Robertson Kamasha, Laureys Felien, Mostaert Mireille, Pion Johan, Deconinck Frederik J A, Lenoir Matthieu
Ghent University - Department of Movement and Sports Science.
HAN University of Applied Sciences, Department of Sport & Exercise Studies.
Biol Sport. 2022 Jan;39(1):79-94. doi: 10.5114/biolsport.2021.101603. Epub 2021 Mar 3.
The aim of the study was to identify benchmarks for anthropometric, physical performance, motor coordination, and psychological characteristics by comparing youth badminton players of different levels through the use of a multifactorial test battery. Sixty-one male participants aged 12-18 years were divided into three groups: elite (N = 10), sub-elite (N = 24), and novice (N = 27). Standard test batteries for anthropometry (including measures to estimate biological maturity), physical performance, and motor coordination were applied, as well as the modified PCDEQ2 questionnaire for psychological characteristics of youth athletes (Hill, 2016). Multivariate analyses of covariance (MANCOVAs) with age and biological maturity as covariates were used to investigate differences between skill levels. A discriminant analysis was used to reveal to what extent participants could be correctly assigned to their skill group. Significant differences were found in physical performance (explosive power, flexibility, speed, and endurance), BMI and motor coordination. In the psychological domain, perfectionism was found to be significantly different and elites scored highest. The discriminant analysis showed that 100% of the participants were correctly classified and 80.0% were correctly cross validated. These results significantly add to the previously limited youth players' reference values, and confirm the value of a generic, i.e. without sport-specific testing, multifactorial approach to talent identification in youth badminton.
本研究的目的是通过使用多因素测试组,比较不同水平的青少年羽毛球运动员,从而确定人体测量、身体机能、运动协调性和心理特征方面的基准。61名年龄在12至18岁之间的男性参与者被分为三组:精英组(N = 10)、次精英组(N = 24)和新手组(N = 27)。应用了人体测量(包括评估生物成熟度的指标)、身体机能和运动协调性的标准测试组,以及针对青少年运动员心理特征的改良版PCDEQ2问卷(希尔,2016年)。以年龄和生物成熟度作为协变量的多变量协方差分析(MANCOVA)用于研究技能水平之间的差异。判别分析用于揭示参与者能够被正确分配到其技能组的程度。在身体机能(爆发力、柔韧性、速度和耐力)、体重指数和运动协调性方面发现了显著差异。在心理领域,发现完美主义存在显著差异,精英组得分最高。判别分析表明,100%的参与者被正确分类,80.0%被正确交叉验证。这些结果显著增加了之前有限的青少年运动员参考值,并证实了一种通用的、即不进行特定运动测试的多因素方法在青少年羽毛球人才识别中的价值。