Introduction

Since it is well documented that spatiotemporal gait parameters are affected by body size, it is of limited clinical value to compare individual scores against reference values without taking body size into consideration. For older adults, reference values have been presented in recent reports, but unfortunately the effect of body size on gait characteristics was not taken into account and neither prediction intervals nor percentile ranks were included. It is the aim of this study to present and assess a model where individual spatiotemporal gait parameter values for older adults can be compared to reference values adjusted for gender, age, and body height.

Methods

Reference gait data were collected from l464 older adults aged 69–80 years with no impairments believed to affect gait, stratified by gender, intermediately adjusted to a common body height using a pendulum model and entered into a simple regression model for each parameter with age as predictor. From the regression coefficients predicted gait parameter values could be back transformed to the individual body height of a new subject. Calculations were done using spreadsheet formulae and equations.

Results

A spreadsheet based graphical user interface (GUI) has been developed in Microsoft Excel® where individual spatiotemporal gait data is entered for comparison with reference data taking gender, age and body height into account, and returning predicted point estimates with confidence intervals, prediction intervals, and percentile ranks.

Significance

A GUI solution where individual spatiotemporal gait data is compared to reference data is feasible to researchers and for clinical use. To the best of our knowledge, this is the first model presented for comparison of basic gait parameters between individuals and reference data from older adults where gender, age, and body height are taken into account.

中文翻译：

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老年人的时空步态参数-交互式模型，可针对性别，年龄和身高调整参考数据。

介绍

由于有充分的文献证明时空步态参数受体型影响，因此将个人评分与参考值进行比较而不考虑体型是有限的临床价值。对于老年人，最近的报告中已经提供了参考值，但是不幸的是，没有考虑体型对步态特征的影响，并且没有包括预测间隔和百分位等级。本研究的目的是提出和评估一个模型，在该模型中，可以将老年人的个人时空步态参数值与针对性别，年龄和身高进行调整的参考值进行比较。

方法

参考步态数据收集自1464个年龄在69-80岁之间的老年人，这些人没有被认为会影响步态的障碍，按性别分层，使用钟摆模型进行中间调整至相同的身高，并针对每个年龄参数输入一个简单的回归模型预测器。根据回归系数，可以将预测的步态参数值反变换为新受试者的个体身高。使用电子表格公式和方程式进行计算。

结果

在MicrosoftExcel®中开发了基于电子表格的图形用户界面（GUI），其中输入了各个时空步态数据，以便与参考数据进行比较，并考虑到性别，年龄和身高，并返回带有置信区间，预测区间，和百分位等级。

意义

比较个人时空步态数据与参考数据的GUI解决方案对于研究人员和临床应用都是可行的。据我们所知，这是首次提出的用于比较个体之间的基本步态参数和考虑性别，年龄和身高的老年人参考数据的模型。