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首页> 外文期刊>Kinesiology: international scientific journal of kinesiology and sport >ANTHROPOMETRIC AND PHYSIOLOGICAL DETERMINANTS OF RUNNING PERFORMANCE IN MIDDLE- AND LONG-DISTANCE RUNNERS
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ANTHROPOMETRIC AND PHYSIOLOGICAL DETERMINANTS OF RUNNING PERFORMANCE IN MIDDLE- AND LONG-DISTANCE RUNNERS

机译:中长跑运动员跑步性能的杀菌剂和生理指标

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The aim of the present study was to compare anthropometric, body composition and physiological parameters in middle- and long-distance runners of the same performance level and to identify variables that could predict the probability of being either a middle- or a long-distance runner. National-level middle-(n=20, body mass M=70.5, SD=6.3 kg, body height M=1.80, SD=0.04 m,) and long- (n=20, body mass M=69.0, SD=4.5 kg, body height M=1.81, SD=0.05 m) distance runners performed an incremental test on a treadmill. Anthropometric and body composition parameters were measured and different body length and mass ratios were calculated. Middle- and long-distance runners did not differ (p>.05) in their leg mass, length proportions, in their measured anthropometric or body composition parameters, except for the lower leg length. Performance in middle-distance runners was best described by the lower leg to upper leg mass ratio(Adj R2=.41; p<.05) and the second ventilatory threshold time (Adj R2=.33; p<.05), while the performance in long-distance runners was best described by the total time on a treadmill (Adj R2=.36; p<.05). The constructed model showed that VO2maxtime (OR=1.01, 95% CI 1.001-1.012) and age (OR=1.57; 95% CI 1.065-2.310) classified middle- and long-distance runners in their specialties. In conclusion, the results of the present study demonstrate the relevance of specific anthropometric parameters in predicting middle- but not longdistancerunning performance.
机译:本研究的目的是比较相同性能水平的中长跑运动员的人体测量学,身体成分和生理参数,并确定可预测成为中长跑运动员概率的变量。国家级中级(n = 20,体重M = 70.5,SD = 6.3公斤,身高M = 1.80,SD = 0.04 m,)和长级(n = 20,体重M = 69.0,SD = 4.5体重,身高M = 1.81,SD = 0.05m)。长跑运动员在跑步机上进行了增量测试。测量人体测量学和身体组成参数,并计算出不同的身体长度和质量比。中长跑运动员的腿部质量,长度比例,人体测量或身体成分参数均无差异(p> 0.05),但小腿长度除外。小腿与大腿的质量比(Adj R2 = .41; p <.05)和第二个呼吸阈时间(Adj R2 = .33; p <.05)可以最好地描述中长跑运动员的表现。长跑运动员的表现最好用跑步机上的总时间来描述(调整R2 = .36; p <.05)。所构建的模型显示,VO2maxtime(OR = 1.01,95%CI CI 1.001-1.012)和年龄(OR = 1.57; 95%CI 1.065-2.310)将中长跑运动员分类。总之,本研究的结果证明了特定人体测量学参数在预测中长跑性能时的相关性。

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