Influence of Growth, Maturation, and Sex on Maximal Power, Force, and Velocity During Overground Sprinting

Author:

Sudlow Anthony1,Galantine Paul1,Del Sordo Giovanna1,Raymond Jean-Jacques2,Dalleau Georges3,Peyrot Nicolas4,Duché Pascale1ORCID

Affiliation:

1. Research Unit of impact of physical activitity on health, IAPS UR201723207F, University of Toulon, Toulon, France;

2. Sports Medicine and Traumatology Unit, Hôpital Sainte Musse, CHITS, Toulon, France;

3. Laboratory IRISSE, EA4075, University of La Réunion, Le Tampon, La Réunion

4. Laboratory of Movement-Interactions-Performance, MIP, EA4334, University of Le Mans, Le Mans, France

Abstract

Abstract Sudlow, A, Galantine, P, Del Sordo, G, Raymond, J-J, Dalleau, G, Peyrot, N, and Duché, P. Influence of growth, maturation, and sex on maximal power, force, and velocity during overground sprinting. J Strength Cond Res 38(3): 491–500, 2024—In pediatric populations maximal anaerobic power, force, and velocity capabilities are influenced by changes in body dimensions and muscle function. The aim of this study was to investigate the influences of growth, maturation, and sex on short-term anaerobic performance. One hundred forty children pre-, mid-, and postpeak height velocity performed two 30-m sprints concurrently measured using a radar device. Maximal power (P max), force (F 0), and velocity (v 0) were calculated from sprint velocity-time data and normalized using sex-specific, multiplicative, allometric models containing body mass, fat-free mass (FFM), or height, and chronological age. Absolute values for P max, F 0, and v 0 were higher with increasing maturity (p < 0.01; d ≥ 0.96), and boys had greater outputs than girls (p < 0.01; d ≥ 1.19). When P max and v 0 were scaled all maturity-related and sex-related differences were removed. When F 0 was scaled using models excluding age, all maturity-related differences were removed except for the least mature group (p < 0.05; d ≥ 0.88) and boys maintained higher values than girls (p < 0.05; d ≥ 0.92). All maturity-related and sex-related differences were removed when F 0 was scaled using models including age. Maturity-related and sex-related variance in P max and v 0 can be entirely explained when FFM, height, and chronological age are accounted for. Regarding F 0, there seems to be a threshold after which the inclusion of age is no longer necessary to account for maturity-related differences. In young prepubertal children, the inclusion of age likely accounts for deficits in neuromuscular capacities and motor skills, which body dimensions cannot account for. Practitioners should focus on eliciting neural adaptations and enhancing motor coordination in prepubertal children to improve anaerobic performance during overground sprinting.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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