Actively Recruiting
Which Tools Better Predict Fall Risk in Parkinson's Disease: A Comparative Study of Objective, Self-Reported, and Functional Balance Assessment
Led by Bezmialem Vakif University · Updated on 2025-08-29
40
Participants Needed
1
Research Sites
17 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Introduction: Falls are common in Parkinson's disease (PD), affecting 30-90% of patients annually, with more than half experiencing recurrent falls. Identifying balance assessment tools that are both practical and predictive of fall risk is therefore essential. This study aimed to investigate the relationship between fall frequency and three balance assessment tools: the Biodex Balance System (objective), the Falls Efficacy Scale-International (FES-I) (self-reported), and the Mini-Balance Evaluation Systems Test (Mini-BESTest) (functional). Methods: Patients with PD at Hoehn and Yahr stages 1-3 will be included in the study. Fall data will be collected using a fall diary, while objective balance will be assessed with the Biodex Balance System, functional performance will be evaluated with the Mini-BESTest, and self-reported balance confidence will be measured with the FES-I.
CONDITIONS
Official Title
Which Tools Better Predict Fall Risk in Parkinson's Disease: A Comparative Study of Objective, Self-Reported, and Functional Balance Assessment
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age between 40 and 80 years old
- Receiving stable dopaminergic treatment
- No other neurological disorders besides Parkinson's disease
- A Standardized Mini-Mental State Examination (MMSE) score >24
- Hoehn and Yahr stage between 1 and 3
- Voluntarily agreed to participate after receiving detailed information
You will not qualify if you...
- Visual, hearing, cardiovascular, or pulmonary impairments affecting study outcomes
- Severe mental or physical impairments hindering communication
- Clinically unstable condition within the past month
- Participation in a rehabilitation program within the last six months
AI-Screening
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Trial Site Locations
Total: 1 location
1
Bezmialem Vakif University
Istanbul, Eyup, Turkey (Türkiye)
Actively Recruiting
Research Team
A
Ayca Arslanturk-Yildirim, Msc
CONTACT
S
Senanur Duzenli, MSc
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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