Associations between daily-living physical activity and laboratory-based assessments of motor severity in patients with falls and Parkinson's disease

Associations between daily-living physical activity and laboratory-based assessments of motor severity in patients with falls and Parkinson's disease
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DOI:
10.1016/j.parkreldis.2019.01.022
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发表时间:
2019-05-01
影响因子:
4.1
通讯作者:
Hausdorff, Jeffrey M.
Hausdorff, Jeffrey M.
中科院分区:
医学2区
文献类型:
--
作者:
Galperin, Irina;Hillel, Inbar;Hausdorff, Jeffrey M.

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简介:最近的研究表明,可穿戴设备可以增强帕金森病(PD)的传统措施。我们评估了疾病的常规测量和运动严重程度之间的关系(例如,MDS-EARRS第三部分),实验室为基础的措施的步态和平衡,日常生活体力活动措施的patients.Methods:从125例患者(年龄:71.7 +/- 6.5岁,Hoehn和Yahr:1-3,60.5%的男性)的数据进行了分析。MDS-MRS-第三部分被用作运动症状严重程度的金标准。在实验室中对步态和平衡进行量化。日常生活的步态和身体活动的指标提取从加速度计上佩戴的下背部为7 days.Results:在多变量分析,日常生活的身体活动和步态指标,实验室为基础的平衡,人口统计学和受试者的特征一起解释46%的方差MDS-MERS-第三部分分数。日常生活的措施占62%的解释方差,实验室措施30%,人口统计学和受试者特征的解释方差的7%。相反,人口统计学和受试者特征,步态对称性的实验室测量,以及运动症状严重程度共同解释了总日常体力活动的不到30%的方差。MDS-MRS-第三部分评分占解释方差的13%,即,< 4%的所有方差在总daily-living activity.Conclusions:我们的研究结果表明,传统的措施的运动症状的严重程度并不能强烈反映日常生活活动和日常生活的措施显然提供了重要的信息,是没有捕获在一个传统的一次性,实验室评估步态,平衡或MDS-MERS。为了提供更完整的评估,应考虑可穿戴设备。
Introduction: Recent work suggests that wearables can augment conventional measures of Parkinson's disease (PD). We evaluated the relationship between conventional measures of disease and motor severity (e.g., MDS-UPDRS part III), laboratory-based measures of gait and balance, and daily-living physical activity measures in patients with PD.Methods: Data from 125 patients (age: 71.7 +/- 6.5 years, Hoehn and Yahr: 1-3, 60.5% men) were analyzed. The MDS-UPDRS-part III was used as the gold standard of motor symptom severity. Gait and balance were quantified in the laboratory. Daily-living gait and physical activity metrics were extracted from an accelerometer worn on the lower back for 7 days.Results: In multivariate analyses, daily-living physical activity and gait metrics, laboratory-based balance, demographics and subject characteristics together explained 46% of the variance in MDS-UPDRS-part III scores. Daily-living measures accounted for 62% of the explained variance, laboratory measures 30%, and demographics and subject characteristics 7% of the explained variance. Conversely, demographics and subject characteristics, laboratory-based measures of gait symmetry, and motor symptom severity together explained less than 30% of the variance in total daily-living physical activity. MDS-UPDRS-part III scores accounted for 13% of the explained variance, i.e., < 4% of all the variance in total daily-living activity.Conclusions: Our findings suggest that conventional measures of motor symptom severity do not strongly reflect daily-living activity and that daily-living measures apparently provide important information that is not captured in a conventional one-time, laboratory assessment of gait, balance or the MDS-UPDRS. To provide a more complete evaluation, wearable devices should be considered.