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基于步态参数的幼儿步态发育年龄的可估计性研究。

Estimability study on the age of toddlers' gait development based on gait parameters.

机构信息

Tokyo Research Laboratories, Kao Corporation, 2-1-3 Bunka, Sumida-Ku, Tokyo, 131-8501, Japan.

Graduate School of Health and Sports Science, Juntendo University, 1-1 Hirakagakuendai, Inzai, Chiba, 270-1695, Japan.

出版信息

Sci Rep. 2023 Feb 20;13(1):2958. doi: 10.1038/s41598-023-30039-7.

Abstract

In the first few years of toddlers' locomotion, various gait parameters improve gradually and dynamically with gait development. Therefore, in this study, we hypothesized that the age of gait development, or the level of gait development with age as its indicator, can be estimated from several gait parameters related to gait development, and investigated its estimability. In total, 97 healthy toddlers aged about 1-3 years participated in the study. All five selected gait parameters showed a moderate or higher correlation with age, but the duration with a large change and the strength of the association with gait development varied for each gait parameter. Multiple regression analysis was performed using age as the objective variable and five selected gait parameters as explanatory variables, and an estimation model (R = 0.683, adjusted R = 0.665) was created. The estimation model was verified using a test dataset separate from the training dataset (R = 0.82, p < 0.001). It was suggested that the age of gait development could be estimated from gait alone. Gait analysis based on empirical observations may reduce the need for skilled observers and their potential variability.

摘要

在幼儿学步的最初几年,各种步态参数随着步态的发展逐渐动态地改善。因此,本研究假设可以根据与步态发展相关的几个步态参数来估计步态发展的年龄或其随年龄变化的程度,并对其可估计性进行研究。共有 97 名年龄约为 1-3 岁的健康幼儿参与了本研究。所有五个选定的步态参数与年龄都显示出中度或更高的相关性,但每个步态参数的变化幅度和与步态发展的关联强度都不同。使用年龄作为目标变量,五个选定的步态参数作为解释变量进行多元回归分析,建立了一个估计模型(R=0.683,调整 R=0.665)。使用与训练数据集分开的测试数据集对估计模型进行了验证(R=0.82,p<0.001)。结果表明,步态发展的年龄可以通过步态本身来估计。基于经验观察的步态分析可能减少对熟练观察者及其潜在变异性的需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fef3/9941512/3de789dd9a16/41598_2023_30039_Fig1_HTML.jpg

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