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タイトル: | The relation between kinematic synergy to stabilize the center of mass during walking and future fall risks: a 1-year longitudinal study |
著者: | Yamagata, Momoko Tateuchi, Hiroshige ![]() ![]() ![]() Shimizu, Itsuroh Saeki, Junya ![]() ![]() Ichihashi, Noriaki ![]() ![]() ![]() |
著者名の別形: | 山縣, 桃子 建内, 宏重 佐伯, 純弥 市橋, 則明 |
キーワード: | Falls Aging Center of mass Segmental coordination Uncontrolled manifold |
発行日: | 2021 |
出版者: | BMC |
誌名: | BMC Geriatrics |
巻: | 21 |
論文番号: | 240 |
抄録: | BackgroundIncorrect body weight shifting is a frequent cause of falls, and the control of the whole-body center of mass (CoM) by segmental coordination is essential during walking. Uncontrolled manifold (UCM) analysis is a method of examining the relation between variance in segmental coordination and CoM stability. However, no prospective cohort study has thoroughly investigated how variance in segmental configurations to stabilize the CoM relates to future falls. This study explored whether variance to stabilize the CoM was related to future falls.MethodsAt the baseline visit, 30 community-dwelling older adults walked 20 times on a 6-m walkway. Using kinematic data collected during walking by a three-dimensional motion capture system, UCM analysis was performed to investigate how segmental configuration contributes to CoM stability in the frontal plane. One year after the baseline visit, we evaluated whether the subjects experienced falls. Twelve subjects had experienced falls, and 16 had not. Comparisons of variance between older adults with and without falls were conducted by covariate analysis.ResultsNo significant differences in variance were found in the mediolateral direction, whereas in the vertical direction, older adults with fall experiences had a greater variance, reflecting an unstable CoM, than those with no fall experiences.ConclusionsWe verified that the high variance in segmental configurations that destabilize the CoM in the vertical direction was related to future falls. The variables of UCM analysis can be useful for evaluating fall risk. |
著作権等: | © The Author(s). 2021 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. |
URI: | http://hdl.handle.net/2433/276795 |
DOI(出版社版): | 10.1186/s12877-021-02192-z |
PubMed ID: | 33849478 |
出現コレクション: | 学術雑誌掲載論文等 |

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