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Kinematic characteristics during gait in frail older women identified by principal component analysis

Frailty is associated with gait variability in several quantitative parameters, including high stride time variability. However, the associations between joint kinematics during walking and increased gait variability with frailty remain unclear. In the current study, principal component analysis was...

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Autores principales: Tsuchida, Wakako, Kobayashi, Yoshiyuki, Inoue, Koh, Horie, Masanori, Yoshihara, Kumiko, Ooie, Toshihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803892/
https://www.ncbi.nlm.nih.gov/pubmed/35102162
http://dx.doi.org/10.1038/s41598-022-04801-2
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author Tsuchida, Wakako
Kobayashi, Yoshiyuki
Inoue, Koh
Horie, Masanori
Yoshihara, Kumiko
Ooie, Toshihiko
author_facet Tsuchida, Wakako
Kobayashi, Yoshiyuki
Inoue, Koh
Horie, Masanori
Yoshihara, Kumiko
Ooie, Toshihiko
author_sort Tsuchida, Wakako
collection PubMed
description Frailty is associated with gait variability in several quantitative parameters, including high stride time variability. However, the associations between joint kinematics during walking and increased gait variability with frailty remain unclear. In the current study, principal component analysis was used to identify the key joint kinematics characteristics of gait related to frailty. We analyzed whole kinematic waveforms during the entire gait cycle obtained from the pelvis and lower limb joint angle in 30 older women (frail/prefrail: 15 participants; non-frail: 15 participants). Principal component analysis was conducted using a 60 × 1224 input matrix constructed from participants’ time-normalized pelvic and lower-limb-joint angles along three axes (each leg of 30 participants, 51 time points, four angles, three axes, and two variables). Statistical analyses revealed that only principal component vectors 6 and 9 were related to frailty. Recombining the joint kinematics corresponding to these principal component vectors revealed that frail older women tended to exhibit greater variability of knee- and ankle-joint angles in the sagittal plane while walking compared with non-frail older women. We concluded that greater variability of knee- and ankle-joint angles in the sagittal plane are joint kinematic characteristics of gait related to frailty.
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spelling pubmed-88038922022-02-01 Kinematic characteristics during gait in frail older women identified by principal component analysis Tsuchida, Wakako Kobayashi, Yoshiyuki Inoue, Koh Horie, Masanori Yoshihara, Kumiko Ooie, Toshihiko Sci Rep Article Frailty is associated with gait variability in several quantitative parameters, including high stride time variability. However, the associations between joint kinematics during walking and increased gait variability with frailty remain unclear. In the current study, principal component analysis was used to identify the key joint kinematics characteristics of gait related to frailty. We analyzed whole kinematic waveforms during the entire gait cycle obtained from the pelvis and lower limb joint angle in 30 older women (frail/prefrail: 15 participants; non-frail: 15 participants). Principal component analysis was conducted using a 60 × 1224 input matrix constructed from participants’ time-normalized pelvic and lower-limb-joint angles along three axes (each leg of 30 participants, 51 time points, four angles, three axes, and two variables). Statistical analyses revealed that only principal component vectors 6 and 9 were related to frailty. Recombining the joint kinematics corresponding to these principal component vectors revealed that frail older women tended to exhibit greater variability of knee- and ankle-joint angles in the sagittal plane while walking compared with non-frail older women. We concluded that greater variability of knee- and ankle-joint angles in the sagittal plane are joint kinematic characteristics of gait related to frailty. Nature Publishing Group UK 2022-01-31 /pmc/articles/PMC8803892/ /pubmed/35102162 http://dx.doi.org/10.1038/s41598-022-04801-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Tsuchida, Wakako
Kobayashi, Yoshiyuki
Inoue, Koh
Horie, Masanori
Yoshihara, Kumiko
Ooie, Toshihiko
Kinematic characteristics during gait in frail older women identified by principal component analysis
title Kinematic characteristics during gait in frail older women identified by principal component analysis
title_full Kinematic characteristics during gait in frail older women identified by principal component analysis
title_fullStr Kinematic characteristics during gait in frail older women identified by principal component analysis
title_full_unstemmed Kinematic characteristics during gait in frail older women identified by principal component analysis
title_short Kinematic characteristics during gait in frail older women identified by principal component analysis
title_sort kinematic characteristics during gait in frail older women identified by principal component analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803892/
https://www.ncbi.nlm.nih.gov/pubmed/35102162
http://dx.doi.org/10.1038/s41598-022-04801-2
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