Bulletin of Semashko National Research Institute of Public HealthBulletin of Semashko National Research Institute of Public Health2415-84102415-8429FSSBI «N.A. Semashko National Research Institute of Public Health»313310.69541/NRIPH.2026.01.014Научная статьяHemodynamic determinants in the structure of the digital phenotype of aging: results of a cross-sectional studyMikhailAlexandrovich Yakushinyakushinma@mail.ruKonstantinОlegovich Seliverstovvorobievaanna2010@yandex.ruAnnaVladimirovna Vorobeva003N. A. Semashko National Research Institute of Public Health, 105064, Moscow, Russian Federation230320261929625032026Copyright © 1970,1970In the context of the global initiative of the World Health Organization «Decade of Healthy Aging» (2021—2030), the development of objective methods for assessing the rate of aging is becoming a priority task of modern medicine. Digital phenotyping of aging (DFS) is a promising interdisciplinary approach that makes it possible to quantify aging processes through the analysis of complex digital biomarkers. The purpose of this cross-sectional study was to structure and evaluate the significance of hemodynamic parameters of systemic hemodynamics (SRS) as key components of the aging phenotype. The study included a cohort of 905 patients aged 1 to 89 years. For a comprehensive assessment of hemodynamics, the method of noninvasive compression oscillometry was used with the registration of twenty-two parameters of the SRS. The calculated biological age (BV), determined automatically based on an algorithm that takes into account the circulatory index and the peripheral vascular resistance index, was used as an integral marker of the aging rate. As a result of the analysis, a set of statistically significant correlations was established between the negative trend of BV (excess of BV over the calendar age) and a number of hemodynamic disorders in people over 45 years of age. These included increased values of systolic, pulse, mean and lateral blood pressure, as well as high rates of cardiac energy expenditure and total peripheral vascular resistance. Separately, a U-shaped relationship between the cardiac index and the rate of aging was revealed, in which the risk of accelerated aging is associated with both hyper- and hypokinetic types of blood circulation. The data obtained expand the arsenal of predictive tools of the CFS and open up new opportunities for the formation of personalized preventive scenarios aimed at slowing the rate of aging and preventing age-associated pathology.digital phenotyping, aging, hemodynamics, biological age, blood pressure, systemic peripheral resistance, cardiac index, oscillometryцифровое фенотипирование, старение, гемодинамика, биологический возраст, артериальное давление, системное периферическое сопротивление, сердечный индекс, осциллометрия1.Decade of Healthy Ageing: Baseline Report. Geneva: World Health Organization; 2020.2.López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153(6):1194—1217.3.Zhang Y, Wang J, Zong H, et al. Comprehensive clinical benefits of digital phenotyping: from wide implementation to full effect. npj Digit. Med. 2025;(8):196.4.Лопсан А. А. Медицинские информационные системы: понятие, классификация, функции. Инновации. Наука. Образование. 2021;(46):1404—1411.5.Hackett K, Xu S, McNeish M, Paglia L, Barnett I, Giovannetti T. Smartphone Mobility-Based Digital Phenotypes for Unobtrusive Capture of Community Everyday Cognition, Mood, and Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study. JMIR Hum Factors. 2024;11:e59974.6.Asmar R, Rudnichi A, Blacher I, et al. Pulse pressure and aortic pulse wave are markers of cardiovascular risk in hypertensive populations. Am J Hypertens. 2001;14(2):91—97.7.Van Bortel LM, Laurent S, Boutouyrie P, et al. Expert consensus document on the measurement of aortic stiffness in daily practice using carotid-femoral pulse wave velocity. J Hypertens. 2012;30(3):445—448.8.Близнюк Е. Г., Котова А. А., Куликов Д. А., Пивоварова О. А., Якушин М. А. Выявление предрасположенности к развитию артериальной гипертензии у студентов при исследовании показателей системной гемодинамики. Ремедиум. 2025;29(2):124—128.9.Jylhävä J, Pedersen NL, Hägg S. Biological Age Predictors. EBioMedicine. 2017;(21):29—36.10.Дегтярев В. А., Дорошев В. Г. Использование ЭВМ для автоматического измерения некоторых физиологических параметров. Космическая биология и авиакосмическая медицина. 1981;(4):70.