Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing Position

The purpose of this study was three-fold: (1) to describe anthropometric, maturation, and somatotype differences of players based on playing positions; (2) to analyze variations of accumulated load training (AcL) and fitness parameters between playing positions; and finally (3) to explain the variat...

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Main Authors: Hadi Nobari, Rafael Oliveira, Filipe Manuel Clemente, Jorge Pérez-Gómez, Elena Pardos-Mainer, Luca Paolo Ardigò
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Children
Subjects:
Online Access:https://www.mdpi.com/2227-9067/8/5/375
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author Hadi Nobari
Rafael Oliveira
Filipe Manuel Clemente
Jorge Pérez-Gómez
Elena Pardos-Mainer
Luca Paolo Ardigò
author_facet Hadi Nobari
Rafael Oliveira
Filipe Manuel Clemente
Jorge Pérez-Gómez
Elena Pardos-Mainer
Luca Paolo Ardigò
author_sort Hadi Nobari
collection DOAJ
description The purpose of this study was three-fold: (1) to describe anthropometric, maturation, and somatotype differences of players based on playing positions; (2) to analyze variations of accumulated load training (AcL) and fitness parameters between playing positions; and finally (3) to explain the variation of maximal oxygen uptake (VO<sub>2max</sub>) and peak power (PP) through the AcL, body fat (BF), maturity, somatotype and fitness levels. Twenty-seven male youth soccer players under-16 were divided by the following positions participated in this study: six central midfielders, four wingers (WG), five forwards, eight defenders, and four goalkeepers (GK). They were evaluated on two occasions: pre-season and after-season. Height, sitting height, body mass, BF, girths, percentage of BF (BF%), lean body mass, maturity, somatotype, sprint test, change of direction test, Yo-Yo intermittent recovery test level 1, Wingate, PP, VO<sub>2max</sub> and fatigue index were assessed. Then, AcL was monitored during training sessions. The main results revealed significant differences between player positions for maturity offset (<i>p</i> = 0.001), for BF (<i>p</i> = 0.006), BF% (<i>p</i> = 0.015), and lean body mass kg (<i>p</i> = 0.003). Also, there were significant differences for AcL and fatigue index in pre-season between player positions (<i>p</i> < 0.05). In addition, there were some significant differences in pre- and after-season for VO<sub>2max</sub> and PP between player positions (<i>p</i> < 0.05). In conclusion, GK showed higher values in anthropometric, body composition variables and maturity offset compared to the other positions, while WG presented lower levels of BF. In pre-season, there were more differences by player positions for the different variables analyzed than after-season that reinforces the tactical role of the positions, and the emphasis in increased load in the beginning of the season. This study could be used by coaches, staff, and researchers as a reference for athletes of the same sex, age, and competitive level.
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spelling doaj.art-44db31b33d11493f8fee3afb0b6dbcc32023-11-21T18:57:45ZengMDPI AGChildren2227-90672021-05-018537510.3390/children8050375Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing PositionHadi Nobari0Rafael Oliveira1Filipe Manuel Clemente2Jorge Pérez-Gómez3Elena Pardos-Mainer4Luca Paolo Ardigò5Department of Physical Education and Sports, University of Granada, 18010 Granada, SpainSports Science School of Rio Maior—Polytechnic Institute of Santarém, Av. Dr. Mário Soares, 2040-413 Rio Maior, PortugalEscola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, PortugalHEME Research Group, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, SpainHealth Sciences Faculty, Universidad San Jorge, Autov A23 km 299, 50830 Villanueva de Gállego, Zaragoza, SpainDepartment of Neurosciences, Biomedicine and Movement Sciences, School of Exercise and Sport Science, University of Verona, 37131 Verona, ItalyThe purpose of this study was three-fold: (1) to describe anthropometric, maturation, and somatotype differences of players based on playing positions; (2) to analyze variations of accumulated load training (AcL) and fitness parameters between playing positions; and finally (3) to explain the variation of maximal oxygen uptake (VO<sub>2max</sub>) and peak power (PP) through the AcL, body fat (BF), maturity, somatotype and fitness levels. Twenty-seven male youth soccer players under-16 were divided by the following positions participated in this study: six central midfielders, four wingers (WG), five forwards, eight defenders, and four goalkeepers (GK). They were evaluated on two occasions: pre-season and after-season. Height, sitting height, body mass, BF, girths, percentage of BF (BF%), lean body mass, maturity, somatotype, sprint test, change of direction test, Yo-Yo intermittent recovery test level 1, Wingate, PP, VO<sub>2max</sub> and fatigue index were assessed. Then, AcL was monitored during training sessions. The main results revealed significant differences between player positions for maturity offset (<i>p</i> = 0.001), for BF (<i>p</i> = 0.006), BF% (<i>p</i> = 0.015), and lean body mass kg (<i>p</i> = 0.003). Also, there were significant differences for AcL and fatigue index in pre-season between player positions (<i>p</i> < 0.05). In addition, there were some significant differences in pre- and after-season for VO<sub>2max</sub> and PP between player positions (<i>p</i> < 0.05). In conclusion, GK showed higher values in anthropometric, body composition variables and maturity offset compared to the other positions, while WG presented lower levels of BF. In pre-season, there were more differences by player positions for the different variables analyzed than after-season that reinforces the tactical role of the positions, and the emphasis in increased load in the beginning of the season. This study could be used by coaches, staff, and researchers as a reference for athletes of the same sex, age, and competitive level.https://www.mdpi.com/2227-9067/8/5/375VO<sub>2max</sub>anthropometricbody compositionmaturationpeak powertraining load
spellingShingle Hadi Nobari
Rafael Oliveira
Filipe Manuel Clemente
Jorge Pérez-Gómez
Elena Pardos-Mainer
Luca Paolo Ardigò
Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing Position
Children
VO<sub>2max</sub>
anthropometric
body composition
maturation
peak power
training load
title Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing Position
title_full Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing Position
title_fullStr Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing Position
title_full_unstemmed Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing Position
title_short Somatotype, Accumulated Workload, and Fitness Parameters in Elite Youth Players: Associations with Playing Position
title_sort somatotype accumulated workload and fitness parameters in elite youth players associations with playing position
topic VO<sub>2max</sub>
anthropometric
body composition
maturation
peak power
training load
url https://www.mdpi.com/2227-9067/8/5/375
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