Assessment of fundamental movement patterns and risk of injury in male soccer players

Physiotherapy ◽  
2017 ◽  
Vol 24 (2) ◽  
Author(s):  
Stanisław Gadziński ◽  
Agata Masłoń ◽  
Dorota Czechowska ◽  
Joanna Golec ◽  
Elżbieta Szczygieł ◽  
...  
Keyword(s):  
Functional Status ◽  
Age Groups ◽  
Soccer Players ◽  
Functional Movement Screen ◽  
Test Results ◽  
Motor Tasks ◽  
Functional Movement ◽  
Risk Of Injury ◽  
The Mean ◽  
Fundamental Movement Patterns

AbstractIntroduction. The aim of the study was to assess the functional status of male soccer players in different age groups who played on different surfaces. Methods. The study included 45 soccer players aged 13-35 years. Among them, 15 were junior players, 15 were players of the senior Silesia-Opole 3rd league (SL), and 15 were senior players in the futsal Extra Class league (SF). The functional status and basic motor skills were assessed according to the results obtained in seven motor tasks included in the Functional Movement Screen™ (FMS) test. Results. The mean total scores in the FMS test were statistically significantly higher among both senior futsal and senior 3

scholarly journals An investigation into the use of the Functional Movement Screen as a predictor of injury in CrossFit athletes in the eThekwini municipality

2018 ◽  
Author(s):  
◽  
Michelle Richardson
Keyword(s):  
Training Programme ◽  
Mean Value ◽  
Normative Values ◽  
Functional Movement Screen ◽  
Functional Movement ◽  
Trunk Stability ◽  
Mobility Test ◽  
The Mean ◽  
Fundamental Movement Patterns ◽  
Push Up

Background: CrossFit is a popular and unique exercise training programme and competition. Despite the popularity of this training programme there is a high incidence of injury amongst the athletes. The Functional Movement Screen™ (FMS™) is a pre-participation assessment which grades seven tests which screen fundamental movement patterns of athletes to possibly predict future injury. No studies have successfully looked at the use of the FMS™ to predict injury in CrossFit athletes. Aims: The aim of this study is to establish the normative values of the FMS™, which have yet to be determined for CrossFit athletes, and to determine the use of these values as a predictor for future injury. Methods: The methodology included scoring 61 CrossFit athletes using the FMS™ one month prior the “United We Stand (UWS) Games 2017”. Additionally, the athletes were required to fill out a questionnaire which was used to assess for additional risk factors for injury. The athletes were thereafter tracked documenting CrossFit specific injury over the course of the one month training period that lead up to and included participation in the “UWS Games 2017” in order to compile a injury profile. The mean FMS™ was then compared to the injuries sustained. Results: The research sample revealed that the mean FMS™ score for CrossFit athletes was 17.73 out of 21. There was no significant link between the mean value when compared to the injury rates and this was therefore not a predictor of injury. There were significant findings that showed that using components of the FMS™ as a method of injury prediction in CrossFit athletes was possible; specifically, a low trunk stability push-up test score increased the likelihood of sustaining injury and previous injury negatively impacted the shoulder mobility test. Further findings suggested that Body Mass Index (BMI) negatively impacted the performance of the FMS™, and the boxes with which the athletes were affiliated, influenced the total FMS™ scores. The most common types of injuries recorded were joint dysfunction and muscle strain and the most common locations of injury were the shoulder, knee and lower back. Conclusions: Aspects of the FMS™ were a statistically significant predictor of injury in CrossFit athletes, specifically that of the shoulder mobility test and the trunk stability push-up test. Other findings concluded that factors such as the BMI and the box that athletes trained under influenced the FMS™ outcome. The normative value of 17.73 out of 21 for the FMS™ was provided as reference values for CrossFit athletes in order to assist with the interpretation of future scores when screening athletes.

scholarly journals EFFECT OF “FIFA 11+” ON THE PATTERN OF FUNDAMENTAL MOVEMENTS IN UNDER-14 SOCCER PLAYERS

2017 ◽  
Vol 23 (6) ◽  
pp. 465-468 ◽  
Author(s):  
Gerald Baeza ◽  
Gustavo Paredes ◽  
Pablo Vega ◽  
Manuel Monrroy ◽  
Rubén Gajardo-Burgos
Keyword(s):  
Movement Patterns ◽  
Neuromuscular Control ◽  
Soccer Players ◽  
Control Group ◽  
Functional Movement Screen ◽  
Post Intervention ◽  
Functional Movement ◽  
Quasi Experimental ◽  
Fundamental Movement Patterns ◽  
Deep Squat

