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Minerva Pediatrica 2020 June;72(3):163-9

DOI: 10.23736/S0026-4946.16.04439-X

Copyright © 2016 EDIZIONI MINERVA MEDICA

language: English

Integrated total body composition versus Body Mass Index in young athletes

Cristian PETRI 1, Gabriele MASCHERINI 1 , Vittorio BINI 2, Giuseppe ANANIA 1, Piergiuseppe CALÀ 3, Loira TONCELLI 1, Giorgio GALANTI 1

1 Department of Sports Medicine, University of Florence, Florence, Italy; 2 Department of Medicine, University of Perugia, Perugia, Italy; 3 Department of Prevention, Food Security, Environmental and Public Health, Tuscan Region, Florence, Italy



BACKGROUND: The aim of this study was to assess if the evaluation of Body Mass Index is sufficient to define an overweight index in young athletes, or if a more effective evaluation is preferable in order to examine body fat mass, free-fat mass and hydration status in young athletes.
METHODS: Two hundred ninety-nine young athletes between the ages of 8 to 18 have been analyzed in this study. Data from evaluation in body composition of young athletes were studied and subdivided by age, sex and method used. In order to measure body composition in young people, the participants who attend our Department for sport eligibility examination, were evaluated through anthropometric measurements as far as, fat mass, fat-free mass and hydration status are concerned.
RESULTS: The statistical differences showed with Body Mass Index and body fat assessment reflect that more accurate evaluation is preferable: the normal-weight with Body Mass Index are 78.0%, overweight 18.7% and obese 3.3% respect to a 75.0%, 14.0% and 11.0% detected with a body fat evaluation (P<0.000); statistical differences have been found also subdividing the group per sex, higher in males (P=0.046) than to females (P<0.000). Bio-impedance data shown a statistical differences in young obese athletes.
CONCLUSIONS: The results obtained show clearly that the analysis of the Body Mass Index is not sufficient in young athletes. Therefore, for young athletes a full assessment of body composition would be appropriate to reduce classific-tion errors.


KEY WORDS: Obesity; Nutritional sciences; Body Mass Index

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