Mathematical modeling of the dependence between HRV parameters and indicators of body composition in children of primary school age
DOI:
https://doi.org/10.32782/2415-8127.2023.67.14Keywords:
autonomic nervous system, functional state, heart rhythm, autonomic dysfunctions, autonomic regulation.Abstract
Parameters of heart rate variability (HRV) are considered an accessible and highly informative marker of the functional state of the autonomic nervous system (ANS). We used the most informative indicators of HRV to study the relationship between parameters of the functional state of the ANS and indicators of the components of the body composition in children of primary school age. Components of the body composition were determined by the bioimpedance method using the body composition analyzer “TANITA-BC-601” (Japan). The study involved 222 children aged 10 to 11 years, of which 128 were girls and 94 were boys, who studied in primary grades of secondary schools in Uzhhorod. The highest correlation coefficients were found between indicators of the body composition and indicators of the total power of autonomous regulation SDNN and the activity of the parasympathetic division RMSSD and pNN50. In particular, the correlation coefficient between FFM and SDNN was equal to 0.88 (p<0.001), between VF and SDNN it was equal to 0.88 (p<0.001), between VF and RMSSD it was 0.91 (p<0.001), between VF and pNN50 was 0.85 (p<0.001). Relatively low, but statistically significant, was the correlation between indicators of the body composition and the percentage contribution of waves of different frequency domain of the heart rhythm to the total HRV. Correlation and univariate regression analysis made it possible to confirm and quantify the relationship between indicators of body composition and a number of indicators of the functional state of the ANS, in particular with SDNN, ms and TP, ms2, indicators of parasympathetic ANS activity (RMSSD, ms, pNN50, %) and some spectral parameters of heart rhythm. The obtained regression equations make it possible to predict the direction and possible range of changes of the corresponding ANS indicator when the parameters of the body composition change and can be used in planning treatment and rehabilitation measures for children with excessive body weight.
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