Predicting injuries in NCAA runners using the Functional Movement Screen (FMS(TM))

by Padilla, Ricardo, M.S., CALIFORNIA STATE UNIVERSITY, FULLERTON, 2014, 30 pages; 1524807


The Functional Movement Screen (FMS) has shown some efficacy in predicting injury in several different populations. However, no research has examined whether the FMS can predict injury in repetitive motion athletes, such as runners. This study will examine whether the FMS can prospectively predict injury in a group of collegiate (Division I) sprinters and cross-country runners. 64 division I collegiate runners (31 sprinters, 33 cross country) volunteered for this study (35 male, 29 female, age = 19.26±1.16, height = 1.74±0.09m, weight = 63.4±8.9kg). FMS testing was performed and injuries were then tracked throughout the athletic season. Athletes who sustained injuries (FMS Score: 15.9±1.9) had a significantly higher (p < 0.05) FMS scores than those who were non-injured (FMS Score: 14.6±1.9). Logistic regression revealed that the FMS was a good predictor of injury and a one unit increase in FMS score resulted in an increased risk of injury by 1.5 times (P = 0.0 139; 95% confidence interval = 1.1-2.0). The ROC curve resulted in a poor score (<0.70) and was not able to identify cut points for injury prediction. Unexpectedly, higher FMS scores led to an increased injury risk in collegiate runners. It has been suggested that in order to maintain optimal musculoskeletal health, one must have variety in their movements and postures. Since runners do not get variety in movements from their sport/training, perhaps those with lower FMS scores are achieving that variability, and avoiding injury, through their more variable movement patterns.

AdviserScott K. Lynn
Source TypeThesis
SubjectsPhysical therapy; Kinesiology
Publication Number1524807

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