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肌肉活动和结构作为握力的预测指标。

Muscle activity and architecture as a predictor of hand-grip strength.

机构信息

Departamento de Fisioterapia, Instituto de Biomedicina de Málaga (IBIMA), Grupo de Clinimetría (F-14), Universidad de Málaga, Andalucía Tech, Facultad de Ciencias de la Salud, Málaga, Spain. Rehabilitation Sciences Research Department, Vrije Universiteit Brussel, Brussels, Belgium.

出版信息

Physiol Meas. 2020 Aug 11;41(7):075008. doi: 10.1088/1361-6579/aba007.

Abstract

BACKGROUND

Grip strength is a powerful predictor of disability as well as a good indicator of physical activity.

OBJECTIVES

This study aimed to relate ultrasound (US) and electromyography (EMG) simultaneously to maximum hand-grip strength during an isometric contraction.

APPROACH

This is a cross-sectional study. Data acquisition was done with a dynamometer, US and EMG. Outcome variables included maximum strength during the hand-grip gesture, maximum muscle activity and change in muscle thickness. A non-linear regression analysis was performed to analyse the relationship between all outcome variables.

MAIN RESULTS

A total of 38 subjects (18 men and 20 women) participated in the study. The mean results for hand-grip strength were 25.50 (SD 6.55) kg of maximum strength, a change in muscle thickness of 1.83 (SD 0.75) mm and an EMG activity of 499.29 (SD 224.20) µV. Hand-grip strength had a high correlation with muscle thickness (R = 0.61) and EMG activity (R = 0.95). The correlation between maximum muscle activity and change in muscle thickness was R = 0.83.

SIGNIFICANCE

The results of the present study demonstrate that this new method based on electromyographic activity and muscule architecture could be important in the development of the hand-grip test.

摘要

背景

握力是残疾的有力预测指标,也是身体活动的良好指标。

目的

本研究旨在同时将超声(US)和肌电图(EMG)与等长收缩期间的最大手握力相关联。

方法

这是一项横断面研究。使用测力计、US 和 EMG 进行数据采集。结果变量包括手握姿势的最大力量、最大肌肉活动和肌肉厚度变化。进行非线性回归分析以分析所有结果变量之间的关系。

主要结果

共有 38 名受试者(18 名男性和 20 名女性)参与了研究。手握力量的平均结果为 25.50(SD 6.55)kg 的最大力量、1.83(SD 0.75)mm 的肌肉厚度变化和 499.29(SD 224.20)µV 的 EMG 活动。握力与肌肉厚度(R = 0.61)和 EMG 活动(R = 0.95)高度相关。最大肌肉活动与肌肉厚度变化之间的相关性为 R = 0.83。

意义

本研究的结果表明,这种基于肌电图活动和肌肉结构的新方法在手握测试的开发中可能很重要。

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