Simon Frédéric R, Ertel Geoffrey N, Duchene Youri, Maciejewski Hugo, Gauchard Gérome C, Mornieux Guillaume
Développement, Adaptation et Handicap (DevAH), Faculté de Médecine, Université de Lorraine, Nancy, France.
French Rowing Federation, Nogent-Sur-Marne, France.
J Sports Sci. 2023 Mar;41(5):399-407. doi: 10.1080/02640414.2023.2219076. Epub 2023 May 30.
The purpose of this study was to evaluate the influence of technical and core stability parameters on rowing ergometer performance defined as mean power at the handle. Twenty-four high-level rowers were evaluated at their competitive stroke rate on an instrumented RowPerfect 3 ergometer to determine leg, trunk and arm power output, while trunk and pelvis 3D kinematics were measured. Linear mixed models revealed that mean power at the handle was predicted by the power output of legs, trunk and arms (r = 0.99), with trunk power being the best predictor. Time to peak power, work ratio and mean to peak power ratio were relevant technical parameters significantly predicting the different segments' power. In addition, a greater trunk range of motion significantly influenced the power produced by this segment. Accordingly, achieving an earlier peak power together with enhanced work production at the trunk and arm levels, as well as distributing the segments power over the whole drive phase, could serve as recommendations for technical training of rowers on dynamic ergometers in order to produce higher power output. Furthermore, the trunk appears to play a major role as a power producer within the kinetic chain from the legs to the arms.
本研究的目的是评估技术和核心稳定性参数对划船测功仪性能的影响,该性能定义为手柄处的平均功率。对24名高水平赛艇运动员在配备仪器的RowPerfect 3测功仪上以其比赛划桨频率进行评估,以确定腿部、躯干和手臂的功率输出,同时测量躯干和骨盆的三维运动学数据。线性混合模型显示,手柄处的平均功率可由腿部、躯干和手臂的功率输出预测(r = 0.99),其中躯干功率是最佳预测指标。达到峰值功率的时间、工作比率和平均至峰值功率比率是显著预测不同节段功率的相关技术参数。此外,更大的躯干运动范围显著影响该节段产生的功率。因此,在躯干和手臂水平上更早地达到峰值功率并提高做功,以及在整个驱动阶段分配各节段的功率,可以作为赛艇运动员在动态测功仪上进行技术训练的建议,以便产生更高的功率输出。此外,在从腿部到手臂的动力链中,躯干似乎作为动力产生者发挥着主要作用。