Functional Movement Screening and injury risk in elite adolescent rugby league players

2019 ◽  
Vol 14 (4) ◽  
pp. 498-506
Author(s):  
Cameron S Dyer ◽  
Robin Callister ◽  
Colin E Sanctuary ◽  
Suzanne J Snodgrass
Keyword(s):  
Injury Risk ◽  
Rugby League ◽  
Injury Incidence ◽  
Functional Movement Screen ◽  
Functional Movement ◽  
Incidence Data ◽  
Movement Screening ◽  
The Mean ◽  
Functional Movement Screening ◽  
And Training

Research is limited as to whether Functional Movement Screen scores relate to non-contact injury risk in rugby league players. This cohort study investigates whether the Functional Movement Screen score predicts non-contact injuries in elite adolescent rugby league players. Australian adolescent rugby league players ( n = 52; mean age 16.0 ± 1.0 years) from one club participated in this study. Functional Movement Screen scores, height, and mass were collected at the beginning of the preseason. Training, match exposure, and injury incidence data (non-contact match and training injuries with three levels of severity) were recorded for each individual athlete throughout the season. Linear and logistic regression analyses were conducted to investigate the association between Functional Movement Screen score (continuous score, ≤ 14 or > 14, and three subscores) and injury risk, whilst controlling for exposure time. The mean Functional Movement Screen score for the sample was 13.4 (95% CI: 11.0–14.0). A total of 72 non-contact injuries were recorded (incidence rate: 18.7 per 1000 exposure hours; 95% CI: 11.6–24.8). There were no statistically significant associations between non-contact injury and Functional Movement Screen score for any of the analyses conducted. Our results suggest that the Functional Movement Screen does not reflect non-contact injury risk in elite adolescent rugby league players. Further research should investigate whether a more sport-specific movement screen in the preseason can more effectively predict injury risk in this population.

scholarly journals Effect of Fatigue on Functional Movement Screening Performance in Dancers

2018 ◽  
Vol 33 (3) ◽  
pp. 213-219 ◽  
Author(s):  
Ross Armstrong ◽  
Christopher M Brogden ◽  
Debbie Milner ◽  
Debbie Norris ◽  
Matt Greig
Keyword(s):  
Injury Risk ◽  
Perceived Exertion ◽  
Neuromuscular Control ◽  
Functional Movement ◽  
Screening Performance ◽  
Movement Screening ◽  
And Performance ◽  
High Level ◽  
Deep Squat ◽  
Functional Movement Screening

OBJECTIVE: Dance is associated with a high risk of injury, with fatigue identified as a contributing factor. Functional movement screening (FMS) has been used to identify alterations in normal movement which may contribute to injury risk, though this test is not normally performed in a fatigued state. The aim of this study was to determine whether fatigue induced by the dance aerobic fitness test (DAFT) results in changes in FMS scores with implications for performance and injury risk. METHODS: Forty-one university dancers completed the FMS before and immediately after completion of the DAFT. Rate of perceived exertion and heart rate were quantified as measures of fatigue. RESULTS: Post-DAFT, the mean FMS composite score (15.39±1.86) was significantly less (p≤0.01) than the pre-exercise score (16.83±1.83). Element-specific analysis revealed that the deep squat, non-dominant lunge, and dominant inline lunge scores were all significantly impaired post-DAFT (all p≤0.01). CONCLUSION: The identification of changes in quality of movement in a fatigued state suggests that movement screening should also be performed post-exercise to enhance screening for injury risk. The influence of dance-specific fatigue was FMS element-specific. Specifically, the deep squat and inline lunge were most susceptible to fatigue, with implications for injury risk and performance and reflective of the high level of neuromuscular control required.

Functional Movement Scores and Longitudinal Performance Outcomes in Elite Track and Field Athletes

2014 ◽  
Vol 9 (2) ◽  
pp. 203-211 ◽  
Author(s):  
Robert F. Chapman ◽  
Abigail S. Laymon ◽  
Todd Arnold
Keyword(s):  
Injury Risk ◽  
Performance Outcomes ◽  
Track And Field ◽  
Injury Incidence ◽  
Functional Movement Screen ◽  
Competitive Performance ◽  
Bilateral Asymmetry ◽  
Functional Movement ◽  
Movement Ability ◽  
Deep Squat

