Which Tools Better Predict Fall Risk in Parkinson's Disease: A Comparative Study of Objective, Self-Reported, and Functional Balance Assessment

Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY

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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 40
Maximum Age: 80
Healthy Volunteers: f
View:

• Age between 40 and 80 years old

• Receiving stable dopaminergic treatment

• No other neurological disorders besides PD

• A Standardized Mini-Mental State Examination (MMSE) score \>24

• Hoehn and Yahr stage between 1-3

• Voluntarily agreed to participate in the study after receiving detailed information

Locations
Other Locations
Turkey
Bezmialem Vakif University
RECRUITING
Istanbul
Contact Information
Primary
Ayca Arslanturk-Yildirim, Msc
ayca.arslanturk@bezmialem.edu.tr
+905312891352
Backup
Senanur Duzenli, MSc
senanur.duzenli@bezmialem.edu.tr
+905079296680
Time Frame
Start Date: 2025-05-01
Estimated Completion Date: 2025-08-30
Participants
Target number of participants: 40
Treatments
Parkinson Disease Group
Participants diagnosed with Parkinson Disease by a neurologist
Related Therapeutic Areas
Sponsors
Leads: Bezmialem Vakif University

This content was sourced from clinicaltrials.gov