Key somatic variables associated with,and differences between the 4 swimming strokes期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

按检索

Key somatic variables associated with,and differences between the 4 swimming strokes

Authors:	Alan M Nevill Yassine Negra Tony D Myers Senda Sammoud Helmi Chaabene

Institution:	1. Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UKa.m.nevill@wlv.ac.ukhttps://orcid.org/0000-0003-0506-3652;3. Research Unit (UR17JS01) ?Sports Performance, Health &4. Society?, Higher Institute of Sport and Physical Education of Ksar Sa?d, Universite de la Manouba, Manouba, Tunisia;5. Sport and Health, Newman University, Birmingham, UKhttps://orcid.org/0000-0003-4516-4829;6. Division of Training and Movement Sciences, Research Focus Cognitive Sciences, University of Potsdam, Potsdam, Germany

Abstract:	ABSTRACT 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).

Keywords:	Swim speed talent identification limb dimensions ratios allometric models log-linear regression

设为首页 | 免责声明 | 关于勤云 | 加入收藏