Department of Global Public Health and Primary Care, University of Bergen, Norway.
Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Norway.
Gait Posture. 2020 Oct;82:220-226. doi: 10.1016/j.gaitpost.2020.09.009. Epub 2020 Sep 9.
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.
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.
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.
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.
由于时空步态参数受到身体大小的影响已有充分的文献记载,因此,如果不考虑身体大小,将个体得分与参考值进行比较,其临床价值有限。对于老年人,最近的报告已经提供了参考值,但不幸的是,没有考虑身体大小对步态特征的影响,也没有包括预测区间和百分位数。本研究旨在提出并评估一种模型,该模型可以将老年人的个体时空步态参数值与根据性别、年龄和身高调整的参考值进行比较。
参考步态数据来自 1464 名年龄在 69-80 岁之间、无任何被认为会影响步态的损伤的老年人,按性别分层,使用摆锤模型将身高调整为中间值,并将每个参数的年龄作为预测因子输入到简单回归模型中。从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。计算使用电子表格公式和方程完成。
在 Microsoft Excel®中开发了一个基于电子表格的图形用户界面(GUI),其中输入了个体时空步态数据,以便与参考数据进行比较,同时考虑性别、年龄和身高,并返回具有置信区间、预测区间和百分位数的预测点估计值。
将个体时空步态数据与参考数据进行比较的 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,这是第一个提出的用于比较个体和参考数据中老年人基本步态参数的模型,该模型考虑了性别、年龄和身高。