Functional Action Biological Image Data Screening Method to Reduce Sports Injury

Abstract

Introduction: The Functional Movement Test (FMS) is an evaluation method for the basic movement patterns of the human body that is designed by Gray Cook. Objective: This paper explores the application value of functional action test (FMS) biological image data in the risk assessment of sports injuries of Chinese rugby players. Methods: Taking the active national football team and provincial football players as the object, the standard FMS test is used to collect the data to determine the best deadline for the total FMS score. Results: The area under the ROC curve (AUC) of the overall athletes, men and women was significantly different from the assumption of AUC=0.5, which were 0.780 (P=0.000), 0.877 (P=0.001), 0.7130 (P=0.013); The best cutoff points corresponding to the total score of FMS are 13.5 points, 15.5 points, and 13.5 points, respectively. The chi-square test showed that the prevalence of the positive group (the total FMS score was less than the corresponding cutoff point) was significantly higher than the negative group (the total FMS score was greater than the corresponding cutoff point) (P<0.01). The OR values of the total athlete, male and female FMS total score positive groups were 25.85 (95%CI: 3.34∼200.23), 25.00 (95%CI: 2.36∼264.80), 14.22 (95%CI: 1.76∼114.92). Conclusions: Among Chinese rugby players, the total score of FMS has a strong correlation with non-contact sports injuries. The score is 13.5 for women and 15.5 for men. Level of evidence II; Therapeutic studies - investigation of treatment results.