Literature DB >> 29080511

Influence of outdoor running fatigue and medial tibial stress syndrome on accelerometer-based loading and stability.

Kurt H Schütte1, Stefan Seerden2, Rachel Venter3, Benedicte Vanwanseele2.   

Abstract

Medial tibial stress syndrome (MTSS) is a common overuse running injury with pathomechanics likely to be exaggerated by fatigue. Wearable accelerometry provides a novel alternative to assess biomechanical parameters continuously while running in more ecologically valid settings. The purpose of this study was to determine the influence of outdoor running fatigue and MTSS on both dynamic loading and dynamic stability derived from trunk and tibial accelerometery. Runners with (n=14) and without (n=16) history of MTSS performed an outdoor fatigue run of 3200m. Accelerometer-based measures averaged per lap included dynamic loading of the trunk and tibia (i.e. axial peak positive acceleration, signal power magnitude, and shock attenuation) as well as dynamic trunk stability (i.e. tri-axial root mean square ratio, step and stride regularity, and sample entropy). Regression coefficients from generalised estimating equations were used to evaluate group by fatigue interactions. No evidence could be found for dynamic loading being higher with fatigue in runners with MTSS history (all measures p>0.05). One significant group by running fatigue interaction effect was detected for dynamic stability. Specifically, in MTSS only, decreases mediolateral sample entropy i.e. loss of complexity was associated with running fatigue (p<0.01). The current results indicate that entire acceleration waveform signals reflecting mediolateral trunk control is related to MTSS history, a compensation that went undetected in the non-fatigued running state. We suggest that a practical outdoor running fatigue protocol that concurrently captures trunk accelerometry-based movement complexity warrants further prospective investigation as an in-situ screening tool for MTSS individuals.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometer; Body-worn sensor; Complexity; Fatigue; Overuse injury; Running

Mesh:

Year:  2017        PMID: 29080511     DOI: 10.1016/j.gaitpost.2017.10.021

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  19 in total

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7.  Music-based biofeedback to reduce tibial shock in over-ground running: a proof-of-concept study.

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8.  Towards Machine Learning-Based Detection of Running-Induced Fatigue in Real-World Scenarios: Evaluation of IMU Sensor Configurations to Reduce Intrusiveness.

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9.  Monitoring Gait Complexity as an Indicator for Running-Related Injury Risk in Collegiate Cross-Country Runners: A Proof-of-Concept Study.

Authors:  Allison H Gruber; James McDonnell; John J Davis; Jacob E Vollmar; Jaroslaw Harezlak; Max R Paquette
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Journal:  Sci Rep       Date:  2021-02-23       Impact factor: 4.379

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