The purpose of this study is to investigate the effect of functional mobility analyse and body stability on service performance among veteran tennis players. 25 veteran (senior) players (X̄age: ...40.79±4.2) who are active licenced, have participated in the study voluntarily. The analyse of body stability of participant group has been done by using 4 core endurance tests; plank test (PT), lateral bridge test (LBTdom./non-dom.), flexor endurance test (FET) and extensor endurance test (EET). The evaluation of the participant’s mobility ability has been done with Functional Movement Screening test (FMS). Service performance scale has been conducted with Sports Radar Speed Gun SR3600. Participants have been asked for serving 8 times at maximal speed, the shots would be aimed at the cross service box with the dominant hand, accordingly with the tennis rules, balls which are hung to the net and out of service court (out) have been invalidated. Spearman Rank Order correlation analyse has been done on the gathered data by considering normality distribution at SPSS for windows 20.0 programme. In conclusion; a relationship couldn’t be found between the FMS and service performance speed rates of veteran (senior) tennis players. While it has been seen that there is a relationship between service performance speed and from the body stability core endurance tests; LBT (dominant), (p lt;0,05; r=0,550) FET (p lt;0,05; r=0,426) and EET (p lt;0,05; r=0,460), a relationship between PT and LBT(non-dom.) and service performance and between FMS and body stability core endurance tests hasn’t been encountered. A healthy psychical structure with a wide range of mobility can contribute to the performance of a variety of sport branches including tennis. When the role of service performance in a tennis match has been taken into account, it has been considered as one of the most important part of a play. For the studies that can be done in the future, with increasing the number of subjects, also using video analyse system can be recommended.
Purpose: Low back pain is humans’ most common musculoskeletal complication. The prevalence of this disorder is reported at 80% during the lifetime. This study aims to investigate the relationship ...between functional tests and low back pain in active women and men. Methods: This was a cross-sectional correlational research. A total of 80 active men and women with non-specific chronic low back pain in the age range of 20 to 35 years were selected based on the inclusion and exclusion criteria. The level of pain was measured using the visual analogue scale test and after a 10-min warm-up, the performance was measured using the functional movement screen, +9, and Y balance functional tests. We used the SPSS software, version 21 to analyze the data at a significance level of 0.95. Results: The results of the Spearman correlation coefficient test showed a significantly negative relationship between low back pain and functional tests of functional movement screen and +9 (r=-0.66, P=0.001; r=-0.71, P=0.001, respectively). In addition, a significantly negative correlation was observed between the Y balance test and the amount of low back pain in active women and men (r=0.71, P=0.001). Conclusion: By increasing the participants’ performance, their low back pain is likely to decrease, and specialists, coaches, and occupational therapists can probably reduce the low back pain in individuals with non-specific chronic low back pain by improving motor function.
Previous injury is the strongest risk factor for future injury in sports. It has been proposed that motor-control changes such as movement limitation and asymmetry associated with injury and pain may ...be perpetuated as part of an individual's movement strategy. Motor control of fundamental 1-×-body-weight tasks can reliably and efficiently be measured in the field.
To determine whether the motor control of fundamental movement patterns and pattern asymmetry have a relationship with time-loss injury over the course of the preseason in professional football.
Injury-risk study.
American professional football facilities.
238 American professional football players.
To measure the motor control of 1-×-body-weight fundamental movement patterns, Functional Movement Screen scores were obtained before the start of training camp. The previously established cutoff score of ≤14 and the presence of any asymmetries on the FMS were examined using relative risk to determine if a relationship exists with time-loss injury.
Time-loss musculoskeletal injury defined as any time loss from practice or competition due to musculoskeletal injury.
Players who scored ≤14 exhibited a relative risk of 1.87 (CI95 1.202.96). Similarly, players with at least 1 asymmetry displayed a relative risk of 1.80 (CI95 1.112.74). The combination of scoring below the threshold and exhibiting a movement asymmetry was highly specific for injury, with a specificity of .87 (CI95 .84.90).
The results of this study suggest that fundamental movement patterns and pattern asymmetry are identifiable risk factors for time-loss injury during the preseason in professional football players.
