Journal
JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
Volume 54, Issue 3, Pages 307-316Publisher
EDIZIONI MINERVA MEDICA
Keywords
Metamorphosis, biological; Physical fitness; Soccer; Motor skills
Categories
Funding
- Portuguese Foundation for Science and Technology [SFRH/BD/64648/2009]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/64648/2009] Funding Source: FCT
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Aim. The purpose of the current study was to assess the developmental changes in change of direction and dribbling speed in youth soccer players taking into account skeletal age (SA), maturity status, body size, estimated fat mass, aerobic endurance, lower limb explosive strength and annual volume of training. Methods. Eighty-three male soccer players aged 10-15 years (SA) at baseline were annually followed over 5 years, resulting in an average 4.4 observations per player. After testing for multicollinearity, multi-level regression modeling was used to examine the longitudinal developmental changes on change of direction and dribbling speed. Results. Maturity-associated variability was significant in change of direction and also dribbling speed among young soccer players aged 12-14 years with better scores being performed by late maturers. Moreover, the predicted Ion gitudinal scores for change of direction and dribbling speed improved with SA (P<0.01), SA(2) (P<0.01) and skeletal maturity status entered as an additional developmental predictor (P<0.05). Estimated fat-free mass (P<0.01), aerobic endurance (P<0.01) and lower limb strength (P<0.01) were additional predictors in both models. The soccer-specific skill, dibbling speed, was also explained by annual volume of training (P<0.05). Conclusion. Skeletal maturity status explains inter-individual variability on maximal short-term run performances with and without the ball possession at early ages of participation in competitive soccer. The effects tend to persist across ages combined with longitudinal changes in body composition and functional fitness. In the particular case of the ball test, annual volume of training was also a longitudinal performance predictor.
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