Examination between the measured and estimated parameters of the participants in the Hungarian Defence Forces Body Composition Program
DOI:
https://doi.org/10.17532/jhsci.2022.1597Keywords:
Physical appearance, physical strength, lifestyle change program, phase angle, hand grip strength, military healthAbstract
Introduction: The aim of the research was to analyze the - Introduced in 2015 as a new force protection capability - Hungarian Defence Forces Body Composition Program (HDF BCP) participants’ pattern of the measurement parameters and their relationship to each other, furthermore, to create a measurement protocol that can be used with large number of elements, which allows the estimation of strength and fat-free mass in the following.
Methods: The examination was carried out between 2017 and 2020. Within the HDF BCP, the measured and estimated parameters of 283 volunteers between the ages of 18 and 67 years old. A total of 709 measures were made. A Premium Body Impedance Analyzer 500 (BIA) instrument was used for the examinations. In addition, a DYNA 16 strength meter (DYNA) was used which makes it possible to measure the grip strength of both hands at the same time. Statistical calculations are performed with R-Studio program.
Results: An increase in the phase angle is accompanied by an increase in the maximum hand grip strength (p < 0.001). The full body strength increases with weight gain regarding both sexes in all age groups tested (p < 0.001). Our linear regression model is suitable for estimating maximum hand grip strength using body weight, fat-free mass, age, and gender values (R2 = 0,74) and to estimate fat-free mass percentage based on body weight, maximum hand grip strength, and gender values (R2 = 0,78).
Conclusion: The use of phase angle is an important indicator of a lifestyle change program. In the created linear regression model we will be able to estimate body fraction in significant numbers with high accuracy after measuring minimum parameters.
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Copyright (c) 2022 Attila Novák, Bea Hornyák, Zsófia Rázsó, Szabolcs Szalánczi, Andrea Sótér, Csaba Nyakas
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