The problem of increasing the duration of active longevity is being solved with great difficulty, since there is still no clear understanding of the predictors of premature aging, their validity, informativeness and effectiveness of various corrective programs. The priority in this direction remains for special statistical methods, among which regression analysis and correlation adaptometry stand out. Despite the fact that the effectiveness of complex physiotherapy for various pathological reactions of premature aging has been proven, however, verification of this process from the perspective of using various methods to assess the dynamics of life expectancy has not yet been carried out.
OBJECTIVE
To analyze the validity and informativeness of statistical methods of premature aging and predictors of the effectiveness of combined physiotherapy.
MATERIAL AND METHODS
The research was conducted on the basis of the Scientific and Clinical Center 1 of the Russian National Research Center named after BV. Petrovsky Academy with the participation of 40 patients (19 men and 21 women) aged from 20 to 90 years. After signing a voluntary informed consent to conduct a special study with the processing of their personal data, all patients underwent a comprehensive clinical, laboratory and functional examination, patients with moderate physical activity, reduced calorie intake and vitamin therapy received a physiotherapy complex 2 times a year, which included multimodal effects using the Alpha LED Ohu Light-Spa device, hyper-hypoxytherapy, pressotherapy, dry carbon dioxide baths. The preventive courses were repeated twice with an interval of 6 months. All studies were conducted before and 6, 12 and 18 months after the completion of each preventive course. Multiple linear regression analysis was used to identify the predictors.
RESULTS
It was found that active longevity is determined by telomere length, inhibited by an increasing index of insulin resistance and a high concentration of malondialdehyde in the blood, although correlation adaptometry largely identified the index of insulin resistance and the coefficient of atherogenicity as predictors of premature aging. An analysis of the predictors of the effectiveness of combined physiotherapy associated with the dynamics of biological age showed that their role is mostly claimed by the insulin resistance index, atherogenicity coefficient, malondialdehyde; the index of systemic inflammation and the relative length of telomeres.
CONCLUSION
It has been proven that insulin resistance, atherogenicity coefficient, and telomere length reduction are the leading predictors of premature aging, which emphasizes the importance of optimizing hormonal regulation of carbohydrate and lipid metabolism and, ultimately, energy supply for sanogenetic processes that characterize premature aging in patients. The analysis of dynamic processes in the application of combined physiotherapy has expanded the number of predictors of the effectiveness of inhibiting premature aging, apparently due to the polymodal therapeutic effect of factors of various physical nature.