Objective: To identify possible differences in movement quality through the functional movement screen (FMS) between injured and non-injured adolescent acrobatic gymnasts in the last season. Method: ...descriptive, comparative, cross-sectional study involving 20 adolescent female gymnasts divided into two groups, one composed of 9 gymnasts who had suffered an injury in the last season (14,7±1,56) and the other composed of 11 gymnasts who had not suffered any injury (13,9±2,25). The FMS battery was used, consisting of seven tests: deep squat, hurdle step, in-line lunge, shoulder mobility, active straight leg raise, trunk stability in push-ups, trunk rotational stability. Results: Of the nine gymnasts who had sustained an injury, 66.6% were located in the lower limb, ankles and knees. The results of the total functional assessment of FMS using the Mann Whitney U statistic for independent samples showed no statistically significant differences between groups (Z = -.393; p > 0.05), with the average range of FMS being similar in both cases (10.05 and 11.06 in injured and non-injured gymnasts respectively). It also showed the absence of significant differences in each of the tests of the battery, and no relationship was found through Spearman’s R statistic, between the overall FMS score and the group of injured gymnasts. Conclusion: The results of the FMS total score were slightly higher in gymnasts who were not injured last season, as well as slightly better in all the lower body tests, hence the FMS can be used as a preventive programmed to detect possible deficiencies.
This study aimed to identify whether a revised lower Functional Movement Screen (FMS) composite score threshold would be associated with a greater injury risk for junior athletes than the common ...threshold of≤14. This prospective cohort study included tracking of 809 elite junior male Australian football players for injuries that resulted in a missed game. All athletes completed pre-season FMS testing and a 12-month self-reported retrospective injury questionnaire. Analyses examined the relationship between composite score thresholds of≤14, ≤13, and≤12 and the risk of injury. The relationship between prospective injury and the common composite threshold score of ≤ 14 was dependent on the presence of a recent injury history (relative risk RR = 1.45, p = 0.004) in comparison to no recent injury history (RR = 0.98, p = 0.887). Scoring≤12 in the presence of a recent injury history had the greatest diagnostic accuracy but only a trivial increase in injury risk (RR = 1.59, p = 0.001, sensitivity = 0.35, specificity = 0.80, negative and positive likelihood ratios = 0.81 and 1.75). Whilst some small statistical relationships existed between prospective injury and the FMS composite score thresholds, all three thresholds were not associated with a clinically meaningful relationship with prospective injury and were no more effective than retrospective injury for determining athletes at risk of injury.
Judo and karate are polystructural acyclic sports, which require development of a great number of human abilities and characteristics. Although both are martial arts, they differ greatly in the ...requirements and quality of performance of individual movements. The aim of this study was to determine the differences in the quality of performing movements between karatekas, judokas and non-athletes. The respondents were 60 young people (14.1 - 14.6 years), 20 of which belonged to the group of "judokas", 20 to the group of "karatekas" and 20 to the group of "non-athletes". All individuals were physically and mentally healthy, and were fit to undergo testing. The sample of variables consisted of 7 tests, which belong to the Functional Movement Screen (FMS) method of testing the movement functionality. By using the ANOVA test, in 4 variables showed up statistically significant difference (p<0.05). Group of non-athletes has the lowest values in all tests, especially in deep squat, active straight-leg raise, and rotary stability. Judokas performed the lowest values in the shoulder mobility test. The main conclusions of this paper are that training content should be specific to sports, and sports (in this case martial arts) have a positive effect on the development of the locomotor system, which could be useful for properly perform basic movements which humans use in everyday life.
OBJECTIVES The purpose of the present study was to investigate the effects of a core training program on functional movement screen, skill performance, competitive state anxiety, and trait sport ...confidence of college football players.METHODS College football players were divided into core training (n=25) and control (n=16) groups. Core training was conducted for a total of 12 weeks of 2 sessions per week with 50 minutes per session. Pre, mid (6 weeks), and post (12 weeks) tests measured functional movements, and skill performance such as dribbling, agility, speed, momentum and competitive state anxiety, trait sport-confidence. For analysis of study results, descriptive statistics, and two-way ANOVA with repeated measures were used.RESULTS The study results showed overall improvements for the core training group in functional movement test scores, skill performance, and competitive state anxiety, trait sport-confidence. In addition, the core training group also showed significant improvement in the total factors, except for hurdle step, and rotary stability.CONCLUSION In conclusion, data shows a core training program improves functional movement screen scores, skill performance, competitive state anxiety, and trait sport-confidence of college football players.
Background
Current literature illustrates a disparity in trunk stability push up performance (TSPU), as measured by the Functional Movement Screen (FMSTM), in females throughout the lifespan when ...compared to their male counterparts.
Hypothesis/Purpose
The purpose of this study was to evaluate the effectiveness of a novel exercise approach to a trunk stability (NEATS) program compared to a standard Pilates program on TSPU performance in active females aged 18-45 years. It was hypothesized that subjects in the NEATS program would have greater improvements on outcomes related to trunk stability than subjects in the Pilates program.
