Longitudinal Analysis of Gait Variability to Predict Falls in Parkinson's Disease

Stopped early · Not applicable

Conditions studied: Parkinson Disease, Healthy Aging

In brief

The broad goal of this research project is to improve the prediction of falls in patients with Parkinson's disease (PD) through a comprehensive multidisciplinary approach that includes longitudinal measurements of walking, cognitive and functional performances. PD is a life-changing disorders affecting one million Americans, with more than 60,000 new cases reported every year. Within 3 years of diagnosis, more than 85% of people with clinically probable PD develop gait problems, which in turn lead to falls resulting in serious injury and reduced quality of life. There is a pressing need to identify fall risk factors before the occurrence of the first fall, and to better understand behavioral and cognitive changes leading to falls in PD patients.

Key facts

Study ID

NCT04339543

Run by

University of Nebraska

People needed

23

Starts

2020-02-28

Expected to finish

2022-02-15

Last updated by the study team

2024-09-05

Who can join

Age: 60 and older, up to 90. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Able to provide written informed consent
• 60 years or older
• Able to walk 10 min uninterrupted without assistance
• for PD group only: must have a confirmed diagnosis by a trained clinician of idiopathic PD

You may not qualify if…

• other known neurological, orthopedic or cardiothoracic conditions that could interfere with gait and cognitive assessment.
• surgery affecting gait and balance within 6 months prior to baseline session.

Where it is running

• University of Nebraska at Omaha — Omaha, Nebraska, United States

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.