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  1. 1

    Characterization of speed fluctuation and drag force in young swimmers: A gender comparison

    Publication
    by Barbosa, Tiago M.
    Other Authors: Costa, Mário J.; Morais, Jorge E.; Morouço, Pedro; Moreira, Marc; Garrido, Nuno D. et al.
    Origin: IC-online
    The aim of this study was to compare the speed fluctuation and the drag force in young swimmers between genders. Twenty-three young pubertal swimmers (12 boys and 11 girls) volunteered as subjects. Speed fluctuation was measured using a kinematical mechanical method (i.e., speedo-meter) during a maximal 25-m front crawl bout. Active drag, active drag coefficient and power needed to overcome drag were measured with the velocity perturbation method for another two maximal 25 m front crawl bouts with and without the perturbation device. Passive drag and the passive drag coefficient were estimated using the gliding decay velocity method after a maximal push-off from the wall while being fully immersed. The technique drag index was also assessed as a ratio between active and passive drag. Boys presented meaningfully higher speed fluctuation, active drag, power needed to overcome drag and technique drag index than the girls. There were no significant gender differences for active drag coefficient, passive drag and passive drag oefficient. There were positive and moderate-strong associations between active drag and speed fluctuation when controlling the effects of swim velocity. So, increasing speed fluctuation leads to higher drag force values and those are even higher for boys than for girls.
    2013 article Portugal restricted access
  2. 2

    Characterization of speed fluctuation and drag force in young swimmers: a gender comparison

    Publication
    by Barbosa, Tiago M.
    Other Authors: Costa, M.J.; Morais, J.E.; Morouço, Pedro; Moreira, Marc; Garrido, Nuno D. et al.
    The aim of this study was to compare the speed fluctuation and the drag force in young swimmers between genders. Twenty-three young pubertal swimmers (12 boys and 11 girls) volunteered as subjects. Speed fluctuation was measured using a kinematical mechanical method (i.e., speedo-meter) during a maximal 25-m front crawl bout. Active drag, active drag coefficient and power needed to overcome drag were measured with the velocity perturbation method for another two maximal 25 m front crawl bouts with and without the perturbation device. Passive drag and the passive drag coefficient were estimated using the gliding decay velocity method after a maximal push-off from the wall while being fully immersed. The technique drag index was also assessed as a ratio between active and passive drag. Boys presented meaningfully higher speed fluctuation, active drag, power needed to overcome drag and technique drag index than the girls. There were no significant gender differences for active drag coefficient, passive drag and passive drag coefficient. There were positive and moderate- strong associations between active drag and speed fluctuation when controlling the effects of swim velocity. So, increasing speed fluctuation leads to higher drag force values and those are even higher for boys than for girls.
    2013 article Portugal open access
  3. 3

    Is the underwater gliding test a valid procedure to estimate the swimmers’ drag?

    Publication
    by Morais, J.E.
    Other Authors: Costa, M.J.; Jesus, Sérgio; Mejias, J. Erik; Moreira, Marc; Garrido, Nuno D. et al.
    The aim of this study was to develop a structural equation model for underwater gliding distance based on its determinant variables, in order to confirm whether it is an informative test of young swimmers’ hydrodynamic profile. Methods: Twenty-three subjects (twelve boys and eleven girls with a mean age of 13.61 ± 0.83 years old) were evaluated. The following were determined: (i) the underwater gliding distance; (ii) the squat jump performance; (iii) the passive drag; (iv) the passive drag coefficient; (v) the trunk transverse surface area and; (vi) the gliding velocity. Results: The underwater gliding distance was significantly correlated with the squat jump (rs = 0.47; p = 0.038) and with the coefficient of passive drag (rs = -0.55; p < 0.01) but not with passive drag (rs = 0.41; p = 0.09). The overall model explained 45% of the underwater gliding distance (x2/df = 3.138). Conclusion: The underwater gliding distance seems to be more dependent from the squat jump than from the passive drag. Therefore it seems as if the underwater gliding test is not representative of the swimmers’ passive drag or his /her passive drag coefficient.
    2013 article Portugal open access
  4. 4

    Determinaçâo da força de resistência passiva na natação: nado peito

    Publication
    by Souza, Rhaíra Helena Caetano e
    Origin: Oasisbr
    CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
    2017 master thesis Brazil open access