Literature DB >> 33566828

The effect of changing foot progression angle using real-time visual feedback on rearfoot eversion during running.

Seyed Hamed Mousavi1,2,3, Laurens van Kouwenhove1, Reza Rajabi2, Johannes Zwerver3,4, Juha M Hijmans1.   

Abstract

Atypical rearfoot in/eversion may be an important risk factor for running-related injuries. Prominent interventions for atypical rearfoot eversion include foot orthoses, footwear, and taping but a modification derived from gait retraining to correct atypical rearfoot in/eversion is lacking. We aimed to investigate changes in rearfoot in/eversion, subtalar pronation, medial longitudinal arch angle, and selected lower limb joint biomechanics while performing toe-in/toe-out running using real-time visual feedback. Fifteen female runners participated in this study. Subjects performed toe-in/toe-out running using real-time visual feedback on foot progression angle, which was set ±5° from habitual foot progression angle. 3D kinematics of rearfoot in/eversion, subtalar supination/pronation, medial longitudinal arch angle, foot progression angle, hip flexion, ab/adduction and internal/external rotation, knee flexion, ankle dorsiflexion, and ankle power were analyzed. A repeated-measures ANOVA followed by pairwise comparisons was used to analyze changes between three conditions. Toe-in running compared to normal and toe-out running reduced peak rearfoot eversion (mean difference (MD) with normal = 2.1°; p<0.001, MD with toe-out = 3.5°; p<0.001), peak pronation (MD with normal = -2.0°; p<0.001, MD with toe-out = -3.4; p = <0.001), and peak medial longitudinal arch angle (MD with normal = -0.7°; p = 0.022, MD with toe-out = -0.9; p = 0.005). Toe-out running significantly increased these kinematic factors compared to normal and toe-in running. Toe-in running compared to normal running increased peak hip internal rotation (MD = 2.3; p<0.001), and reduced peak knee flexion (MD = 1.3; p = 0.014). Toe-out running compared to normal running reduced peak hip internal rotation (MD = 2.5; p<0.001), peak hip ab/adduction (MD = 2.5; p<0.001), peak knee flexion (MD = 1.5; p = 0.003), peak ankle dorsiflexion (MD = 1.6; p<0.001), and peak ankle power (MD = 1.3; p = 0.001). Runners were able to change their foot progression angle when receiving real-time visual feedback for foot progression angle. Toe-in/toe-out running altered rearfoot kinematics and medial longitudinal arch angle, therefore supporting the potential value of gait retraining focused on foot progression angle using real-time visual feedback when atypical rearfoot in/eversion needs to be modified. It should be considered that changes in foot progression angle when running is accompanied by changes in lower limb joint biomechanics.

Entities:  

Mesh:

Year:  2021        PMID: 33566828      PMCID: PMC7875396          DOI: 10.1371/journal.pone.0246425

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  53 in total

1.  ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion--part I: ankle, hip, and spine. International Society of Biomechanics.

Authors:  Ge Wu; Sorin Siegler; Paul Allard; Chris Kirtley; Alberto Leardini; Dieter Rosenbaum; Mike Whittle; Darryl D D'Lima; Luca Cristofolini; Hartmut Witte; Oskar Schmid; Ian Stokes
Journal:  J Biomech       Date:  2002-04       Impact factor: 2.712

2.  The midtarsal joint locking mechanism.

Authors:  C Brian Blackwood; Tracy J Yuen; Bruce J Sangeorzan; William R Ledoux
Journal:  Foot Ankle Int       Date:  2005-12       Impact factor: 2.827

3.  Subject-specific toe-in or toe-out gait modifications reduce the larger knee adduction moment peak more than a non-personalized approach.

Authors:  Scott D Uhlrich; Amy Silder; Gary S Beaupre; Peter B Shull; Scott L Delp
Journal:  J Biomech       Date:  2017-11-08       Impact factor: 2.712

4.  Arch index and running biomechanics in children aged 10-14 years.

Authors:  Karsten Hollander; Julie Stebbins; Inke Marie Albertsen; Daniel Hamacher; Kornelia Babin; Claudia Hacke; Astrid Zech
Journal:  Gait Posture       Date:  2018-03-20       Impact factor: 2.840

5.  Validation of a smart shoe for estimating foot progression angle during walking gait.

Authors:  Haisheng Xia; Junkai Xu; Jianren Wang; Michael A Hunt; Peter B Shull
Journal:  J Biomech       Date:  2017-07-25       Impact factor: 2.712

6.  Gait Retraining for the Reduction of Injury Occurrence in Novice Distance Runners: 1-Year Follow-up of a Randomized Controlled Trial.

Authors:  Zoe Y S Chan; Janet H Zhang; Ivan P H Au; Winko W An; Gary L K Shum; Gabriel Y F Ng; Roy T H Cheung
Journal:  Am J Sports Med       Date:  2017-10-24       Impact factor: 6.202

7.  Hip rotation angle is associated with frontal plane knee joint mechanics during running.

Authors:  Masanori Sakaguchi; Norifumi Shimizu; Toshimasa Yanai; Darren J Stefanyshyn; Yasuo Kawakami
Journal:  Gait Posture       Date:  2014-12-26       Impact factor: 2.840

8.  The effect of excessive subtalar joint pronation on patellofemoral mechanics: a theoretical model.

Authors:  D Tiberio
Journal:  J Orthop Sports Phys Ther       Date:  1987       Impact factor: 4.751

9.  Selected static foot assessments do not predict medial longitudinal arch motion during running.

Authors:  Ben Langley; Mary Cramp; Stewart C Morrison
Journal:  J Foot Ankle Res       Date:  2015-10-12       Impact factor: 2.303

Review 10.  Biomechanical risk factors associated with iliotibial band syndrome in runners: a systematic review.

Authors:  Jodi Aderem; Quinette A Louw
Journal:  BMC Musculoskelet Disord       Date:  2015-11-16       Impact factor: 2.362

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  2 in total

1.  Study of the Distortion of the Indirect Angular Measurements of the Calcaneus Due to Perspective: In Vitro Testing.

Authors:  Isidoro Espinosa-Moyano; María Reina-Bueno; Inmaculada C Palomo-Toucedo; José Rafael González-López; José Manuel Castillo-López; Gabriel Domínguez-Maldonado
Journal:  Sensors (Basel)       Date:  2021-04-07       Impact factor: 3.576

2.  A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images.

Authors:  Peter Ardhianto; Raden Bagus Reinaldy Subiakto; Chih-Yang Lin; Yih-Kuen Jan; Ben-Yi Liau; Jen-Yung Tsai; Veit Babak Hamun Akbari; Chi-Wen Lung
Journal:  Sensors (Basel)       Date:  2022-04-05       Impact factor: 3.576

  2 in total

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