Abstract

The aim of this study was to examine the influence of somatic maturation in anthropometric, physical, and game-related variables in youth basketball age groups under-13 (U-13) and under-15 (U-15). One-hundred and eighty-five basketball players performed anthropometrical and physical tests during a non-official youth basketball tournament. Predicted maturity offset (MO) and game-related variables were also analyzed. Cluster analysis was used to analyze the between-maturation status differences in all parameters in each age group. Also, regularized generalized canonical correlation analysis (RGCCA) was used to assess relative contributions of maturational, physical, and game-related variables within each age group. Based on MO, two different clusters were identified within each age category. Greater differences in MO were identified among U-13 clusters than among U-15 clusters. No significant differences were observed between clusters in terms of physical and game-related variables. High correlations between maturational, physical, and game-related variables (i.e., points scored, field goals attempted, and rebounds) were found for boys. In girls, different trends in terms of correlations were observed. The strongest association between blocks was observed between physical tests and game-related variables in all age categories, except for U-15 girls. Knowing and identifying performance profiles according to biological age is of upmost importance since it allows the coach to create challenging situations adjusted to the individual’s needs.

Highlights

  • Maturation refers to the developmental process toward the adult or mature state and can be defined in terms of status, tempo, and timing (Malina et al, 2004; Malina et al, 2015, Malina, 2016)

  • The results show significant differences in the age of peak height velocity (APHV) and maturity offset (MO) between Cluster 1 (C1) and Cluster 2 (C2) (U-13) and between Cluster 3 (C3) and Cluster 4. Cohen’s “d” units (C4) (U-15)

  • Present findings demonstrated the existence of different maturity status within each age category, and greater differences in terms of MO in younger age categories

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Summary

Introduction

Maturation refers to the developmental process toward the adult or mature state and can be defined in terms of status, tempo, and timing (Malina et al, 2004; Malina et al, 2015, Malina, 2016) The study of this individual’s variation effect in growth and maturation has contributed to a better understanding of its influence in different areas of development, such as physical and technical parameters (Malina et al, 2004; Baxter-Jones, 2009; Coelho e Silva et al, 2010; Sherar et al, 2010). The importance of future research when considering the effect of maturation on the development of youth players (e.g., basketball) in both genders can be derived

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