Objective: Introduction: the paper deals with the biological age of women living in extreme climatogeographic conditions of the Republic of Sakha (Yakutia). The aim of the study was to identify the anthropometric characteristics of women of yakut nationality (from 18 to 89 years), depending on the rate of aging.
Patients and methods: Materials and methods: Anthropometric measurements were carried out by the classical method of V. V. Bunak. The absolute values of the main body components (fat, muscle and bone mass) were calculated using the Matiegka formulas. Body mass index (BMI) was determined. The variant of the rate of aging was revealed by the value of the rate of aging coefficient (Gorelkin A. G., Pinkhasov B. B., 2010). The obtained material was processed using the methods of parametric and nonparametric statistics of SPSS 17.0 application package.
Results: Results: The age characteristics of the distribution of the rate of aging women of Yakutia are revealed. The predominant option of ageing among young women, the first and second periods of adulthood was the normal rate of ageing, and among older women and senile women was the slow option of ageing. The share of accelerated aging is significantly reduced in older age groups until complete disappearance in the elderly age group. Women with accelerated aging had significantly greater body weight, relative weight of fat component than women with other options of aging rate. In terms of BMI, women with accelerated aging were significantly more likely to be overweight and obese.
Conclusion: Conclusions: Biological age women of Yakutia has the age features. Ethno-territorial features of distribution of variants of aging rate of women living in different regions of Russia are established. The obtained results can be one of the biomarkers for determining the rate of aging of the female body, and used to develop recommendations for improving the quality and increasing the life expectancy of the female population of the Republic of Sakha (Yakutia).
Keywords: aging rate; anthropometry; Yakutia; women.