Sayadizadeh Mobina, Daliri Mahla, Sadeghi Masoumeh, Azimi Mehdi Ataei, Mozafari Javad Khaje, Moradi Ali
Student Research Committee, Department of Epidemiology, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Orthopedics Research Center, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran.
Int Orthop. 2025 Mar;49(3):549-557. doi: 10.1007/s00264-025-06409-3. Epub 2025 Jan 9.
The present study aims to provide normative values for Hand Grip Strength (HGS) and Hand Pinch Strength of healthcare staff and evaluate key body anthropometric predictors of these strengths.
This cross sectional study was conducted on 2,337 healthcare staff. HGS and pinch strength were assessed for both hands using a hydraulic hand dynamometer and pinch gauge. Descriptive data were reported for dominant and non-dominant HGS and pinch strength, after stratification by gender, age, and height. Multivariatelinear regression analysis was performed to assess predictor variables.
The maximum HGS values were identified in men aged 35 to 40, measuring 38.00 ± 7.81 kg, and in women aged 50 to 55, measuring 22.20 ± 4.13 kg. The highest pinch strength values were recorded in men aged 45 to 50, with measurements of 7.16 ± 1.48 kg, and in women aged 35 to 40, with measurements of 4.24 ± 1.15 kg. The predictor variables for dominant HGS and pinch strength exhibited 59% and 51% prediction for variations in dominant HGS and pinch strength, respectively, using gender, height, and wrist circumference as predictors. Height (for grip: dominant hand: β = 0.33, CI [0.28, 0.37]; for pinch: dominant hand: β = 0.04, CI [0.02, 0.05]) was the most effectively correlated anthropometric variable.
The findings demonstrate differences in HGS and pinch strength among different gender and age groups. Multiple linear regression analysis highlights the crucial role of anthropometric variables in evaluating hand strength. These results can provide guidance for future research and clinical assessments.
Not applicable.
Level III (analytical cross-sectional study on big sample size).
本研究旨在提供医护人员握力（HGS）和捏力的标准值，并评估这些力量的关键身体人体测量学预测因素。
对2337名医护人员进行了这项横断面研究。使用液压式握力计和捏力计评估双手的HGS和捏力。按性别、年龄和身高分层后，报告优势手和非优势手HGS及捏力的描述性数据。进行多元线性回归分析以评估预测变量。
35至40岁男性的最大HGS值为38.00±7.81千克，50至55岁女性的最大HGS值为22.20±4.13千克。45至50岁男性的捏力最高值为7.16±1.48千克，35至40岁女性的捏力最高值为4.24±1.15千克。以性别、身高和腕围作为预测因素，优势手HGS和捏力的预测变量分别对优势手HGS和捏力变化的预测率为59%和51%。身高（对于握力：优势手：β = 0.33，CI [0.28, 0.37]；对于捏力：优势手：β = 0.04，CI [0.02, 0.05]）是与人体测量学最有效相关的变量。
研究结果表明不同性别和年龄组之间的HGS和捏力存在差异。多元线性回归分析突出了人体测量学变量在评估手部力量中的关键作用。这些结果可为未来研究和临床评估提供指导。
不适用。
III级（大样本量的分析性横断面研究）。
