Int J Sports Med 2012; 33(10): 773-780
DOI: 10.1055/s-0032-1308996
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

Modelling Developmental Changes in Repeated-Sprint Ability by Chronological and Skeletal Ages in Young Soccer Players

J. Valente-dos-Santos
1   Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
,
M. J. Coelho-e-Silva
1   Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
,
R. A. Martins
1   Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
,
A. J. Figueiredo
1   Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
,
E. S. Cyrino
2   State University of Londrina, Paraná, Brazil
,
L. B. Sherar
3   School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, United Kingdom
,
R. Vaeyens
4   Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
,
B.C. H. Huijgen
5   Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
,
M. T. Elferink-Gemser
5   Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
,
R. M. Malina
6   Department of Kinesiology and Health Education, University of Texas, Austin, United States
7   Department of Health and Physical Education, Tarleton State University, Stephenville, United States
› Author Affiliations
Further Information

Publication History



accepted after revision 16 January 2012

Publication Date:
12 April 2012 (online)

Abstract

This study investigated the influence of chronological (CA) and skeletal ages (SA), anthropometry, aerobic endurance and lower limb explosive strength on developmental changes in repeated-sprint ability (RSA) in soccer players aged 11–17 years. Participants were annually followed over 5 years, resulting in 366 measurements. Multilevel regression modelling analysed longitudinal data aligned by CA and SA (Model 1 and 2, respectively). After diagnosing for multicollinearity, it was possible to predict RSA with 2-level hierarchical models [Model 1 (CA as Level 2 predictor): Log-Likelihood=1 515.29, p<0.01; Model 2 (SA as Level 2 predictor): Log-Likelihood=1 513.89, p<0.01]. Estimating sum of sprints for young soccer players are given by equations: sum of sprints=84.47 − 1.82×CA + 0.03×CA2 − 0.05×aerobic endurance − 0.10×lower limb explosive strength − 0.09×fat-free mass + 0.13×fat mass (Model 1); 73.58 − 0.43×SA − 0.05×aerobic endurance − 0.10×lower limb explosive strength − 0.08×fat-free mass − 0.45×training experience + 0.13×fat mass (Model 2). The models produced performance curves that may be used to estimate individual performance across adolescent years. Finally, the validity of each model was confirmed based on corresponding measurements taken on an independent cross-sectional sample.