scholarly journals Functional movement screen proficiency of adolescent female volleyball players

2021 ◽  
Vol 9 (2) ◽  
pp. 76-81
Author(s):  
Dimitrije Kovac ◽  
Zarko Krkeljas ◽  
Dusko Spasovski ◽  
Vladimir Grbic ◽  
Lazar Miceta
Keyword(s):  
Motor Development ◽  
Female Athletes ◽  
Functional Limitations ◽  
Young Female ◽  
Functional Score ◽  
Adolescent Female ◽  
Functional Movement Screen ◽  
Functional Movement ◽  
Volleyball Players ◽  
Movement Assessment

Assessments and testing of young athletes often exclude the fundamental and functional movement capacity, which are critical for healthy motor development of adolescents. The aim of this study was to evaluate functional capacity of young female volleyball players and determine if participation in volleyball leads to development of movement dysfunctions. Two-hundred fifty-eight (258) adolescent female volleyball players (14.3 ± 1.7 yrs) underwent the functional movement screen. Person correlation showed no significant relationship between functional tests and playing experience, while age showed significant, but weak relationship with total functional score (r = 0.189; p < 0.005). Overall, 44% of participants scored less than 14. Paired sample t-tests show significant bilateral asymmetries in hurdle step, in-line lunge, and shoulder mobility tests. Functional movement screen was useful in identifying functional limitations and asymmetries in young female athletes. However, as neither age nor playing experience were strongly associated with functional score, more attention should be given to the qualitative movement assessment of individual tests, rather than the composite score.

scholarly journals Is a low Functional Movement Screen score (≤14/21) associated with injuries in sport? A systematic review and meta-analysis

2019 ◽  
Vol 5 (1) ◽  
pp. e000501 ◽  
Author(s):  
Manuel Trinidad-Fernandez ◽  
Manuel Gonzalez-Sanchez ◽  
Antonio I Cuesta-Vargas
Keyword(s):  
Systematic Review ◽  
Female Athletes ◽  
Meta Analysis ◽  
Functional Movement Screen ◽  
Eligibility Criteria ◽  
Functional Movement ◽  
Increased Risk ◽  
Registration Number ◽  
Definition Of ◽  
Evidence Database

ObjectiveTo assess whether Functional Movement Screen (FMS) score is associated with subsequent injuries in healthy sportspeople.DesignSystematic review and meta-analysis.Data sourcesThe following electronic databases were searched to December 2017: Medline, PubMed, PsycINFO, SPORTDiscus, Cumulative Index of Nursing and Allied Health Literature, Scopus, Embase, and Physiotherapy Evidence Database.Eligibility criteria for selecting studiesEligibility criteria included (1) prospective cohort studies that examined the association between FMS score (≤14/21) and subsequent injuries, (2) a sample of healthy and active participants without restrictions in gender or age, and (3) the OR was the effect size and the main outcome.ResultsThirteen studies met the criteria for the systematic review and 12 were included in the meta-analysis. In 5 of the 12 studies, and among female athletes in 1 study, FMS score ≤14 out of 21 points was associated with subsequent injuries. The overall OR of the selected studies in the meta-analysis was 1.86 (95% CI 1.32 to 2.61) and showed substantial heterogeneity (I2=70%).Summary/ConclusionWhether or not a low FMS score ≤14 out of 21 points is associated with increased risk of injury is unclear. The heterogeneity of the study populations (type of athletes, age and sport exposure) and the definition of injury used in the studies make it difficult to synthesise the evidence and draw definitive conclusions.Trial registration numberCRD42015015579.

scholarly journals The Effect of Specific Sling Exercises on the Functional Movement Screen Score in Adolescent Volleyball Players: A Preliminary Study

2016 ◽  
Vol 54 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Paweł Linek ◽  
Edward Saulicz ◽  
Andrzej Myśliwiec ◽  
Monika Wójtowicz ◽  
Tomasz Wolny
Keyword(s):  
Test Score ◽  
Additional Treatment ◽  
Functional Movement Screen ◽  
Sports Activity ◽  
Functional Movement ◽  
The Third ◽  
Volleyball Players ◽  
Type Of Exercise ◽  
Male Subjects ◽  
Test Result

