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The Ability Of The Functional Movement Screen In Predicting Injury Rates In Division 1 Female Athletes
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Book Synopsis The Ability of the Functional Movement Screen in Predicting Injury Rates in Division 1 Female Athletes by : Matthew T. Brown
Download or read book The Ability of the Functional Movement Screen in Predicting Injury Rates in Division 1 Female Athletes written by Matthew T. Brown and published by . This book was released on 2011 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective: To determine if the FMS ® could predict lower extremity injury in division one women's basketball, soccer and volleyball athletes. The secondary purpose of this study was to examine factors in injury prediction related to contact mechanism. Finally, we wished to make FMS performance comparisons between women's basketball, soccer and volleyball players to establish baseline comparisons. Design, Setting, and Data Source: Testing and data collection was performed at The University of Toledo. The testing included the women's basketball, soccer and volleyball teams with the ages of the athletes ranging from 17 - 22 years old. Before testing, each subject completed a questionnaire providing demographics such as age, previous/current injuries, brace/tape use, and participation in conditioning programs. The data collected was separated into three groups: all subjects, subjects with previous history of lower extremity injury, and subjects without previous history of lower extremity injury. To determine if there was a significant difference in FMS ® scores between athletes that were injured and athletes that were not injured during the regular competitive seasons, independent t-tests were performed on each group with significance being set at P
Book Synopsis Ability of the Functional Movement Screen[TM] to Predict Injuries and Performance in Collegiate Track and Field Athletes by : Kendra L. Anderson
Download or read book Ability of the Functional Movement Screen[TM] to Predict Injuries and Performance in Collegiate Track and Field Athletes written by Kendra L. Anderson and published by . This book was released on 2016 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Functional Movement Screen (FMS) is a tool designed to identify limitations and compensatory movement patterns of individuals in order to help improve performance and decrease injuries. While research has demonstrated that the FMS can be assessed reliably across raters, evidence for the validity of the FMS to predict injury and performance is scarce. PURPOSE: The purposes of this study were to: (a) examine the ability of the Functional Movement Screen and a bilateral weight distribution measure to predict injuries in collegiate track and field athletes over the course of a season, and (b) determine if FMS scores are related to performance using the standing vertical jump performance test. METHODS: Collegiate track and field athletes (N = 36) completed the FMS protocol, a bilateral weight distribution test as a comparison measure, and the vertical jump as a performance test. The FMS consists of seven functional movements scored on a 0-3 scale rating the quality of movement patterns. A bilateral weight distribution test was used as a comparison measure to examine injury prediction. The bilateral weight distribution test was conducted by having the athlete stand on two scales with one foot on each to record asymmetrical differences in body mass. Measurements were taken with the athlete's feet at shoulder width distance apart and again with feet placed apart at 1/3 of his or her height. Results were categorized into positive and negative tests for the FMS based on a previously established cutoff score. A positive test was defined two ways: (a) a difference in body mass between scales of ≥ 3% and (b) a difference in body mass between scales of ≥ 5%. Interrater reliability was estimated by using a one-way analysis of variance to assess the consistency between two raters who concurrently scored 15 athletes. Injuries were monitored by the team's head athletic trainer and reported weekly throughout the season. Sensitivity and specificity values were calculated to examine the accuracy of the different screening methods to identify participants who were injuries or not injured. An accuracy statistic was calculated to show the probability of correct diagnosis (sustaining an injury and having a positive test or not sustaining an injury and having a negative test). Pearson product-moment correlations were calculated to examine the association between FMS and standing vertical jump performance. RESULTS: Interrater reliability for the total FMS score between the lead and secondary rater was excellent (ICC = .98, 95% CI = .94-.99). The mean ± SD for total FMS scores among all participants was 14.9 ± 2.7 (male: 15.4 ± 2.9; female: 14.8 ± 2.7). Of the 35 athletes, 25 athletes (71%) experienced at least one injury during the 9-week outdoor season. Due to a small sample size for males (n = 11), analysis focused on the female sample (n = 25). For the FMS among females, sensitivity was .65 and specificity was .75. Accuracy results showed that the FMS (accuracy = 68%) correctly diagnosed injury status better than the bilateral weight distribution measure with feet at shoulder width (accuracy = 32% [greather than or equal to] 5% difference in body mass and accuracy = 36% at [greather than or equal to] 3% difference in body mass) and at 1/3 of the participant's height (accuracy = 48% [greather than or equal to] 5% difference in body mass and accuracy = 36% at [greather than or equal to] 3% difference in body mass. Both tests were poor at predicting injury in the sample. No significant relationship was found between total FMS score and vertical jump performance for females (r = .11, p = .61). CONCLUSION: The FMS can be used reliably with track and field athletes; however, the ability of the FMS to accurately predict injury status was not supported in the current study. Although the FMS was slightly more accurate than the bilateral weight distribution measures at predicting injury status, the accuracy of the FMS to predict injury status in female in track and field athletes was modest. Total FMS scores were not related to vertical jump performance in female track and field athletes.
