Prediction of Athletic Injury with a Functional Movement Screen
Hall, Tyler R.
The Functional Movement Screen[superscript]TM (FMS) is a screening tool designed to quantify movement quality. The ability of the FMS to identify individuals likely to be injured has been examined in athletic and military settings. However, the predictive ability of the FMS has not been examined in a cohort of intercollegiate football players. PURPOSE: The purpose of this study was to determine if the FMS, body mass index (BMI), or two bilateral body mass asymmetry measures accurately predict injury in intercollegiate football players over the course of one season. METHODS: Participants (N = 81) were tested using the FMS protocol. Seven tests were scored on a 0 to 3 scale resulting in a possible composite score of 21. Participants were categorized as having positive or negative tests based on 14-point and 15-point cutoff scores. BMI was calculated from measured height and weight. Participants were categorized as having positive or negative tests based on a BMI [greater than or equal to] 30 kg·m⁻². Bilateral body mass asymmetry was assessed twice by weighing participants on two identical scales with one foot on each scale. Feet were placed a standardized distance (one-third of height) apart for one measure and shoulder width apart for the second measure. Participants were categorized as having positive or negative tests based on a difference between the two scales of [greater than or equal to] 5% of body mass. Injury reports were obtained from the athletic training staff. Musculoskeletal injuries were classified via NCAA Injury Surveillance System criteria. Participants were categorized as injured or not injured based on injury reports. Intrarater reliability was estimated for the FMS on all participants by viewing videotaped procedures. Interrater reliability was estimated on 18 participants viewed in real time by two raters. Sensitivity and specificity were calculated to examine the accuracy of the different screening measures to identify participants who were injured or not injured. RESULTS: Participants had a mean composite FMS score of 15.4 ± 1.7) and a mean BMI of 30.1 (± 5.3) kg·m⁻². Bilateral body mass asymmetry measures averaged 4 (± 3) percent of body mass for the standardized difference and 5 (± 5) percent of body mass for the shoulder width difference. Intraclass correlation coefficients for intrarater reliability (.94) and interrater reliability (.92) for the composite FMS score were high. Forty-three injuries (17 direct contact, 12 indirect contact, 11 non-contact, 2 overuse, and 1 unknown mechanism) to 31 players were reported. No significant relationship was found between the FMS, BMI, or the bilateral body mass asymmetry measures and injury (p > .05). Sensitivity values were: FMS 14-point cutoff = .26, FMS 15-point cutoff = .42, BMI cutoff = .42, bilateral body mass asymmetry standardized difference cutoff = .31, bilateral body mass asymmetry shoulder width difference cutoff = .52. Specificity values were: FMS 14-point cutoff = .70, FMS 15-point cutoff = .51, BMI cutoff = .64, bilateral body mass asymmetry standardized difference cutoff = .74, bilateral body mass asymmetry shoulder width difference cutoff = .68. CONCLUSIONS: The FMS can be used reliably with intercollegiate football players, but the validity of the FMS to predict athletic injury is questionable. The FMS did not predict injury more accurately than anthropometrically derived measurements. Although as accurate as the FMS, BMI and the two bilateral body mass asymmetry measures did not accurately predict injury.
Hall, Tyler R.. (January 2014). Prediction of Athletic Injury with a Functional Movement Screen (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/4417.)
Hall, Tyler R.. Prediction of Athletic Injury with a Functional Movement Screen. Master's Thesis. East Carolina University, January 2014. The Scholarship. http://hdl.handle.net/10342/4417. September 21, 2018.
Hall, Tyler R., “Prediction of Athletic Injury with a Functional Movement Screen” (Master's Thesis., East Carolina University, January 2014).
Hall, Tyler R.. Prediction of Athletic Injury with a Functional Movement Screen [Master's Thesis]. Greenville, NC: East Carolina University; January 2014.
East Carolina University