Predicting Injury Occurrence From Functional Movement

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Predicting Injury Occurrence from Functional Movement

Author : Rachel Kaliff
Publisher :
ISBN 13 :
Total Pages : 83 pages
Book Rating : 4.:/5 (113 download)

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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.

Ability of the Functional Movement Screen[TM] to Predict Injuries and Performance in Collegiate Track and Field Athletes

Author : Kendra L. Anderson
Publisher :
ISBN 13 :
Total Pages : 75 pages
Book Rating : 4.:/5 (936 download)

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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.

The Ability of the Functional Movement Screen in Predicting Injury Rates in Division 1 Female Athletes

Author : Matthew T. Brown
Publisher :
ISBN 13 :
Total Pages : 42 pages
Book Rating : 4.:/5 (741 download)

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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

Functional Movement Screening

Author :
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (15 download)

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Book Synopsis Functional Movement Screening by :

Download or read book Functional Movement Screening written by and published by . This book was released on 2014 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Ability of the FMS to Predict Knee Injury in Female Collegiate Athletes

Author : Mara Lee Mohler
Publisher :
ISBN 13 :
Total Pages : 86 pages
Book Rating : 4.:/5 (891 download)

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Book Synopsis The Ability of the FMS to Predict Knee Injury in Female Collegiate Athletes by : Mara Lee Mohler

Download or read book The Ability of the FMS to Predict Knee Injury in Female Collegiate Athletes written by Mara Lee Mohler and published by . This book was released on 2014 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Non-contact knee injuries are one of the most common injuries among athletes that participate in sports that require cutting, quick deceleration and jumping actions. Researchers and clinicians have attempted to develop screening tools to identify those at increased risk for knee injury. The primary purpose of this study was to determine the extent to which the Functional Movement Screen (FMS) can predict non-contact knee and lower extremity injuries. The secondary purpose was to identify if certain lower extremity components of the FMS were more predictive of increased risk for these lower extremity injuries than the total score (which includes upper body movement dysfunctions). Female athletes from UNCG's division I basketball, cheer, soccer, softball, tennis, and volleyball teams comprised the sample. The subjects were scored live and video recorded as they completed the entire FMS, and non-contact knee and lower extremity injury data were collected throughout their seasons. Intra-rater reliability of FMS screening was determined using percent agreement. Receiver operating characteristic (ROC) curves were used to determine if there was a particular score that was best able to distinguish between those who were injured and those who were not. Chi-square analyses determined if lower scores on specific lower extremity components of the FMS or the total FMS score were more likely to be found in injured subjects. Four subjects sustained non-contact knee injuries and twenty-four subjects sustained other non-contact lower extremity injuries. The mean FMS score for all subjects (n=72) was 16.33± 1.59. Percent agreement from live to video scoring for the final score was 60%. Percent agreement between day one and day two video scoring was 100%. The primary findings were that neither the final score of the FMS nor the individual subcomponents scores of the FMS were able to distinguish between uninjured and those who sustained non-contact knee or lower extremity injury in the female population studied. However, there was a trend toward more asymmetries in uninjured compared to injured athletes. Due to the small sample size and a low incidence of knee injury, all non-contact lower extremity injuries were included. Combining all types and severities of injuries together may have confounded the ability of specific components of the FMS to predict injury, as it is expected that different injuries may have different biomechanical faults as risk factors. Future studies should use a longitudinal design where a larger population can be followed over multiple sports seasons so that injury can be stratified by severity and type. Future studies may also benefit by tracking male and female athletes to better understand the gender comparisons in movement patterns and injury rates. Asymmetry should be examined to determine if it represents an injury risk factor versus a normal functional adaptation in certain sports."--Abstract from author supplied metadata.

The Capability of the Functional Movement Screen to Predict Injury in Division I Male and Female Track and Field Athletes

Author : Brent Appel
Publisher :
ISBN 13 :
Total Pages : 49 pages
Book Rating : 4.:/5 (811 download)

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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:

Functional Movement Screening as a Predictor of Injury in Division One Collegiate Football Athletes

Author : Adam J. Ford
Publisher :
ISBN 13 :
Total Pages : 41 pages
Book Rating : 4.:/5 (743 download)

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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

Examining the Relationship Between Functional Movement Screen (FMS) and Computerized BESS Scores and Lower Extremity Injury Risk in a Cohort of Female Intercollegiate Athletes

Download Examining the Relationship Between Functional Movement Screen (FMS) and Computerized BESS Scores and Lower Extremity Injury Risk in a Cohort of Female Intercollegiate Athletes PDF Online Free

Author : Onazi O. Agbese
Publisher :
ISBN 13 : 9781369353303
Total Pages : 61 pages
Book Rating : 4.3/5 (533 download)

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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.

