Open AccessTECHNIQUE FOR DETERMINATION OF THE BIOLOGICAL AGE WITHIN THE FRAMEWORK OF THE FUNDAMENTAL CHARACTERISTICS OF AGING
Author(s) -
А В Скребнева,
Valery I. Popov,
Anastasiia Buslova
Publication year - 2019
Publication title -
zdravoohranenie rossijskoj federacii
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.164
H-Index - 3
eISSN - 2412-0723
pISSN - 0044-197X
DOI - 10.18821/0044-197x-2019-63-1-22-28
Subject(s) - statistics , confidence interval , set (abstract data type) , linear regression , sample (material) , mathematics , computer science , medicine , econometrics , chemistry , chromatography , programming language
The article describes a new method for determining the biological age (BV) of a person, developed by a team of authors: A. Skrebneva, V. Popov, A. Buslova. The goal and objectives are to develop a new method for assessing BV with determining its validity and usefulness for predicting the rate of aging in the framework of a large national sample of people. Material and methods. For the work, anonymous results of blood tests of patients from 2014 to 2016 were taken from the laboratory of the Voronezh Regional Clinical Consultative and Diagnostic Center, Russia. At the first stage, data was divided into two sets: the first included the parameters of healthypatients, the second set was consisted from patients who had abnormal results.Afterwards significant for prediction biomarkers were determined by methods of statistical analysis on the initial data set of healthy patients. At the second stage, a statistical model was built. When calendar age (CA) were considered unknown, it was calculated by Klemera and Doubal method. Results. The proposed method provides improved accuracy of determining BV compared to traditional methods based on the linear regression method, since it takes into account the complexity of the relationship between biomarkers and the change in the degree of influence of various biomarkers in the process of age-related changes in the body. This made it possible, with a known CV, to reduce the confidence interval in determining BV ± 10 years to ± 4 years, and with an unknown CV of the patient - from ± 25 years to ± 10.9 years. Discussion. The proposed method allows to increase the accuracy of determining BV is not less than 2.29 times. Conclusion. The proposed method allows to assess the degree of influence of adverse environmental factors, chronic diseases on life expectancy and the effectiveness of recreational physical culture for dynamic medical monitoring in various medical institutions.