Subjects with scores on the Functional Movement Screen (FMS) assessment of ≤14 or with at least 1 bilateral asymmetry have been shown to have greater future injury incidence than subjects with FMS scores >14 or no movement asymmetries.Purpose:To determine if FMS injury risk factors extend to longitudinal competitive performance outcomes in elite track and field athletes.Methods:Elite track and field athletes were examined (N = 121), each completing an FMS before the 2011 competitive season. Best competition marks for the year were obtained from athletes’ actual performances for 2010 and 2011. Performance change between 2010 and 2011 was examined in cohorts of FMS scores ≤14 (LoFMS) vs >14 (HiFMS), athletes with bilateral asymmetry in at least 1 of the 5 FMS movements vs athletes with no asymmetry, and athletes who scored 1 on the deep-squat movement vs athletes who scored 2 or 3.Results:HiFMS had a significantly different change in performance from 2010 to 2011 (0.41% ± 2.50%, n = 80) compared with LoFMS (−0.51% ± 2.30%, P = .03, n = 41). Athletes with no asymmetries had a longitudinal improvement in performance (+0.60% ± 2.86%, n = 50) compared with athletes with at least 1 asymmetry (−0.26% ± 2.10%, P = .03, n = 71). Athletes who scored 1 on the deep-squat movement had a significantly different change in performance (−1.07 ± 2.08%, n = 22) vs athletes who scored 2 (0.13% ± 2.28%, P = .03, n = 87) or 3 (1.98% ± 3.31%, P = .001, n = 12).Conclusion:Functional movement ability, known to be associated with the likelihood of future injury, is also related to the ability to improve longitudinal competitive performance outcomes.

scholarly journals Asymmetry during Functional Movement Screening and injury risk in junior football players: A replication study

2018 ◽  
Vol 28 (3) ◽  
pp. 1281-1287 ◽  
Author(s):  
S. Chalmers ◽  
T. A. Debenedictis ◽  
A. Zacharia ◽  
S. Townsley ◽  
C. Gleeson ◽  
...  
Keyword(s):  
Injury Risk ◽  
Replication Study ◽  
Football Players ◽  
Functional Movement ◽  
Movement Screening ◽  
Functional Movement Screening

scholarly journals Big Data and Deep Learning Model for FMS Score Prediction of Aerobics Athletes

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wenying Xiong ◽  
Dongqin Huang ◽  
Wei Xu
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Injury Risk ◽  
Risk Model ◽  
Sports Injuries ◽  
Sports Injury ◽  
Positive Role ◽  
Functional Movement ◽  
Movement Screening ◽  
Functional Movement Screening

In recent years, competitive aerobics has developed rapidly in my country, and the corresponding sports injury risks have gradually increased. A number of studies have shown that due to the characteristics of aerobics itself, difficult movement requirements, fast-paced music accompaniment and coherent coordinated movements, athletes will suffer sports injuries if they are not paying attention. Therefore, discovering the causes of athletes’ injuries in time and preventing them in time is crucial for improving athletes’ skill level and prolonging sports life. Through the functional movement screening (FMS) test, understanding young aerobics athletes’ insufficiency in trunk stability, joint flexibility, muscle extension, and core strength can further help athletes reduce the risk of sports injuries. Therefore, this article proposes a novel sports injury risk model based on big data technology and deep learning, which can effectively predict the risk of sports injury and can play a positive role in improving the quality of athletes’ movements and prolonging their sports life.

The Functional Movement Screen in the Prediction of Injury in Adolescent Cricket Pace Bowlers: An Observational Study

2017 ◽  
Vol 26 (5) ◽  
pp. 386-395 ◽  
Author(s):  
Candice Martin ◽  
Benita Olivier ◽  
Natalie Benjamin
Keyword(s):  
Outcome Measures ◽  
Injury Risk ◽  
Screening Tool ◽  
Injury Incidence ◽  
Functional Movement Screen ◽  
Functional Movement ◽  
Exact Test ◽  
Poor Predictor ◽  
Significant Difference ◽  
Valid Predictor

Context:The Functional Movement Screen (FMS) has been found to be a valid preparticipation screening tool in the prediction of injury among various athletes in different sports. The validity thereof in the prediction of injury among adolescent cricketers is yet to be established.Objective:To determine if a preseason FMS total score is a valid predictor of in-season injury among adolescent pace bowlers.Design:Prospective observational quantitative study.Setting:Bowlers performed the FMS before the start of the season. Injury incidence was monitored monthly throughout the season. The student t test and Fisher’s exact test were used to compare the FMS scores of the injured and noninjured bowlers as well as the injured and noninjured bowlers who scored ≤ 14.Participants:27 injury-free, male, adolescent pace bowlers.Main Outcome Measures:The FMS (scoring criteria and score sheet) and standardized self-administered injury questionnaire.Results:There was no difference between the noninjured group (16.55 ± 2.57) and the injured (16.1 ± 2.07) group in terms of FMS scores. There was no significant difference between injured and noninjured bowlers who scored ≤ 14. A total FMS score of 14 does not provide the sensitivity needed to assess injury risk among adolescent pace bowlers and no other accurate cut-off score could be calculated.Conclusion:Preseason observed total FMS score is a poor predictor of in-season injury among adolescent pace bowlers. Further research should be conducted to determine if a specific FMS test will be a more valid predictor of injury.

