Quarterly Percentual Change in Height, Weight, Body Fat and Muscle Mass in Young Football Players of Different Categories

Author:

Falces-Prieto Moisés12ORCID,Martín-Moya Ricardo3ORCID,Delgado-García Gabriel4,Silva Rui Miguel56ORCID,Ceylan Halil Ibrahim7ORCID,de la Cruz-Márquez Juan Carlos3ORCID

Affiliation:

1. Faculty of Health Sciences, University Isabel I, 09003 Burgos, Spain

2. ACAFP Laboratory, Sports Sciences Department, KMSK Deinze, 9800 Deinze, Belgium

3. Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18071 Granada, Spain

4. Department of Physical Activity and Sport Sciences, SER Research Group, CESAG, Pontifical University of Comillas, 07013 Palma, Spain

5. Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal

6. Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4960-320 Melgaço, Portugal

7. Physical Education and Sports Teaching Department, Kazim Karabekir Faculty of Education, 13 Atatürk University, Erzurum 25240, Turkey

Abstract

The purpose of this study was to compare the change of Body Composition (BC) (height, weight, body fat percentage and muscle mass) as a function of the trimester and category in a sample of young soccer players. Data collection was performed in five consecutive seasons (2016–2021). The sample consisted of 741 young male football players of different categories (Under 14 year old (U14), U15, U16, U17 and U18) belonging to a high-performance football academy. Considering the trimestral change of all the raw anthropometrics variables a set of new variables called the trimestral change in percentage (TC) of each raw variable was computed. Two-way repeated measures ANOVA (including the raw anthropometric variables as dependent and trimester and the age-category as independent) revealed differences for the anthropometric variables (p value < 0.001 in all cases), concluding that the effect of trimester reaches conventional levels of statistical significance. The trimester by age in contrast was significant (p < 0.05) in all raw variables except for the height. Considering the TC variables, the variable height-TC showed an increase (p value < 0.05) while the variable muscle mass-TC was near the significative value (p = 0.09). In this case the interaction trimester by age category was not significative (p > 0.05 in all cases). It seems that height suffers more changes in the first trimester but the weight, body fat percentage and muscle mass changes more in the second and third trimester. It is important to modulate the training load according to the trimester-specific response, although these improvements may vary according to factors such as genetics, diet, sleep and the specific training.

Publisher

MDPI AG

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