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Updated: Mar 25, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Gait patterns in children with Developmental Coordination Disorder.

K Wilmut¹, W Du², A L Barnett²

¹Perception and Motion Analysis Lab, Oxford Brookes University, Oxford, UK. k.wilmut@brookes.ac.uk.

Experimental Brain Research

|February 17, 2016

Summary

This summary is machine-generated.

Children with Developmental Coordination Disorder (DCD) exhibit distinct gait patterns, including wider steps and increased movement variability. These differences in gait control may explain the higher rates of trips and falls observed in children with DCD.

Keywords:

Centre of mass Children Developmental Coordination Disorder Gait Movement variability

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Last Updated: Mar 25, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

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Published on: March 4, 2018

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Published on: January 15, 2016

Area of Science:

Pediatrics
Neuroscience
Biomechanics

Background:

Adults with Developmental Coordination Disorder (DCD) demonstrate altered gait, specifically in foot placement and center of mass (CoM) control.
Understanding gait patterns in children with DCD is crucial for addressing motor challenges and fall risks.

Purpose of the Study:

To investigate and compare the gait characteristics of young and older children with DCD.
To identify age-related differences in gait variability within the DCD population.

Main Methods:

Motion analysis was used to record the gait patterns of young children with DCD (7-12 years), older children with DCD (12-17 years), and typically developing controls.
Participants walked along a 10-m pathway, with detailed kinematic data of foot and trunk movement collected.

Main Results:

Children with DCD exhibited wider steps, increased variability in double support time and stride time, and greater medio-lateral velocity and acceleration compared to controls.
Younger children with DCD showed greater variability in medio-lateral acceleration and overall velocity/acceleration across all directions than older children with DCD.
Elevated variability in CoM control is suggested as a potential factor contributing to falls in children with DCD.

Conclusions:

Gait in children with DCD is characterized by specific kinematic differences, including increased variability and altered movement patterns.
Age-related differences exist in gait control among children with DCD, with younger children displaying more pronounced variability.
The findings suggest that impaired control of the center of mass during gait may underlie the increased propensity for trips and falls in children with DCD.