Suppr超能文献

年轻仰泳运动员的主要体测变量。

Key somatic variables in young backstroke swimmers.

机构信息

a Research Unit (UR17JS01) Sport Performance, Health & Society», Higher Institute of Sport and Physical Education of Ksar Saîd , University of "La Manouba" , La Manouba , Tunisia.

b Higher Institute of Sports and Physical Education , Manouba University , La Manouba , Tunisia.

出版信息

J Sports Sci. 2019 May;37(10):1162-1167. doi: 10.1080/02640414.2018.1546547. Epub 2018 Nov 15.

Abstract

The purpose of this study was to estimate the optimal body size, limb-segment length, girth or breadth ratios for 100-m backstroke mean speed performance in young swimmers. Sixty-three young swimmers (boys [n = 30; age: 13.98 ± 0.58 years]; girls [n = 33; age: 13.02 ± 1.20 years]) participated in this study. To identify the optimal body size and body composition components associated with 100-m backstroke speed performance, we adopted a multiplicative allometric log-linear regression model, which was refined using backward elimination. The multiplicative allometric model exploring the association between 100-m backstroke mean speed performance and the different somatic measurements estimated that biological age, sitting height, leg length for the lower-limbs, and two girths (forearm and arm relaxed girth) are the key predictors. Stature and body mass did not contribute to the model, suggesting that the advantage of longer levers was limb-specific rather than a general whole-body advantage. In fact, it is only by adopting multiplicative allometric models that the abovementioned ratios could have been derived. These findings highlighted the importance of considering somatic characteristics of young backstroke swimmers and can help swimming coaches to classify their swimmers and enable them to suggest what might be the swimmers' most appropriate stroke (talent identification).

摘要

本研究旨在估算适合年轻游泳运动员 100 米仰泳平均速度表现的最佳体型、肢体节段长度、周长或宽度比。63 名年轻游泳运动员(男孩[ n = 30;年龄:13.98 ± 0.58 岁];女孩[ n = 33;年龄:13.02 ± 1.20 岁])参与了本研究。为了确定与 100 米仰泳速度表现相关的最佳体型和身体成分组成部分,我们采用了乘法异速线性回归模型,并通过向后淘汰法进行了改进。该乘法异速模型探索了 100 米仰泳平均速度表现与不同身体测量值之间的关联,估计生物年龄、坐高、下肢腿长以及两个周长(前臂和手臂放松周长)是关键预测因素。身高和体重对模型没有贡献,这表明较长杠杆的优势是特定于肢体的,而不是全身的普遍优势。事实上,只有通过采用乘法异速模型,才能推导出上述比例。这些发现强调了考虑年轻仰泳运动员身体特征的重要性,并可以帮助游泳教练对其运动员进行分类,使他们能够提出运动员最适合的泳姿(人才识别)。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验