scholarly journals Which Postural Control and Functional Movement Screen Values Related to Change of Direction Runs?

2021 ◽  
Vol 9 (4) ◽  
pp. 0-0
Author(s):  
Çağlar EDİS ◽  
Keyword(s):  
Postural Control ◽  
Functional Movement Screen ◽  
Functional Movement ◽  
Change Of Direction

Effect of Active Corrective Exercise on Spine Deformation and Functional Movement Screen in Elementary School Student

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

scholarly journals HURDLE STEP COMPONENT SCORE FROM THE FUNCTIONAL MOVEMENT SCREEN IS ASSOCIATED WITH STRENGTH, SPEED, AND JUMP PERFORMANCE

2021 ◽  
Vol 9 (7_suppl3) ◽  
pp. 2325967121S0017
Author(s):  
Sophia M. Ulman ◽  
Laura Saleem ◽  
Kirsten Tulchin-Francis
Keyword(s):  
Athletic Performance ◽  
Injury Risk ◽  
Functional Movement Screen ◽  
Jump Performance ◽  
Functional Movement ◽  
Youth Athletes ◽  
Component Score ◽  
Highly Active ◽  
Knee Strength ◽  
Component Scores

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]

Interrater Reliability of the Functional Movement Screen

2010 ◽  
Vol 24 (2) ◽  
pp. 479-486 ◽  
Author(s):  
Kate I Minick ◽  
Kyle B Kiesel ◽  
Lee Burton ◽  
Aaron Taylor ◽  
Phil Plisky ◽  
...  
Keyword(s):  
Interrater Reliability ◽  
Functional Movement Screen ◽  
Functional Movement

The Functional Movement Screen as a predictor of injury in professional basketball players

2015 ◽  
Vol 26 (6) ◽  
pp. 619-623 ◽  
Author(s):  
Michael G. Azzam ◽  
Thomas W. Throckmorton ◽  
Richard A. Smith ◽  
Drew Graham ◽  
Jim Scholler ◽  
...  
Keyword(s):  
Functional Movement Screen ◽  
Basketball Players ◽  
Functional Movement ◽  
Professional Basketball

Can Injuries Be Predicted by Functional Movement Screen in Adolescents? The Application of Machine Learning

2021 ◽  
Vol 35 (4) ◽  
pp. 910-919
Author(s):  
Josip Karuc ◽  
Marjeta Mišigoj-Duraković ◽  
Marko Šarlija ◽  
Goran Marković ◽  
Vedran Hadžić ◽  
...  
Keyword(s):  
Machine Learning ◽  
Functional Movement Screen ◽  
Functional Movement
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