AbstractThe existing data indicate that the result of the Functional Movement Screen (FMS) test influences the likelihood of subsequent injury in professional athletes. Therefore, exercises increasing test scores of the FMS may be useful at various stages of sports activity. This study evaluated the effects of the NEURAC sling exercises method on the FMS test score in teenage volleyball players. The study was conducted on 15 volleyball players aged 14 years. The FMS test was performed three times interspersed with a two-month interval. Between the first and the second assessment, neither additional treatment nor training was applied, while between the second and the third assessment, the participants performed stabilisation exercises based on the NEURAC method. Training was carried out twice a week, for eight weeks. The analysis showed that between the first and the second measurement, no significant differences occurred. The use of specific sling exercises caused a significant improvement in FMS results (p ≤ 0.01) between the first and the third, as well as the second and the third measurement. The applied stabilisation exercises based on the NEURAC method positively influenced the FMS test result in male subjects practicing volleyball. Performance of such exercises also resulted in more than 90% of the subjects having a total FMS test score ≥ 17, which may be important in the prevention of injuries. The preliminary results indicate that this type of exercise should be included in a teenage volleyball training routine.

scholarly journals The Effects of Corrective Exercises on Functional Movement Screen Tests of Elite Female Volleyball Players

2019 ◽  
Vol 54 (4) ◽  
pp. 233-241 ◽  
Author(s):  
Zait Burak Aktug ◽  
◽  
Hasan Aka ◽  
Cengiz Akarcesme ◽  
Mehmet Mesut Celebi ◽  
...  
Keyword(s):  
Functional Movement Screen ◽  
Functional Movement ◽  
Volleyball Players

scholarly journals The Relationship Between Motor Fitness, Fundamental Movement Skills, and Functional Movement Screen in Primary School Children

2020 ◽  
Author(s):  
Hua Wu ◽  
Wichai Eungpinichpong ◽  
Hui Ruan ◽  
Xinding Zhang ◽  
Xiujuan Dong
Keyword(s):  
Motor Development ◽  
Primary School Children ◽  
Functional Movement Screen ◽  
Chi Square ◽  
Test Analysis ◽  
Functional Movement ◽  
Movement Skills ◽  
Motor Fitness ◽  
Fundamental Movement Skills ◽  
The Relationship

AbstractThis study investigates motor fitness (MF), fundamental movement skills (FMS), and functional movement screen (FMS™) in 7-10-year-old children, and evaluates the relationship between FMS , MF and FMS™ combination with Seefeldt’s model for empirical research, thus to present effective strategies of physical development in children. A class was randomly selected in four school grades (1-4) along with 30 students from each to take the Test of Gross Motor Development-2 (TGMD-2). A total of 117 children (42 girls, aged 7-10) participated in three tests: TGMD-2, MF tests, and FMS™. MF levels (good, fair, and poor) and FMS™ levels (high, moderate, and low) were classified according to specific percentile ranges. A multiple (R×C) chi-square test analysis of the relationship between MF, FMS, and FMS™ was applied and post hoc testing estimated the possibility of FMS and FMS™ predicting MF. The results showed that only 43% of children were rated “good” on MF. Most fourth-grade students exhibited a certain gap with mature FMS (TGMD-2 score 70.13±9.68< 96 full scores). Boys scored significantly higher on the object control subtest and the TGMD-2 total score compared to girls (p<0.001), while girls had a significantly greater score than boys on the FMS™ (p=0.001). The results of multiple chi-square demonstrated FMS to be weakly correlated with MF, χ2 (4,N=117) =14.605, p =0.006< 0.01, Cramer’s V = 0.25. Both 60.5% of “excellent” FMS and 59.6% of “high” FMS™ children were categorized as having a “good” MF level. On the other hand, only 23.1% of the “worst” FMS and 24.3% of “low” FMS™ individuals were classified as having a “good” MF level. Our results suggest that MF, FMS, FMS™ are relatively independent systems linking with each other, generating mutual interaction in children’s motor development. At different stages or different advantages of them motor development, we may emphasize training one or a few parts.

scholarly journals The Comparison of the Functional Movement Screen Test Results of Volleyball National Team Players in Different Countries

2018 ◽  
Vol 8 (1) ◽  
pp. 138
Author(s):  
Hasan Aka ◽  
Gürkan Yılmaz ◽  
Cengiz Akarçeşme ◽  
Emre Altundağ
Keyword(s):  
Movement Patterns ◽  
Screen Test ◽  
Nonparametric Tests ◽  
Functional Movement Screen ◽  
Critical Limit ◽  
Functional Movement ◽  
National Team ◽  
Test Kit ◽  
Significant Difference ◽  
Volleyball Players

