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Functional Movement Screen Used As A Pre Season Screening For Predicting Collegiate Intramural Athletes Risk Of Injury
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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:
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 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 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.
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 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
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 Relationship of Pre-season Functional Movement Screening on Injury in Division 1 Collegiate Athletes by : Zebulon Raymond Miller
Download or read book Relationship of Pre-season Functional Movement Screening on Injury in Division 1 Collegiate Athletes written by Zebulon Raymond Miller and published by . This book was released on 2016 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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:
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 Use of a Functional Movement Screening Tool to Determine Injury Risk in Collegiate Acrobatics and Tumbling Athletes by : Sara E. Spencer
Download or read book Use of a Functional Movement Screening Tool to Determine Injury Risk in Collegiate Acrobatics and Tumbling Athletes written by Sara E. Spencer and published by . This book was released on 2016 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Comprehensive Performance-Based Movement System Screening Tool for Athletes by : Courtney Butowicz
Download or read book Comprehensive Performance-Based Movement System Screening Tool for Athletes written by Courtney Butowicz and published by . This book was released on 2016 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Musculoskeletal injuries can have damaging effects on sports and/or job performance, psychosocial factors, and an increased risk of musculoskeletal impairments later in life. Non-contact injuries, such as an ACL rupture or non-traumatic shoulder injury, account for nearly 40% of all injuries sustained during practices and 20% of injuries incurred during sanctioned games. Pre-participation movement screening has gained popularity in collegiate athletics and military personnel in efforts to identify poor performance and individuals potentially at increased risk of injury. Proposed risk factors for injury include impairments in regional stability (i.e. core stability), movement pattern efficiency, mobility, and symmetry. Impairments in any of these risk factors may influence force generation, transfer, and dissipation throughout the body, potentially increasing stress on segments and joints. Current movement screens provide limited assessment of core stability and upper extremity stability, movement pattern efficiency, and mobility. The purposes of this study were to: 1) describe a novel comprehensive performance-based movement system-screening tool (MSST), 2) determine the validity of common and novel clinical tests of core stability, 3) determine the psychometric properties of the MSST, 4) and determine the ability of the MSST to identify athletes with a current history of non-traumatic shoulder injury. Eighty athletes (40 with a current shoulder injury) completed the MSST and lab-based measures of isolated core stability. Findings demonstrated that none of the clinical tests of core stability within the MSST were moderately significantly correlated to our lab-based measures. Results of the exploratory factor analysis (EFA) revealed three of the four design constructs (proposed risk factors) over 7 factors, representing 63% of the variance accounted for within the MSST: movement pattern efficiency (lower extremity, dynamic lower extremity), regional stability (upper and lower extremity, trunk/pelvis, dynamic), and mobility (upper and lower extremity, trunk/pelvis). Individual test inter-rater reliability ranged from fair to perfect ([kappa] = 0.26 - 1.00). Inter-rater reliability of the MSST composite score was excellent, ICC (2,1) = 0.94, 95% CI (0.91, 0.96). Athletes with non-traumatic shoulder injury (composite score = 56.5 ± 5.9) scored significantly lower than healthy controls (composite score = 59.5 ± 4.8) on the MSST (t = 2.43, p = 0.02, d = 0.54). Logistic regression revealed rotary stability, shoulder mobility dominant arm, and glenohumeral internal rotation deficit predicted whether or not an athlete had shoulder pain, [chi]2 = 14.37, df = 5, N = 81, p = 0.01. None of the clinical tests of core stability demonstrated acceptable construct validity (r > 0.3) for assessing core neuromuscular control in an athletic population. Assessments assumed to assess muscle capacity were not significantly correlated to our lab-based measures of isolated core neuromuscular control, suggesting they are assessing a different construct (muscle capacity). The results of the current study suggest the MSST may have adequate inter-rater reliability and construct validity for use in clinical settings. However, future work should be done to assess the test-retest reliability and predictive validity of the MSST. The MSST was able to discriminate performance differences in athletes with and without non-traumatic shoulder injury. To date, this is the first comprehensive movement screen used to address non-traumatic upper extremity injury in athletes.
Book Synopsis Use of Functional Movement Screen, Vertical Jump, and Standing Long Jump to Predict Performance by : Eric McCracken
Download or read book Use of Functional Movement Screen, Vertical Jump, and Standing Long Jump to Predict Performance written by Eric McCracken and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this study was to examine the relationship between three performance tests: the Functional Movement Screen, Vertical Jump, and Standing Long Jump, and pre-season rank, post season rank, and rank change over the course of the season. Data of thirteen athletes on a Division III track and field team in the Northeast were collected to examine the relationships. All results were non-significant. The FMS, VJ, and SLJ all had moderately negative Relationships to pre-season performance. The FMS had a moderately negative relationship to post season rank, while the VJ and SLJ had weak negative relationships to post season rank. All three tests had weak negative relationships to rank change. All thirteen athletes posted a personal record (PR) during the season. The results suggest that the FMS, VJ, and SLJ tests do not correlate to season performance in track and field athletes. This study was important because it opens the door for further research on which performance tests are predictive of season performance in athletes.
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 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:
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