Regression Analysis of Walking Parameters for the Age-Predictive Equation

Abstract

We tried to establish an age-predictive equation from kinematic and kinetic parameters during walking using the 2007 Okada database of Japanese elderly. Some predictive equations were established for each gender (109 males and 139 females)—once for all variables, second for the stepwise variable selection method. The range of motion (ROM) of knee and hip and step length are the stable parameters in age-predictive models for both genders. Although the model achieved the Minimum Akaike's Information Criterion Estimate (MAICE), it did not reflect sufficiently the regimes of variable selection.