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Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis

Kinematics data are primary biomechanical parameters. A principal component analysis (PCA) of waveforms is a statistical approach used to explore patterns of variability in biomechanical curve datasets. Differences in experienced and recreational runners’ kinematic variables are still unclear. The p...

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Autores principales: Quan, Wenjing, Zhou, Huiyu, Xu, Datao, Li, Shudong, Baker, Julien S., Gu, Yaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544359/
https://www.ncbi.nlm.nih.gov/pubmed/34683001
http://dx.doi.org/10.3390/healthcare9101321
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author Quan, Wenjing
Zhou, Huiyu
Xu, Datao
Li, Shudong
Baker, Julien S.
Gu, Yaodong
author_facet Quan, Wenjing
Zhou, Huiyu
Xu, Datao
Li, Shudong
Baker, Julien S.
Gu, Yaodong
author_sort Quan, Wenjing
collection PubMed
description Kinematics data are primary biomechanical parameters. A principal component analysis (PCA) of waveforms is a statistical approach used to explore patterns of variability in biomechanical curve datasets. Differences in experienced and recreational runners’ kinematic variables are still unclear. The purpose of the present study was to compare any differences in kinematics parameters for competitive runners and recreational runners using principal component analysis in the sagittal plane, frontal plane and transverse plane. Forty male runners were divided into two groups: twenty competitive runners and twenty recreational runners. A Vicon Motion System (Vicon Metrics Ltd., Oxford, UK) captured three-dimensional kinematics data during running at 3.3 m/s. The principal component analysis was used to determine the dominating variation in this model. Then, the principal component scores retained the first three principal components and were analyzed using independent t-tests. The recreational runners were found to have a smaller dorsiflexion angle, initial dorsiflexion contact angle, ankle inversion, knee adduction, range motion in the frontal knee plane and hip frontal plane. The running kinematics data were influenced by running experience. The findings from the study provide a better understanding of the kinematics variables for competitive and recreational runners. Thus, these findings might have implications for reducing running injury and improving running performance.
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spelling pubmed-85443592021-10-26 Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis Quan, Wenjing Zhou, Huiyu Xu, Datao Li, Shudong Baker, Julien S. Gu, Yaodong Healthcare (Basel) Article Kinematics data are primary biomechanical parameters. A principal component analysis (PCA) of waveforms is a statistical approach used to explore patterns of variability in biomechanical curve datasets. Differences in experienced and recreational runners’ kinematic variables are still unclear. The purpose of the present study was to compare any differences in kinematics parameters for competitive runners and recreational runners using principal component analysis in the sagittal plane, frontal plane and transverse plane. Forty male runners were divided into two groups: twenty competitive runners and twenty recreational runners. A Vicon Motion System (Vicon Metrics Ltd., Oxford, UK) captured three-dimensional kinematics data during running at 3.3 m/s. The principal component analysis was used to determine the dominating variation in this model. Then, the principal component scores retained the first three principal components and were analyzed using independent t-tests. The recreational runners were found to have a smaller dorsiflexion angle, initial dorsiflexion contact angle, ankle inversion, knee adduction, range motion in the frontal knee plane and hip frontal plane. The running kinematics data were influenced by running experience. The findings from the study provide a better understanding of the kinematics variables for competitive and recreational runners. Thus, these findings might have implications for reducing running injury and improving running performance. MDPI 2021-10-03 /pmc/articles/PMC8544359/ /pubmed/34683001 http://dx.doi.org/10.3390/healthcare9101321 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Quan, Wenjing
Zhou, Huiyu
Xu, Datao
Li, Shudong
Baker, Julien S.
Gu, Yaodong
Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis
title Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis
title_full Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis
title_fullStr Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis
title_full_unstemmed Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis
title_short Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis
title_sort competitive and recreational running kinematics examined using principal components analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544359/
https://www.ncbi.nlm.nih.gov/pubmed/34683001
http://dx.doi.org/10.3390/healthcare9101321
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