The purpose of this article was to determine whether the compensatory movements that college athletes perform to achieve high and improved performance predispose to injury. Functional Movement Screening (FMS) was used to evaluate these athletes to determine if injury in this population could be predicted with this tool. What led the researchers to do this research was the fact that few studies have investigated the use of FMS and its ability to predict injuries in athletes. On the one hand, Peate studied the relationship between FMS and previous injuries in firefighters, while Kiesel examined FMS scores in professional football athletes. Although female athletes have the highest number of injuries within the athletic population, no study has been conducted to determine whether FMS could detect an injury. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay. Participants in this study were thirty-eight female student-athletes between the ages of 18 and 26 who were on NCAA Division II football, volleyball, and basketball teams. Within the requirements for participation in this study, no injuries could have occurred in the 30 days prior to participation in the study. Otherwise, if the athlete had suffered an injury within the previous 30 days that resulted in her not participating in her sport, she was excluded from the study. Furthermore, university permission was granted prior to the study. All participants were required to provide informed consent and complete a medical history. Participants were assessed within two weeks of the start of their corresponding sport's season. The movements that the participants had to perform were based on those composed by the FMS. These movement tests were: deep squat, hurdle step, in-line lunge, shoulder mobility, active straight leg raise, trunk stability push-up, and rotation stability. A score of 14 points (maximum score of 21) on the FMS was used to determine the relationship between a low score and injury. The evaluations were analyzed by two experts in the use of FMS and by a third person responsible for video recording. Please note: this is just an example. Get a customized paper from our expert writers now. Get a Custom Essay The mean FMS score and standard deviation (SD) for all subjects (n=38) included in the study was 14.3 ± 1.77 (maximum score of 21). The mean FMS score was 13.9 ± 2.12 for individuals who sustained an injury and a mean score of 14.7 ± 1.29 for those who did not sustain an injury. A score of 14/21 or less was significantly associated with injury, which in this study was 69%. The mean FMS scores for subjects in sports corresponding with the number of injuries can be seen in Table 3. The conclusion of this investigation is that compensatory fundamental movement patterns can increase the risk of injury in female collegiate athletes and can be identified using a functional movement screening tool.