Morais Jorge E, Barbosa Tiago M, Nevill Alan M, Cobley Stephen, Marinho Daniel A
Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal.
Research Center in Sports Health and Human Development (CIDESD), University of Beira Interior, Covilhã, Portugal.
Front Physiol. 2022 Apr 27;13:876838. doi: 10.3389/fphys.2022.876838. eCollection 2022.
This study aimed to: 1) determine swimming velocity based on a set of anthropometric, kinematic, and kinetic variables, and; 2) understand the stroke frequency (SF)-stroke length (SL) combinations associated with swimming velocity and propulsion in young sprint swimmers. 38 swimmers (22 males: 15.92 ± 0.75 years; 16 females: 14.99 ± 1.06 years) participated and underwent anthropometric, kinematic, and kinetic variables assessment. Exploratory associations between SL and SF on swimming velocity were explored using two two-way ANOVA (independent for males and females). Swimming velocity was determined using multilevel modeling. The prediction of swimming velocity revealed a significant sex effect. Height, underwater stroke time, and mean propulsion of the dominant limb were predictors of swimming velocity. For both sexes, swimming velocity suggested that SL presented a significant variation (males: F = 8.20, < 0.001, η = 0.40; females: F = 18.23, < 0.001, η = 0.39), as well as SF (males: F = 38.20, < 0.001, η = 0.47; females: F = 83.04, < 0.001, η = 0.51). The interaction between SL and SF was significant for females (F = 8.00, = 0.001, η = 0.05), but not for males (F = 1.60, = 0.172, η = 0.04). The optimal SF-SL combination suggested a SF of 0.80 Hz and a SL of 2.20 m (swimming velocity: 1.75 m s), and a SF of 0.80 Hz and a SL of 1.90 m (swimming velocity: 1.56 m s) for males and females, respectively. The propulsion in both sexes showed the same trend in SL, but not in SF (i.e., non-significant variation). Also, a non-significant interaction between SL and SF was observed (males: F = 0.77, = 0.601, η = 0.05; females: F = 1.48, = 0.242, η = 0.05). Swimming velocity was predicted by an interaction of anthropometrics, kinematics, and kinetics. Faster velocities in young sprinters of both sexes were achieved by an optimal combination of SF-SL. The same trend was shown by the propulsion data. The highest propulsion was not necessarily associated with higher velocity achievement.
1)基于一组人体测量学、运动学和动力学变量确定游泳速度,以及;2)了解与年轻短距离游泳运动员的游泳速度和推进力相关的划频(SF)-划距(SL)组合。38名游泳运动员(22名男性:15.92±0.75岁;16名女性:14.99±1.06岁)参与并接受了人体测量学、运动学和动力学变量评估。使用两个双向方差分析(男性和女性独立)探索了SL和SF对游泳速度的探索性关联。使用多层模型确定游泳速度。游泳速度的预测显示出显著的性别效应。身高、水下划水时间和优势肢体的平均推进力是游泳速度的预测因素。对于两性而言,游泳速度表明SL呈现出显著变化(男性:F = 8.20,<0.001,η = 0.40;女性:F = 18.23,<0.001,η = 0.39),SF也是如此(男性:F = 38.20,<0.001,η = 0.47;女性:F = 83.04,<0.001,η = 0.51)。SL和SF之间的交互作用对女性显著(F = 8.00,= 0.001,η = 0.05),但对男性不显著(F = 1.60,= 0.172,η = 0.04)。最佳的SF-SL组合表明,男性和女性的SF分别为0.80Hz和SL为2.20m(游泳速度:1.75m/s),以及SF为0.80Hz和SL为1.90m(游泳速度:1.56m/s)。两性的推进力在SL上呈现相同趋势,但在SF上并非如此(即无显著变化)。此外,观察到SL和SF之间的交互作用不显著(男性:F = 0.77,= 0.601,η = 0.05;女性:F = 1.48,= 0.242,η = 0.05)。游泳速度是由人体测量学、运动学和动力学的相互作用预测的。两性年轻短距离游泳运动员通过SF-SL的最佳组合实现了更快的速度。推进力数据也呈现出相同的趋势。最高的推进力不一定与更高的速度成就相关。