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足球运动员慢性踝关节不稳的预测因素

Predictors of Chronic Ankle Instability Among Soccer Players.

作者信息

Alanazi Ahmad

机构信息

Department of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.

出版信息

Medicina (Kaunas). 2025 Mar 21;61(4):555. doi: 10.3390/medicina61040555.

Abstract

: Chronic ankle instability (CAI) is prevalent among soccer players, often resulting from recurrent ankle injuries (RAIs). Despite its impact on performance and long-term joint health, the associated risk factors remain insufficiently explored. This study aimed to identify the key risk factors for CAI among soccer players. : A cross-sectional study was conducted among 310 soccer players from different professional sports clubs. The Arabic version of the Cumberland Ankle Instability Tool (Ar-CAIT) was used to assess ankle instability. Spearman's rho correlation and multiple linear regression were used to identify significant predictors of CAI. Additionally, structural equation modeling (SEM) was used to conduct mediation analysis and evaluate potential indirect effects. : Spearman's correlation analysis revealed significant negative associations between Ar-CAIT scores and both BMI ( = -0.158, < 0.05) and RAI ( = -0.273, < 0.01), while training hours were positively correlated with Ar-CAIT scores ( = 0.169, < 0.05). Multiple regression analysis confirmed that higher BMI (β = -0.133, = 0.017) and a greater number of ankle injuries (β = -0.285, < 0.001) were associated with lower Ar-CAIT scores, whereas increased training hours (β = 0.140, = 0.010) were predictive of better ankle stability. Mediation analysis revealed that BMI and training hours partially mediate the relationship between RAI and Ar-CAIT scores. : RAI, elevated BMI, and reduced training hours were significant predictors of CAI in soccer players. These findings emphasize the importance of implementing targeted injury prevention and rehabilitation strategies, particularly focusing on weight management and structured training programs to reduce CAI risk. Future longitudinal studies are required to explore the underlying mechanisms contributing to CAI development.

摘要

慢性踝关节不稳(CAI)在足球运动员中很常见,通常由反复的踝关节损伤(RAIs)引起。尽管其对运动表现和长期关节健康有影响,但相关风险因素仍未得到充分研究。本研究旨在确定足球运动员中CAI的关键风险因素。

对来自不同职业体育俱乐部的310名足球运动员进行了一项横断面研究。使用坎伯兰踝关节不稳工具的阿拉伯语版本(Ar-CAIT)评估踝关节不稳情况。采用斯皮尔曼等级相关和多元线性回归来确定CAI的显著预测因素。此外,使用结构方程模型(SEM)进行中介分析并评估潜在的间接影响。

斯皮尔曼相关性分析显示,Ar-CAIT评分与BMI(r = -0.158,P < 0.05)和RAI(r = -0.273,P < 0.01)均呈显著负相关,而训练时长与Ar-CAIT评分呈正相关(r = 0.169,P < 0.05)。多元回归分析证实,较高的BMI(β = -0.133,P = 0.017)和更多的踝关节损伤次数(β = -0.285,P < 0.001)与较低的Ar-CAIT评分相关,而增加训练时长(β = 0.140,P = 0.010)可预测更好的踝关节稳定性。中介分析表明,BMI和训练时长部分介导了RAI与Ar-CAIT评分之间的关系。

RAI、升高的BMI和减少的训练时长是足球运动员CAI的显著预测因素。这些发现强调了实施有针对性的损伤预防和康复策略的重要性,特别是注重体重管理和结构化训练计划以降低CAI风险。未来需要进行纵向研究以探索导致CAI发生的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e71/12028384/04b5a0787206/medicina-61-00555-g001.jpg

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