The application of modified functional movement screen as predictor of training injury in athletes

Wei Wei; Wei-Xu Zhang; Liang Tang; Hong-Feng Ren; Lv-Gang Zhu; Huan-le Li; Yi Wang; Qi Chang

doi:10.1016/j.heliyon.2024.e28299

The application of modified functional movement screen as predictor of training injury in athletes

Heliyon. 2024 Mar 16;10(6):e28299. doi: 10.1016/j.heliyon.2024.e28299. eCollection 2024 Mar 30.

Authors

Wei Wei¹, Wei-Xu Zhang¹, Liang Tang¹, Hong-Feng Ren¹, Lv-Gang Zhu¹, Huan-le Li¹, Yi Wang², Qi Chang¹

Affiliations

¹ Department of Orthopaedic, 989th Hospital of PLA, No. 2 W. Huaxia Rd, Luoyang City, Henan Province, 471031, China.
² Department of Physical Education, Renmin University of China, No.59, Zhongguancun Street, Haidian Dist, Beijing, 100872, China.

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

Keywords: Athlete; Functional movement screen; Physical function; Training injury.