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Significant Predictors of Sports Performance in Elite Men Judo Athletes Based on Multidimensional Regression Models

机译:基于多维回归模型的精英男子柔道运动员体育绩效的重要预测因素

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摘要

Background: This research aimed to identify the most significant predictors of sports level using regression modeling. Methods: This study examined 16 judokas (aged 23 (±2.5)) from four weight categories, with four athletes in each category (66 kg, 73 kg, 81 kg and 90 kg). Each athlete was a member of the Polish National Team, an international master class (IM) or national master class (M). The tests were carried out twice (every two weeks) during the pre-competitive season in the morning, after a 10-min warm-up. The tests were performed according to the following protocol: Explosive Strength Lower Limbs (ExSLL) [W], Strength Endurance Lower Limbs (SELL) [%], Explosive Strength Upper Limbs (ExSUL) [W], Strength Endurance Upper Limbs (SEUL) [%]. The relationships between the dependent variable (ranking score) and the other analyzed variables (predictors) were estimated using the one-factor ridge regression analysis. Results: There were significant intergroup and intragroup differences in the results of explosive strength and strength endurance of the lower and upper limbs. The best predictors were identified using regression modeling: ExSLL, SELL, and SEUL. Conclusions: Increasing the value of these predictors by a unit should significantly affect the scores in the ranking table. Correlation analysis showed that all variables that are strongly correlated with the Polish Judo Association (PJA) ranking table scores may have an effect on the sports performance.
机译:背景:本研究旨在使用回归建模确定体育级别最重要的预测因子。方法:本研究检查了来自四个重量类别的16个judokas(年龄23(±2.5)),每个类别中有四个运动员(66千克,73千克,81公斤和90千克)。每个运动员都是波兰国家队的成员,国际大师课程(IM)或国家大师班(M)。经过10分钟的热身后,早上在早晨的竞争前季节进行两次(每两周一次)测试。测试是根据以下方案进行的:爆炸性强度下肢(EXSLL)[W],强度耐久性下肢(销售)[%],爆炸强度上肢(ExSul)[W],强度耐久性上肢(SEUL) [%]。使用单因素脊回归分析估计从属变量(排名分数)和其他分析的变量(预测器)之间的关系。结果:爆炸性强度和较低肢体强度耐久性的结果存在显着的杂项和肿瘤差异。使用回归建模识别最佳预测因子:EXSLL,卖出和SEUL。结论:通过单位增加这些预测因子的价值应显着影响排名表中的分数。相关分析表明,与波兰柔道协会(PJA)排名表分数强烈相关的所有变量可能对运动性能产生影响。

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