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Updated: Feb 9, 2026
08:26
Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running
Published on: July 17, 2020
6.5K
Kinematic predictors of loading during running differ by demographic group
Kathryn Harrison1, Bhushan Thakkar1, Yong Ung Kwon2
1Virginia Commonwealth University, School of Allied Health Professions, Department of Physical Therapy, 1200 East Broad Street Box 980224, Richmond, VA, 23298-0224, USA; Virginia Commonwealth University, Department of Kinesiology and Health Sciences, 500Academic Center, 1020 West Grace St., Box 843021, Richmond, VA, 23284-2020, USA.
Summary
Running gait analysis differs by age and sex. Kinematic predictors of running kinetics vary across demographic groups, informing personalized clinical strategies for runners.
Area of Science:
- Biomechanics
- Sports Science
- Human Movement Analysis
Background:
- Kinematic predictors of running kinetics are established.
- Demographic variations in these predictors are not well understood.
Purpose of the Study:
- To determine if kinematic predictors of running kinetics differ between demographic groups (age and sex).
- To inform tailored gait analysis and intervention strategies for diverse runner populations.
Main Methods:
- Assessed sagittal plane kinematics and kinetics in young/older males/females running at preferred pace.
- Utilized linear regression to predict kinetics from kinematics within each demographic group.
Main Results:
- Step length and position showed consistent associations with kinetics across groups.
- Step frequency and center of mass (CoM) excursion associations varied by demographic.
- Foot angle and peak knee flexion importance differed significantly between groups, notably older females.
Conclusions:
- Demographic factors significantly influence the kinematic predictors of running kinetics.
- Personalized gait analysis parameters are crucial for effective clinical evaluation and intervention in runners.
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