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  • 标题:Statistical analysis of morphometric indicators and physical readiness variability of students
  • 本地全文:下载
  • 作者:Gainullin R.A ; Gainullin R.A ; Isaev A.P
  • 期刊名称:Physical Education of Students
  • 电子版ISSN:2308-7250
  • 出版年度:2017
  • 卷号:21
  • 期号:5
  • 页码:205-212
  • DOI:10.15561/20755279.2017.0502
  • 语种:English
  • 出版社:H.S. Skovoroda Kharkov National Pedagogical University
  • 摘要:To evaluate the interaction of morphometric characteristics with the reactions of the cardiorespiratory system and the indices of physical training during the process of physical exercise training at the university. Material: The students of the first course (n = 91, aged 17-18) took part in the survey. The students were divided into 6 groups. All students were engaged in physical training. All the studied indicators were conditionally divided into two groups. The first group of studies included indicators of physical fitness. The second group was formed by morphofunctional indices.Results: The indicators of the physical preparedness of students demonstrate a wide range and heterogeneity. This should be taken into account when staffing training groups. When using the technique of development of local regional muscular endurance, the values of orthostatic test and the Skibinski index show significant variability. Also high and significant correlation interactions are shown by indicators: manual dynamometry; strength endurance; the values of the Skibinski index. Also, in the orthotropic test, the same effect was observed: age, body length, heart rate. A similar analysis of morphofunctional indices shows significant correlation links: the Skibinski index and orthotropic tests; age and the Skibinski index; weight and body length. Conclusions: from the point of view of physical fitness, groups of sports training (the second group) and hypertensive groups (group 5) proved to be the most stable. A group of volunteers turned out to be the most stable relative to the morphofunctional indicators.
  • 关键词:health indicators; motor activity; statistical analysis; variability; physical readiness
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