Data_Sheet_1_Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study.docx

IntroductionFatigue is a common and disabling symptom in Parkinson’s disease (PD), also affecting gait. Detection of fatigue-associated changes of gait using mobile health technologies (MHT) could become increasingly effective.MethodsCognitively unimpaired PD patients without fluctuations (UPDRS IV < 1) underwent a standard neurological assessment including the PD-Fatigue scale (PFS-16). PD patients with (PD-F) and without fatigue (PD-N) were matched for age, sex, cognitive function and disease severity. Each participant underwent MHT gait assessment under supervised condition (SC) and unsupervised condition (UC).ResultsGait parameters of 21 PD-F and 21 PD-N did not significantly differ under SC. Under UC, PD-F showed higher step time, step time variability and asymmetry index compared to PD-N and the PFS-16 correlated with step time.ConclusionThis is the first MHT-based study with PD patients showing a correlation between fatigue and gait parameters. In addition, the data collected suggest that UC is clearly superior to SC in addressing this question.

疲劳感是帕金森病（PD）中一种常见且致残的症状，亦影响患者的步态。利用移动健康技术（MHT）检测与疲劳相关的步态变化，其有效性有望得到进一步提升。研究方法中，认知功能无损害且无波动（UPDRS IV < 1）的帕金森病患者接受了包括帕金森病疲劳量表（PFS-16）在内的标准神经学评估。患有疲劳性帕金森病（PD-F）和无疲劳性帕金森病（PD-N）的患者在年龄、性别、认知功能和疾病严重程度方面进行了匹配。每位参与者均在监督条件（SC）和非监督条件（UC）下接受了MHT步态评估。研究结果指出，在监督条件下，21名PD-F和21名PD-N的步态参数并无显著差异。而在非监督条件下，PD-F患者的步态时间、步态时间变异性和不对称指数均高于PD-N患者，且帕金森病疲劳量表（PFS-16）与步态时间呈相关性。结论部分，本研究基于MHT的帕金森病患者研究首次揭示了疲劳与步态参数之间的相关性。此外，收集的数据表明，在解决此问题方面，非监督条件明显优于监督条件。