Literature DB >> 25295477

The biological age of 14-year-old boys and success in adult soccer: do early maturers predominate in the top-level game?

Sergej M Ostojic1, Carlo Castagna, Julio Calleja-González, Igor Jukic, Kemal Idrizovic, Marko Stojanovic.   

Abstract

Talent identification and development in soccer is often biased by maturation-related differences of young athletes. However, there is no information available about success rates for youth maturing at different tempos to achieve success in elite adult soccer. The purposes of this study were to determine the prevalence of different maturational groups among boys playing soccer, and to track them for competence in adult performance. A prospective cohort study design was used to follow 55, 14-year-old boys playing in Serbian youth soccer Division I over eight years. At the age of 14, biological age using skeletal age rates was determined, and participants were categorized as early maturers (EaM), normal maturers (NoM), and late maturers (LaM). Game competence for adult soccer at age 22 was described as elite if an individual played for clubs competing in top-five international soccer leagues (La Liga, Premier League, Bundesliga, Serie A, and Ligue 1), and/or has become a member of an adult National team. Among boys in our study group, 43.8% were categorized as EaM, 35.4% as NoM, and 20.8% as LaM (P = 0.11). A significant difference in biological age was found among maturational groups at age 14, with EaM > NoM > LaM (P > 0.0001). When assessed for adult soccer competence, 33.3% of participants (16 out of 48 players) succeed in achieving elite level. Elite soccer competence acquired 60.1% players from the group of LaM, 38.1% from NoM, and 11.8% from EaM (P > 0.0001). Our comparative analysis suggests that soccer excludes early maturing boys and favors late maturing boys as level of performance increases.

Entities:  

Keywords:  elite soccer; maturation; skeletal age; youth

Mesh:

Year:  2014        PMID: 25295477     DOI: 10.1080/15438627.2014.944303

Source DB:  PubMed          Journal:  Res Sports Med        ISSN: 1543-8627            Impact factor:   4.674


  15 in total

1.  Science or Coaches' Eye? - Both! Beneficial Collaboration of Multidimensional Measurements and Coach Assessments for Efficient Talent Selection in Elite Youth Football.

Authors:  Roland Sieghartsleitner; Claudia Zuber; Marc Zibung; Achim Conzelmann
Journal:  J Sports Sci Med       Date:  2019-02-11       Impact factor: 2.988

2.  Tanner-Whitehouse Skeletal Ages in Male Youth Soccer Players: TW2 or TW3?

Authors:  Robert M Malina; Manuel J Coelho-E-Silva; António J Figueiredo; Renaat M Philippaerts; Norikazu Hirose; Maria Eugenia Peña Reyes; Giulio Gilli; Andrea Benso; Roel Vaeyens; Dieter Deprez; Luiz G A Guglielmo; Rojapon Buranarugsa
Journal:  Sports Med       Date:  2018-04       Impact factor: 11.136

Review 3.  Talent Identification and Development in Male Football: A Systematic Review.

Authors:  Hugo Sarmento; M Teresa Anguera; Antonino Pereira; Duarte Araújo
Journal:  Sports Med       Date:  2018-04       Impact factor: 11.136

4.  Balance, Basic Anthropometrics and Performance in Young Alpine Skiers; Longitudinal Analysis of the Associations During two Competitive Seasons.

Authors:  Blaz Lesnik; Damir Sekulic; Matej Supej; Michael R Esco; Milan Zvan
Journal:  J Hum Kinet       Date:  2017-06-22       Impact factor: 2.193

5.  Geographical Variations in the Interaction of Relative Age Effects in Youth and Adult Elite Soccer.

Authors:  Christina Steingröver; Nick Wattie; Joseph Baker; Werner F Helsen; Jörg Schorer
Journal:  Front Psychol       Date:  2017-03-07

6.  The Relative Age Effect in Poland's Elite Youth Soccer Players.

Authors:  Krystian Rubajczyk; Andrzej Rokita
Journal:  J Hum Kinet       Date:  2018-10-15       Impact factor: 2.193

7.  The Relative Age Effect in under-18 basketball: Effects on performance according to playing position.

Authors:  Sergio J Ibáñez; Aitor Mazo; Juarez Nascimento; Javier García-Rubio
Journal:  PLoS One       Date:  2018-07-09       Impact factor: 3.240

8.  Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport.

Authors:  Kevin Till; Joseph Baker
Journal:  Front Psychol       Date:  2020-04-15

9.  Holistic Patterns as an Instrument for Predicting the Performance of Promising Young Soccer Players - A 3-Years Longitudinal Study.

Authors:  Claudia Zuber; Marc Zibung; Achim Conzelmann
Journal:  Front Psychol       Date:  2016-07-27

10.  Skeletal age prediction model from percentage of adult height in children and adolescents.

Authors:  Luis Alberto Flores Olivares; Lidia G De León; Maria Isabel Fragoso
Journal:  Sci Rep       Date:  2020-09-25       Impact factor: 4.379

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