Purpose: To investigate if the Functional Movement Screen (FMSâ„¢) total score, individual component test scores or number of asymmetries can predict noncontact injury risk or player performance over three consecutive seasons of NCAA Division I football. Methods: As football teams are comprised of individuals with vastly different physical characteristics and playing responsibilities, we divided the subjects into three homogeneous groups based on position (Big, Combo and Skill). Each FMSâ„¢ score was assessed with regard to the total team score as well as by individual position groups. For our injury analysis we also controlled for exposure. For player performance we controlled for plays played.Participants: 286 NCAA Division I athletes participated over three consecutive seasons, yielding a total of 344 observations.Results: We found no significant relationship between total FMSâ„¢ score and likelihood of injury when analyzed by the total team or by position group. These findings were the same for all groups, for both the total number of injuries as well as injuries weighted by injury exposure. The only significant findings occurred when we considered individual Test Item scores to injury by position group. We only found a significant relationship in the expected direction with Push-Up Stability in the Combo group. Regarding performance, total FMSâ„¢ was only significant for the Big group, but this effect was not practically significant.Conclusion: FMSâ„¢ was not a good predictor of noncontact injury or performance based on possible playing time.

The Functional Movement Screen (FMS), invented in 1995, has been adopted among Division One sports programs across the country. Being a women’s soccer player at the University of Central Florida (UCF), this particular topic had been of interest for years. The FMS is a series of seven tests evaluated at the beginning and end of each season. The UCF team's preventative rehabilitation was based upon the measurements from the FMS testing. The team engaged in preventative rehabilitation three times a week. Each year of my membership, the team of 28 to 30 players had no less than two anterior cruciate ligament tears each season. This research explored the effectiveness of the Functional Movement Screening, and its' predictive ability regarding injury to possibly prevent future injuries. The purpose of this study was to review literature of multiple studies exploring the Functional Movement Screen, the anterior cruciate ligament, and, specifically, the recent spike in women's collegiate soccer injuries. This study also examined and included findings from five years of FMS scoring data from the UCF women's soccer team. The study consisted of 43 participants, 29 in the control group and 14 in the test group (those who suffered and ACL tear). They were females, ages 18-23, and of fit manner. Multivariate analysis, independent and dependent T-Tests, and Leven's test ran these data. This study also investigated the reliability of the Functional Movement Screen and analyzed data about anterior cruciate ligament injuries among women’s collegiate soccer players. Recommendations for future protocols and implications for coaches, trainers, and women soccer players are provided.

No description available.

xiii, 89 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. / Participation in athletics includes an inherent risk of becoming injured that is related to the nature of the games and activities of the players. Current literature reports that approximately seven million high school students participate in sports yearly in the United States and, during the 2005-2006 sport seasons, 1.4 million injuries were reported. Considering this high number of injuries, there is little doubt that definitive research into the determination of factors that might help predict the degree of injury risk associated with sport participation is warranted. Despite common association of variables such as joint laxity, range of motion, strength and balance with injury, these traditional measures have not proven to be reliable predictors of vulnerability. Consequently, attempts have been made to identify practical methods that may better permit identification of individuals who show a high likelihood of injury during athletic competition. This study examined one such system, the Functional Movement Screen (FMS), which utilizes measures of mobility and stability to permit its developers to assert that it can be used to practically and accurately identify vulnerable athletes. Critical data on inter-rater and intra-rater performance were first obtained on a team of athletic trainers to ensure that they could reliably execute the testing methods. Following confirmation of this fact, 112 high school basketball athletes were screened with the FMS and their injuries (non-contact neuromusculoskeletal tissue damage in school-sanctioned basketball) were tracked throughout an entire season. Data analysis to determine if a commonly-used FMS cutoff score of less than 14 out of 21 could identify vulnerable athletes revealed that this value was not significantly related to the likelihood of sustaining an injury. Furthermore, logistic regression revealed that none of the individual predictors (gender, FMS movements, and movement asymmetries) were significant predictors of injury susceptibility. The results indicate that, despite the fact that multiple evaluators and trials can be practically used to evaluate FMS scores in a large group of high school basketball athletes, the test does not appear to be a valid tool in assessing injury risk in this population during an entire season. / Committee in charge: Gary Klug, Chairperson, Human Physiology; Paul van Donkelaar, Member, Human Physiology; Andrew Lovering, Member, Human Physiology; Roland Good, Outside Member, Special Education and Clinical Sciences

