Department of Engineering, University of Messina, 98166 Messina, Italy.
Department of Neurosurgery, Azienda Ospedaliera Papardo, University of Messina, 98158 Messina, Italy.
Sensors (Basel). 2024 Aug 6;24(16):5100. doi: 10.3390/s24165100.
This narrative review provides a comprehensive analysis of the several methods and technologies employed to measure handgrip strength (HGS), a significant indicator of neuromuscular strength and overall health. The document evaluates a range of devices, from traditional dynamometers to innovative sensor-based systems, and assesses their effectiveness and application in different demographic groups. Special attention is given to the methodological aspects of HGS estimation, including the influence of device design and measurement protocols. Endogenous factors such as hand dominance and size, body mass, age and gender, as well as exogenous factors including circadian influences and psychological factors, are examined. The review identifies significant variations in the implementation of HGS measurements and interpretation of the resultant data, emphasizing the need for careful consideration of these factors when using HGS as a diagnostic or research tool. It highlights the necessity of standardizing measurement protocols to establish universal guidelines that enhance the comparability and consistency of HGS assessments across various settings and populations.
这篇叙述性评论全面分析了几种测量握力（HGS）的方法和技术，握力是神经肌肉力量和整体健康的重要指标。本文评估了一系列设备，从传统的测力计到创新的基于传感器的系统，并评估了它们在不同人群中的有效性和适用性。特别关注 HGS 估计的方法学方面，包括设备设计和测量协议的影响。研究了内在因素，如手的优势和大小、体重、年龄和性别，以及外在因素，如昼夜节律的影响和心理因素。该评论确定了 HGS 测量实施和结果数据解释方面的显著差异，强调在将 HGS 用作诊断或研究工具时，需要仔细考虑这些因素。它强调了标准化测量协议的必要性，以制定通用指南，增强在各种环境和人群中进行 HGS 评估的可比性和一致性。
