Longitudinal Development of Physical Fitness in Young Football Players: A Bayesian Analysis

This study investigated developmental changes in body size and physical fitness parameters in 76 young football players (12.22 ± 1.20 years; CI: 10.59-15.04 years) from a Brazilian club across 20 months. Players performed jumping, agility, intermittent endurance, and sprint tests. A Bayesian multilevel regression modeling approach was used to analyze performance relative to both chronological age (CA) and age at peak height velocity (PHV). The results indicate that stature and body mass increased non-linearly, while skinfold measurements remained stable across the period investigated. Physical fitness performance aligned more consistently with age at PHV than CA, and Bayesian models accounting for age at PHV exhibit greater homogeneity. These findings emphasize the importance of considering biological maturation when interpreting body size and performance changes in young football players. Considering both CA and age at PHV helps select more suitable training strategies throughout the long-term development process and enhances fairness while reducing the risk of overlooking potential talents in the athlete selection process.

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Publication Details

Journal
Research Quarterly for Exercise and Sport
Published
2025-09-18
DOI
https://doi.org/10.1080/02701367.2025.2558190
Primary Topic
Sports Performance and Training
Type
article
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article

Longitudinal Development of Physical Fitness in Young Football Players: A Bayesian Analysis

Humberto M. Carvalho, Ronei Silveira Pinto, Thiago José Leonardi, Marcelo Cardoso et al.
Research Quarterly for Exercise and Sport
Sports Performance and Training
article

Longitudinal Development of Physical Fitness in Young Football Players: A Bayesian Analysis

Humberto M. Carvalho, Ronei Silveira Pinto, Thiago José Leonardi, Marcelo Cardoso, Artur Goulart Berger, Jonatan de Oliveira, Vitor A. Delavald
article en

Abstract

This study investigated developmental changes in body size and physical fitness parameters in 76 young football players (12.22 ± 1.20 years; CI: 10.59-15.04 years) from a Brazilian club across 20 months. Players performed jumping, agility, intermittent endurance, and sprint tests. A Bayesian multilevel regression modeling approach was used to analyze performance relative to both chronological age (CA) and age at peak height velocity (PHV). The results indicate that stature and body mass increased non-linearly, while skinfold measurements remained stable across the period investigated. Physical fitness performance aligned more consistently with age at PHV than CA, and Bayesian models accounting for age at PHV exhibit greater homogeneity. These findings emphasize the importance of considering biological maturation when interpreting body size and performance changes in young football players. Considering both CA and age at PHV helps select more suitable training strategies throughout the long-term development process and enhances fairness while reducing the risk of overlooking potential talents in the athlete selection process.

Research Quarterly for Exercise and SportVol. 97(1)
Universidade Federal do Rio Grande do Sul (BR), Universidade Federal de Santa Catarina (BR)
Openalex Percentile: Top 67%
Sports Performance and Training
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Longitudinal Development of Physical Fitness in Young Football Players: A Bayesian Analysis — Humberto M. Carvalho, Ronei Silveira Pinto, et al. · Research Quarterly for Exercise and Sport (2025) | TGRS Research Map | TGRS