Marszałek Jolanta, Kosmol Andrzej, Morgulec-Adamowicz Natalia, Mróz Anna, Gryko Karol, Klavina Aija, Skucas Kestutis, Navia José A, Molik Bartosz
Faculty of Rehabilitation, Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland.
Faculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland.
J Hum Kinet. 2022 Apr 26;82:243-252. doi: 10.2478/hukin-2022-000074. eCollection 2022 Apr.
Every parasport is currently encouraged to consider evidence-based classification to develop their respective classification system. Therefore, the aims of this study were to: (1) assess the relationship between trunk function and anaerobic power determining proficiency in wheelchair basketball, and (2) define "natural classes" in wheelchair basketball based on anaerobic power. Fifty-nine elite players (representing five national teams) were divided into four main functional classes: Group 1 (n=17), Group 2 (n=14), Group 3 (n=16), Group 4 (n=12). They performed the 6x10s Anaerobic Power Test using an arm crank ergometer. Average values of mean power, peak power, relative mean power, relative peak power, and power decrement were calculated for the 6x10s and 3x10s tests. The Spearman's correlation matrix revealed significant correlations between classes and values recorded in the 6x10s test. This confirmation between anaerobic power and players' classification endorses the division of players into different classes. Furthermore, cluster analysis (with fair quality) divided players into two "natural classes". The first resulting class was mainly formed of participants from Group 1 (71%). An important complement to this research could be to consider wheelchair acceleration and the volume of trunk action in wheelchair basketball classification.
目前鼓励每项残疾人体育运动都考虑基于证据的分级,以开发各自的分级系统。因此,本研究的目的是:(1)评估躯干功能与决定轮椅篮球技能水平的无氧功率之间的关系,以及(2)根据无氧功率定义轮椅篮球中的“自然类别”。59名精英运动员(代表五支国家队)被分为四个主要功能类别:第1组(n = 17)、第2组(n = 14)、第3组(n = 16)、第4组(n = 12)。他们使用手臂曲柄测力计进行了6×10秒无氧功率测试。计算了6×10秒和3×10秒测试的平均功率、峰值功率、相对平均功率、相对峰值功率和功率递减的平均值。斯皮尔曼相关矩阵显示了类别与6×10秒测试中记录的值之间的显著相关性。无氧功率与运动员分级之间的这种一致性认可了将运动员分为不同类别的划分。此外,聚类分析(质量尚可)将运动员分为两个“自然类别”。第一个产生的类别主要由第1组的参与者组成(71%)。这项研究的一个重要补充可能是在轮椅篮球分级中考虑轮椅加速度和躯干动作量。