ABSTRACT Introduction: Increasing youth participation in soccer has several benefits, but it also brings risks of injury. The use of neuromuscular techniques is effective in preventing injuries, especially in periods of growth as occurs in puberty, which coincides with the development of fundamental basic movements. Therefore, it is important to implement and evaluate prevention programs that focus on neuromuscular control during this stage. Objective: To determine the effect of the FIFA 11+ over a six-week training period in order to quickly improve fundamental movement patterns in under-14 soccer players. Method: A quasi-experimental study that evaluated the fundamental movement patterns through the Functional Movement Screen (FMS) in 22 athletes who were divided into a control group (CG; N=11) and an experimental group (EG; N=11), submitted to the program FIFA 11+ for six weeks. The SPSS 20.0 program was used to analyze the data. Results: Statistically significant improvements were found in the in-line lunge (IL) and in the post-intervention FMS total scores in EG, as well as intergroup improvements when testing the deep squat (DS) in the EG, but not in both groups. Conclusions: The six week FIFA 11+ program did not produce significant improvements in players’ fundamental movements.

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.

scholarly journals Distances between mandibular posterior teeth and the WALA ridge in Peruvians with normal occlusion

2017 ◽  
Vol 22 (6) ◽  
pp. 56-60 ◽  
Author(s):  
Carla Y. Kong-Zárate ◽  
Marcos J. Carruitero ◽  
Will A. Andrews
Keyword(s):  
Age Groups ◽  
Test Results ◽  
Posterior Teeth ◽  
Normal Occlusion ◽  
Tooth Type ◽  
The Mean ◽  
Student’S T ◽  
Mandibular Posterior Teeth ◽  
Digital Caliper ◽  
Student’S T Test

ABSTRACT Objective: The purposes of this investigation were to determine the horizontal distances between the mandibular posterior teeth and the WALA ridge in a sample of Peruvians with normal occlusion and to compare them by tooth type, sex, arch side, and age groups. Methods: 65 dental casts of subjects with normal occlusion were collected. Posterior teeth, except for third molars, were evaluated. The horizontal distances between the occluso-gingival midpoints of the buccal surfaces (FA points) of each tooth and the WALA ridge were measured using a modified digital caliper. The values between each different tooth type within the sample were compared using the ANOVA and Scheffe tests, while comparisons by sex, arch side and age groups, using the Student’s t-test. Results: The mean distances in the sample was 0.96 mm for first premolars, 1.45 mm for second premolars, 2.12 mm for first molars and 2.55 mm for second molars. Statistically significant differences between each of the four tooth types were found. There were no significant differences found between sex, arch side and age groups. Conclusion: The horizontal distances between the mandibular posterior teeth and the WALA ridge increased progressively from the first premolars to the second molars in Peruvians with normal occlusion. The WALA ridge was a good landmark to evaluate the positions of posterior teeth in Peruvians with normal occlusion.

scholarly journals Injury Risk and Injury Burden Are Related to Age Group and Peak Height Velocity Among Talented Male Youth Soccer Players

2018 ◽  
Vol 6 (12) ◽  
pp. 232596711881104 ◽  
Author(s):  
Hans Jan Bult ◽  
Maarten Barendrecht ◽  
Igor Joeri Ramon Tak
Keyword(s):  
Injury Risk ◽  
Age Groups ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Incidence Density ◽  
Chronological Age ◽  
Peak Height Velocity ◽  
The Mean ◽  
Injury Burden

