Regression analysis of gait parameters with speed in normal children walking at self-selected speeds.

B. W Stansfield, S. J Hillman, M. E Hazelwood, J E Robb

Research output: Contribution to journalArticlepeer-review

101 Citations (Scopus)

Abstract

Dimensionless analysis ensures that differences in sizes (e.g. height and weight) of children have a minimal influence on gait parameters. The results of changes in speed on gait parameters were examined using dimensionless analysis on data from a prospective 5-year study of 16 children. Linear regression analysis of peak and trough values of temporal distance parameters, ground reaction forces,joint angles, moments and powers provide a quantitative description of gait development with normalised speed. These linear relationships can be used to estimate gait parameters from speed measurements for normal subjects. However, caution is advised in using the data to attempt to predict an individual's gait parameters due to the wide spread of data about the regression lines and we do not recommend that the data be used to extrapolate the regression data to wider speed ranges. (c) 2005 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)288-294
Number of pages7
JournalGait and Posture
Volume23
DOIs
Publication statusPublished - Apr 2006

Keywords

  • walking
  • children
  • regression
  • kinematics
  • kinetics
  • AGE
  • KINEMATICS
  • PATTERNS

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