Prediction of Metabolic Activity of Rowing Athletes Based on Blood Serum Biochemical Analysis

• Published in: Biophysics (Oxford) Vol. 68; no. 2; pp. 312 - 317
• Main Authors: Pustovoyt, V. I., Astrelina, T. A., Balakin, E. I., Kobzeva, I. V., Suchkova, Y. B., Khan, A. V., Murtazin, A. A., Maksjutov, N. F., Brumberg, V. A.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.04.2023; Springer Nature B.V
• Subjects: Alkaline phosphatase; Biochemical analysis; Biological and Medical Physics; Biophysics; Blood; Creatinine; Medical Biophysics; Metabolism; Neuroendocrine system; Physics; Physics and Astronomy; Predictions; Testosterone; Uric acid; rowing; biochemical blood test; metabolic regulation; discriminative model
• ISSN: 0006-3509; 1555-6654
• DOI: 10.1134/S0006350923020197

Determination of the state of metabolism is an urgent problem in sports medicine. Biochemical and hematological blood parameters reflect the predominance of either anabolic or catabolic processes in metabolism, which depend on the intensity and duration of training. This study was conducted to determine the predominance of metabolic processes in 21 male rowing athletes (age, 22.55 ± 3.68 years; height, 189.62 ± 6.34 cm; and weight, 88.65 ± 8.55 kg). Monitoring of blood parameters and the level of intensity of training made it possible to establish a linear discriminant function, with which eight main blood parameters were determined for prediction of the metabolic state: creatinine ( p < 0.001), uric acid ( p < 0.001), urea ( p  < 0.001), testosterone ( p < 0.001), alkaline phosphatase ( p < 0.001), albumin ( p < 0.05), total calcium ( p < 0.05), and total protein ( p < 0.05). The reliability of the developed prediction of metabolic activity of athletes using linear discriminant functions was confirmed by a strong positive correlation ( r = 0.88; p < 0.001) with the results of assessing the activity of the neuroendocrine system. The accuracy of determining the metabolic state was 91.8%.