PURPOSE
Fatigue is a common problem in Parkinson's disease (PD), affecting 30~65% of patients with that diagnosis. Only recently has fatigue been recognized as an important clinical feature of PD. The aim of this study was to investigate the level of fatigue and related factors in patients with PD.
METHODS
Between March 1, and September, 30, 2010, a sample of 181 PD patients agreed to be interviewed.
RESULTS
The female patients' PFS (Parkinson Fatigue Scale) score was higher than those of the male patients. Household income and having a Job were significantly correlated with the PFS scores. Among the disease characteristics, motor fluctuations, dyskinesia and modified Hoehn and Yahr stage were significantly correlated with the PFS scores. On stepwise regression analysis, the most important factors related to the PFS scores were depression and sleep disturbance.
CONCLUSION
Fatigue in patients with PD was associated with many factors and strongly associated with depression and sleep disturbance. Fatigue is a multidimensional construct; therefore, multidimensional strategies for relieving specific aspects of fatigue are needed.

PURPOSE
The aim of this study was to investigate the level of resilience and related factors in patients with Parkinson's disease (PD) in Korea.
METHODS
Data were obtained from 148 patients using the Resilience Scale (RS), Beck's Depression Inventory (BDI), and Spielberger's Anxiety Inventory (AI).
RESULTS
The mean scores of the RS, BDI, and AI were 127.7+/-21.6, 12.9+/-9.3, and 41.9+/-11.1, respectively. The RS score was strongly correlated with the BDI score (r=-.531, p<.001) and the AI (r=-.572, p<.001). The resilience was significantly revealed by household income (F=4.002, p=.009) and presence of a hobby (t=-3.300, p=.001). In addition, resilience was significantly correlated with age of disease onset (r=.164, p=.046), years of living with PD (r=-.262, p=.001), and the length of treatment with levodopa (r=-.283, p<.001). From the stepwise multiple regression analysis, the most important factors related to the RS score were the AI score, household income, and length of treatment with levodopa.
CONCLUSION
Understanding these factors is essential for developing effective interventions to improve resilience in patients with PD.