proximal femoral fracture
Conditions
Interventions
None listed
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1. Patients hospitalized at Tums Sakura Hospital Edogawa after surgery for proximal femoral fracture 2. Patients able to perform one-handed parallel bar walking under supervision or higher level 3. Patients aged 70 years or older 4. Patients with an HDS-R score of 20 or higher who can understand the explanation and provide informed consent 5. Patients without apparent gait disturbances caused by neurological or musculoskeletal disorders based on medical history 6. Patients who have provided consent for participation in measurement
Exclusion criteria
Exclusion criteria: 1. Patients with cognitive decline or other conditions that prevent understanding of instructions (HDS-R score of 19 or lower) 2. Patients for whom the procedure is not feasible due to medical restrictions (e.g., bed rest or non-weight-bearing orders) 3. Patients who are already able to walk with a cane or independently under supervision at the time of admission 4. Patients who used a cane or had lower walking ability before the injury 5. Patients with apparent gait disturbances caused by neurological or musculoskeletal disorders based on medical history
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Dynamic loading parameters Maximum dynamic weight-bearing: the peak force applied to the ground during walking Loading rate (LR): an indicator of the body's ability to absorb impact during initial contact Loading impulse: the total force applied over the time the foot is in contact with the ground | — |
Secondary
| Measure | Time frame |
|---|---|
| Temporal parameters Gait speed Time to reach maximum load Stance time (left/right) Swing time (left/right) Double support time (left/right) Spatial parameters Stride length (left/right) Step width Step length (left/right) Weight-bearing parameter Static maximum weight-bearing on the affected side | — |
Countries
Japan
Contacts
International University of Health and Welfare Graduate School Department of assistive technological science