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与长期肌电图相关的握力:在评估帕金森病功能衰退中的应用

Handgrip Strength Related to Long-Term Electromyography: Application for Assessing Functional Decline in Parkinson Disease.

作者信息

Jones Gareth R, Roland Kaitlyn P, Neubauer Noelannah A, Jakobi Jennifer M

机构信息

School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada.

Centre on Aging, University of Victoria, Victoria, British Columbia, Canada.

出版信息

Arch Phys Med Rehabil. 2017 Feb;98(2):347-352. doi: 10.1016/j.apmr.2016.09.133. Epub 2016 Nov 5.

DOI:10.1016/j.apmr.2016.09.133
PMID:27825909
Abstract

OBJECTIVE

To determine which clinical measures of physical function (ie, gait, balance, and grip strength) best represent long-term electromyography in persons with Parkinson disease (PD) compared with those without PD.

DESIGN

Cross-sectional study.

SETTING

Local community.

PARTICIPANTS

A sample (N=37) of men and women with PD (n=23) and those without PD (n=14), living independently at home, older than 50 years of age, from the local community.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Measures of gait, balance, and grip strength were completed, and electromyography was examined in biceps brachii, triceps brachii, vastus lateralis, and biceps femoris during a 6.5-hour day. Muscle activity was quantified through burst in electromyography (>2% of the normalized maximum voluntary exertion with a continuous activity period of >0.1s). Stepwise multiple regression models were used to determine the proportion of variance in burst characteristics explained by clinical measures of physical function in PD.

RESULTS

Grip strength was the best predictor of muscle activity in persons with PD (R=.17-.33; P<.04), whereas gait characteristics explained muscle activity in healthy controls (R=.40-.82; P<.04).

CONCLUSIONS

Grip strength could serve as an effective clinical assessment tool to determine changes in muscle activity, which is a precursor to functional loss in persons with PD.

摘要

目的

与无帕金森病(PD)的人相比,确定哪些身体功能的临床指标(即步态、平衡和握力)最能代表PD患者的长期肌电图情况。

设计

横断面研究。

地点

当地社区。

参与者

从当地社区选取了一个样本(N = 37),包括23名患有PD的男性和女性以及14名无PD的人,他们均独立居住在家,年龄超过50岁。

干预措施

不适用。

主要观察指标

完成步态、平衡和握力的测量,并在一天6.5小时内对肱二头肌、肱三头肌、股外侧肌和股二头肌进行肌电图检查。通过肌电图中的爆发(归一化最大自主用力的>2%,连续活动期>0.1秒)对肌肉活动进行量化。采用逐步多元回归模型来确定PD患者身体功能临床指标所解释的爆发特征方差比例。

结果

握力是PD患者肌肉活动的最佳预测指标(R = 0.17 - 0.33;P < 0.04),而步态特征可解释健康对照者的肌肉活动(R = 0.40 - 0.82;P < 0.04)。

结论

握力可作为一种有效的临床评估工具,用于确定肌肉活动的变化,而肌肉活动变化是PD患者功能丧失的先兆。

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