Functional Movement Screen Used as a Pre-season Screening for Predicting Collegiate Intramural Athletes' Risk of Injury

Author : Andrew Joseph Huggins
Publisher :
ISBN 13 :
Total Pages : 70 pages
Book Rating : 4.:/5 (883 download)

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Book Synopsis Functional Movement Screen Used as a Pre-season Screening for Predicting Collegiate Intramural Athletes' Risk of Injury by : Andrew Joseph Huggins

Download or read book Functional Movement Screen Used as a Pre-season Screening for Predicting Collegiate Intramural Athletes' Risk of Injury written by Andrew Joseph Huggins and published by . This book was released on 2014 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evaluation of the Functional Movement Screen as an Injury Prediction Tool

Author : Bryan Scott Dorrel
Publisher :
ISBN 13 :
Total Pages : 130 pages
Book Rating : 4.:/5 (974 download)

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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:

Predicting Injuries in NCAA Runners Using the Functional Movement Screen (FMS[trademark Symbol])

Author : Ricardo Padilla
Publisher :
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.:/5 (876 download)

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Book Synopsis Predicting Injuries in NCAA Runners Using the Functional Movement Screen (FMS[trademark Symbol]) by : Ricardo Padilla

Download or read book Predicting Injuries in NCAA Runners Using the Functional Movement Screen (FMS[trademark Symbol]) written by Ricardo Padilla and published by . This book was released on 2013 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predictive validity of the MOVE2PERFORM protocol to identify injury risk in collegiate athletes

Author : Ashley L. Avery
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Predictive validity of the MOVE2PERFORM protocol to identify injury risk in collegiate athletes by : Ashley L. Avery

Download or read book Predictive validity of the MOVE2PERFORM protocol to identify injury risk in collegiate athletes written by Ashley L. Avery and published by . This book was released on 2017 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTRODUCTION/CLINICAL RELEVANCE: Athletes who participate in intercollegiate sports are subject to rigorous physical demands that predispose them to injury. The Move2Perform (M2P) protocol is a commercially available software program that was developed to predict injury based on athlete characteristics and performance in a battery of movement screens. Although one study has explored the predictive validity of the M2P protocol, relatively little research has been completed on this widely used product. The purpose of the current study was to determine if the commercially available Move2Perform software accurately categorizes athletes according to injury risk. METHODS: The study utilized a prospective cohort design. Subjects: Twenty-one soccer and 13 cross country athletes competing at a NCAA Division II institution in West Michigan. Methods/Procedures: Soccer and cross country athletes performed the Functional Movement Screen (FMS), Y-Balance Test for the Lower Quarter (YBT-LQ), and hop tests prior to the start of their respective sports seasons. Athlete characteristics and movement screen scores were then entered into the M2P software to categorize athletes into four injury risk classifications (optimal, Slight, Moderate, and Substantial). Athletic trainers tracked Sports-related injuries throughout the 2015-2016 soccer and cross country seasons and reported injury data to researchers. Statistical analysis: Fischer’s Exact Test was used for the primary comparison of injury risk classification and injury status to determine the predictive validity of the M2P protocol. Mantel-Haenszel Common Odds Ratios, sensitivity, specificity, and likelihood ratios were calculated. The alpha level used to determine significance was a=0.05. RESULTS: Injury risk classification was not significantly associated with injury status for the primary analysis (p=0.564), primary analysis by sport (soccer, p=0.531; cross country, p=1.000), or secondary analysis (p=0.704). Mantel-Haenszel Common odds rations did not achieve significance and varied from 0.250 to 1.667 between the analyses. The sensitivity of the M2P protocol ranged from 8.3% to 100%. Specificity range from 7.69% to 80%. The positive likelihood ratio ranged from 0.81 to 1.20. The negative likelihood ratio ranged from 0.00 to 3.25. DISCUSSION: The Move2Perform protocol was not accurate in identifying injury risk in this sample. The trend was toward false positive findings, prospectively categorizing Moderate or Substantial injury to individuals who did not sustain a neuro-musculoskeletal injury over the course of the season. There are many factors that contribute to injury risk, including chance. Sports medicine professional must acknowledge that extrinsic risk factors for injury and chance cannot be accounted for in a screen. Until more research is conducted to establish the predictive validity of the M2P protocol, sports medicine professionals should exercise caution when using injury risk classifications as the basis for medical decisions. CONCLUSIONS: The Move2Perform protocol is not a valid screening tool for predicting injury in NCAA Division II collegiate soccer and cross country athletes.

