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跨学科体育研究能够更好地预测比赛成绩、识别个体差异并量化任务表征。

Interdisciplinary Sport Research Can Better Predict Competition Performance, Identify Individual Differences, and Quantify Task Representation.

作者信息

Piggott Ben, Müller Sean, Chivers Paola, Cripps Ashley, Hoyne Gerard

机构信息

School of Health Sciences, University of Notre Dame, Fremantle, WA, Australia.

Discipline of Exercise Science, Murdoch University, Murdoch, WA, Australia.

出版信息

Front Sports Act Living. 2020 Feb 27;2:14. doi: 10.3389/fspor.2020.00014. eCollection 2020.

Abstract

Sport performance consists of interacting individual, task and environmental constraints, but research has used a monodisciplinary, rather than an interdisciplinary approach to understand performance. This study used Australian football (AF) as the exemplar sport to investigate the value of an interdisciplinary approach to understand sport performance. Through this, it was also possible to quantify individual differences and representative task design. Fifty-nine semi-professional Australian footballers participated. Based upon accessibility, combinations of these players completed physiological (3 × 1 km trial) and perceptual-cognitive-motor (small-sided game, SSG) tests, with coach rating of psychological skill (mental toughness coach, MTC). Univariate monodisciplinary models indicated that all tests predicted disposal efficiency; 3 × 1 km trial ( = 0.047), SSG ( = 0.001), and MTC ( = 0.035), but only the SSG predicted coaches' vote ( = 0.003). A multivariate interdisciplinary model indicated that SSG and MTC tests predicted disposal efficiency with a better model fit than the corresponding univariate model. The interdisciplinary model formulated an equation that could identify individual differences in disposal efficiency. In addition, the interdisciplinary model showed that the higher representative SSG test contributed a greater magnitude to the prediction of competition performance, than the lower representative MTC rating. Overall, this study demonstrates that a more comprehensive understanding of sport performance, individual differences, and representative tasks, can be obtained through an interdisciplinary approach.

摘要

运动表现由个体、任务和环境约束因素相互作用构成,但研究采用的是单一学科而非跨学科方法来理解运动表现。本研究以澳大利亚足球(AF)为例,探讨跨学科方法在理解运动表现方面的价值。通过该研究,还能够量化个体差异并设计具有代表性的任务。59名半职业澳大利亚足球运动员参与了研究。基于可及性,这些运动员组合完成了生理测试(3×1公里测试)和感知-认知-运动测试(小型比赛,SSG),并由教练对心理技能进行评分(心理韧性教练评分,MTC)。单变量单一学科模型表明,所有测试均能预测传球效率;3×1公里测试(=0.047)、SSG(=0.001)和MTC(=0.035),但只有SSG能预测教练的投票(=0.003)。多变量跨学科模型表明,与相应的单变量模型相比,SSG和MTC测试预测传球效率的模型拟合度更好。跨学科模型构建了一个方程,可识别传球效率方面的个体差异。此外,跨学科模型表明,与代表性较低的MTC评分相比,代表性较高的SSG测试对比赛表现预测的贡献更大。总体而言,本研究表明,通过跨学科方法能够更全面地理解运动表现、个体差异和具有代表性的任务。

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