The ability of the FMS to predict knee injury in female collegiate athletes

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Mara Lee Mohler (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site:
Sandra J. Shultz

Abstract: Non-contact knee injuries are one of the most common injuries among athletes that participate in sports that require cutting, quick deceleration and jumping actions. Researchers and clinicians have attempted to develop screening tools to identify those at increased risk for knee injury. The primary purpose of this study was to determine the extent to which the Functional Movement Screen (FMS) can predict non-contact knee and lower extremity injuries. The secondary purpose was to identify if certain lower extremity components of the FMS were more predictive of increased risk for these lower extremity injuries than the total score (which includes upper body movement dysfunctions). Female athletes from UNCG's division I basketball, cheer, soccer, softball, tennis, and volleyball teams comprised the sample. The subjects were scored live and video recorded as they completed the entire FMS, and non-contact knee and lower extremity injury data were collected throughout their seasons. Intra-rater reliability of FMS screening was determined using percent agreement. Receiver operating characteristic (ROC) curves were used to determine if there was a particular score that was best able to distinguish between those who were injured and those who were not. Chi-square analyses determined if lower scores on specific lower extremity components of the FMS or the total FMS score were more likely to be found in injured subjects. Four subjects sustained non-contact knee injuries and twenty-four subjects sustained other non-contact lower extremity injuries. The mean FMS score for all subjects (n=72) was 16.33± 1.59. Percent agreement from live to video scoring for the final score was 60%. Percent agreement between day one and day two video scoring was 100%. The primary findings were that neither the final score of the FMS nor the individual subcomponents scores of the FMS were able to distinguish between uninjured and those who sustained non-contact knee or lower extremity injury in the female population studied. However, there was a trend toward more asymmetries in uninjured compared to injured athletes. Due to the small sample size and a low incidence of knee injury, all non-contact lower extremity injuries were included. Combining all types and severities of injuries together may have confounded the ability of specific components of the FMS to predict injury, as it is expected that different injuries may have different biomechanical faults as risk factors. Future studies should use a longitudinal design where a larger population can be followed over multiple sports seasons so that injury can be stratified by severity and type. Future studies may also benefit by tracking male and female athletes to better understand the gender comparisons in movement patterns and injury rates. Asymmetry should be examined to determine if it represents an injury risk factor versus a normal functional adaptation in certain sports.

Additional Information

Language: English
Date: 2014
Functional Movement Screen, Non-contact knee injury
Knee $x Wounds and injuries
Women athletes $x Wounds and injuries

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