scholarly journals FMS SKRINING KAO REVOLUCIONARNO – REHABILITACIONI MERNI INSTRUMENT U SPORTU I REKREACIJI

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Armin Zećirović ◽  
Dragana Rodić ◽  
Mila Manić ◽  
Ilma Čaprić ◽  
Konstantinos Stratakis ◽  
...  
Keyword(s):  

Međunarodni sportski programi utvrdili su procedure FMS skrininga kao suštinsku komponentu za identifikaciju učenika, sportista i rekreativaca koji su pod visokim rizikom da postanu povređeni. Cilj rada je da se utvrdi upotreba Functional Movement Screeninga (FMS), kao sistema koji se bavi analizom funkcionalnih obrazaca pokreta i njihovih komponenti i utvrđuje efikasnost lokomotornog sistema, kroz procenu mobilnosti, motorne kontrole i stabilnosti. Istraživanje je obuhvatilo trinaest originalnih naučnih radova. Svi radovi su zadovoljili problematiku i mogli su da daju odgovor na postavljeni cilj. Kao metod uzeta je selekcija radova od 2010. do 2015. godine.

2014 ◽  
Vol 45 (S 01) ◽  
Author(s):  
D. Ebrahimi-Fakhari ◽  
K. Kang ◽  
U. Kotzaeridou ◽  
S. Schubert-Bast ◽  
J. Kohlhase ◽  
...  

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

Work ◽  
2021 ◽  
pp. 1-8
Author(s):  
Fatemeh Khoshroo ◽  
Foad Seidi ◽  
Reza Rajabi ◽  
Abbey Thomas

BACKGROUND: Distinctive features of low back pain-developers (LBPDs) as pre-clinical low back pain (LBP) population have been evidenced in three areas of alignment, muscle activation, and movement patterns. To clarify whether the reported altered functional movement patterns in chronic LBP patients result from or result in LBP disorders, LBPDs’ functional movement patterns should be investigated. OBJECTIVES: This study aimed to compare female LBPDs’ functional movement patterns with non-pain developers’ (NPDs). METHODS: Sixty female LBPDs and NPDs were recruited based on the research requirements. The Functional Movement Screen (FMS) was used to investigate movement quality. Data were compared between groups via Mann-Whitney U tests and correlation analyses examined association between pain intensity and onset during prolonged standing and the FMS score. Receiver Operating Characteristic Curves and Chi Squares were conducted to find the best cutoff points. An alpha level of p≤0.05 was used to establish statistical significance. RESULTS: LBPDs scored significantly lower, or rather worse than NPDs in the FMS composite score (12.06±1.33 vs. 16.43±1.59, U = 3, P <  0.001). Moreover, the optimal cutoff scores of≤14 on the FMS, 2 on the push-up, and 1 on the deep squat discriminated between female LBPDs and NPDs. The FMS composite score was correlated negatively with LBP intensity (r (60) = –0.724, p <  0.001) and positively with LBP onset (r (60) = 0.277, p = 0.032) during prolonged standing. Finally, the results indicated that female LBPDs presented with at least one bilateral asymmetry on the FMS had 10 times (95%CI, 2.941–34.008) and with at least two bilateral asymmetries on the FMS had 15.5 times (95%CI, 3.814–63.359) higher odds of developing LBP during prolonged standing than NPDs. CONCLUSIONS: Female LBPDs, who are at higher risk for developing LBP in the future, have significantly lower quality of functional movement patterns compared to NPDs. Moreover, the FMS appears to show promise for predicting individuals who are at risk for LBP development during prolonged standing.


2021 ◽  
Vol 9 (7_suppl3) ◽  
pp. 2325967121S0017
Author(s):  
Sophia M. Ulman ◽  
Laura Saleem ◽  
Kirsten Tulchin-Francis

Background: The Functional Movement Screen (FMS) is a tool designed to establish a baseline for fundamental movement capacity, highlight limitations and limb asymmetries, and identify potential injury risk. Previous research has shown that individual components of the screen are also indicative of injury risk, as well as potential predictors of athletic performance unlike the FMS composite scores. However, this literature is limited and lacks statistical power. Identifying which component scores are predictive of injury risk and athletic performance would provide a quick, powerful tool for coaches and trainers to evaluate athletes. Purpose: To determine if individual component scores of the FMS are associated with athletic performance in highly-active youth athletes. Methods: Youth athletes participated in the Specialized Athlete Functional Evaluation (SAFE) Program. Data collection was extensive, however, for the purpose of this abstract, only a selection of data was analyzed – age, BMI, years played, total number of past injuries, isokinetic knee strength, 10- and 20-meter sprint, single-leg hop (SLH) distance, and FMS scores. Seated knee flexion/extension strength was collected at 120°/second using a Biodex System 4, and peak torque was normalized by body weight. The maximum distance of three SLHs was recorded for each leg and normalized to leg length. FMS scores used for analysis included the total composite and component scores, including the deep squat, hurdle step, in-line lunge, shoulder mobility, active straight-leg raise, trunk stability push-up, and rotary stability. Wilcoxon Signed Ranks Tests were used to determine side-to-side differences, and Kruskal-Wallis tests were performed to determine differences in athletic performance based on FMS scores ( α<0.05). Results: A total of 38 highly-active, youth athletes (26F; 15.4±2.6 years; BMI 21.0±5.3) were tested. Participants reported playing organized sports for 8.7±3.4 years, having 2.0±1.2 past sports-related injuries, and 74% reported specializing in a single sport. No side-to-side differences were found. While the composite FMS score significantly differed by number of past injuries ( p=0.036), it was not associated with athletic performance. Alternatively, left knee strength, sprint speeds, and right hop distance significantly differed by the hurdle step component score (Table 1). Conclusion: While the composite FMS score was not an indicator of athletic performance, the hurdle step component score was associated with strength, speed, and jump performance. This individual task could be a beneficial tool for coaches and trainers when evaluating athletic ability and injury risk of athletes. Tables/Figures: [Table: see text]


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