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dc.contributor.authorAngkoon Phinyomark
dc.contributor.authorBlayne A Hettinga
dc.contributor.authorSean T Osis
dc.contributor.authorReed Ferber
dc.date.accessioned2019-10-24T08:39:31Z
dc.date.available2019-10-24T08:39:31Z
dc.date.created2017-02-28 00:10
dc.identifieroai:doaj.org/article:c1116bbee03a414798886ef968ce7de4
dc.identifier10.1371/journal.pone.0105246
dc.identifier1932-6203
dc.identifierhttps://doaj.org/article/c1116bbee03a414798886ef968ce7de4
dc.identifier.urihttp://hdl.handle.net/20.500.12424/915433
dc.description.abstractFemale runners have a two-fold risk of sustaining certain running-related injuries as compared to their male counterparts. Thus, a comprehensive understanding of the sex-related differences in running kinematics is necessary. However, previous studies have either used discrete time point variables and inferential statistics and/or relatively small subject numbers. Therefore, the first purpose of this study was to use a principal component analysis (PCA) method along with a support vector machine (SVM) classifier to examine the differences in running gait kinematics between female and male runners across a large sample of the running population as well as between two age-specific sub-groups. Bilateral 3-dimensional lower extremity gait kinematic data were collected during treadmill running. Data were analysed on the complete sample (n = 483: female 263, male 220), a younger subject group (n = 56), and an older subject group (n = 51). The PC scores were first sorted by the percentage of variance explained and we also employed a novel approach wherein PCs were sorted based on between-gender statistical effect sizes. An SVM was used to determine if the sex and age conditions were separable and classifiable based on the PCA. Forty PCs explained 84.74% of the variance in the data and an SVM classification accuracy of 86.34% was found between female and male runners. Classification accuracies between genders for younger subjects were higher than a subgroup of older runners. The observed interactions between age and gender suggest these factors must be considered together when trying to create homogenous sub-groups for research purposes.
dc.languageEN
dc.publisherPublic Library of Science (PLoS)
dc.relation.ispartofhttp://europepmc.org/articles/PMC4138160?pdf=render
dc.relation.ispartofhttps://doaj.org/toc/1932-6203
dc.rightsCC BY
dc.sourcePLoS ONE, Vol 9, Iss 8, p e105246 (2014)
dc.subjectMedicine
dc.subjectR
dc.subjectScience
dc.subjectQ
dc.titleGender and age-related differences in bilateral lower extremity mechanics during treadmill running.
dc.typeArticle
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ge.identifier.legacyglobethics:10528164
ge.identifier.permalinkhttps://www.globethics.net/gtl/10528164
ge.lastmodificationdate2017-02-28 00:10
ge.lastmodificationuseradmin@pointsoftware.ch (import)
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ge.oai.repositoryid52
ge.oai.setnameLCC:Medicine
ge.oai.setnameLCC:Science
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ge.linkhttps://doaj.org/article/c1116bbee03a414798886ef968ce7de4


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