Speed agility trends in children according to growth.

Matteo Giuriato, Roberto Codella, Nicola Lovecchio, Vittoria Carnevale Pellino, Matteo Vandoni, Alan M Nevill

Journal: Annals of human biology 2021;48(4):271-279

PMID: 33974454

Abstract

BACKGROUND

Speed agility is considered as the whole assessment of speed of movement, agility and coordination. The 10x4m test has been broadly used to evaluate physical fitness and overall health in children of developmental ages. A myriad of studies have investigated the ecology of speed agility (SA). However, body dimensions are rarely appraised, and this is a weakness because body shapes are affected by growth.

AIM

This study aimed to model SA-specific allometric equations, and develop an approach objectively predictive for performance while controlling for maturity through age at peak height velocity (agePHV).

SUBJECTS AND METHODS

A total of 7317 (3627 girls) children aged 8-11 years were SA-tested. Multiplicative models with allometric body-size components, agePHV, and categorical differences, were implemented to evaluate SA performance.

RESULTS

Model 1 accounted for body-size and shape only, whereas Model 2 included agePHV and Model 3 considered standing broad jump (SBJ) as a surrogate marker for explosive strength. An ectomorphic dominance was revealed across all the models.

CONCLUSION

The explosive strength resulted in influencing SA per height-to-weight ratio. Further, positive exponent of agePHV suggested that the late maturers were likely to show better SA performances. Predictive equations modelled on developmental factors are fundamental to scrutinise performances as valuable health and fitness outcomes in childhood.

Address: Department of Neurosciences, Biomedicine and Movement Sciences, Università di Verona, Verona, Italy.; Unit of Molecular Biology, Department of Health and Natural Sciences, Faculty of Physical Culture, Gdansk University of Physical Education and Sport, Gdansk, Poland.; Department of Endocrinology, Nutrition and Metabolic Diseases, IRCCS MultiMedica, Milano, Italy.; Department of Biomedical Science for Health, Università degli Studi di Milano, Milano, Italy.; Department of Human Science, Università degli Studi di Bergamo, Bergamo, Italy.; Laboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental Medicine and Forensic Science, University of Pavia, Pavia, Italy.; Department of Industrial Engineering, University of TorVergata, Rome, Italy.; Laboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental Medicine and Forensic Science, University of Pavia, Pavia, Italy.; Faculty of Education, Health and Wellbeing, University of Wolverhampton, Walsall, UK.
Bant logo

© Copyright 2026, Nutrition Evidence

NED wishes to thank the following organisations for their support:

We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.