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Variations in rest-activity rhythm are associated with clinically measured disease severity in Parkinson's disease.
Chronobiology International ( IF 2.8 ) Pub Date : 2020-01-21 , DOI: 10.1080/07420528.2020.1715998
Chris Brooks 1 , Nina Shaafi Kabiri 1 , Farzad Mortazavi 1 , Sanford Auerbach 2 , Paolo Bonato 3 , Michael Kelley Erb 4 , Matt Czech 1, 4 , Dan Karlin 4, 5 , Tim Rolph 4 , Jaspreet Bhangu 1 , Kevin Thomas 1
Affiliation  

The continuous, longitudinal nature of accelerometry monitoring is well-suited to capturing the regular 24-hour oscillations in human activity across the day, the cumulative effect of our circadian rhythm and behavior. Disruption of the circadian rhythm in turn disrupts rest-activity rhythms. Although circadian disruption is a major feature of Parkinson’s disease (PD), rest-activity rhythms and their relationship with disease severity have not been well characterized in PD. 13 PD participants (Hoehn & Yahr Stage [H&Y] 1–3) wore a Philips Actiwatch Spectrum PRO continuously for two separate weeks. Rest-activity rhythms were quantified by fitting an oscillating 24-hour cosinor model to each participant-day of activity data. One-way ANOVAs adjusted for demographics revealed significant variation in the amount (MESOR, F = 12.76, p < .01), range (Amplitude, F = 9.62, p < .01), and timing (Acrophase, F = 2.7, p = .05) of activity across H&Y Stages. Those with higher H&Y Stages were significantly more likely to be active later in the day, where-as those who shifted between H&Y Stages during the study were significantly more active than those who did not change H&Y Stage. Being active later in the day was also significantly associated with higher scores on the Movement Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) Section III (motor symptom severity, p = .02), Section II (self-reported impact of motor symptoms on daily living, p = .01), and Total Score (p = .01) in an adjusted linear regression model; significant associations between MDS-UPDRS scores and activity levels were observed only in the unadjusted model. These findings demonstrate that continuous actigraphy is capable of detecting rest-activity disruption in PD, and provides preliminary evidence that rest-activity rhythms are associated with motor symptom severity and H&Y Stage.



中文翻译:

静息活动节律的变化与帕金森氏病的临床测量疾病严重程度有关。

加速度计监视的连续,纵向性质非常适合捕获全天人类活动的规律性24小时振荡,我们的昼夜节律和行为的累积影响。昼夜节律的破坏反过来会破坏静息活动的节奏。尽管昼夜节律紊乱是帕金森氏病(PD)的主要特征,但在PD中尚无良好的休息活动节律及其与疾病严重性的关系。13名PD参与者(Hoehn&Yahr Stage [H&Y] 1-3)连续两周佩戴了飞利浦Actiwatch Spectrum PRO。通过将振荡的24小时余弦模型拟合到活动数据的每个参与者日来量化休息活动的节奏。根据受众特征进行了调整的单向方差分析显示金额存在显着差异(MESOR,F = 12.76,p <.01),活动范围(振幅,F = 9.62,p <.01)和活动时间(Acrophase,F = 2.7,p = .05)。H&Y阶段较高的人当天晚些时候活跃的可能性更高,而在研究期间在H&Y阶段之间进行转换的人比那些没有改变H&Y阶段的人活跃得多。当天晚些时候活动也与运动障碍协会统一帕金森氏疾病评分量表(MDS-UPDRS)第三部分(运动症状严重程度,p = .02),第二部分(运动的自我报告影响)得分较高相关日常生活中的症状,p = 0.01)和总分(p= .01)在调整后的线性回归模型中;仅在未经调整的模型中观察到MDS-UPDRS得分与活动水平之间的显着关联。这些发现表明,连续肌动描记法能够检测PD中的静息活动中断,并提供了静息活动节律与运动症状严重程度和H&Y阶段相关的初步证据。

更新日期:2020-01-21
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