Statistical Analysis of the Functional Status of the Students

Authors

  • V. I. Zalyapin South Ural State University
  • A. P. Isaev South Ural State University
  • V. V. Erlikh South Ural State University
  • R. A. Gainullin Bashkir State Medical University

DOI:

https://doi.org/10.14529/mmp160409

Keywords:

statistical analysis, cardiovascular system, Skibinski index, orthostatic test, models

Abstract

The South Ural is one of the most advanced industrial regions in Russia. It has huge industrial potential (metal industry, mechanical engineering, chemical process industry, oil-extracting industry, mineral resource industry) which predetermines negative ecological trends in the region. Levels of air pollution with salts of heavy metals, phenol and $CO_2$ are 2-4 times higher than national air quality standards. Moreover, natural background radiation in the region is increased. Under the stated conditions, low levels of motor activity lead to hypoxia and cumulative disorders of the locomotor system as well as to respiratory, gastric, oncological, allergic and other diseases. Poor environmental background significantly affects demographic rates including the life expectancy which is 72 in average for the region: 60 years for men, and 75 years for women. 
The paper studies how the main anthropometric and physiological parameters in the local residents who are divided into three groups according to their health status and motor activity (so called health groups) influence the physical fitness. Social-biological and medical aspect of the study - to find out the correlation between parameters in the examined people from different groups - may also be of interest for specialists working on optimization of physical education practice and student's health promotion.

Author Biographies

V. I. Zalyapin, South Ural State University

кандидат физико-математических наук, профессор, кафедра математического анализа и методики преподавания математики

A. P. Isaev, South Ural State University

доктор биологических наук, профессор, кафедра технологий спорта и системного анализа

V. V. Erlikh, South Ural State University

кандидат биологических наук, доцет, институт спорта и туризма и сервиса

R. A. Gainullin, Bashkir State Medical University

кандидат биологических наук, доцет, кафедра физической культуры

References

Гайнуллин, Р.А. Корреляционный, регрессионный анализ и возможности моделирования функционального состояния студентов / Р.А. Гайнуллин, А.П. Исаев, Н.В. Меньшикова // Теория и практика физической культуры. - 2015. - № 6. - С. 32-35.

Янда, В. Функциональная диагностика мышц / В. Янда. - М.: Эксмо, 2010. - 352 с.

Handbook of Applicable Mathematics. Vol. VI: Statistics, Part B. - Dallas: John Wiley and Sons, 1984.

Draper, N.R. Applied Regression Analysis / N.R. Draper, H. Smith. - N.-Y.: John Wiley and Sons, 1981.

Published

2017-05-04

Issue

Section

Programming