Abstract
Functional Movement Screen (FMS) scores of <14 have been used to predict injury in athletic populations. Clinicians prioritize individual test scores of “1” and asymmetries when designing corrective exercise programs. Therefore, the presence of either of these may have more utility in predicting injury. The purpose of this study was to determine if the presence of a score of “1” or a left to right asymmetry in individual FMS tests would predict injury in collegiate athletes. 94 male and female collegiate athletes with no recent history of musculoskeletal injury performed the FMS during preseason. Injury incidence data were tracked for an academic year by each team’s certified athletic trainer via computer software. Injury was defined as physical damage to the body secondary to physical training and where the athlete sought medical care. Total FMS scores were categorized as low (<14) or high (>14). Pearson Chi-square analyses were used to determine if (a) total FMS scores could predict injury, and (b) the presence of “1” or an asymmetry could predict injury. Athletes with FMS scores of >14 were not any more likely to sustain an injury. However, athletes with individual scores of “1” or an asymmetry were 6.8x more likely to sustain an injury. Total FMS scores could not be used to predict injury in this group. However, the presence of a score of “1” or an asymmetry in the individual tests did predict injury. Individual test scores may provide better guidance for clinicians in developing injury prevention programs.
Faculty Sponsors
Dr. Monique Mokha
Project Type
Event
Location
Alvin Sherman Library
Start Date
4-4-2014 1:00 PM
End Date
4-4-2014 5:30 PM
Total FMS Scores Do Not Predicty Injury but Asymmetries and Low Individual Scores Do
Alvin Sherman Library
Functional Movement Screen (FMS) scores of <14 have been used to predict injury in athletic populations. Clinicians prioritize individual test scores of>“1” and asymmetries when designing corrective exercise programs. Therefore, the presence of either of these may have more utility in predicting injury. The purpose of this study was to determine if the presence of a score of “1” or a left to right asymmetry in individual FMS tests would predict injury in collegiate athletes. 94 male and female collegiate athletes with no recent history of musculoskeletal injury performed the FMS during preseason. Injury incidence data were tracked for an academic year by each team’s certified athletic trainer via computer software. Injury was defined as physical damage to the body secondary to physical training and where the athlete sought medical care. Total FMS scores were categorized as low (<14) or high (>14). Pearson Chi-square analyses were used to determine if (a) total FMS scores could predict injury, and (b) the presence of “1” or an asymmetry could predict injury. Athletes with FMS scores of >14 were not any more likely to sustain an injury. However, athletes with individual scores of “1” or an asymmetry were 6.8x more likely to sustain an injury. Total FMS scores could not be used to predict injury in this group. However, the presence of a score of “1” or an asymmetry in the individual tests did predict injury. Individual test scores may provide better guidance for clinicians in developing injury prevention programs.