This study was conducted to compare the functional movement patterns of female volleyball players from different countries. 34 the women&rsquo;s volleyball national team athletes from three different countries participated in the study; Turkey (n=9), Azerbaijan (n=16) and Kyrgyzstan (n=9). Functional movement screen of the athletes were determined by the Functional Movement Screen (FMS) test kit. The Kruskal-Wallis H Test was used for multiple comparisons from nonparametric tests in determining the difference between functional movement patterns of national teams. At the end of the study, it was determined that the FMS total scores of the teams were higher than 14 points which were considered as critical limits and there was no statistically significant difference between the FMS total scores of the teams (p&lt;0.05). However, there were significant differences between the teams in the hurdle step, shoulder clearing test and shoulder mobility tests which formed the FMS test battery. As a conclusion, the fact that volleyball players in each country have more than 14 points of FMS total score, which is the critical limit, shows that volleyball players have low risk of injury. This may be related to the elite level of volleyball players and the implementation of correct training models.

scholarly journals The Relative Contribution of Cognitive and Physical Components in Volleyball Injuries Prediction

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Parvaneh Hesami ◽  
Ramin Balouchy ◽  
Mohammadreza Ghasemian
Keyword(s):  
Performance Test ◽  
Significant Negative Correlation ◽  
Physical Factor ◽  
Functional Movement Screen ◽  
Functional Movement ◽  
Commission Errors ◽  
Cognitive Components ◽  
Barratt Impulsiveness Scale ◽  
Injury Occurrence ◽  
Volleyball Players

Background: Researchers have always sought to investigate the factors affecting sports injuries in order to identify ways of preventing and controlling such factors. These studies have more emphasis on physical aspects, while the cognitive and psychological components may also be effective. Objectives: The present study was conducted to answer the question whether or not injury can be predicted in volleyball athletes through physical and cognitive components. Methods: For this purpose, 50 volleyball players with the age range of 18 to 25 years old participated in the study. The subjects were evaluated using Barratt impulsiveness scale, Functional movement screen and continuous performance test (for sustained attention). Then, the injuries occurrence were recorded. Furthermore, logistic regression test was run to predict injury in athletes and the bi-serial correlation coefficient was used to investigate the relationship between the factors. Results: The findings showed that there was a significant negative correlation between functional movement screen scores and injuries occurrence. There was also a significant positive correlation between omission and commission errors and injury occurrence, meaning that alongside the increase in the omission and commission errors, the injury occurrence increased; however, there was no significant relationship between the scores of Barratt impulsiveness scale and the injury occurrence. Conclusions: The findings of this study showed that mental and cognitive components, along with the physical factor, play a significant role in injury occurrence in volleyball players, so it is better to consider it in prevention and rehabilitation programs.

Functional Movement Screen Score Change and Injury Occurrence in Collegiate Female Athletes Across Two Seasons

2015 ◽  
Vol 47 ◽  
pp. 854
Author(s):  
Christine O. Samson ◽  
Michael Dew ◽  
Ronald W. Courson ◽  
Brian G. Ragan ◽  
Kathy J. Simpson ◽  
...  
Keyword(s):  
Female Athletes ◽  
Functional Movement Screen ◽  
Score Change ◽  
Functional Movement ◽  
Injury Occurrence ◽  
Collegiate Female Athletes

scholarly journals Comparing Functional Movement Screen Scores Between Athlete and Non-Athlete Female Students

2020 ◽  
Vol 5 (4) ◽  
pp. 240-249
Author(s):  
Maral Entezami ◽  
◽  
Ali Shamsi Majelan ◽  
Hasan Daneshmandi ◽  
◽  
...  
Keyword(s):  
Female Athletes ◽  
Movement Patterns ◽  
Female Students ◽  
Functional Movement Screen ◽  
Test Results ◽  
Functional Movement ◽  
Significance Level ◽  
Significant Difference ◽  
The Mean ◽  
The Difference

Objective: The present study aimed to compare the Functional Movement Screen (FMS) scores between athlete and non-athlete female students. Methods: Participants were 30 athlete female students (Mean±SD age, 23.36±3.10 years; Mean±SD height, 163.45±5.06 cm; Mean±SD weight, 57.40±6.43 kg) and 30 non-athlete female students (Mean±SD age, 25.00±2.36 years; Mean±SD height, 162.6±3.72; Mean±SD weight, 58.76±9.29 kg). They underwent FMS to assess their movement patterns. Mann–Whitney U test was used to compare the mean FMS scores between athletes and non-athletes. Data analysis was performed in SPSS v. 22 software at a significance level of P≥0.05. Results: The Mann–Whitney U test results showed a significant difference between the total mean FMS scores of female athletes and non-athletes (P=0.001). Considering a cut-off point of 14, Results revealed that 66% of athletes 40% of non-athletes had a FMS score <14, while 93.34% of athletes and 60% of non-athletes had a FMS score >14. Conclusion: FMS can help identify the difference in movement patterns between female athletes and non-athletes. Higher FMS scores of female athletes indicate that non-athletes have poor movement patterns which suggest that they are more likely to be injured if they engage in sports activities.

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