The transfer of strength and power into the stroke biomechanics of young swimmers over a 34-week period |
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Authors: | Jorge E Morais António J Silva Nuno D Garrido Daniel A Marinho Tiago M Barbosa |
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Institution: | 1. Department of Sport Sciences, University of Beira Interior, Covilh?, Portugal;2. Research Centre in Sports, Health and Human Development, University of Trás-os-Montes and Alto Douro, Vila Real, Portugalmorais.jorgestrela@gmail.com;4. Research Centre in Sports, Health and Human Development, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal;5. Department of Sport Sciences, Exercise and Health, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal;6. Research Centre in Sports, Health and Human Development, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal;7. Department of Sport Sciences, Polytechnic Institute of Bragan?a, Bragan?a, Portugal;8. National Institute of Education, Nanyang Technological University, Singapore, Singapore |
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Abstract: | The purpose of this study was to learn the interplay between dry-land strength and conditioning, and stroke biomechanics in young swimmers, during a 34-week training programme. Twenty-seven swimmers (overall: 13.33?±?0.85 years old; 11 boys: 13.5?±?0.75 years old; 16 girls: 13.2?±?0.92 years old) competing at regional- and national-level competitions were evaluated. The swimmers were submitted to a specific in-water and dry-land strength training over 34 weeks (and evaluated at three time points: pre-, mid-, and post-test; M1, M2, and M3, respectively). The 100-m freestyle performance was chosen as the main outcome (i.e. dependent variable). The arm span (AS; anthropometrics), throwing velocity (TV; strength), stroke length (SL), and stroke frequency (SF; kinematics) were selected as independent variables. There was a performance enhancement over time (M1 vs. M3: 68.72?±?5.57?s, 66.23?±?5.23?s; Δ?=??3.77%; 95% CI: ?3.98;?3.56) and an overall improvement of the remaining variables. At M1 and M2, all links between variables presented significant effects (p?.001), except the TV–SL and the TV–SF path. At M3, all links between variables presented significant effects (p?≤?.05). Between M1 and M3, the direct effect of the TV to the stroke biomechanics parameters (SL and SF) increased. The model predicted 89%, 88%, and 92% of the performance at M1, M2, and M3, respectively, with a reasonable adjustment (i.e. goodness-of-fit M1: χ2/df?=?3.82; M2: χ2/df?=?3.08; M3: χ2/df?=?4.94). These findings show that strength and conditioning parameters have a direct effect on the stroke biomechanics, and the latter one on the swimming performance. |
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Keywords: | Training performance biomechanics |
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