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Factors Predicting Falls in Parkinson's Disease: Investigation of Motor, Non-motor Findings and Different Dual Task Activities [Turk J Neurol]
Turk J Neurol. Ahead of Print: TJN-71235

Factors Predicting Falls in Parkinson's Disease: Investigation of Motor, Non-motor Findings and Different Dual Task Activities

zeynep tufekcioglu1, Burcu Ersöz Hüseyinsinoğlu2, Emrah ZİREK3, basar Bilgic4, Hakan Gürvit4, Hasmet Hanagasi4
1Istanbul Aydın University, Department of Neurology, Istanbul
2Istanbul University-Cerrahpasa, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Istanbul
3Bingol University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Bingol
4Istanbul University, Istanbul Faculty of Medicine, Department of Neurology, Behavioral Neurology and Movement Disorders Unit, Istanbul

Objective: The purpuse of this study was intended to identify the predictors of future falls in early-to-moderate Parkinson’ s Disease (PD) without cognitive impairment. We evaluated motor findings, non-motor findings and different cognitive dual tasks as memory, attention and executive functions added to the ten-meter walking test (10MWT) which has been used to measure the walking speed in PD.
Materials and Methods: A total of 62 subjects were evaluated in terms of eligibility to study. Thirty-six PD patients who met the inclusion criteria were included in the study. Demographic characteristics were identified and clinical findings were examined. Motor and non-motor findings were evaluated with the Turkish version of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS-TR). The walking speed was measured with 10MWT as single task and with different cognitive domains added to 10MWT as cognitive dual task activities. After the initial evaluation, a history of future falls within six months was recorded.
Results: The previous history of falls, high scores of MDS-UPDRS 1.A, MDS-UPDRS 1.B and MDS-UPDRS 2, walking speed under single task (10MWT) and different cognitive (memory, Digit Span-forwards, Digit Span-backwards and serial 7s) dual tasks were significantly different in terms of the future falls within six months (p <0.05). According to the results of multiple logistic regression analysis using these variables, it was observed that the increase in 10MWT speed decreased the risk of future falls 0.76 times and the increase in MDS-UPDS 1.B score increased the risk of future falls 2.06 times.
Conclusion: In our study, which the known risk factors associated with falls in Parkinson's disease were examined together, the risk of falls in early-to-moderate PD patients without cognitive impairment was found to be predicted by gait speed and the MDS-UPDRS 1.B score which non-motor findings like sleep disorder, sensory problems and autonomic dysfunction.

Keywords: Falls, Parkinson’s Disease, non-motor, dual task.




Corresponding Author: zeynep tufekcioglu, Türkiye


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