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Relationships between anthropometric features, body composition, and anaerobic alactic power in elite post-pubertal and mature male taekwondo athletes

机译:优秀的青春期后和成熟男性跆拳道运动员的人体测量特征,身体成分和厌氧算术力量之间的关系

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Purpose. The paper describes the relationships between anthropometric features, body composition, and anaerobic alactic power (AAP) in elite post-pubertal and mature male taekwondo athletes. Methods. The sample of 41 taekwondo athletes was divided into two groups: post-pubertal (P-P, n = 19, Mage = 15.6 ± 1.1 years) and mature (M, n = 22, Mage = 20.7 ± 2.8 years). Anthropometric features (WB-150, ZPU Tryb-Wag, Poland), body composition (BC-418 MA, Tanita, Japan), maturational status (Pubertal Maturational Observational Scale), and AAP (10-s version of the Wingate Anaerobic Test) were assessed. Results. Post-hoc testing revealed significant between-group differences (3.2-20.4%, p max) was greater (ES = ?1.15, p max in group P-P (r = 0.950 [95% CI, 0.85-0.98], p max in group P-P (r = 0.955 [95% CI, 0.86-0.99], p max in groups P-P and M (r = 0.805 [95% CI, 0.54-0.92], p max in both groups (r, 0.939-0.951; r2, 0.882-0.909). Conclusions. The strong correlations observed in both groups between BM, FFM, SMM, and Pmax demonstrate the significant effects of body size and composition on AAP. By determining the current levels of these measures for individual athletes and via regressive modelling, one can anticipate the individual developmental dynamics of AAP. On the basis of anthropometric profiling, we recommend the recruitment and selection of tall and lean individuals with high anaerobic predisposition in taekwondo. Such a profile may enable coaches to better predict future athlete development, particularly in AAP.
机译:目的。这篇论文描述了青春期后和成熟的男性跆拳道运动员的人体测量特征,身体成分和厌氧算术力(AAP)之间的关系。方法。 41名跆拳道运动员的样本分为两组:青春期(PP,n = 19,M 年龄 = 15.6±1.1岁)和成熟(M,n = 22,M 年龄 = 20.7±2.8岁)。人体测量特征(WB-150,ZPU Tryb-Wag,波兰),人体成分(BC-418 MA,日本田田市),成熟状态(Pubertal Maturational观察量表)和AAP(Wingate厌氧测试的10s版本)被评估。结果。事后测试显示,PP组之间的显着组间差异(3.2-20.4%,p max )更大(ES =?1.15,p max (r = 0.950 [95%CI,0.85 -0.98],PP组中的p max (r = 0.955 [95%CI,0.86-0.99],PP组和M组中的p max (r = 0.805 [95%CI,0.54-0.92 ],p max 两组(r,0.939-0.951; r 2 ,0.882-0.909)。结论。两组之间都观察到了BM,FFM,SMM和BM之间的强相关性。 P max 证明了身体大小和组成对AAP的显着影响,通过确定当前针对单个运动员的这些措施的水平并通过回归建模,可以预测AAP的个体发展动态。在人体测量学方面,我们建议在跆拳道中招募和选择具有较高厌氧倾向的高个子和瘦子,这样的概况可以使教练更好地预测未来的运动员发展,尤其是在AAP中。

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