Neural-network model of physical loads versus functional activity of blood neutrophils in skilled athletes in off-season

Описание

Тип публикации: статья из журнала

Год издания: 2018

Ключевые слова: Functional activity, Neutrophils, Physical load, Sport

Аннотация: High physical loads in modern sports are known to increase the exposure to immune system disorders. Subject to the study were neutrophil granulocytes for the reason that the microbe immunity largely depends on phagocytic activity. Chemiluminescent activity of neutrophil granulocytes may result in a 'respiratory explosion' that occuПоказать полностьюrs due to interaction of cells with objects of phagocytosis. Chemiluminescent process parameters are highly informative as indicators of functional activity of neutrophil granulocytes. Modern sport medicine gives a high priority to the ways to forecast potential immune system disorders. For this purpose we designed the neural-network model of the physical loads versus the functional activity of blood neutrophils. Subject to the study were 155 athletes active in different sports including 96 males and 59 females of 24.34±3.54 and 23.12±2.3 years of age, respectively. Reference Group (RG, n=101) was composed of the people free of systemic physical workloads (physically inactive) including 53 males and 48 females aged 23.17±2.54 and 22.12±3.01 years, respectively. Average approximation rate (A) for the neural-network model was estimated at 2.77% and 2.98% for the males and females, respectively. Therefore, the newly designed neural-network models were found beneficial as verified by the meaningful forecast rates for the blood neutrophil functional activity in athletes. © 2018 Teoriya i praktika fizicheskoy kul'tury i sporta. All rights reserved.

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Издание

Журнал: Teoriya i Praktika Fizicheskoy Kultury

Выпуск журнала: Is. 1

Номера страниц: 53-55

ISSN журнала: 00403601

Издатель: Teoriya i praktika fizicheskoy kul'tury i sporta

Персоны

  • Bazarin K.P. (Research Institute for Medical Problems in the North, Krasnoyarsk, Russian Federation)
  • Savchenko A.A. (Research Institute for Medical Problems in the North, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)

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