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

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 regr...

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Bibliographic Details
Published in:Gait & posture 2006-04, Vol.23 (3), p.288-294
Main Authors: Stansfield, B.W., Hillman, S.J., Hazlewood, M.E., Robb, J.E.
Format: Article
Language:English
Subjects:
Biomechanical Phenomena
Child
Children
Female
Gait - physiology
Humans
Kinematics
Kinetics
Male
Regression
Regression Analysis
Signal Processing, Computer-Assisted
Walking
Walking - physiology
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Summary: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.
ISSN:0966-6362
1879-2219
DOI:10.1016/j.gaitpost.2005.03.005