Literature DB >> 32268839

Anthropometric variables, propulsive force and biological maturation: A mediation analysis in young swimmers.

Mariana Oliveira1, Rafael S Henrique1,2, Daniel R Queiroz1, Marlene Salvina1, Wilson V Melo2, Marcos André Moura Dos Santos1.   

Abstract

Youth swimming performance may be influenced by anthropometric and body composition factors during growth. Propulsive force of the arm (PFA) is highly related to swimming performance as 85-90% of the propulsive power comes from the arms. The current study analyzed the mediating effect of biological maturation on the relationship between anthropometric variables and body composition with PFA in young swimmers. A total of 128 swimmers [boys: n = 53, age = 13.6 (1.8) y; girls: n = 75, age = 12.5 (1.8) y] were evaluated. Propulsive force of the arm was estimated by the tethered swimming test. Anthropometric characteristics (body mass, stature, sitting height, arm span, arm muscle area, %body fat, and fat-free mass) were evaluated. Biological maturation was estimated by the age of peak height velocity. Mediation analyses were performed using the Preacher and Hayes bootstrapping method, adjusted for chronological age and sex. All anthropometric and body composition variables, except %body fat, were positively associated with PFA, being mediated by biological maturation. Indirect effects and 95% confidence intervals were: body mass [.20 (.09-.34)], stature [.22 (.11-.43)], arm span [0.17 (.05-.31)], arm muscle area [.74 (.38-1.19)] and fat free-mass [.17 (.05-.34)]. In conclusion, biological maturation mediated the positive associations between body size and composition and PFA in young swimmers.

Entities:  

Keywords:  Strength; performance; youth

Year:  2020        PMID: 32268839     DOI: 10.1080/17461391.2020.1754468

Source DB:  PubMed          Journal:  Eur J Sport Sci        ISSN: 1536-7290            Impact factor:   4.050


  6 in total

1.  Comparing cross-sectional and longitudinal tracking to establish percentile data and assess performance progression in swimmers.

Authors:  Dennis-Peter Born; Eva Rüeger; C Martyn Beaven; Michael Romann
Journal:  Sci Rep       Date:  2022-06-18       Impact factor: 4.996

2.  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

3.  Gender Differences and the Influence of Body Composition on Land and Pool-Based Assessments of Anaerobic Power and Capacity.

Authors:  Jacquelyn N Zera; Elizabeth F Nagle; Emma Connell; Erin Curtin; Wilmina Marget; Anna P Simonson; Takashi Nagai; John Abt; Scott Lephart
Journal:  Int J Environ Res Public Health       Date:  2022-06-28       Impact factor: 4.614

4.  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

5.  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

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

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