Wei Wei, Zhang Wei-Xu, Tang Liang, Ren Hong-Feng, Zhu Lv-Gang, Li Huan-le, Wang Yi, Chang Qi
Department of Orthopaedic, 989th Hospital of PLA, No. 2 W. Huaxia Rd, Luoyang City, Henan Province, 471031, China.
Department of Physical Education, Renmin University of China, No.59, Zhongguancun Street, Haidian Dist, Beijing, 100872, China.
Heliyon. 2024 Mar 16;10(6):e28299. doi: 10.1016/j.heliyon.2024.e28299. eCollection 2024 Mar 30.
The Functional Movement Screen (FMS) is widely recognized by clinicians and trainers as a valuable tool for the prediction and prevention of training injuries in sports population. However, some studies suggested that FMS may not fully meet the needs of professional athletes. To address this, the Modified Functional Movement Screen (MFMS) has been specifically developed for athletes.
A total of 527 male athletes in active service without prior training injuries 18.5 ± 1.2 years old) underwent the MFMS test, and their training injuries were monitored during a 2-year follow-up period. The ability of the MFMS to predict the risk of training injury was evaluated based on the receiver operating characteristic (ROC) curve of the total MFMS score. Binary logistic analysis was employed to examine the correlation between the 10 MFMS tests and the risk of training injury.
The injured group of athletes had significantly lower total MFMS scores compared to the healthy group (P < 0.001). The total MFMS score demonstrated a strong predictive ability for training injury risk, with an area under the ROC curve of 0.97 (P < 0.001). The calculated cut-off point was set at 22, yielding an odds ratio of 25.63, sensitivity of 0.94, and specificity of 0.88. Binary logistic regression analysis revealed a negative correlation between 6 MFMS tests and the risk of training injury.
The MFMS can effectively predict the risk of training injuries. Athletes with a total MFMS score below 22 are more susceptible to experiencing injuries during training.
功能动作筛查（FMS）被临床医生和训练师广泛认可为预测和预防运动员训练损伤的重要工具。然而，一些研究表明FMS可能无法完全满足职业运动员的需求。为了解决这一问题，专门为运动员开发了改良功能动作筛查（MFMS）。
共有527名现役男性运动员（年龄18.5±1.2岁，无既往训练损伤史）接受了MFMS测试，并在2年的随访期内监测他们的训练损伤情况。基于MFMS总分的受试者工作特征（ROC）曲线评估MFMS预测训练损伤风险的能力。采用二元逻辑回归分析来检验10项MFMS测试与训练损伤风险之间的相关性。
与健康组相比，受伤组运动员的MFMS总分显著更低（P<0.001）。MFMS总分对训练损伤风险具有很强的预测能力，ROC曲线下面积为0.97（P<0.001）。计算得出的截断点设定为22，优势比为25.63，敏感性为0.94，特异性为0.88。二元逻辑回归分析显示6项MFMS测试与训练损伤风险呈负相关。
MFMS能够有效预测训练损伤风险。MFMS总分低于22分的运动员在训练期间更容易受伤。
