Department of Neurology & Institute of Neurology Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China.
Department of Neurology First Affiliated Hospital of China Medical University Shenyang China.
Brain Behav. 2017 May 2;7(6):e00712. doi: 10.1002/brb3.712. eCollection 2017 Jun.
Fatigue is a common nonmotor symptom in Parkinson's disease (PD); however, the Parkinson's disease fatigue scale (PFS), which is designed to measure fatigue in PD, has not been validated in China. The aim of this study was to determine the validity and reliability of the Chinese version of the PFS in PD patients.
A total of 115 PD patients were evaluated at baseline and after 7 days. Assessments included the PFS, the Fatigue Severity Scale (FSS), and scales assessing motor, cognition, depression, and anxiety. Acceptability was assessed in terms of the rate of missing data and floor and ceiling effects. Cronbach's alpha was calculated to determine internal consistency. Test-retest reliability was assessed using the intraclass correlation coefficient (ICC). Spearman's rank correlation coefficients were used to calculate convergent and divergent validity between PFS scores and scales assessing clinical characteristics.
No data were missing for the PFS. Compared with the original scoring method, the binary scoring method had relatively large floor effects (5.21% vs. 17.39%) and ceiling effects (0.90% vs. 4.31%). The internal consistency and test-retest reliability of the PFS were satisfactory (original scoring method: Cronbach's alpha = 0.97, ICC = 0.94; binary scoring method: Cronbach's alpha = 0.94, ICC = 0.94). The PFS score exhibited strong convergent validity with FSS score (correlation coefficient = 0.87). PFS score was weakly to moderately correlated with disease duration and with measures of disease stage, motor function, depression, and anxiety (range of correlation coefficients: 0.25-0.48). There was no significant correlation between PFS score and either onset age or MoCA score (range of correlation coefficients: -0.05 to 0.12).
The Chinese version of the PFS is a valid measure for assessing fatigue in PD.
疲劳是帕金森病（PD）的常见非运动症状；然而，旨在衡量 PD 患者疲劳的帕金森病疲劳量表（PFS）尚未在中国得到验证。本研究旨在确定中文版 PFS 在 PD 患者中的有效性和可靠性。
共有 115 名 PD 患者在基线和 7 天后接受评估。评估包括 PFS、疲劳严重程度量表（FSS）以及评估运动、认知、抑郁和焦虑的量表。可接受性通过缺失数据率以及地板和天花板效应来评估。Cronbach's alpha 用于确定内部一致性。使用组内相关系数（ICC）评估测试-重测信度。Spearman 秩相关系数用于计算 PFS 评分与评估临床特征的量表之间的收敛和发散有效性。
PFS 无数据缺失。与原始评分方法相比，二分评分法的地板效应较大（5.21%对 17.39%），天花板效应较大（0.90%对 4.31%）。PFS 的内部一致性和测试-重测信度良好（原始评分法：Cronbach's alpha=0.97，ICC=0.94；二分评分法：Cronbach's alpha=0.94，ICC=0.94）。PFS 评分与 FSS 评分具有很强的收敛有效性（相关系数=0.87）。PFS 评分与疾病持续时间以及疾病分期、运动功能、抑郁和焦虑的测量值呈弱至中度相关（相关系数范围：0.25-0.48）。PFS 评分与发病年龄或 MoCA 评分均无显著相关性（相关系数范围：-0.05 至 0.12）。
中文版 PFS 是评估 PD 患者疲劳的有效工具。
