Comparison of Transverse Plane Tibial and Frontal Plane Rearfoot Motion and Movement Coordination Between Runners With Medial Tibial Stress Syndrome and Healthy Controls

Ben Langley, Nick Knight, Stewart C. Morrison

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Medial tibial stress syndrome (MTSS) is a common running-related injury. Alterations in movement patterns and movement coordination patterns have been linked to the development of overuse injuries. The aim of this study was to compare transverse plane tibial and frontal plane rearfoot motion and the coordination of these movements between runners with MTSS and healthy controls. A total of 10 recreational runners with MTSS and 10 healthy controls ran at 11 km/h on a treadmill. A 3-camera motion analysis system operating at 200 Hz was used to calculate tibia and rearfoot motion. Stance phase motion patterns were compared between groups using multivariate analysis, specifically, Hotelling T2 test with statistical parametric mapping. A modified vector coding technique was used to classify the coordination of transverse plane tibial and frontal plane rearfoot motion. The frequency of each coordination pattern displayed by each group was compared using independent samples t tests. Individuals with MTSS displayed significantly (P = .037, d = 1.00) more antiphase coordination (tibial internal rotation with rearfoot inversion) despite no significant (P > .05) differences in stance phase kinematics. The increased antiphase movement may increase the torsional stress placed upon the medial aspect of the tibia, contributing to the development of MTSS.

    Original languageEnglish
    Pages (from-to)375-380
    Number of pages6
    JournalJournal Of Applied Biomechanics
    Volume36
    Issue number6
    DOIs
    Publication statusPublished - 31 Dec 2020

    Bibliographical note

    Accepted author manuscript version reprinted, by permission, from Journal Of Applied Biomechanics, 2020, https://doi.org/10.1123/jab.2019-0367. © Human Kinetics, Inc.

    Keywords

    • running
    • kinematics
    • injury
    • Vector coding
    • Statistical parametric mapping
    • Injury
    • Kinematics
    • Running

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