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通过 gembris 预测模型和网络关联分析探索体育记录演变的动态。

Exploring the dynamics of sports records evolution through the gembris prediction model and network relevance analysis.

机构信息

Department of Physical Education, Civil Aviation Flight University of China, Guanghan, China.

Institute of aviation sports, Civil Aviation Flight University of China, Guanghan, China.

出版信息

PLoS One. 2024 Sep 19;19(9):e0307796. doi: 10.1371/journal.pone.0307796. eCollection 2024.

DOI:10.1371/journal.pone.0307796
PMID:39298429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11412484/
Abstract

BACKGROUND

Sports records hold valuable insights into human physiological limits. However, presently, there is a lack of integration and evolutionary patterns in the recorded information across various sports.

METHODS

We selected sports records from 1992 to 2018, covering 24 events in men's track, field, and swimming. The Gembris prediction model calculated performance randomness, and Pearson correlation analysis assessed network relevance between projects. Quantitative study of model parameters revealed the impact of various world records' change range, predicted value, and network correlation on evolutionary patterns.

RESULTS

  1. The evolution range indicates that swimming events generally have a larger annual world record variation than track and field events; 2) Gembris's predictions show that sprint, marathon, and swimming records outperform their predicted values annually; 3) Network relevance analysis reveals highly significant correlations between all swimming events and sprints, as well as significant correlations between marathon and all swimming events.

CONCLUSION

Sports record evolution is closely linked not only to specific sports technology but also to energy expenditure. Strengthening basic physical training is recommended to enhance sports performance.

摘要

背景

运动记录为人类生理极限提供了有价值的见解。然而，目前，各种运动的记录信息缺乏整合和进化模式。

方法

我们选择了 1992 年至 2018 年的运动记录，涵盖了男子田径和游泳的 24 个项目。Gembris 预测模型计算了性能随机性，Pearson 相关分析评估了项目之间的网络相关性。对模型参数的定量研究揭示了各种世界纪录变化范围、预测值和网络相关性对进化模式的影响。

结果

1）进化范围表明，游泳项目的年度世界纪录变化通常大于田径项目；2）Gembris 的预测表明，短跑、马拉松和游泳记录每年都超过了它们的预测值；3）网络相关性分析表明，所有游泳项目与短跑之间存在高度显著的相关性，以及马拉松与所有游泳项目之间存在显著的相关性。

结论

运动记录的演变不仅与特定的运动技术密切相关，还与能量消耗有关。建议加强基础体能训练，以提高运动表现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/9206f2d3aa84/pone.0307796.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/513902a2c862/pone.0307796.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/d68ae260185c/pone.0307796.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/fad432062468/pone.0307796.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/9206f2d3aa84/pone.0307796.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/513902a2c862/pone.0307796.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/d68ae260185c/pone.0307796.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/fad432062468/pone.0307796.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30c/11412484/9206f2d3aa84/pone.0307796.g004.jpg

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