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重新构想运动员监测以真正预防指示性损伤。

Reimagining athlete monitoring for true indicative injury prevention.

作者信息

Jimenez Carlos, Verhagen Evert

机构信息

Amsterdam Collaboration on Health and Safety in Sports, Department of Public and Occupational Health, Amsterdam Movement Sciences, Amsterdam UMC, Amsterdam, The Netherlands.

Medical & Anti-Doping Unit, Football Division, UEFA, Nyon, Switzerland.

出版信息

BMJ Open Sport Exerc Med. 2025 Jun 3;11(2):e002479. doi: 10.1136/bmjsem-2025-002479. eCollection 2025.

DOI:10.1136/bmjsem-2025-002479
PMID:40487417
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12142129/
Abstract

Injury prevention and performance optimisation in sports are evolving from generic strategies to more personalised, timely and data-informed approaches. Traditional systems often rely on infrequent assessments and binary classifications of injury, which fail to reflect the complexity of athlete health. This perspective advocates for a refined approach to athlete screening and monitoring that captures historical and real-time data to support precise, context-driven decisions. We differentiate between screening as a point-in-time evaluation of underlying risk and monitoring as the continuous assessment of an athlete's changing condition. The key principles of this approach include using valid, outcome-specific measures, timely data collection close to decision points and seamless integration into daily practice. By moving beyond simplistic metrics and incorporating advanced analytical techniques, this approach offers a more nuanced and proactive way to manage athlete health. It bridges the gap between research and real-world application, supporting better decision-making and long-term performance outcomes.

摘要

运动中的损伤预防和表现优化正在从通用策略向更个性化、及时且基于数据的方法演变。传统系统通常依赖于不频繁的评估和损伤的二元分类,这无法反映运动员健康的复杂性。这种观点倡导采用一种改进的运动员筛查和监测方法,该方法可获取历史和实时数据,以支持精确的、基于具体情况的决策。我们区分筛查(作为对潜在风险的即时评估)和监测(作为对运动员不断变化状况的持续评估)。这种方法的关键原则包括使用有效的、针对特定结果的测量方法,在接近决策点时及时收集数据,并无缝融入日常实践。通过超越简单的指标并纳入先进的分析技术,这种方法提供了一种更细致入微且积极主动的方式来管理运动员健康。它弥合了研究与实际应用之间的差距,支持更好的决策制定和长期表现结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1f4/12142129/e74186eac001/bmjsem-11-2-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1f4/12142129/baf0b7742223/bmjsem-11-2-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1f4/12142129/e74186eac001/bmjsem-11-2-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1f4/12142129/baf0b7742223/bmjsem-11-2-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1f4/12142129/e74186eac001/bmjsem-11-2-g002.jpg

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本文引用的文献

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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods.人工智能在体育领域的诊断应用:损伤风险预测方法的全面综述
Diagnostics (Basel). 2024 Nov 10;14(22):2516. doi: 10.3390/diagnostics14222516.
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#ReadyToPlay: health problems in women's football-a two-season prospective cohort study in the Norwegian premier league.# 准备好参赛:女子足球运动员的健康问题——挪威超级联赛两个赛季的前瞻性队列研究
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The Running Injury Continuum: A qualitative examination of recreational runners' description and management of injury.
跑步损伤连续谱:对业余跑者对损伤的描述和管理的定性研究
PLoS One. 2023 Oct 4;18(10):e0292369. doi: 10.1371/journal.pone.0292369. eCollection 2023.
4
Personalized Injury Reduction Strategies in Sports Medicine: Lessons Learned from Advances in Breast Cancer Treatment: A Clinical Commentary.运动医学中的个性化损伤减少策略:从乳腺癌治疗进展中汲取的经验教训:一篇临床评论。
Int J Sports Phys Ther. 2023 Feb 1;18(1):253-261. doi: 10.26603/001c.57680. eCollection 2023.
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A review of machine learning applications in soccer with an emphasis on injury risk.机器学习在足球领域的应用综述,重点关注受伤风险。
Biol Sport. 2023 Jan;40(1):233-239. doi: 10.5114/biolsport.2023.114283. Epub 2022 Mar 16.
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External and Internal Load Variables Encountered During Training and Games in Female Basketball Players According to Playing Level and Playing Position: A Systematic Review.根据比赛水平和场上位置,女子篮球运动员在训练和比赛中遇到的外部和内部负荷变量:一项系统综述。
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'I JUST WANT TO RUN': how recreational runners perceive and deal with injuries.“我只想跑步”:业余跑步者如何看待和应对伤痛。
BMJ Open Sport Exerc Med. 2021 Sep 27;7(3):e001117. doi: 10.1136/bmjsem-2021-001117. eCollection 2021.
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Int J Environ Res Public Health. 2021 Mar 8;18(5):2721. doi: 10.3390/ijerph18052721.
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