揭示影响:使用可穿戴传感器技术对橄榄球头部撞击生物力学见解的系统评价与荟萃分析

Unlocking the Impact: A Systematic Review and Meta-Analysis of Biomechanical Insights into Rugby Head Impacts Using Wearable Sensor Technology.

作者信息

De Sousa-De Sousa Luis, Espinosa Hugo G, Maté-Muñoz José Luis, Murias-Lozano Roberto, Muñiz Mario Iglesias, Obregón Francisco Javier San Sebastián, Solís-Mencía Cristian, García-Fernández Pablo

机构信息

Department of Radiology, Rehabilitation and Physiotherapy, Faculty of Nursing, Physiotherapy and Podiatry, Complutense University of Madrid, 28040, Madrid, Spain.

School of Engineering and Built Environment, Griffith University, Brisbane, QLD, 4111, Australia.

出版信息

Sports Med. 2025 May 3. doi: 10.1007/s40279-025-02228-z.

Abstract

BACKGROUND

In the realm of sports medicine, understanding the biomechanics of head impacts, particularly in contact sports such as rugby, is of utmost interest for injury prevention and player safety.

OBJECTIVE

This systematic review and meta-analysis aims to consolidate existing knowledge on head impacts in rugby using wearable sensor technology, focusing on peak linear acceleration, peak rotational acceleration, and impact location.

METHODS

A systematic search of electronic databases [PubMed, Web of Science (WOS), Scopus, Embase, SPORTDiscus, PsycINFO, and CINAHL] was conducted in March 2024, including studies that assessed head impacts with wearable technology in rugby athletes. The search did not impose any restrictions on publication dates and included studies published in English and Spanish. A random-effects meta-analysis model was employed to combine comparable data from the included studies.

RESULTS

The literature search yielded 13 prospective cohort studies, collectively analyzing 895 participants and 44,036 head impacts. Most studies were conducted in Australasia and North America, with varying levels of play represented, from junior to semi/professional and from both rugby codes, rugby union (RU) and rugby league (RL). Wearable sensors, including instrumented mouthguards and skin patches, were utilized to measure head impact kinematics, with peak linear acceleration consistently reported across all studies. Results reveal significant heterogeneity in peak linear and rotational acceleration, highlighting the complexity of quantifying impact magnitudes in rugby. Impact location analysis indicated side impacts as most prevalent (44%), followed by frontal (29%) and back impacts (19%). Notably, concussive events yielded a pooled peak linear acceleration estimate of 63.01 g, with the RL cohort exhibiting higher acceleration than RU.

CONCLUSION

This study contributes to the growing body of literature on head impacts in rugby; identifying available evidence on the magnitude and location of head impacts measured by sensors, and emphasizing the importance of wearable sensor technology in advancing player safety and informing injury management practices. Despite the valuable insights provided, limitations, including methodological inconsistencies and study heterogeneity, underscore the need for cautious interpretation. Further research is warranted to standardize protocols and enhance the understanding of effective injury prevention strategies in rugby. PROSPERO registration number: CRD42023480779 (20 November 2023).

摘要

背景

在运动医学领域,了解头部撞击的生物力学,尤其是在橄榄球等接触性运动中,对于预防损伤和运动员安全至关重要。

目的

本系统评价和荟萃分析旨在整合利用可穿戴传感器技术对橄榄球运动中头部撞击的现有知识,重点关注峰值线性加速度、峰值旋转加速度和撞击位置。

方法

2024年3月对电子数据库[PubMed、科学网(WOS)、Scopus、Embase、SPORTDiscus、PsycINFO和CINAHL]进行了系统检索,纳入评估橄榄球运动员使用可穿戴技术进行头部撞击的研究。检索未对出版日期设限,纳入英文和西班牙文发表的研究。采用随机效应荟萃分析模型合并纳入研究中的可比数据。

结果

文献检索得到13项前瞻性队列研究,共分析了895名参与者和44036次头部撞击。大多数研究在澳大拉西亚和北美进行,涵盖了从青少年到半职业/职业的不同比赛水平,以及橄榄球联盟(RU)和橄榄球联赛(RL)这两种橄榄球比赛形式。可穿戴传感器,包括仪器化护齿和皮肤贴片,用于测量头部撞击运动学,所有研究均一致报告了峰值线性加速度。结果显示,峰值线性加速度和旋转加速度存在显著异质性,突出了量化橄榄球撞击强度的复杂性。撞击位置分析表明,侧面撞击最为常见(44%),其次是正面撞击(29%)和背面撞击(19%)。值得注意的是,脑震荡事件的汇总峰值线性加速度估计值为63.01g,RL队列的加速度高于RU队列。

结论

本研究为橄榄球运动中头部撞击的文献积累做出了贡献;确定了关于传感器测量的头部撞击强度和位置的现有证据,并强调了可穿戴传感器技术在提高运动员安全性和为损伤管理实践提供信息方面的重要性。尽管提供了有价值的见解,但包括方法不一致和研究异质性在内的局限性强调了谨慎解释的必要性。有必要进一步开展研究以规范方案,并加深对橄榄球运动中有效损伤预防策略的理解。PROSPERO注册号:CRD42023480779(2023年11月20日)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索