滑雪运动员发展局部肌肉耐力、静止动力学和耐缺氧能力的身体储备的综合评估

IF 0.2 Q4 SPORT SCIENCES
D. Maleev, A. Isaev, J. Petrova, V. Zalyapin, A. Shevtsov, Y. Korableva
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引用次数: 2

摘要

的目标。本文旨在评估发展局部区域肌肉耐力(LRME),静止动力学和耐缺氧性的滑雪运动员的身体储备。材料和方法。选取运动经验5-7年的15 - 16岁高技能滑雪运动员(I、II类,体育硕士候选人)(n = 12)。使用以下设备评估运动体能和运动表现:t2100 GE跑步机系统、CardioSoft诊断系统(美国)、HYPOXICO Everest Summit II海拔发生器(美国)、Angio Scan-01 P脉搏血氧计传感器(俄罗斯)。采用SPSS信息处理软件包进行统计分析。结果。培养LRME和抗缺氧技术对运动成绩的影响已经确立。构建了竞技表现的广义排名,并描述了一个回归模型,该模型建立了运动表现对形态功能和代谢状态的依赖。比较了采用LRME和耐缺氧方法培养的运动员的形态功能和代谢状态的关键指标。标准是建立在运动储备训练的成功表现,有前途的越野滑雪运动员,与完善的技术状态指标建模,同时保持功能和代谢潜力和健康水平。结论。研究结果表明,综合技术在运动训练中的有效性,并允许识别功能和代谢状态的标记。建议的技术允许增强适应和识别状态标记。这使得在LRME、静止动力学和耐缺氧条件下提高性能成为可能。预测比赛结果可以调节运动员的体能,并及时进行纠正,以确保成功的比赛成绩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INTEGRAL ASSESSMENT OF BODY RESERVES IN SKI RACERS DEVELOPING LOCAL REGIONAL MUSCLE ENDURANCE, STATOKINETIC AND HYPOXIA RESISTANCE
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.
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来源期刊
Human Sport Medicine
Human Sport Medicine SPORT SCIENCES-
CiteScore
0.70
自引率
50.00%
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