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March 5, 2026Applied Sciences1 citationsOpen Access

Age-Related Differences in Thigh Biarticular Agonist–Antagonist Coordination During 50 m Sprinting: A Phase-Specific Analysis of sEMG and Ground Reaction Force Using Phase Mean Comparisons and Linear Mixed-Effects Models

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KYKanta YokotaHTHiroyuki Tamaki

Key Points

  • The study aims to investigate phase-specific differences in agonist–antagonist coordination of thigh muscles during 50 m sprinting between adolescents and adults.
  • Participants included 38 trained athletes (21 adults, 17 adolescents).
  • sEMG and ground reaction forces measured during 50 m sprints.
  • Each stride was segmented into seven phases to calculate the co-contraction index (CCI) for rectus femoris and biceps femoris.
  • Phase mean CCI differences between groups were analyzed using linear mixed-effects models.
  • Adolescents demonstrated higher CCI compared to adults in both contact and propulsive phases for both legs.
  • Frequency and speed interactions revealed significant differences in CCI modulation between age groups.
  • Adults typically downregulated CCI with increased speed, while adolescents increased CCI.

Abstract

Background: Age-related differences in neuromuscular coordination during multi-joint tasks are reported, but phase-specific evidence during maximal sprinting is limited. Aim: The aim of this study was to investigate phase-specific age differences in agonist–antagonist coordination of the biarticular thigh muscles during 50 m sprinting. Methods: Thirty-eight healthy trained track athletes (Adults: n = 21, age = 23.32 ± 2.98 years; Adolescents: n = 17, age = 13.65 ± 0.76 years) performed maximal 50 m sprints over force plates. Bilateral rectus femoris (RF) and biceps femoris (BF) sEMG and ground reaction forces were recorded; each stride was segmented into seven phases, and an RF–BF co-contraction index (CCI) was calculated per phase. Between-group differences in phase mean CCI were tested (α = 0.05) and quantified with Hedges’ g. Speed- and frequency-dependent modulation of CCI was evaluated using linear mixed-effects models (LME; random intercepts for participant) with Frequency × Group and Speed × Group interaction terms; ordinary least squares (OLS) fits on stride cycle-level group means were descriptive. Linear and single-breakpoint segmented models were compared using the corrected Akaike information criterion (AICc) and Akaike weights. Results: Adolescents showed higher CCI in contact (right: Adults 0.09 ± 0.05 vs. Adolescents 0.13 ± 0.07, g = 0.68; left: Adults 0.08 ± 0.04 vs. Adolescents 0.12 ± 0.06, g = 0.84) and propulsive phases (right: Adults 0.08 ± 0.05 vs. Adolescents 0.13 ± 0.08, g = 0.68; left: Adults 0.07 ± 0.04 vs. Adolescents 0.12 ± 0.07, g = 0.84; p < 0.05 for both legs in both phases). LME identified Frequency × Group interactions in the stride cycle (ΔSlope = 0.10, p < 0.001) and late swing (ΔSlope = 0.12, p < 0.05) and a Speed × Group interaction in mid swing (ΔSlope = 0.01, p < 0.05). Mid swing showed a positive CCI–speed/frequency relationship in both groups, whereas across most other phases Adults downregulated CCI as speed/frequency increased while Adolescents tended to increase CCI. Model selection supported phase-dependent single-breakpoint patterns, with breakpoints around 2.19–2.21 Hz and 6.11–9.51 m·s−1 in Adults and around 2.11 Hz and 7.13–7.59 m·s−1 in Adolescents. Conclusions: Maximal sprinting revealed phase-specific age differences in BF–RF co-contraction and its scaling with speed/frequency, which may help guide age-informed monitoring and training considerations in developing athletes.

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Cite This Study

Yokota et al. (2026) studied this question.

synapsesocial.com/papers/69a91e65d6127c7a504c26d0https://doi.org/10.3390/app16052439
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Also Consider

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