Study Design
Randomized controlled trial
Methods
All subjects were tested at baseline on Beighton criteria, the FMSTM, Y-Balance Test Upper Quarter and Lower Quarter, and grip strength by an evaluator blinded to group allocation. Subjects were randomized into the NEATS (n=17) or the Pilates group (n=19). The intervention period lasted eight weeks, with exercise progression at weeks two, four, and six.
Results
The main outcome was between-group pass rates on the TSPU. At posttest, 41% (n=7) of the NEATS group and 42% (n=8) of the Pilates group passed the TSPU, though there was no difference between groups (p=0.97). Significant differences were noted on the TSPU (Pilates, NEATS p=0.01) and composite scores (Pilates p=0.01; NEATS p=0.03). No within-group improvements were noted on the individual scores of the FMSTM (p=0.05-0.66). Within-group differences were noted on the posterolateral reach on the Y-Balance Test Lower Quarter (p=0.03) in the Pilates group. Between-group posttest continuous measures were not significantly different (p=0.17-0.96).
Conclusion
Improvements in trunk stability were comparable between the multi-planar NEATS program and a standard Pilates program suggesting that both can be used to improve trunk stability performance in active females.
Level of Evidence
2
OBJECTIVE:The Functional Movement Screen (FMS) is a battery of 7 unloaded tests designed to rate human movement competency. Injury rates vary across the different level of a sport. The purpose of ...this critical review was to determine whether normative FMS composite scores differ across high school, collegiate, and professional athletic populations and to determine whether normative composite scores correlate with rates of severe injury across different collegiate sports.
DATA SOURCES:PubMed, Web of Science, and EBSCO databases from inception to September 2017 with the following syntax“functional movement screen*” OR “movement screen*”. Additional records were identified by citation tracking and hand search of articles.
STUDY SELECTION:A total of 708 records identified, of which 36 were included. Studies were included if they reported a FMS composite score for one of the groups.
DATA EXTRACTION:Two reviewers (T.R.P. and F.K.) screened records for the author and year; sample size; study design; sport(s); number, age, and sex of participants; testing conditions; methodological quality; and mean or median composite score(s).
DATA SYNTHESIS:Normative FMS composite scores were invariant to level of play, with 61% of reported scores falling between 14 and 16, despite injury rates increasing by level of play. Scores for high school, college, and professional athletes were 14.1, 14.8, and 15.7, respectively. There was a significant positive relationship between composite scores and rate of severe injury in college sports (r(11) = 0.66, P = 0.014).
CONCLUSIONS:Our findings potentially undermine the FMSʼs predictive validity. Although the FMS may have other applications, this critical review provides further evidence against the composite score for injury prediction in competitive athletes.
The modified Functional Movement Screen™ (mFMS) has been used to screen for mobility, stability, motor control, and balance in older adults, yet, its relationship to measures of physical fitness is ...not fully understood. The purpose of this study was to determine the association between mFMS scores and measures of physical fitness in older adults. A secondary aim was to determine physical fitness differences depending on mFMS Lower Body Motor Control Screen scores.
One hundred and eight older adults completed this cross-sectional study. Measurements of physical fitness included: Handgrip Strength (HG), Back-Leg Strength Dynamometer (BLS), 8 foot Up and Go (8UG), Vertical Jump (VJ), Medicine Ball Throw (MBT), Chair Stand (CST), Arm Curl (AC), and 6-Minute Walk test (6 MW). The mFMS consisted of four screens: Shoulder Mobility Screen (SMS), Deep Squat (DS), Active Straight Leg Raise (ASLR), and a Lower Body Motor Control Screen (LB-MCS). Spearman's R correlations determined associations between physical fitness tests and mFMS scores (DS, SMS, ASLR). Independent t-tests or Mann Whitney U tests determined whether individuals who passed the LB-MCS displayed higher physical fitness scores.
The DS was significantly correlated with all fitness measures (p < 0.05). Higher DS scores were associated with better HG (r = 0.31), BLS (r = 0.49), VJ height (r = 0.54), MBT (r = 0.41), CST (r = 0.57), AC (r = 0.30), 6 MW (r = 0.50), and 8UG (r = −0.61) performance. Individuals who passed the LB-MCS displayed superior BLS, 8UG test, and 6 MW test performance (p < 0.05).
Higher DS scores are associated with higher physical fitness scores. Individuals who passed the LB-MCS displayed better physical fitness scores. Practitioners may desire to use the mFMS to measure physical fitness in older adults.
