Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK.
Research Unit (UR17JS01) «Sports Performance, Health & Society», Higher Institute of Sport and Physical Education of Ksar Saîd, Universite de la Manouba, Manouba, Tunisia.
J Sports Sci. 2020 Apr;38(7):787-794. doi: 10.1080/02640414.2020.1734311. Epub 2020 Mar 4.
This study identified key somatic and demographic characteristics that benefit all swimmers and, at the same time, identified further characteristics that benefit only specific swimming strokes. Three hundred sixty-three competitive-level swimmers (male [n = 202]; female [n = 161]) participated in the study. We adopted a multiplicative, allometric regression model to identify the key characteristics associated with 100 m swimming speeds (controlling for age). The model was refined using backward elimination. Characteristics that benefited some but not all strokes were identified by introducing stroke-by-predictor variable interactions. The regression analysis revealed 7 "common" characteristics that benefited all swimmers suggesting that all swimmers benefit from having less body fat, broad shoulders and hips, a greater arm span (but shorter lower arms) and greater forearm girths with smaller relaxed arm girths. The 4 stroke-specific characteristics reveal that backstroke swimmers benefit from longer backs, a finding that can be likened to boats with longer hulls also travel faster through the water. Other stroke-by-predictor variable interactions (taken together) identified that butterfly swimmers are characterized by greater muscularity in the lower legs. These results highlight the importance of considering somatic and demographic characteristics of young swimmers for talent identification purposes (i.e., to ensure that swimmers realize their most appropriate strokes).
本研究确定了有利于所有游泳运动员的关键躯体和人口统计学特征,同时还确定了仅有利于特定泳姿的进一步特征。363 名竞技游泳运动员(男性[ n = 202];女性[ n = 161])参与了这项研究。我们采用乘法、异速回归模型来确定与 100 米游泳速度相关的关键特征(控制年龄)。通过引入预测变量与泳姿的交互作用,对模型进行了精炼。通过引入泳姿与预测变量的交互作用,确定了仅对某些泳姿有利的特征。回归分析揭示了 7 种“通用”特征,这些特征对所有游泳运动员都有益,这表明所有游泳运动员都受益于体脂减少、肩部和臀部宽阔、臂展更大(但小臂较短)以及前臂围度较大和放松时的臂围较小。4 种泳姿特有的特征表明,仰泳运动员受益于更长的背部,这一发现类似于船体更长的船只在水中也能更快地行驶。其他泳姿与预测变量的交互作用(一起考虑)表明,蝶泳运动员的小腿肌肉更发达。这些结果强调了考虑年轻游泳运动员的躯体和人口统计学特征对于选拔人才的重要性(即,确保游泳运动员能够发挥出最适合自己的泳姿)。