Book Synopsis The Capability of the Functional Movement Screen to Predict Injury in Division I Male and Female Track and Field Athletes by : Brent Appel
Download or read book The Capability of the Functional Movement Screen to Predict Injury in Division I Male and Female Track and Field Athletes written by Brent Appel and published by . This book was released on 2012 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The functional movement screen as a predictor of injury in NCAA Division II Collegiate Cross Country Runners by : Mark Brostman
Download or read book The functional movement screen as a predictor of injury in NCAA Division II Collegiate Cross Country Runners written by Mark Brostman and published by . This book was released on 2015 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Background: Participation in collegiate cross country has inherent injury risk. The Functional Movement Screen (FMS) has been used to identify increased relative injury risk in collegiate soccer, volleyball, and basketball athletes. Increased injury risk based on FMS performance in collegiate cross country athletes has not been studied. Purpose: The purpose of this study is to; 1.) establish a mean score using the Functional Movement Screen (FMS) in a single NCAA division II cross country program, 2.) determine if there is a significant difference in FMS scores between injured and non-injured runners, and 3.) determine if the FMS score, in addition to other established intrinsic and extrinsic injury risk factors, is predictive of injury. Design: Prospective longitudinal cohort design. Methods: A sample of 48 (17 males, 31 females) NCAA Division II cross country runners participated in this study. Their eligibility year, gender, past history of injury (PHI), average weekly running mileage, and FMS composite scores were collected. Differences between injured and non-injured FMS composite mean and median scores were analyzed using independent t-test and Mann-Whitney U test, respectively. A receiver operator characteristic (ROC) curve was plotted to determine an FMS cutpoint. Logistic regression using FMS composite score, gender, average running mileage, and previous history of injury as predictor variables was completed. Results: 15 of 48 athletes incurred a neuromusculoskeletal injury during the 2014 cross country season. Mean FMS for injured athletes (n=15) was 15.73 compared to 16.45 for non-injured athletes (n=33). This difference was not significant (p=.239). Median FMS scores were 16 for both injured and non-injured athletes (p=.499). The ROC area under curve (AUC) was not significant (AUC=.439; p=.505) and the ROC curve did not identify a viable cut score. The logistic regression final model included eligibility year, PHI, gender, and FMS composite scores. The Omnibus Test determined the model to be insignificant (p=.173); however, Hosmer-Lemeshow analysis determined the model to be of good fit (p=.075). The logistic regression showed that with the above variables included, the model was able to predict 94% of the athletes who did not sustain an injury correctly, and 40% of those who did sustain and injury correctly for an overall prediction rate of 77.1%. Limitations: Sample size, sample being from a single university’s cross country team, inability to control training of athletes, inability to control the number of competitive events run by each athlete, inability to control training outside of team training, the range of mileage the athletes run, mileage being self-reported, and other variables which could affect an athlete’s performance. Conclusions: The results of this study suggest that mean FMS score is not predictive of injury in NCAA Division II cross country athletes. Additionally; gender, year of eligibility, PHI, combined with FMS composite scores are not predictive of injury in this sample. However, this study had numerous limitations that may have impacted the significance of the study. With limited research to the FMS as part of a pre-participation physical as a means to predict injury in cross country athletes. Additionally, future studies should consider sports specific movements and/or tests that capture the physical demands of cross country running.