xiii, 89 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. / Participation in athletics includes an inherent risk of becoming injured that is related to the nature of the games and activities of the players. Current literature reports that approximately seven million high school students participate in sports yearly in the United States and, during the 2005-2006 sport seasons, 1.4 million injuries were reported. Considering this high number of injuries, there is little doubt that definitive research into the determination of factors that might help predict the degree of injury risk associated with sport participation is warranted. Despite common association of variables such as joint laxity, range of motion, strength and balance with injury, these traditional measures have not proven to be reliable predictors of vulnerability. Consequently, attempts have been made to identify practical methods that may better permit identification of individuals who show a high likelihood of injury during athletic competition. This study examined one such system, the Functional Movement Screen (FMS), which utilizes measures of mobility and stability to permit its developers to assert that it can be used to practically and accurately identify vulnerable athletes. Critical data on inter-rater and intra-rater performance were first obtained on a team of athletic trainers to ensure that they could reliably execute the testing methods. Following confirmation of this fact, 112 high school basketball athletes were screened with the FMS and their injuries (non-contact neuromusculoskeletal tissue damage in school-sanctioned basketball) were tracked throughout an entire season. Data analysis to determine if a commonly-used FMS cutoff score of less than 14 out of 21 could identify vulnerable athletes revealed that this value was not significantly related to the likelihood of sustaining an injury. Furthermore, logistic regression revealed that none of the individual predictors (gender, FMS movements, and movement asymmetries) were significant predictors of injury susceptibility. The results indicate that, despite the fact that multiple evaluators and trials can be practically used to evaluate FMS scores in a large group of high school basketball athletes, the test does not appear to be a valid tool in assessing injury risk in this population during an entire season. / Committee in charge: Gary Klug, Chairperson, Human Physiology; Paul van Donkelaar, Member, Human Physiology; Andrew Lovering, Member, Human Physiology; Roland Good, Outside Member, Special Education and Clinical Sciences

Submitted in partial compliance with the requirements for the Master’s Degree in Technology: Chiropractic,Durban University of Technology, 2014. / Background The Functional Movement Screen (FMSTM) is a pre-participation screen consisting of seven tests that rate a player’s functional movement. The screen may be used as an indicator for injury susceptibility in sports people. This may be implemented for preventative measures and improving or sustaining performance in sport. Objectives This research aimed to identify normative values on the FMSTM for female premier league hockey players and assess the association between FMSTM scores and incidence of seasonal injuries. Secondary to this, the research also undertook to assess dependence of the FMSTM on other risk factors identified in the study such as age, number of years playing hockey, height, weight, BMI and position. These risk measures were also tested for association to injury susceptibility. Method The research evaluated the FMSTM score in female premier league hockey players in KwaZulu-Natal prior to the commencement of the competitive season and then tracked the incidence, frequency and distribution of injuries that were sustained during the season. All nine teams in the KwaZulu-Natal female premier hockey league were approached and the players voluntarily participated provided that they fitted the inclusion criteria. In total 74 players between the ages of 18 and 35 were assessed. SPSS version 20 was used in the data analysis to test for statistical significance of the results. Results and conclusions The research sample revealed a mean FMSTM score of 14.39 with a standard deviation of 2.4. The difference in average FMSTM score between the 18 players who sustained non-contact injuries during the course of the season and the 56 players who did not was shown to not be statistically significant at a 95% confidence level. Therefore, this research shows that no association can be made between a low score on the Functional Movement ScreenTM and injury susceptibility. The FMSTM score was shown to be an independent metric when compared to the other injury risk measures identified in the study and the other risk measures were also found to not reliably indicate injury susceptibility. Having said this, the association of weight, FMSTM and BMI with injury susceptibility warrants further investigation as these measures indicated a degree of association. / M