scholarly journals Relationship between functional movement screen scores and global positioning parameters associated with musculoskeletal injuries in soccer player

Author(s):  
Serdar ARSLAN ◽  
Engin DİNÇ
2020 ◽  
Vol 59 (6) ◽  
pp. 596-605
Author(s):  
Dai Sugimoto ◽  
Adam J. Loiacono ◽  
Alexandra Blenis ◽  
Jennifer M. Morse ◽  
Dennis R. Borg ◽  
...  

Purpose. To find risk factors for soccer-related musculoskeletal injuries among elite, adolescent male soccer players. Methods. Prior to the season, various physical, clinical, and functional measurements were taken. One season was used as an injury surveillance period. Then, after the season, measures of potential risk factors were compared between (1) those players who sustained musculoskeletal injuries and (2) those who remained injury free. Results. Among 61 players, 37.7% (23/61) sustained soccer-related musculoskeletal injuries. After adjusting for covariates in a logistic regression model, presence of previous hip and low back injury (adjusted odds ratio [aOR] = 8.93, P = .046) and Functional Movement Screen (FMS) scores (aOR = 1.92, P = .022) were independently associated with musculoskeletal injures. Conclusion. Elite, adolescent male soccer players with a history of hip and back injury are at greater risk of sustaining a soccer-related musculoskeletal injury. In addition, our study indicated greater risk of sustaining a future soccer-related injury as FMS scores increase.


2016 ◽  
Vol 1 (100) ◽  
pp. 47-54
Author(s):  
Saulė Salatkaitė ◽  
Toma Garbenytė Apolinskienė ◽  
Laimonas Šiupšinskas ◽  
Alma Kajėnienė ◽  
Rimtautas Gudas

Background. Basketball is a popular sport around the world, the number of players is growing, the probability to experience trauma is increasing, too. Studies have shown that women sustain 60% more injuries than men do. Pre- season physical examination helps to establish sports specific changes in the body of the athlete and to determine risk factors for training, competition, which cause injury to the players. Research aim was to analyse risk of non-contact musculoskeletal injuries in elite women basketball players according to the position on the court. Methods. The study involved 100 players in Lithuanian women basketball league who completed the questionnaire about the level of physical fatigue, performed Lower Quarter Y Balance Test™ and Functional Movement Screen ™ tests during pre-season physical examination in 2014. Data were analysed and compared according to player’s position on the court (guards and forwards). Results. The level of physical fatigue during pre-season period was low in both groups. Dynamic stability of the right leg was better in guards (composite score – 105.2 to 101.8 in forwards) while dynamic stability of the left leg remained the same in both groups. Guards had higher total scores in Functional Movement Screen™ tests pointing to the better quality of basic functional movement patterns. Conclusions. The guard’s playing efficiency during the season was higher than that of forwards and it was associated with better dynamic stability and higher level of physical fatigue at pre-season. Indirect indicators of non-contact musculoskeletal sport injuries showed that guards should have lower risk of non-contact sport-related injuries in women basketball.


2018 ◽  
Vol 53 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Bryan Dorrel ◽  
Terry Long ◽  
Scott Shaffer ◽  
Gregory D. Myer

Context:  The Functional Movement Screen (FMS) is a tool used to assess the quality of human movement. Previous FMS researchers reported a difference between the comprehensive and individual FMS test scores of injured and uninjured participants. Objective:  To evaluate the accuracy of the FMS for predicting injury in National Collegiate Athletic Association Division II athletes and to evaluate how an injury definition may affect the prognostic values. Design:  Cross-sectional study. Setting:  University preparticipation examinations. Patients or Other Participants:  A total of 257 collegiate athletes (men = 176, women = 81) between the ages of 18 and 24 years. Main Outcome Measure(s):  The athletes were prospectively screened with the FMS and monitored for subsequent injury. The ability of the FMS to accurately predict musculoskeletal injuries, overall injuries, and severe injuries was determined. Results:  The receiver operating characteristic curve provided the FMS cut score of ≤15 for the study sample. The areas under the curve were 0.53, 0.56, and 0.53 for musculoskeletal injury, overall injury, and severe injury, respectively. Sensitivity was 0.63 (0.62, 0.61, 0.65), whereas specificity was below 0.50 (0.49, 0.49, 0.45) for all 3 injury definitions of musculoskeletal injury, overall injury, and severe injury, respectively. Relative risk was 1.25 for musculoskeletal injuries, 1.24 for overall injuries, and 1.45 for severe injuries. Conclusions:  The overall prognostic accuracy of the FMS offered a slightly better than 50/50 chance of correctly classifying those most at risk for injury. As such, the FMS did not provide discriminatory prediction of musculoskeletal injury, overall injury, or severe injury in National Collegiate Athletic Association Division II athletes. Using the identified optimal cut score produced inadequate validity, regardless of the injury definition. We recommend using the FMS to assess movement quality rather than as a standalone injury-prediction tool until additional research suggests otherwise. Clinicians screening for injury risk should consider multiple risk factors identified in the literature.


2020 ◽  
Vol 185 (3-4) ◽  
pp. 493-498
Author(s):  
Eric M Scudamore ◽  
Sandra L Stevens ◽  
Dana K Fuller ◽  
John M Coons ◽  
Don W Morgan

Abstract Introduction Musculoskeletal injuries threaten military readiness and impose a significant financial burden. The functional movement screen (FMS), a 7-item, preparticipation screening tool, may aid in identifying compensatory movement patterns that can hinder physical performance and lead to injuries in active-duty military personnel. The primary aim of our study was to determine if items scores from the traditional FMS or a modified FMS (mFMS) obtained under loaded conditions can predict dynamic balance scores while wearing a military load. Materials and Methods Thirty physically active adults (19 males and 11 females) who qualified for Army basic training completed unloaded and loaded FMS testing. Loaded balance was assessed using the Y balance test and the Biodex balance system. The mFMS and both loaded balance assessment protocols included a military load consisting of a standard issue rucksack (M.O.L.L.E.), kevlar helmet, and weighted vest (mass = 24.2 kg). Results mFMS item scores were significantly lower than FMS scores for six of the seven movement items. Both FMS and mFMS composite scores were correlated with Y balance scores (FMS: r = 0.53, P = 0.003; mFMS: r = 0.37, P = 0.043). Participants with higher composite scores (≥15) outperformed those with lower composite scores (≤14) for the FMS (P =0.006, d = 1.16) and mFMS (P = 0.031, d = 0.75). Lasso penalized regression analyses revealed that (1) higher unloaded in-line lunge subscores predicted better Y balance scores, (2) loaded trunk stability push-up scores of three predicted worse balance on the Biodex, and (3) unloaded and loaded shoulder mobility scores of 3 predicted better performance on the Biodex balance system. Conclusions The in-line lunge subscore from the FMS was the strongest predictor of torso-loaded balance, and the FMS may be more appropriate than a torso-loaded FMS battery when predicting torso-loaded balance among adults with body composition and fitness profiles similar to those of entering military recruits. These findings provide evidence supporting the use of the conventional FMS to identify active-duty personnel who exhibit greater balance deficits and may develop related musculoskeletal injuries while performing operational tasks that require the transport of heavy loads over long distances.


2017 ◽  
Vol 26 (5) ◽  
pp. 1367-1376
Author(s):  
Da-Jeong Seok ◽  
Pil-Ha Hwang ◽  
Gi-Duck Park ◽  
Dong-Hun Seong ◽  
Seong-Deok Yoon

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