Book Synopsis Examining the Relationship Between Functional Movement Screen (FMS) and Computerized BESS Scores and Lower Extremity Injury Risk in a Cohort of Female Intercollegiate Athletes by : Onazi O. Agbese
Download or read book Examining the Relationship Between Functional Movement Screen (FMS) and Computerized BESS Scores and Lower Extremity Injury Risk in a Cohort of Female Intercollegiate Athletes written by Onazi O. Agbese and published by . This book was released on 2016 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of female athletes participating in sport has risen substantially over the past 30 years. The rise in participation has translated into a parallel rise in injuries, especially those associated with overuse. Injury prevention and improved performance are paramount in the minds of sports health care professionals and strength and conditioning specialists; so finding ways to identify injury risk has gained increased attention in recent years. The purpose of this study was to examine the relationship between lower extremity injury and performance on both the modified Functional Movement Screen, (FMS) Standard FMS, and computerized Balance Error Scoring System (BESS). Data from a large prospective study was extracted for this project. Specifically, data from a cohort of female student-athletes participating in 5 high risk sports of Basketball, Field Hockey, Lacrosse, Soccer, and Volleyball was derived and analyzed using Receiver Operant Characteristic (ROC). A modified-FMS score was developed from four of the seven FMS tests completed as a part of baseline testing. These 4 tests include the Deep Squat, Hurdle Step, In-Line Lunge, and the Active Straight Leg Raise, with a total possible score of 12. BESS scores were derived from the MobileMatTM BESS from Tekscan (Tekscan, South Boston, MA). The total BESS error score across all 6 testing conditions was used in the correlational analysis. Injuries occurring as a result of participation in their respective sport were monitored using SportsWare On-Line (SWOL) injury tracking software (Computer Sports Medicine, Inc. Stoughton, MA). Lower extremity injury served as the independent variable in this project, while the scores from the FMS methods along with the total BESS error score served as the dependent variables. Overall 20 athletes sustained an injury in our cohort, with the means between the injured and non-injured groups for the three dependent variables being FMS-4 (8.1±1.1 and 8.0±1.2), FMS-7 (15.4±1.3 and 15.0±1.6), and BESS (18.6±4.5 and 17.4±5.3) respectively. There were no significant findings in our ROC analysis. The area under the curve for our three methods was FMS-4 (.510), FMS-7 (.567), and BESS (.577), indicating no useful diagnostic capability for any of the three variables for lower extremity injury. Despite some previous reports indicating injury prediction capabilities for the FMS, our finding do not support the usefulness of such a tool in our cohort of female student-athletes. Although the BESS has demonstrated some utility in the management of sport-related concussions, its ability to predict lower extremity injury is minimal.
