Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
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1/2026
vol. 43
 
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abstract:
Original paper

Neuromechanical effects and predictive profiling of sprint priming strategies in elite youth sprinters

Krzysztof Kotuła
1
,
Aleksander Matusiński
1
,
Adam Maszczyk
1
,
Lucas A. Pereira
2, 3
,
Adam Zajac
1
,
Irineu Loturco
2, 3, 4, 5

  1. Institute of Sport Sciences, Jerzy Kukuczka Academy of Physical Education, Katowice, Poland
  2. NAR – Nucleus of High Performance in Sport, São Paulo, Brazil
  3. Department of Human Movement Sciences, Federal University of São Paulo, UNIFESP, São Paulo, Brazil
  4. UCAM Research Center for High Performance Sport, UCAM – Universidad Católica de Murcia, Murcia, Spain
  5. Facultad de Deporte, UCAM – Universidad Católica de Murcia, Murcia, Spain
Biol Sport. 2026;43:319–327
Online publish date: 2025/09/12
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This study aimed to compare the acute biomechanical effects of three distinct sprint-specific priming strategies – resisted sprinting, assisted sprinting (i.e., overspeed), and technical wicket drills – on neuromechanical performance during 50-m sprint trials in elite youth sprinters. Twelve nationally ranked female youth sprinters (17.3 ± 0.8 years) participated in a randomized, repeated-measures protocol. Each athlete performed baseline 50-m maximal sprints, followed by three separate priming interventions, with performance re-evaluated at 24 h and 48 h post-activation. Key outcome measures included 50-m sprint time, reactive strength index (RSI), ground contact time (GCT), flight time (FT), step length, step frequency, duty factor, and asymmetry metrics. Data were analyzed using repeated-measures ANOVA, principal component analysis (PCA), k-means clustering, and machine learning classifiers. Assisted sprinting produced the greatest improvements in RSI (+0.13) and the largest reductions in GCT (−16 ms) at 48 h post-activation (p < 0.001). Resisted sprinting significantly increased step length (+0.09 m), while technical drills improved interlimb asymmetry and mediolateral control. PCA revealed two primary adaptation domains: PC1 (RSI, GCT, FT) and PC2 (interlimb asymmetry, mediolateral sway, and step frequency). Machine learning models (AUC = 0.83–0.85) identified the priming strategy, baseline asymmetry, and step frequency as the strongest predictors of ≥ 10% improvement in RSI. Sprint priming strategies elicited distinct neuromechanical responses that can be assessed during 50-m sprint trials. The overspeed protocol most effectively enhances force-time capacity and sprint performance, whereas technical drills primarily improve coordination. Integrating multivariate modeling facilitates the individualized prescription of priming protocols, offering a flexible and evidence-based approach to sprint optimization and athlete development.
keywords:

Sprint velocity, Athletic performance, Track and field, Resisted sprinting, Priming strategies

 
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