Estimating severity of sideways fall using a generic multi linear regression model based on kinematic input...

Area of Science:

• Biomechanics
• Injury Prevention
• Human Movement Analysis

Background:

• Hip fractures are a significant concern, often resulting from falls.
• Understanding fall impact mechanics is crucial for developing effective prevention strategies.
• Current methods for measuring impact forces, like force plates, have limitations in experimental settings.

Purpose of the Study:

• To develop a generic model for estimating hip impact forces during in vivo sideways falls.
• To enable the assessment of fall severity without the need for force plates.
• To utilize subject-specific and kinematic variables for predicting impact forces.

Main Methods:

• Twelve experienced judokas performed sideways falls (Martial Arts and Block) on a force plate.
• Data were collected to determine hip impact force and derive 11 selected variables.
• A stepwise regression procedure was used to build a predictive model based on falls from kneeling height.

Main Results:

• A final model incorporating maximum upper body deceleration, body mass, shoulder angle, and maximum hip deceleration was established.
• Estimated and measured hip impact forces showed a linear relationship, with explained variances from 46% to 63%.
• The model accurately estimated hip impact forces for Martial Arts falls from a standing position, comparable to measured values.

Conclusions:

• A generic linear regression model can effectively estimate hip impact forces during sideways falls.
• Kinematic measures provide a viable alternative to force plates for assessing fall severity.
• This model facilitates broader research into fall mechanics and injury prevention without specialized equipment.