Vrije Universiteit Amsterdam.
Amsterdam Rehabilitation Research Center.
Adapt Phys Activ Q. 2020 Oct 6;37(4):461-480. doi: 10.1123/apaq.2019-0143. Print 2020 Oct 1.
The classification system for handcycling groups athletes into five hierarchical classes, based on how much their impairment affects performance. Athletes in class H5, with the least impairments, compete in a kneeling position, while athletes in classes H1 to H4 compete in a recumbent position. This study investigated the average time-trial velocity of athletes in different classes. A total of 1,807 results from 353 athletes who competed at 20 international competitions (2014-2018) were analyzed. Multilevel regression was performed to analyze differences in average velocities between adjacent pairs of classes, while correcting for gender, age, and event distance. The average velocity of adjacent classes was significantly different (p < .01), with higher classes being faster, except for H4 and H5. However, the effect size of the differences between H3 and H4 was smaller (d = 0.12). Hence, results indicated a need for research in evaluating and developing evidence-based classification in handcycling, yielding a class structure with meaningful performance differences between adjacent classes.
该分类系统将运动员分为五个层次的组别,依据的是他们的残疾程度对运动表现的影响程度。H5 组的运动员残疾程度最小,采用跪地姿势参赛,而 H1 到 H4 组的运动员采用卧姿参赛。本研究调查了不同组别的运动员的平均计时赛速度。分析了 353 名运动员在 20 项国际比赛(2014-2018 年)中的 1807 个结果。进行多水平回归分析以分析相邻组之间的平均速度差异,同时校正性别、年龄和赛事距离的影响。相邻组的平均速度存在显著差异(p <.01),除 H4 和 H5 组外,较高组别的速度更快。然而,H3 和 H4 之间的差异效应较小(d = 0.12)。因此,结果表明需要对手动自行车运动的评估和发展循证分类进行研究,制定出相邻组别之间具有有意义的性能差异的分类结构。