最大肌肉力量作为最佳落差高度的预测指标

Milan Matić, Igor Ranisavljev
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引用次数: 1

摘要

本研究的第一个目标是检验最大肌力与最佳落差(DHopt)之间的关系,第二个目标是检验预测DHopt的回归模型与变量h确定的DHopt之间的关系。共有30名体育运动学院的学生参与了实验。试验期间,在0.12 ~ 0.82 m范围内随机选取8个海拔高度。训练的目标是跳得更高,反弹的时间更短。以1 RM / BW 0.67预测法测定的DHopt与MDS呈正相关(p<0.05)。当计算拨号法确定的DHopt连接与被试最大肌力时,没有得到统计学上显著的相关,但有正的趋势。通过预测方法确定DHopt为(0.47±0.17 m),并使用1 RM/BW为0.67(0.47±0.07 m)和MDS为(0.48±0.06 m)的回归模型。为了解释模型之间的高相关性,需要注意的是,膝关节肌肉在跳远等高强度运动任务中起着更重要的作用。考虑到这一点,跳跃跳跃中的DHopt可以根据神经肌肉产生膝关节最大肌肉力量的能力来确定,以便在拉伸训练中使用最佳强度。
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MAXIMAL MUSCULAR STRENGTH AS A PREDICTOR OF OPTIMUM DROP HEIGHT
The first goal of the study was to examine the relationship between maximum muscle strength and optimal drop height (DHopt), while the second goal was to examine the relationship between regression models for the prediction of DHopt and DHopt determined by variable H. A total of 30 respondents, students of the Faculty of Sport and Physical Education participated in the experiment. During the experiment, eight altitudes were randomized in the range of 0.12 to 0.82 m. The instruction was to achieve a higher jump, with a shorter duration of rebound. A positive statistically significant correlation between DHopt determined by prediction method with 1 RM / BW 0.67 and MDS (p<0.05) was calculated. When computing the DHopt connection determined by the dialing method with the maximum muscle strength of the subjects, no statistically significant correlation was obtained, but there is a positive trend. Determined by the prediction method DHopt is (0.47±0.17 m) and using the regression model with 1 RM/BW 0.67 (0.47±0.07 m) and with MDS (0.48±0.06 m). In order to explain high relationship between models, it should be noted that the muscles of knee joint have a more important role in motor tasks performed at higher intensity like during drop jump. With this in mind, DHopt in the jumping jump can be determined depending on the neuromuscular capacity to generate the maximum muscle strength of the knee of the knee in order to use the optimal intensity within the pliometric training.
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