Related Experiment Video
Updated: May 27, 2026

10:52
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
Published on: April 13, 2016
Walking stride rate patterns in children and youth
Kristie F Bjornson1, Kit Song, Chuan Zhou
1Seattle Children's Research Institute, Seattle, Washington 98145, USA. kristie.bjornson@seattlechildrens.org
Summary
This study reveals how walking activity patterns change with age in typically developing youth. These patterns, including peak stride rates, differ significantly in youth with cerebral palsy (CP) and arthrogryposis (AR).
Area of Science:
- Pediatric gait analysis
- Biomechanical studies of locomotion
- Developmental pediatrics
Background:
- Understanding typical walking patterns is crucial for identifying deviations.
- Previous research often lacks real-world, daily activity data.
- Novel analysis of stride data can provide deeper insights into pediatric locomotion.
Purpose of the Study:
- To characterize walking activity patterns in typically developing (TD) youth using novel stride data analysis.
- To compare these patterns with those observed in youth with cerebral palsy (CP) and arthrogryposis (AR).
Main Methods:
- Utilized StepWatch data collected over 5 days for 428 typically developing youth aged 2 to 16 years.
- Developed stride rate curves to analyze walking activity patterns.
- Examined changes in stride rate patterns and inactivity levels with age.
Main Results:
- Stride rate patterns demonstrated age-dependent changes in typically developing youth (P = .03 to < .001).
- Inactivity varied significantly with age (P < .001), and peak stride rate decreased with age (P < .001).
- Youth with CP and AR exhibited significantly lower stride rate patterns compared to TD youth (P = .04 to .001).
Conclusions:
- This study provides the first documentation of pediatric stride-rate patterns in daily life.
- The developed visual format, incorporating peak stride rates and walking activity levels, shows potential for clinical and research applications.
- Findings highlight distinct gait characteristics in youth with CP and AR, suggesting targeted interventions.

