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Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
Published on: August 25, 2020
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Femur loading during gait in newly walking children.
Keyonna McKinsey1, Angela Thompson2, Gina Bertocci1
1Department of Bioengineering, University of Louisville, Louisville, KY, USA.
Journal of Biomechanics
|November 20, 2025
Summary
Researchers developed regression models to predict hip joint loading in newly walking children. These models, based on age, height, and walking speed, can aid in assessing fracture risk for children with bone fragility.
Area of Science:
- Pediatric biomechanics
- Orthopedic research
- Developmental kinesiology
Background:
- Femoral loading is critical for understanding pediatric fracture risk, especially in children with bone fragility.
- Early mobility stages present unique biomechanical challenges, yet femoral loading during this period is understudied.
- Accurate characterization of hip joint loading is essential for clinical assessments.
Purpose of the Study:
- To develop predictive regression models for hip joint loading in newly walking children.
- To quantify 3D hip joint reaction forces and moments during gait in this age group.
- To establish a foundation for subject-specific fracture risk prediction in pediatric populations.
Main Methods:
- Gait and kinetic analyses were performed on children aged 13-23 months.
- Three-dimensional hip joint reaction forces and moments were calculated during walking.
- Regression models were created using subject characteristics (age, height) and walking speed.
Main Results:
- Mean peak resultant hip force was 1.19 N/BW and mean peak resultant hip moment was 0.24 Nm/(BWxL).
- Predictive models achieved high accuracy, with R² values of 0.97 for hip force and 0.94 for hip moment.
- Models effectively correlated age, height, and walking speed with hip loading parameters.
Conclusions:
- Experimental determination of hip joint loading in newly walking children is now feasible.
- Developed regression models offer a non-invasive method for estimating pediatric hip loading.
- These models can be integrated into finite element analysis for personalized fracture risk assessment in children.
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