Background: The relationship between injury risk (IR) in age groups and periods around peak height velocity (PHV) remains unclear. PHV is defined as the moment of the largest increase in body height. Purpose: To investigate injury risk and injury burden as functions of growth velocity (periods around PHV) and chronological age groupings (under 12 years [U12] to U19) in talented youth male soccer players. Study Design: Cohort study; Level of evidence, 2. Methods: A total of 170 players from the youth academy of a Dutch soccer club (highest professional league: Eredivisie) were observed for 1 to 3 seasons. Injuries, exposure, PHV age, and chronological age were registered. The injury incidence density (IID) and injury burden per 1000 hours of soccer participation, with 95% CIs, were calculated for 5 PHV periods and 7 age groups. These were compared with the overall cohort results using incidence ratios (IRs) and burden ratios (BRs) with 95% CIs. Results: The mean age at PHV was 14.4 ± 0.65 years (range, 12.8-16.5 years). The mean IID for the total cohort was 8.34 injuries per 1000 hours (95% CI, 7.71-9.02). Compared with the overall mean, a significantly higher IID was found for PHV period 4+5 (IR, 1.31 [95% CI, 1.00-1.71]; P = .049) and for the U15 group (IR, 1.49 [95% CI, 1.24-1.79]; P < .001). The overall injury burden was 58.37 injury days per 1000 hours (95% CI, 56.66-60.13). In PHV period 4+5, the injury burden was significantly higher (BR, 1.53 [95% CI, 1.39-1.68]; P < .001) when compared with the overall mean. Also, compared with the overall mean, the injury burden was higher in the U16 (BR, 1.48 [95% CI, 1.39-1.58]; P < .001), U15 (BR, 1.28 [95% CI, 1.19-1.38]; P < .001), and U17 groups (BR, 1.21 [95% CI, 1.13-1.31]; P < .001). Conclusion: Talented young soccer players were more prone to injuries during the 6 months after PHV (31% above overall mean) as well as in the U15 group (49% above overall mean). Based on the higher injury burden in the U16 (48%), U15 (28%), and U17 (21%) groups, we suggest that research on injury risk factors and preventive measures should primarily target these age groups. Additional interventions based on PHV may be of limited value from a screening perspective. Further research is needed on the interaction between age groups and PHV periods.

scholarly journals The Level of the Functional Movement Screen Among Traditional Dancers

2021 ◽  
Vol 17 (11) ◽  
pp. 103
Author(s):  
Segar A/L A. Maniveloo ◽  
Borhannudin Abdullah ◽  
Shamsulariffin Samsudin
Keyword(s):  
Descriptive Analysis ◽  
Rotational Stability ◽  
Functional Movement Screen ◽  
Stability Tests ◽  
Functional Movement ◽  
Risk Of Injury ◽  
Significant Difference ◽  
Quasi Experimental ◽  
The Difference ◽  
Deep Squat

Movement assessments are commonly used to assess athlete&rsquo;s risk of injury as well as basic and specific skill movement patterns; however, dance is identified to be differing from sports because the average dancer&rsquo;s training load is higher than the athletes. This study aims to identify the difference in the Functional Movement Screen (FMS) level among traditional dancers in Malaysia. A quasi-experimental study design was adopted, which involved 66 dancers (M = 33; F = 33). The study comprised traditional dancers from three ethnic backgrounds, namely, Malay, Chinese and Indian. The descriptive analysis described the level of the dancers&rsquo; FMS, as follows: Malay (M = 16.18, SD = 2.062), Chinese (M = 18.50, SD = 1.102), Indian (M = 18.23, SD = 1.445). The ANOVA analysis found a significant difference in the FMS scores among all three groups of dancers, F (2,63) = 14.026, p &gt;.000. The deep squat, hurdle step, shoulder mobility, active straight leg raise and trunk stability tests for push-up indicated a significant difference, whereas the inline lunges test and rotational stability tests showed no significance difference. However, the Post Hoc analysis showed no significant difference between the Chinese and Indian dancers. It can be concluded that there is a difference in FMS scores between Malay, Chinese and Indian dancers. FMS may be a useful tool to help identify dancers about the risk of injury and improve their movement quality.

scholarly journals Functional Movement Screen Scores and Physical Performance among Youth Elite Soccer Players

Sports ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. 16 ◽  
Author(s):  
Bruno Silva ◽  
Filipe Clemente ◽  
Miguel Camões ◽  
Pedro Bezerra
Keyword(s):  
Physical Performance ◽  
Soccer Players ◽  
Functional Movement Screen ◽  
Functional Movement

scholarly journals Reliability assessment of the functional movement screen for predicting injury risk in Japanese college soccer players

2020 ◽  
Vol 32 (12) ◽  
pp. 850-855
Author(s):  
Takayuki Miyamori ◽  
Masashi Nagao ◽  
Yu Shimasaki ◽  
Takayuki Okazaki ◽  
Naoki Akiyoshi ◽  
...  
Keyword(s):  
Injury Risk ◽  
Reliability Assessment ◽  
Soccer Players ◽  
Functional Movement Screen ◽  
Functional Movement
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