scholarly journals Sport-Specific Functional Tests and Related Sport Injury Risk and Occurrences in Junior Basketball and Soccer Athletes

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Wen-Dien Chang ◽  
Chi-Cheng Lu
Keyword(s):  
Injury Risk ◽  
Sport Injury ◽  
Vertical Jump ◽  
T Test ◽  
Injury Incidence ◽  
Functional Movement Screen ◽  
Functional Tests ◽  
Functional Movement ◽  
Injury Occurrence ◽  
One Year

Objectives. Sport-specific functional tests were used to assess the power, speed, and agility of the lower extremity for a specific sport, but comparison of the differences and association with sport injury was rare. The aim of this study was to investigate the differences in sport-specific functional tests between junior basketball and soccer athletes and analyze the sport injury risk and occurrences. Methods. All participants were evaluated using the sprint test, vertical jump (VJ) test, agility T test, and functional movement screen (FMS). There were significant intergroup differences in the sprint test, VJ test, agility T test, and FMS. Specific functional tests were compared against FMS score, either FMS ≤ 14 or FMS > 14 . The FMS subtests, namely, in-line lunge, trunk stability push-up (TSPU), and quadruped rotary stability, were also performed. In one-year follow-up, the sport injury incidence was also recorded. Results. Significant differences in sprint, agility, and FMS performance were found between the junior basketball and soccer athletes. Individual FMS scores of the in-line lunge, TSPU, and quadruped rotary stability were evaluated. No significant differences in sprint, VJ, and agility scores were found between FMS ≤ 14 and FMS > 14 . FMS total score ≤ 14 was significantly associated with high sport injury occurrence. Conclusions. The scores of sprint, agility, and FMS performance were differed between basketball and soccer athletes. The scores of sprint, VJ, and agility tests did not have differences with sport injury risks and occurrences, but the FMS score was associated with sport injury occurrence.

scholarly journals Dynamic Movement Assessment and Functional Movement Screening for injury prediction: a systematic review

2018 ◽  
Vol 25 (3) ◽  
pp. 352-361
Author(s):  
Priscila dos Santos Bunn ◽  
Elirez Bezerra da Silva
Keyword(s):  
Systematic Review ◽  
Injury Risk ◽  
Physical Activities ◽  
Musculoskeletal Injuries ◽  
Functional Movement ◽  
Injury Prediction ◽  
Dynamic Movement ◽  
Movement Screening ◽  
Movement Assessment ◽  
Functional Movement Screening

ABSTRACT Dynamic Movement AssessmentTM (DMATM) and Functional Movement ScreeningTM (FMSTM) are tools to predict the risk of musculoskeletal injuries in individuals who practice physical activities. This systematic review aimed to evaluate the association of DMATM and FMSTM with the risk of musculoskeletal injuries, in different physical activities, categorizing by analysis. A research without language or time filters was carried out in November 2016 in MEDLINE, Google Scholar, SciELO, SCOPUS, SPORTDiscus, CINAHL and BVS databases using the keywords: “injury prediction”, “injury risk”, “sensitivity”, “specificity”, “functional movement screening”, and “dynamic movement assessment”. Prospective studies that analyzed the association between DMATM and FMSTM with the risk of musculoskeletal injuries in physical activities were included. The data extracted from the studies were: participant’s profile, sample size, injury’s classification criteria, follow-up time, and the results presented, subdivided by the type of statistical analysis. The risk of bias was performed with Newcastle-Ottawa Scale for cohort studies. No study with DMATM was found. A total of 20 FMSTM studies analyzing one or more of the following indicators were included: diagnostic accuracy (PPV, NPV and AUC), odds ratios (OR) or relative risk (RR). FMSTM showed a sensitivity=12 to 99%; specificity=38 to 97%; PPV=25 to 91%; NPV=28 to 85%; AUC=0.42 to 0.68; OR=0.53 to 54.5; and RR=0.16-5.44. The FMSTM has proven to be a predictor of musculoskeletal injuries. However, due to methodological limitations, its indiscriminate usage should be avoided.

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