with longer hulls also travel faster through the water. Other stroke-by-predictor variable interactions (taken together) identified that butterfly swimmers are characterized by greater muscularity in the lower legs. These results highlight the importance of considering somatic and demographic characteristics of young swimmers for talent identification purposes (i.e., to ensure that swimmers realize their most appropriate strokes).

Entities:  

Keywords:  Swim speed; allometric models; limb dimensions; log-linear regression; ratios; talent identification

Mesh:

Year:  2020        PMID: 32131691     DOI: 10.1080/02640414.2020.1734311

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  4 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.  The Effect of Three-Year Swim Training on Cardio-Respiratory Fitness and Selected Somatic Features of Prepubertal Boys.

Authors:  Ryszard Zarzeczny; Mariusz Kuberski; Edyta Suliga
Journal:  Int J Environ Res Public Health       Date:  2022-06-10       Impact factor: 4.614

3.  Maturation-based Corrective Adjustment Procedures (Mat-CAPs) in youth swimming: Evidence for restricted age-group application in females.

Authors:  Clorinda Hogan; Shaun Abbott; Mark Halaki; Marcela Torres Castiglioni; Goshi Yamauchi; Lachlan Mitchell; James Salter; Michael Romann; Stephen Cobley
Journal:  PLoS One       Date:  2022-10-07       Impact factor: 3.752

Review 4.  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

  4 in total

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