Literature DB >> 28272998

Assessing Fat Mass of Adolescent Swimmers Using Anthropometric Equations: A DXA Validation Study.

Gabriel Lozano-Berges1,2, Alejandro Gómez-Bruton1,2, Ángel Matute-Llorente1,2, Cristina Julián-Almárcegui1,2, Alba Gómez-Cabello1,3, Alejandro González-Agüero1,2, José A Casajús1,2, Germán Vicente-Rodríguez1,2.   

Abstract

PURPOSE: The aim of the present study was to determine which of the published anthropometric equations is the most appropriate to estimate body-fat percentage (BF%) in adolescent swimmers.
METHOD: Eighty-eight swimmers (45 boys, 43 girls) participated in this study. Following the recommendations of the International Society of the Advancement of Kinanthropometry, biceps, triceps, subscapular, iliac-crest, supraspinale, front-thigh, and medial calf skinfold thicknesses were measured. Waist, hip, midthigh, calf, relaxed arm, and arm flexed and tensed girths were also registered. BF% was measured with dual-energy X-ray absorptiometry (DXA) to obtain the reference value. Existing anthropometric equations were applied, and BF% results obtained from anthropometric equations were compared to DXA BF% results with the modified Bland-Altman.
RESULTS: The Flavel, Durnin-Rahaman-Siri, and Durnin-Rahaman-Brozek were the only equations that did not demonstrate statistically significant differences when compared with DXA.
CONCLUSION: The present study showed that the best anthropometric equation from existing literature to estimate BF% in swimmers is that proposed by Durnin-Rahaman (independently of applying the Siri or Brozek equation).

Entities:  

Keywords:  Body composition; swimming; teenagers; water

Mesh:

Year:  2017        PMID: 28272998     DOI: 10.1080/02701367.2017.1284976

Source DB:  PubMed          Journal:  Res Q Exerc Sport        ISSN: 0270-1367            Impact factor:   2.500


  1 in total

1.  Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia.

Authors:  Ana Lucía López; Juan David Vélez; Angélica María García; Elkin Fernando Arango
Journal:  Biomedica       Date:  2021-03-19       Impact factor: 0.935

  1 in total

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