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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)
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, stratifie...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616518/ https://www.ncbi.nlm.nih.gov/pubmed/31242569 http://dx.doi.org/10.3390/ijerph16122235 |
Sumario: | 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. |
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