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最大握力可以预测慢性疲劳患者的最大身体机能。

Maximal handgrip strength can predict maximal physical performance in patients with chronic fatigue.

机构信息

C2VN Faculty of Medicine, Aix Marseille University, Marseille, France; European Hospital, Marseille, France.

European Hospital, Marseille, France.

出版信息

Clin Biomech (Bristol). 2020 Mar;73:162-165. doi: 10.1016/j.clinbiomech.2020.01.003. Epub 2020 Jan 9.

Abstract

BACKGROUND

Maximal handgrip strength is used to predict exercise performance in healthy older subjects and in patients with chronic obstructive pulmonary disease, breast cancer or cirrhosis. Our objective was to evaluate the ability of maximal handgrip strength to predict maximal exercise performance in patients with chronic fatigue.

METHODS

Sixty-six patients with myalgic encephalomyelitis/chronic fatigue syndrome and 32 patients with chronic fatigue but no diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome were included. The maximal physical performance was measured on a cycle ergometer to measure the peak oxygen uptake and the maximal work rate. We searched for linear regressions between maximal handgrip strength and maximal performances.

FINDINGS

No significant differences in slopes and ordinates of regression lines were noted between patients with or without a diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome, allowing to pool the data. Maximal handgrip strength was significantly and positively correlated with peak oxygen uptake and maximal work rate in all patients with chronic fatigue.

INTERPRETATION

We conclude that handgrip strength can predict maximal exercise performance in patients with chronic fatigue.

摘要

背景

最大握力可用于预测健康老年人和慢性阻塞性肺疾病、乳腺癌或肝硬化患者的运动表现。我们的目的是评估最大握力预测慢性疲劳患者最大运动表现的能力。

方法

纳入 66 例肌痛性脑脊髓炎/慢性疲劳综合征患者和 32 例慢性疲劳但无肌痛性脑脊髓炎/慢性疲劳综合征诊断的患者。最大体力表现通过测功计测量峰值摄氧量和最大功量来测量。我们在最大握力和最大性能之间寻找线性回归。

结果

在有或没有肌痛性脑脊髓炎/慢性疲劳综合征诊断的患者之间,回归线的斜率和纵坐标没有显著差异,允许合并数据。最大握力与所有慢性疲劳患者的峰值摄氧量和最大功量呈显著正相关。

结论

我们得出结论,握力可以预测慢性疲劳患者的最大运动表现。

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