Book Synopsis Injury Prediction in Division I College Football Players Using a Modified Lower Extremity Version of the FMS by : William R. Saul
Download or read book Injury Prediction in Division I College Football Players Using a Modified Lower Extremity Version of the FMS written by William R. Saul and published by . This book was released on 2013 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: Background: Lower extremity injuries are prevalent in collegiate football. According to Rechel et al [3], a study that tracked collegiate football injuries from 1988-2004, 55.7% of injuries suffered during spring practice were lower extremity. The same study also found that 17.6% of all injuries suffered during fall games were due to knee injuries, 15.6% were ankle, and 3.6% were upper leg muscle or tendon strain. It appears that in the sport of football, injuries to the lower extremity are the most prevalent in collegiate athlete. It is likely that risk identification and prevention could help to reduce these injury rates. Therefore, the development of clinical prediction tools incorporated in a pre-participation exam that could help in identifying athletes who are at risk for lower extremity injuries is vitally important. One of these examination tools is the FMS. Purpose: The purpose of this study was to determine if the FMS composite score can predict injury of the lower extremity in Division I collegiate football players. A secondary purpose was to determine a cut-off score on a modified/lower extremity only FMS that can predict injury. A tertiary purpose was to examine the ability of the FMS to predict contact vs. non-contact lower extremity injuries in collegiate football athletes. Methods: 70 Division I college football players were screened pre-season using the Functional Movement Screen. Total scores out of 21 were recorded. Injuries and exposures were tracked throughout the season by the certified athletic trainer assigned to the University of Toledo football team. Results: When comparing the FMS between injured and non-injured groups, there were no statistically significant differences on any of the FMS scores (p>.05). The full FMS had a cut-off score of 18.5; MFMS 4 stations showed a cut-off score at 11.5 and the MFMS 3 stations had a cut-off score of 8.5. The MFMS 4 had the highest diagnostic odds ratio of 3.57. Only the MFMS 4 had a sensitivity that exceeded 0.70. Discussion: The cut-off scores found in this study were seen to be much higher than previous FMS studies. The MFMS 4 within this relatively small sample size shows promise of injury prediction capabilities with its moderate sensitivity. Further research should be done to exam this possibility. Conclusion: Both the full and modified versions of the FMS could not statistically differentiate injured football players. However, there may be some diagnostic usefulness within the MFMS 4 and further research should exam this possibility.
Book Synopsis Predicting Injury Occurrence from Functional Movement by : Rachel Kaliff
Download or read book Predicting Injury Occurrence from Functional Movement written by Rachel Kaliff and published by . This book was released on 2019 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: The present study was designed to analyze the use of individual Functional Movement Screen (FMS) scores in predicting injury in Division III collegiate athletes. The individual FMS test scores used were deep squat, shoulder mobility, and active straight leg raise. Participants included male and female Division III collegiate soccer, football, field hockey, volleyball, and basketball players (N = 119) between the ages of 18 – 24. A binary logistic regression was conducted. The independent variables were deep squat, shoulder mobility, and active straight leg raise. The dependent variables were noncontact injury, type of injury, and location of injury. The three FMS test score predictor equations were not statistically significant (all p’s > 0.05) in predicting non-contact injury, chronic injury, acute injury, upper extremity injury, or lower extremity injury. Overall, the individual FMS scores had a correct prediction rate of 52.9% of noncontact injury. All other regression equations did not predict anyone to have sustained acute, chronic, lower extremity, or upper extremity injuries.
Book Synopsis Functional Movement Screen and Its Link to Sports Injury in Butler University Division I Student Athletes by : Sarah Dickinson
Download or read book Functional Movement Screen and Its Link to Sports Injury in Butler University Division I Student Athletes written by Sarah Dickinson and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Functional Movement Screen (FMS) is a physical assessment made up of seven fundamental movements which are designed to evaluate an individual's functional movement patterns. The seven subtests target mobility and stability to identify limitations or asymmetries in normal movement (O'Conner et al., 2011). It is suspected that individuals who continue to use substandard movements during training are more susceptible to musculoskeletal injury (Chorba et al., 2010). In this study, FMS data from Butler University's Division I men's and women's basketball, soccer, and cross-country teams were analyzed to investigate potential correlation with injury prevalence, sports team, and gender. Research from the past 15 years has assessed the use of FMS data as a tool to predict sports related injury along with other variables. Since injury can be both physically and mentally detrimental for student athletes, it would be ideal to avoid it. This would allow athletic trainers to target areas of weakness specific to each sport and incorporate corrective movements into strength training to improve mobility and stability. This study includes secondary data analysis from Butler University's athletic department. Butler University's athletic department and the Institutional Review Board approved the release of de-identified data for 122 student athlete participants including their FMS score, injury prior to FMS testing, injury following FMS testing, sports team, and gender. The data from 65 males and 57 females was then compiled and analyzed using IBM SPSS Statistics Software. In summary, this study found a positive small correlation between Total FMS Scores for Butler University Division I student athletes (men's and women's basketball, soccer, and cross-country teams), and the number of musculoskeletal injuries reported from athletics. The study consisted of 65 male and 57 female student athletes, where on average male student athletes scored higher on FMS testing than female student athletes. Lastly, it was found that there was no difference between the average number of athletic related musculoskeletal injuries between the two genders"--Provided by author.
