Age is just a number: Clustering gait and functional measures.

IF 2.4
Matthew Jd Taylor, Marnee J McKay, Joshua Burns, Jennifer Baldwin, Aleksandra V Birn-Jeffery
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引用次数: 0

Abstract

Objective: As we age, we walk slower, but it remains unclear whether this is consistent at an individual level. Current clinical assessment of function assumes movement deficits with older age, and clinical norms are linked to decades or specific age stratifications such as "old" or "oldest-old". Current approaches stratifying by age may hide trends of higher and lower functioning individuals within each age bracket. Therefore, our aim was to cluster spatiotemporal data, from the 1000 Norms Project, to understand if patterns of function could be identified without using age as a factor.

Methods: The 1000 Norms Project, a cross-sectional, observational study, collected gait, functional performance, and self-reported health data (participants (n = 695) aged 18-92 years). Spatiotemporal and functional data were clustered, after rendering the parameters dimensionless.

Results: Three clusters were identified (n = 277, 208, 210). Although age significantly differed between clusters, each showed a broad range (e.g. 20-92 years). Additionally, walking speed (Froude number) did not differ between clusters, often used to separate by age. Our clusters defined 3 groups, 'higher functioning', 'age average' and 'cautious gait', whose spatiotemporal, functional performance, strength and quality of life measures vastly differed, independent of walking speed and including a wide range of ages.

Conclusion: Our analysis suggests that age should not be used to separate individuals into groups, and that our assumption of "age matters" may not be relevant when determining true functional movement ability. Further work is needed to understand normal senescence, true negative loss, and reversible loss within these functionally different groups.

年龄只是一个数字:聚类步态和功能测量。
目的:随着年龄的增长,我们走路的速度会变慢,但目前还不清楚这在个人层面上是否一致。目前的临床功能评估假设老年人有运动缺陷,临床标准与几十年或特定年龄分层有关,如“老年”或“最老”。目前按年龄分层的方法可能会隐藏每个年龄组中功能较高和较低个体的趋势。因此,我们的目标是对来自1000个规范项目的时空数据进行聚类,以了解是否可以在不使用年龄作为因素的情况下识别功能模式。方法:1000规范项目是一项横断面观察性研究,收集步态、功能表现和自我报告的健康数据(参与者( = 695),年龄在18-92岁)。将参数进行无因次化处理后,对时空和功能数据进行聚类。结果:共鉴定出3个聚类(n = 277、208、210)。虽然年龄在集群之间存在显著差异,但每个集群的范围都很广(例如20-92岁)。此外,行走速度(弗劳德数)在集群之间没有差异,通常用于年龄划分。我们的研究集群定义了3组,“高功能”、“平均年龄”和“谨慎步态”,他们的时空、功能表现、力量和生活质量测量差异很大,独立于步行速度,包括广泛的年龄范围。结论:我们的分析表明,年龄不应该被用来将个体划分为不同的群体,我们“年龄重要”的假设在确定真正的功能性运动能力时可能不相关。需要进一步的工作来了解这些功能不同群体中的正常衰老,真正的负性损失和可逆损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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