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执行功能预测顶级足球运动员的成功。

Executive functions predict the success of top-soccer players.

机构信息

Department of Clinical Neuroscience, Karolinska Institutet Stockholm, Stockholm, Sweden.

出版信息

PLoS One. 2012;7(4):e34731. doi: 10.1371/journal.pone.0034731. Epub 2012 Apr 4.

Abstract

While the importance of physical abilities and motor coordination is non-contested in sport, more focus has recently been turned toward cognitive processes important for different sports. However, this line of studies has often investigated sport-specific cognitive traits, while few studies have focused on general cognitive traits. We explored if measures of general executive functions can predict the success of a soccer player. The present study used standardized neuropsychological assessment tools assessing players' general executive functions including on-line multi-processing such as creativity, response inhibition, and cognitive flexibility. In a first cross-sectional part of the study we compared the results between High Division players (HD), Lower Division players (LD) and a standardized norm group. The result shows that both HD and LD players had significantly better measures of executive functions in comparison to the norm group for both men and women. Moreover, the HD players outperformed the LD players in these tests. In the second prospective part of the study, a partial correlation test showed a significant correlation between the result from the executive test and the numbers of goals and assists the players had scored two seasons later. The results from this study strongly suggest that results in cognitive function tests predict the success of ball sport players.

摘要

虽然在体育运动中,身体能力和运动协调性的重要性是无可争议的,但最近人们越来越关注对不同运动重要的认知过程。然而,这些研究通常针对特定于运动的认知特征,而很少有研究关注一般认知特征。我们探讨了一般执行功能的测量是否可以预测足球运动员的成功。本研究使用了标准化的神经心理学评估工具,评估了球员的一般执行功能,包括在线多处理,如创造力、反应抑制和认知灵活性。在研究的第一个横断面部分,我们比较了高级组(HD)、低级组(LD)和标准化常模组之间的结果。结果表明,男性和女性的 HD 和 LD 球员在执行功能方面的测量值明显优于常模组。此外,HD 球员在这些测试中的表现优于 LD 球员。在研究的第二个前瞻性部分,部分相关测试显示,执行测试的结果与球员在两个赛季后进球和助攻的数量之间存在显著相关性。这项研究的结果有力地表明,认知功能测试的结果可以预测球类运动员的成功。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7d7/3319604/a6067ce47696/pone.0034731.g001.jpg

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