Silva Luiz Felipe da, de Almeida-Neto Paulo Francisco, de Matos Dihogo Gama, Riechman Steven E, de Queiros Victor, de Jesus Joseane Barbosa, Reis Victor Machado, Clemente Filipe Manuel, Miarka Bianca, Aidar Felipe J, Dantas Paulo Moreira Silva, Cabral Breno Guilherme de Araújo Tinoco
Health Sciences Center, Department of Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.
Cardiorespiratory & Physiology of Exercise Research Laboratory, Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Biology (Basel). 2021 Oct 22;10(11):1082. doi: 10.3390/biology10111082.
The exhaustive series of tests undergone by young athletes of Olympic rowing prior to important competitions imply loads of physical stress that can ultimately impact on mood and motivation, with negative consequences for their training and performance. Thus, it is necessary to develop a tool that uses only the performance of short distances but is highly predictive, offering a time expectancy with high reliability. Such a test must use variables that are easy to collect with high practical applicability in the daily routine of coaches.
The objective of the present study was to develop a mathematical model capable of predicting 2000 m rowing performance from a maximum effort 100 m indoor rowing ergometer (IRE) test in young rowers.
The sample consisted of 12 male rowing athletes in the junior category (15.9 ± 1.0 years). A 100 m time trial was performed on the IRE, followed by a 2000 m time trial 24-h later.
The 2000 m mathematical model to predict performance in minutes based on the maximum 100 m test demonstrated a high correlation (r = 0.734; = 0.006), strong reliability index (ICC: 0.978; IC95%: [0.960; 0.980]; = 0.001) and was within usable agreement limits (Bland -Altman Agreement: -0.60 to 0.60; 95% CI [-0.65; 0.67]).
The mathematical model developed to predict 2000 m performance is effective and has a statistically significant reliability index while being easy to implement with low cost.
奥运赛艇青年运动员在重要比赛前要进行一系列详尽的测试，这意味着身体承受着巨大压力，最终可能会影响情绪和动力，对他们的训练和表现产生负面影响。因此，有必要开发一种工具，该工具只需利用短距离的表现，但具有高度预测性，能提供高可靠性的时间预期。这样的测试必须使用易于收集且在教练日常工作中具有高度实际适用性的变量。
本研究的目的是开发一种数学模型，该模型能够根据青年赛艇运动员在室内划船测功仪（IRE）上进行的全力100米测试来预测2000米赛艇成绩。
样本包括12名青少年男子赛艇运动员（15.9±1.0岁）。在IRE上进行了100米计时赛，随后在24小时后进行了2000米计时赛。
基于最大100米测试预测以分钟为单位的2000米成绩的数学模型显示出高度相关性（r = 0.734；P = 0.006）、强可靠性指数（ICC：0.978；IC95%：[0.960；0.980]；P = 0.001），并且在可用一致性限度内（布兰德-奥特曼一致性分析：-0.60至0.60；95%CI[-0.65；0.67]）。
所开发的用于预测2000米成绩的数学模型是有效的，具有统计学上显著的可靠性指数，且易于实施且成本低廉。
