Palermi Stefano, Vittadini Filippo, Vecchiato Marco, Corsini Alessandro, Demeco Andrea, Massa Bruno, Pedret Carles, Dorigo Alberto, Gallo Mauro, Pasta Giulio, Nanni Gianni, Vascellari Alberto, Marchini Andrea, Lempainen Lasse, Sirico Felice
Public Health Department, University of Naples Federico II, 80131 Naples, Italy.
Venezia FC, 30174 Venezia, Italy.
J Funct Morphol Kinesiol. 2023 Nov 6;8(4):155. doi: 10.3390/jfmk8040155.
Muscle injuries and subsequent reinjuries significantly impact athletes, especially in football. These injuries lead to time loss, performance impairment, and long-term health concerns. This review aims to provide a comprehensive overview of the current understanding of muscle reinjuries, delving into their epidemiology, risk factors, clinical management, and prevention strategies. Despite advancements in rehabilitation programs and return-to-play criteria, reinjury rates remain alarmingly high. Age and previous muscle injuries are nonmodifiable risk factors contributing to a high reinjury rate. Clinical management, which involves accurate diagnosis, individualized rehabilitation plans, and the establishment of return-to-training and return-to-play criteria, plays a pivotal role during the sports season. Eccentric exercises, optimal loading, and training load monitoring are key elements in preventing reinjuries. The potential of artificial intelligence (AI) in predicting and preventing reinjuries offers a promising avenue, emphasizing the need for a multidisciplinary approach to managing these injuries. While current strategies offer some mitigation, there is a pressing need for innovative solutions, possibly leveraging AI, to reduce the incidence of muscle reinjuries in football players. Future research should focus on this direction, aiming to enhance athletes' well-being and performance.
肌肉损伤及后续再损伤对运动员影响重大,在足球运动中尤为如此。这些损伤会导致时间损失、运动表现受损以及长期健康问题。本综述旨在全面概述目前对肌肉再损伤的认识,深入探讨其流行病学、风险因素、临床管理及预防策略。尽管康复计划和重返赛场标准有所进步,但再损伤率仍高得惊人。年龄和既往肌肉损伤是导致再损伤率高的不可改变的风险因素。临床管理包括准确诊断、个性化康复计划以及制定重返训练和重返赛场标准,在赛季中起着关键作用。离心运动、最佳负荷及训练负荷监测是预防再损伤的关键要素。人工智能在预测和预防再损伤方面的潜力提供了一条有前景的途径,强调了采用多学科方法管理这些损伤的必要性。虽然当前策略能起到一定缓解作用,但迫切需要创新解决方案,可能借助人工智能,以降低足球运动员肌肉再损伤的发生率。未来研究应朝此方向聚焦,旨在提高运动员的健康水平和运动表现。