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Related Experiment Video

Updated: Jun 17, 2026

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Published on: September 14, 2017

Running Gait Complexity During an Overground, Mass-Participation Five-Kilometre Run.

Ben Jones^1,2, Ben Heller¹, Linda van Gelder¹

¹Sport and Physical Activity Research Centre, Sheffield Hallam University, Olympic Legacy Park, 2 Old Hall Rd, Sheffield S9 3TY, UK.

Sensors (Basel, Switzerland)

|November 27, 2024

Summary

Running gait complexity, measured by detrended fluctuation analysis (DFA), decreases on downhill terrain but is unaffected by exercise duration. Interpret gait changes considering course elevation for health insights.

Keywords:

detrended fluctuation analysis (DFA)gait complexity gait variability gradient inertial measurement unit (IMU)overground running

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Last Updated: Jun 17, 2026

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Published on: September 14, 2017

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Published on: July 17, 2020

Influence of Step-Width Manipulation on Running Biomechanics

Influence of Step-Width Manipulation on Running Biomechanics

Published on: February 28, 2025

Area of Science:

Biomechanics
Human Locomotion
Physiological Adaptations

Background:

Human locomotion exhibits inherent variability, offering potential health insights.
Detrended Fluctuation Analysis (DFA) quantifies gait variability but is less studied in overground running.
Understanding gait complexity in uncontrolled environments is crucial for accurate health assessments.

Purpose of the Study:

To investigate changes in running gait complexity during uncontrolled overground running.
To assess the impact of varying gradients (uphill/downhill) and exercise duration on gait variability.
To apply DFA to stride time data from a mass-participation event.

Main Methods:

Sixty-eight participants' stride times were recorded using an inertial measurement unit during a 5km parkrun.
Data were analyzed across four intervals representing uphill and downhill sections of two laps.
Repeated-measures ANOVA compared stride time magnitude (SD) and structure (DFA-α) across conditions.

Main Results:

Stride times remained consistent throughout the run.
Gait complexity (DFA-α) significantly decreased during downhill running compared to uphill running (d = |0.39|).
Stride time variability (SD) was higher in the initial part of the run, but DFA-α was not affected by exercise duration.

Conclusions:

Running gradient significantly influences gait complexity, with downhill running showing reduced complexity.
Elapsed exercise duration did not alter gait complexity structure (DFA-α).
Interpreting gait complexity requires consideration of the running course's elevation profile to avoid misinterpreting health-related changes.