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首页> 外文期刊>International Journal of Environmental Research and Public Health >Normative Data on Grip Strength in a Population-Based Study with Adjusting Confounding Factors: Sixth Korea National Health and Nutrition Examination Survey (2014–2015)
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Normative Data on Grip Strength in a Population-Based Study with Adjusting Confounding Factors: Sixth Korea National Health and Nutrition Examination Survey (2014–2015)

机译:调整混杂因素的基于人口的研究中握力的标准数据:第六次韩国国家健康与营养调查(2014–2015)

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Background: 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. Methods : This study used a complex, stratified, multistage probability cluster survey with a representative sample of the population. Select household Korean participants ( n = 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. Results : There was a curvilinear relationship between grip strength and age, and grip strength was higher in males than females ( p = 0.001). Hand preference significantly affected grip strength ( p = 0.001). Weight and height were positively correlated with strength in both hands ( p = 0.001), but waist circumference was negatively correlated with strength in both hands ( p = 0.001). The intensity of occupational labor did significantly affect grip strength in both hands ( p = 0.001). The formulas for estimating grip strength of each hand are presented as main results. Conclusions: 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.
机译:背景:我们研究了基于握力的人群数据,分析了人口统计学因素,并提出了一个公式来估算握力,可以将其推广到具有不同人体特征和背景特征的人群。方法:本研究使用了复杂的,分层的,多阶段概率聚类调查,并带有代表性样本。选择的10岁以上的韩国家庭成员(n = 6577)能够执行日常任务而不会出现问题。使用数字式握力测力仪,交替地两次测量握力。结果:握力与年龄之间存在曲线关系,男性握力比女性高(p = 0.001)。手的偏好会显着影响握力(p = 0.001)。体重和身高与双手强度呈正相关(p = 0.001),而腰围与双手强度呈负相关(p = 0.001)。职业劳动强度的确会严重影响双手的握力(p = 0.001)。主要结果显示了估算每只手的握力的公式。结论:为了确定关于握力的规范数据,我们可能会考虑各种因素,例如具有不同身体需求的职业,基本医疗状况,人体测量学特征以及不可更改的因素(例如年龄和性别)。

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