Book Synopsis Prediction of Athletic Injury with a Functional Movement Screen [superscript]TM by : Tyler R. Hall
Download or read book Prediction of Athletic Injury with a Functional Movement Screen [superscript]TM written by Tyler R. Hall and published by . This book was released on 2014 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Use of the Functional Movement Screen (FMS) to Predict Deficits in Bilateral/unilateral Force, Power, and Rate of Force Development by : Amber S. Gell
Download or read book Use of the Functional Movement Screen (FMS) to Predict Deficits in Bilateral/unilateral Force, Power, and Rate of Force Development written by Amber S. Gell and published by . This book was released on 2010 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Movement Screens are commonly used in the rehabilitation process. However, their growing popularity has resulted in an expanded use in other domains within the fitness industry. The purpose of this study was to investigate the efficacy of a commercially marketed test, Functional Movement Screen (FMS), to predict deficits in Force, Power, and Rate of Force development. Thirty-three young male subjects completed the seven test FMS followed by tests of strength (Isometric Pull) and power (Vertical Jump). Associations were determined between the FMS test scores and a subject's actual ability to generate force and power during bilateral and unilateral Isometric Pulls and Vertical Jump Tests. Although previous evidence suggests the FMS may be a valuable tool for screening patients during rehabilitation, findings from this study indicate only certain components of the FMS are applicable for screening athletes or the general population prior to injury.
Book Synopsis The Effectiveness of a Functional Movement Screen (C) by : Linda Anstee
Download or read book The Effectiveness of a Functional Movement Screen (C) written by Linda Anstee and published by . This book was released on 2002 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Evaluation of the Functional Movement Screen as an Injury Prediction Tool by : Bryan Scott Dorrel
Download or read book Evaluation of the Functional Movement Screen as an Injury Prediction Tool written by Bryan Scott Dorrel and published by . This book was released on 2015 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Assessment of FMS written by Taryn West and published by . This book was released on 2011 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Injury Prediction in Division-I Collegiate Cross-country Runners Using Functional Movement Tests by : Samuel McMullen
Download or read book Injury Prediction in Division-I Collegiate Cross-country Runners Using Functional Movement Tests written by Samuel McMullen and published by . This book was released on 2013 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective: The overall purpose of this study is examine how best to predict RRI in cross country runners. The study more specifically sought to: (1) Examine FMS, m-FMS and SEBT-AR performance during pre-and post-workout states between collegiate cross-country runners that do and do not suffer a chronic injury to the lower extremity, and subsequently establish cut-off scores that can predict an increase in risk of musculoskeletal injury in cross-country athletes. (2) Examine FMS, mFMS, and SEBT-AR performance during pre- and post-workout states between cross-country runners that do and do not have a previous acute or chronic injury history, and subsequently establish a cut-off scores that can identify athletes that may have performance deficits from their previous injuries. (3) Determine if performance of the mFMS and SEBT-AR are different post-workout compared to a pre-workout state in cross-country athletes. (4) Determine if previous injury history has a direct relationship to in-season injury status. Design, Setting, and Data Source: A prospective cohort design was utilized. Separate independent T-tests were used to determine if there was a difference in scores between those that sustained an in-season chronic RRI and iv those who did not for the FMS, mFMS, and SEBT-AR during pre-workout conditions, as well as for the mFMS and SEBT-AR during the post-workout conditions. A Receiver Operator Characteristic Curve (ROC) was used to determine cut-off scores for the full FMS, mFMS, and SEBT-AR pre-workout, and mFMS and SEBT-AR post-workout which maximize sensitivity and specificity. A Chi-Squared analysis was used to determine if there was a relationship between previous injuries and in-season injuries. Significance was set to p
Book Synopsis Examining the Functional Movement Screen and Y Balance Test Scores in a Cohort of Intercollegiate Athletes Before and After a Trainign Intervention by : Jenna E. Liljeberg
