Department of Rehabilitation Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Department of Rehabilitation Medicine, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Int J Environ Res Public Health. 2019 Jun 25;16(12):2235. doi: 10.3390/ijerph16122235.
We investigated population-based data on grip strength, analyzed for demographic factors, and proposed a formula to estimate grip strength that could be generalized to a population with different anthropometric and background characteristics. : This study used a complex, stratified, multistage probability cluster survey with a representative sample of the population. Select household Korean participants ( = 6577) over age 10 who were able to perform daily tasks without issue were included. Grip strength was measured in both hands, alternately, three times using a digital grip strength dynamometer. : There was a curvilinear relationship between grip strength and age, and grip strength was higher in males than females ( = 0.001). Hand preference significantly affected grip strength ( = 0.001). Weight and height were positively correlated with strength in both hands ( = 0.001), but waist circumference was negatively correlated with strength in both hands ( = 0.001). The intensity of occupational labor did significantly affect grip strength in both hands ( = 0.001). The formulas for estimating grip strength of each hand are presented as main results. To determine normative data on grip strength, we may consider factors such as occupations with different physical demands, underlying medical conditions, anthropometric characteristics, and unmodifiable factors such as age and sex.
我们调查了基于人群的握力数据,分析了人口统计学因素,并提出了一种可以推广到具有不同人体测量学和背景特征的人群的握力估计公式。这项研究使用了一种复杂的、分层的、多阶段概率聚类调查,对具有代表性的人群样本进行了分析。选择能够无障碍完成日常任务的 10 岁以上的韩国家庭参与者(=6577)。使用数字握力测力计交替测量双手三次握力。握力与年龄呈曲线关系,男性的握力高于女性(=0.001)。手的偏好显著影响握力(=0.001)。体重和身高与双手的力量呈正相关(=0.001),但腰围与双手的力量呈负相关(=0.001)。职业劳动强度显著影响双手的握力(=0.001)。每个手的握力估计公式作为主要结果呈现。为了确定握力的正常参考值,我们可能需要考虑不同体力需求的职业、潜在的医疗状况、人体测量学特征以及年龄和性别等不可改变的因素。