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  5. Foot Angle and Loading Rate during Running Demonstrate a Nonlinear Relationship
 
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Foot Angle and Loading Rate during Running Demonstrate a Nonlinear Relationship

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Author(s)
Stiffler-Joachim, Mikel R. 
Wille, Christa M. 
Kliethermes, Stephanie A. 
Johnston, William 
Heiderscheit, Bryan 
Uri
http://hdl.handle.net/10197/11950
Date Issued
October 2019
Date Available
16T15:35:04Z February 2021
Abstract
Vertical loading rates are typically found to be lower in forefoot compared to rearfoot strikers, promoting the idea that forefoot striking is desirable and may reduce running injury risk. However, prior work using linear models has shown that foot inclination angle (FIA) at initial contact is a poor predictor of vertical loading rate, suggesting a more complex association exists. Purpose: To determine if a nonlinear model superiorly describes the relationship between FIA and average vertical loading rate (AVLR). Secondary analyses assessed the influence of sex and sport on the association between FIA and AVLR.Methods: Whole body kinematics and vertical ground reaction forces were collected for 170 healthy National Collegiate Athletic Association Division I athletes (97 males; 81 cross-country runners) during treadmill running at 2.68, 3.35, and 4.47 m·s−1. Foot inclination angle and AVLR were calculated for 15 strides and averaged across strides for each limb. Polynomial mixed effects models assessed linear and nonlinear trends in the relationship between FIA and AVLR across the entire sample and accounting for sex and sport participation. Results: Average vertical loading rate was lowest at the extremes of FIA (i.e., −15°, 20°), whereas greater AVLR were observed between 5° and 10°. The cubic model resulted in a significantly better fit than the linear model (P < 0.001). Average vertical loading rate was also more variable among FIA associated with rearfoot and midfoot strike than forefoot strike. Adding sex to the model did not influence model fit; though, controlling for sport minimally improved model fit. Conclusions: The relationship between FIA and AVLR is best represented by a cubic model. Consequently, FIA should be treated as a continuous variable. Reducing FIA into categories may misrepresent the relationship between FIA and other gait variables.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Journal Article
Publisher
Wolters Kluwer
Journal
Medicine & Science in Sports & Exercise
Volume
51
Issue
10
Start Page
2067
End Page
2072
Copyright (Published Version)
2019 American College of Sports Medicine
Keywords
  • Personal sensing

  • Gait

  • Biomechanics

  • Foot inclination angl...

  • Foot strike

DOI
10.1249/MSS.0000000000002023
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Insight Research Collection
Scopus© citations
19
Acquisition Date
Jan 27, 2023
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