Download or read book Examining the Functional Movement Screen and Y Balance Test Scores in a Cohort of Intercollegiate Athletes Before and After a Trainign Intervention written by Jenna E. Liljeberg and published by . This book was released on 2018 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of lower extremity (LE) injuries in Division-I collegiate student-athletes has consistently increased over the past 10 years. Given these steady trends, a reliable screening tool is essential to predict an athlete's risk of injury in order to enhance the safety and performance of this population. Even though research surrounding the FMS and YBT have been mixed, very few studies have looked at the effect of these test scores over time and its effect on strength. The primary purpose of this study was to compare both YBT and FMS scores in NCAA Division-I student-athletes before and after a supervised strength and conditioning-based intervention. This prospective cohort study had 122 participants (42 males, 80 females) (age=19.6 ± 1.1, height 174.3 ± 8.2, mass 70.4 ± 9.4). Each participant completed the FMS, YBT, squat max, and bench press max testing at three separate time periods over a 17-month span. Of the total number of participants, those that obtained a LE injury were classified as LE injured (n=50) and those that were not, were classified as healthy (n=72). A one-way analysis of variance was used to compare scores between the two screening tools; a Tukey post-hoc was used to determine where significant differences took place across time. A two-group growth curve was used for the study's second aim and third aim to determine if there was a difference between YBT and FMS scores of athletes who have or have not sustained LE injuries, as well as to compare maximum squat and bench press test results in student-athletes before, during, and after a strength and conditioning-based intervention. The following variables showed a significant difference over time: anterior difference (ANT Diff) (p
Book Synopsis FMSTM Scores as a Predictor of Acute Lower Extremity in Division 1 Intercollegiate Basketball Players by : Mary J. Cuson (ATC.)
Download or read book FMSTM Scores as a Predictor of Acute Lower Extremity in Division 1 Intercollegiate Basketball Players written by Mary J. Cuson (ATC.) and published by . This book was released on 2010 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pre-participation screening is a critical part of preventing injury in an athletic population. It helps clinicians determine if athletes are physically fit for participation or if they are at serious risk for health complications as a result of participation. The Functional Movement Screen (FMSTM) is a tool that has been suggested could help clinicians evaluate the normal movement patterns that athletes use during athletic performance and daily living. Determine if the FMS is a reliable measure of injury differences suffered during a competitive season in intercollegiate basketball athletes. This will be important for clinicians in applying and utilizing the information from that FMS if it is verified that the test can be used to predict injury, and become a test that clinicians can use to quickly and cost effectively screen their athletes for injury risk.
Book Synopsis Functional Movement Screening as a Predictor of Injury in Division One Collegiate Football Athletes by : Adam J. Ford
Download or read book Functional Movement Screening as a Predictor of Injury in Division One Collegiate Football Athletes written by Adam J. Ford and published by . This book was released on 2011 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective: To determine if there was a significant difference in FMSTM scores between athletes that were injured and athletes that were not injured during a division one collegiate football season, to discover a cut-off score that maximizes specificity and sensitivity of the FMSTM and to examine FMSTM scores between positions groups, body part injured, and mechanism of injury. Design, Setting, and Data Source: Testing and data collection was performed at the University of Toledo. The testing included the men's football team with the ages ranging from 18-22. Prior to testing, subject's completed a questionnaire providing demographics of age, height and weight and history of injury. The data collected was separated into groups, injured and non-injured and into position, skill and non-skill. To determine if there is a significant difference in FMSTM scores between groups, a dependant t-test was performed on each group with significance set at P
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