Aiswarya Anilkumar1*, M Bagwandsas2 and Geetha Veliah3
1Senior Research Associate, Indian Institute of Public Health, Hyderabad, India
2Professor, Head and Professor of Statistics, SRM Institute of Science and Technology, Chennai, India
3Assistant Professor, MSc Health Education and Community Health Promotion, SRM School of Public Health, SRM Institute of Science and Technology, Chennai, India
*Corresponding Author: Aiswarya Anilkumar, Senior Research Associate, Indian Institute of Public Health, Hyderabad, India.
Received: July 23, 2020; Published: August 18, 2020
Background: The cross-sectional study aimed to identify the risk factors that lead to fall among patients with Parkinson’s disease, assess the stage of severity; its contribution to fall, and also predict fall among the patients.
Methods: 94 patients diagnosed with Parkinson’s disease were included using non-probability convenience sampling. A semi-structured questionnaire was employed to understand the demographic data, risk factors, disease severity, balance, and level of functioning using the Hoehn and Yahr scale, Berg Balance scale and Activities-Specific Balance Confidence scale respectively. Regression analysis was performed to identify the risk factors that lead to fall. A logistic regression analysis was performed to predict fall and Multivariate Analysis of Variance was employed to understand the difference in scores concerning the different stages of severity.
Results: The regression model showed that the Activities-Specific Balance Confidence score and severity of disease are the strongest contributing risk factors of fall among the participants (p < 0.001). Using Multivariate Analysis of Variance we conclude that there is a significant difference in the average mean Activities-Specific Balance Confidence score from 52.45 to 28.57 when patient proceeds to stage 3 (mild to moderate bilateral disease) from stage 2.5 (mild bilateral disease with recovery on pull test) according to the Hoehn and Yahr staging. Activities- Specific Balance Confidence score which in turn implies the level of functioning was found to be the variable used for prediction of fall.
Conclusion: An effective awareness regarding the stage transition where there is a high risk of fall needs to be understood. The Activities-Specific Balance Confidence score helps us predict the risk of fall among patients.
Keywords: Parkinson's disease (India); Fall Prediction; ABC Scale; Berg Balance Score; Hoehn and Yahr Scale; MANOVA; Disease Severity; Regression
Citation: Aiswarya Anilkumar., et al. “Prediction of Fall among Patients with Parkinson’s Disease: A Cross-Sectional Study, India". Acta Scientific Medical Sciences 4.9 (2020): 18-25.
Copyright: © 2020 Aiswarya Anilkumar., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.