E.G. Geyko¹, I.V. Radysh², V.F. Fedorov³, V.I. Torshin⁴
1–4 Peoples' Friendship University of Russia named after Patrice Lumumba (Moscow, Russia)
3 RNIMU named after N.I. Pirogov Ministry of Health of Russia (Moscow, Russia)
¹ geiko85@mail.ru, ² iradysh@mail.ru, ³ sogdjoy@mail.ru, ⁴ vtorsin@mail.ru
The classical anthropometric method of measuring body weight does not provide an opportunity to assess hormone-dependent quantitative changes in body composition and its individual parameters depending on the phases of the ovarian-menstrual cycle in women and is not a specific indicator. Therefore, when studying changes in body composition in different phases of the menstrual cycle, a more accurate assessment by bioimpedance analysis is needed. This study presents changes in body component composition under the influence of hormonal status of different phases of the ovarian-menstrual cycle in practically healthy women of early reproductive age by bioimpedance analysis. 84 practically healthy women aged 18 to 24 years (1st and 2nd year students of the Medical Institute of the Peoples' Friendship University of Russia named after Patrice Lumumba) were examined in the follicular phase (FP) – on the 7th-9th day and the luteal phase (LP) – on the 20th-22nd day of the menstrual cycle. As a result, we obtained the difference in average body weight in women between the two phases of the menstrual cycle of 1.8 kg, in terms of body fat percentage of 1.8%, and in terms of body fat index of 0.8 kg/m² with an increase in the luteal phase. According to the average value of the studied bioimpedance parameters in women, the differences between the phases of the menstrual cycle are insignificant, however, according to the results of multidimensional statistics (cluster analysis) we are seeing a significant difference. The contribution of individual parameters to the separation by multidimensional cluster analysis by phases of the menstrual cycle varies widely. Correlation analysis showed the presence of a significant number of strong statistical relationships between individual parameters of bioimpedance analysis of body composition. It is of interest for further research to observe and analyze several consecutive ovarian-menstrual cycles using descriptive and multidimensional statistical methods in order to identify stable trends and search for patterns between various regulatory processes in the female body when the hormonal status changes in different phases of the menstrual cycle.
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