PCA of Running Biomechanics after 5 km between Novice and Experienced Runners

Xinyan Jiang, Datao Xu, Yufei Fang*, István Bíró, Julien S. Baker, Yaodong Gu*

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    5 Citations (Scopus)

    Abstract

    Increased running experience appears to lower the risk of running-related injuries, but the mechanisms underlying this are unknown. Studying the biomechanics of runners with different running experiences before and after long-distance running can improve our understanding of the relationship between faulty running mechanics and injury. The purpose of the present study was to investigate if there were any differences in lower-limb biomechanics between runners after a 5 km run. Biomechanical data were collected from 15 novice and 15 experienced runners. Principal component analysis (PCA) with single-component reconstruction was used to identify variations in running biomechanics across the gait waveforms. A two-way repeated-measures ANOVA was conducted to explore the effects of runner and a 5 km run. Significant runner group differences were found for the kinematics and kinetics of lower-limb joints and ground reaction force (GRF) with respect to the magnitude across the stance phase. We found that novice runners exhibited greater changes in joint angles, joint moments, and GRFs than experienced runners regardless of the prolonged running session, and those patterns may relate to lower-limb injuries. The results of this study suggest that the PCA approach can provide unique insight into running biomechanics and injury mechanisms. The findings from the study could potentially guide training program developments and injury prevention protocols for runners with different running experiences.

    Original languageEnglish
    Article number876
    Number of pages19
    JournalBioengineering
    Volume10
    Issue number7
    DOIs
    Publication statusPublished - 24 Jul 2023

    Scopus Subject Areas

    • Bioengineering

    User-Defined Keywords

    • principal component analysis
    • running experience
    • running-related injuries;
    • biomechanics

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