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Updated: Jan 10, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
Published on: April 11, 2018
Subject-Specific Modeling of the Proximal Femur During Falls: Dual Importance of Impact Dynamics and Bone Morphology
Steven Pretty1,2, Marina Mourtzakis1,2, Andrew C Laing1,2
1Department of Kinesiology and Health Sciences, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.
Abstract:
Clinical risk factors for hip fracture can influence both fall-induced loading and underlying femur morphology/strength; however, these effects are generally studied in isolation. We evaluated the potential effects of fall-type, biological sex, and trochanteric soft tissue thickness (TSTT) on femoral neck stresses and fracture risk index during lateral impacts. Thirty-two young adults completed voluntary falls, representative of falls in older adults. Peak impact force magnitude, direction, and point of application were extracted and applied to subject-specific beam models generated from dual-energy X-ray absorptiometry (DXA) scans. Falls with loading vectors directed more perpendicular to the femoral shaft were associated with increased compressive stress in the superior-lateral cortex (a demonstrated site of fracture initiation). Despite 44.5% greater impact force among males, no sex-based differences in femoral neck stresses were observed. Low-TSTT participants experienced greater femoral neck stresses than high-TSTT participants despite no differences in impact force magnitude. These findings highlight the importance of considering underlying differences in narrow neck mechanical properties (which vary across sex and TSTT-groups) when assessing tissue-level loading. Consistent with clinical findings, increased TSTT was associated with reduced fracture risk index among females but not males. This study provides novel insights into the mechanistic pathways through which different fall-types, biological sex, and TSTT may modulate hip fracture risk. Coupling of experimental fall simulations with tissue-level models enabled a computationally efficient method to investigate hip fracture risk, which is sensitive to biological variability.

