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

doi:10.1016/j.gaitpost.2005.03.005

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 journal › Article › peer-review

117 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.

Original language	English
Pages (from-to)	288-294
Number of pages	6
Journal	Gait and Posture
Volume	23
Issue number	3
DOIs	https://doi.org/10.1016/j.gaitpost.2005.03.005
Publication status	Published - 2006

Keywords

walking
children
regression
kinematics
kinetics
bioengineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.gaitpost.2005.03.005

Cite this

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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.",

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AU - Stansfield, B.W.

AU - Hillman, S.J.

AU - Hazelwood, M.E.

AU - Robb, J.E.

PY - 2006

Y1 - 2006

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AB - 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.

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KW - regression

KW - kinematics

KW - kinetics

KW - bioengineering

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DO - 10.1016/j.gaitpost.2005.03.005

M3 - Article

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JO - Gait and Posture

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ER -

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

Abstract

Keywords

UN SDGs

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