Literature DB >> 29846979

Kinetic risk factors of running-related injuries in female recreational runners.

C Napier1,2, C L MacLean1,2, J Maurer2, J E Taunton2,3, M A Hunt1.   

Abstract

Our objective was to prospectively investigate the association of kinetic variables with running-related injury (RRI) risk. Seventy-four healthy female recreational runners ran on an instrumented treadmill while 3D kinetic and kinematic data were collected. Kinetic outcomes were vertical impact transient, average vertical loading rate, instantaneous vertical loading rate, active peak, vertical impulse, and peak braking force (PBF). Participants followed a 15-week half-marathon training program. Exposure time (hours of running) was calculated from start of program until onset of injury, loss to follow-up, or end of program. After converting kinetic variables from continuous to ordinal variables based on tertiles, Cox proportional hazard models with competing risks were fit for each variable independently, before analysis in a forward stepwise multivariable model. Sixty-five participants were included in the final analysis, with a 33.8% injury rate. PBF was the only kinetic variable that was a significant predictor of RRI. Runners in the highest tertile (PBF < -0.27 BW) were injured at 5.08 times the rate of those in the middle tertile and 7.98 times the rate of those in the lowest tertile. When analyzed in the multivariable model, no kinetic variables made a significant contribution to predicting injury beyond what had already been accounted for by PBF alone. Findings from this study suggest PBF is associated with a significantly higher injury hazard ratio in female recreational runners and should be considered as a target for gait retraining interventions.
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  biomechanics; gait analysis; impact loading; injury; running

Mesh:

Year:  2018        PMID: 29846979     DOI: 10.1111/sms.13228

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  18 in total

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4.  Vertical Loading Rate Is Not Associated with Running Injury, Regardless of Calculation Method.

Authors:  Elizabeth A Schmida; Christa M Wille; Mikel R Stiffler-Joachim; Stephanie A Kliethermes; Bryan C Heiderscheit
Journal:  Med Sci Sports Exerc       Date:  2022-03-22

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6.  Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach.

Authors:  Mohsen Gholami; Christopher Napier; Carlo Menon
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7.  Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning.

Authors:  Hyerim Lim; Bumjoon Kim; Sukyung Park
Journal:  Sensors (Basel)       Date:  2019-12-24       Impact factor: 3.576

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

Authors:  Pieter Van den Berghe; Valerio Lorenzoni; Rud Derie; Joren Six; Joeri Gerlo; Marc Leman; Dirk De Clercq
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

9.  Relationship between duty factor and external forces in slow recreational runners.

Authors:  Senne Bonnaerens; Pieter Fiers; Samuel Galle; Rud Derie; Peter Aerts; Edward Frederick; Yasunori Kaneko; Wim Derave; Dirk De Clercq; Veerle Segers
Journal:  BMJ Open Sport Exerc Med       Date:  2021-03-03

10.  Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum.

Authors:  Myunghyun Lee; Sukyung Park
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

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