Preseason Functional Movement Screen [trademark] Predicts Risk of Time-loss Injury in Experienced Male Rugby Union Athletes

Author : Sean Duke
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (9 download)

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Book Synopsis Preseason Functional Movement Screen [trademark] Predicts Risk of Time-loss Injury in Experienced Male Rugby Union Athletes by : Sean Duke

Download or read book Preseason Functional Movement Screen [trademark] Predicts Risk of Time-loss Injury in Experienced Male Rugby Union Athletes written by Sean Duke and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: OBJECTIVES: To determine the relationship between composite FMS score and the risk of time-loss injury in experienced male rugby union athletes, and in addition, to determine the relationship between FMS-determined bilateral movement asymmetries and the risk of time-loss injury in these athletes. DESIGN: Analytical cohort study. SETTING: Rugby union on-field training and competition, and athletic therapy rooms at the University of Victoria or at Rugby Canada's Center of Excellence, Victoria BC. PARTICIPANTS: 76 experienced, male rugby union athletes (mean age 21.6±2.7 years). MEASUREMENTS: Participants completed surveys pertaining to demographic, anthropometric, injury history, and involvement in rugby union information. The main outcome measures were time-loss injury incidence and FMS scores. RESULTS: Odds ratio analyses revealed that when compared to those scoring at least 14.5, players with FMS scores below 14.5 were 10.42 times (95%CI: 1.28-84.75, Fisher's exact test, one-tailed, p=0.007) more likely to have sustained time-loss injury (+LR=7.08, -LR=0.72, specificity=0.95, sensitivity=0.35) in Season One and 4.97 times (95%CI: 1.02-24.19, Fisher's exact test, one-tailed, p=0.029) more likely in Season Two (+LR=3.56, -LR=0.71 specificity=0.90, sensitivity=0.36). Participants scoring below 15.5 on the FMS were also at significantly greater risk of injury, exhibiting a risk of injury 3.37 times (95%CI: 1.12-10.14, Fisher's exact test, one-tailed, p=0.027) greater than players with higher FMS scores in Season Two (+LR=1.84, -LR=0.55, specificity=0.65, sensitivity=0.64), but not in Season One.

Functional Movement Screening as a Predictor of Injury in High School Basketball Athletes

Author : Michael P. Wieczorkowski
Publisher :
ISBN 13 :
Total Pages : 53 pages
Book Rating : 4.:/5 (667 download)

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Book Synopsis Functional Movement Screening as a Predictor of Injury in High School Basketball Athletes by : Michael P. Wieczorkowski

Download or read book Functional Movement Screening as a Predictor of Injury in High School Basketball Athletes written by Michael P. Wieczorkowski and published by . This book was released on 2010 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective: To determine if there is a significant difference in FMSTM scores between athletes that were injured and athletes that were not injured during the high school basketball season. A cut-off score that maximizes specificity and sensitivity of the FMSTM will also be determined. Design, Setting, and Data Source: Testing and data collection was performed at local Toledo area high schools. The testing included the girls' and boys' junior varsity and varsity teams with the ages of the athletes ranging from 14-18 years old. Before testing, each subject completed a questionnaire providing demographics such as age, gender, 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 is a significant difference in FMSTM scores between athletes that were injured and athletes that were not injured during the high school basketball season, a dependent t-test was performed on each group with significance set at the P

Injury Prediction in Division I College Football Players Using a Modified Lower Extremity Version of the FMS

Author : William R. Saul
Publisher :
ISBN 13 :
Total Pages : 31 pages
Book Rating : 4.:/5 (861 download)

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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.

Prediction of Athletic Injury with a Functional Movement Screen [superscript]TM

Author : Tyler R. Hall
Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (881 download)

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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.

Injury Incidence and the Use of the Movement Competency Screen (MCS) to Predict Injury Risk in Full-time Dance Students at the New Zealand School of Dance (NZSD)

Download Injury Incidence and the Use of the Movement Competency Screen (MCS) to Predict Injury Risk in Full-time Dance Students at the New Zealand School of Dance (NZSD) PDF Online Free

Author : Linda Ruth Lee
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (958 download)

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Book Synopsis Injury Incidence and the Use of the Movement Competency Screen (MCS) to Predict Injury Risk in Full-time Dance Students at the New Zealand School of Dance (NZSD) by : Linda Ruth Lee

Download or read book Injury Incidence and the Use of the Movement Competency Screen (MCS) to Predict Injury Risk in Full-time Dance Students at the New Zealand School of Dance (NZSD) written by Linda Ruth Lee and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Author supplied keywords: Dance; Pre-professional; Injury; Risk factors; Screening; Functional movement screen.