D. Maleev, A. Isaev, J. Petrova, V. Zalyapin, A. Shevtsov, Y. Korableva
{"title":"INTEGRAL ASSESSMENT OF BODY RESERVES IN SKI RACERS DEVELOPING LOCAL REGIONAL MUSCLE ENDURANCE, STATOKINETIC AND HYPOXIA RESISTANCE","authors":"D. Maleev, A. Isaev, J. Petrova, V. Zalyapin, A. Shevtsov, Y. Korableva","doi":"10.14529/hsm200106","DOIUrl":null,"url":null,"abstract":"Aim. The article aims to assess the body reserves of ski racers who develop local-regional muscle endurance (LRME), statokinetic and hypoxia resistance. Materials and methods. 15–16-year-old highly skilled ski-racers (I, II category, candidates for master of sports) with sports experience of 5–7 years (n = 12) were examined. The following equipment was used to assess athletic fitness and sports performance: T 2100 GE treadmill system, CardioSoft diagnostic system (USA), HYPOXICO Everest Summit II altitude generator (USA), Angio Scan-01 P pulse oximeter sensor (Russia). Statistical analysis was performed using the SPSS information processing package. Results. The effect of techniques for developing LRME and hypoxia resistance on sports performance has been established. A generalized ranking of competitive performance is constructed and a regression model is described that establishes the dependence of sports performance on morphofunctional and metabolic statuses. The key indicators of morphofunctional and metabolic statuses were compared in athletes who used the methods for developing LRME and hypoxia resistance. Criteria are established for successful performance in sports reserve training, promising cross-country skiers, the modeling of status indicators with well-established technologies while maintaining the functional and metabolic potential and the level of health. Conclusion. The results of the study showed the effectiveness of combined technologies in sports training and allowed to identify markers of functional and metabolic statuses. The proposed technologies allowed to enhance adaptation and identify status markers. This made it possible to improve performance in the conditions of LRME and statokinetic and hypoxia resistance. Forecasting sports results allows regulating athletic fitness and making timely corrections to ensure successful sports performance.","PeriodicalId":13008,"journal":{"name":"Human Sport Medicine","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Sport Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14529/hsm200106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 2
Abstract
Aim. The article aims to assess the body reserves of ski racers who develop local-regional muscle endurance (LRME), statokinetic and hypoxia resistance. Materials and methods. 15–16-year-old highly skilled ski-racers (I, II category, candidates for master of sports) with sports experience of 5–7 years (n = 12) were examined. The following equipment was used to assess athletic fitness and sports performance: T 2100 GE treadmill system, CardioSoft diagnostic system (USA), HYPOXICO Everest Summit II altitude generator (USA), Angio Scan-01 P pulse oximeter sensor (Russia). Statistical analysis was performed using the SPSS information processing package. Results. The effect of techniques for developing LRME and hypoxia resistance on sports performance has been established. A generalized ranking of competitive performance is constructed and a regression model is described that establishes the dependence of sports performance on morphofunctional and metabolic statuses. The key indicators of morphofunctional and metabolic statuses were compared in athletes who used the methods for developing LRME and hypoxia resistance. Criteria are established for successful performance in sports reserve training, promising cross-country skiers, the modeling of status indicators with well-established technologies while maintaining the functional and metabolic potential and the level of health. Conclusion. The results of the study showed the effectiveness of combined technologies in sports training and allowed to identify markers of functional and metabolic statuses. The proposed technologies allowed to enhance adaptation and identify status markers. This made it possible to improve performance in the conditions of LRME and statokinetic and hypoxia resistance. Forecasting sports results allows regulating athletic fitness and making timely corrections to ensure successful sports performance.