Open AccessExamination between the measured and estimated parameters of the participants in the Hungarian Defence Forces Body Composition Program
Author(s) -
Attila Novák,
Beatrix Hornyák,
Zsófia Rázsó,
Szabolcs Szalánczi,
Andrea Sótér,
Csaba Nyakas
Publication year - 2022
Publication title -
journal of health sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.112
H-Index - 3
eISSN - 2232-7576
pISSN - 1986-8049
DOI - 10.17532/jhsci.2022.1597
Subject(s) - grip strength , linear regression , body weight , lower body , mathematics , anthropometry , body fat percentage , statistics , phase angle (astronomy) , simulation , medicine , physical therapy , computer science , physics , astronomy
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.