Boer, M. de (2022) Predictors of Mental and Physical Fatigue in Parkinson's Disease. Master thesis, Psychology.
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Predictors of Mental and Physical Fatigue in Parkinson_MB_3387267_final.pdf Download (426kB) | Preview |
Abstract
Parkinson’s Disease (PD) is a common neurodegenerative disease. Fatigue is one of the most debilitating non-motor symptoms of PD and is associated with other symptoms related to PD. Fatigue consists of different aspects, including mental fatigue and physical fatigue. Because fatigue has been assessed differentially in prior studies, there are conflicting findings concerning the association between fatigue and other PD-related symptoms. Therefore, the current study used the Dutch Multifactor Fatigue Scale, a fatigue scale which assesses different aspects of fatigue. Current research questions are: ‘Which factors of fatigue are increased in de novo PD patients compared to the healthy control group?’ and: ‘What are predictive factors of mental and physical fatigue in the early phase of PD?’ First, fatigue levels of 155 de novo, drug-naïve PD patients were compared with 106 healthy controls. Additionally, the predictive value of apathy, anxiety, depression, cognitive function, and motor function on mental and physical fatigue is examined through a multiple linear regression analysis. It was found that PD patients experience more mental and physical fatigue compared to the HC group. Additionally, it was found that anxiety is predictive for mental fatigue (R2 = 0.205, p <.001), whereas anxiety, apathy, and depression are predictive for physical fatigue (R2 = 0.327, p <.001). By dividing fatigue into different subscales, this study provided additional information on the role of fatigue in de novo PD patients. Future research could focus on treatment of anxiety, depression, and apathy to reduce fatigue among PD patients.
| Item Type: | Thesis (Master) |
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| Supervisor name: | Spikman, J.M. |
| Degree programme: | Psychology |
| Differentiation route: | Clinical Neuropsychology (CN) [Master Psychology] |
| Date Deposited: | 31 Oct 2022 15:20 |
| Last Modified: | 31 Oct 2022 15:20 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/1464 |
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