Association between Functional Movement Screen Scores and Athletic Performance in Adolescents: A Systematic Review

Examining physical and technical performance among youth basketball national team development program players: a multidimensional approach

This study aimed to examine and compare the anthropometric profiles, motor skills, game-related abilities, and functional capacities of under-15 (U-15) and under-16 (U-16) male basketball players, evaluate the impact of maturity offset, and predict performance across physical and sport-specific domains. A total of 234 athletes participated in a comprehensive test battery, assessing morphological (height, mass, standing reach), physical (sprinting, agility, jump height, endurance), technical (jump shot, free throws, dribbling), and functional movement screen variables. The U-16 group outperformed U-15 players in physical characteristics and jump height. Within the U-15 group, players with advanced maturity exhibited greater body mass, height, reach, and vertical jump performance. Maturity offset was a significant predictor of linear speed and standing jump, while factors like age, height, and functional abilities contributed to broader physical performance outcomes. Only height and FMS scores were associated with sport-specific skill levels. These findings highlight that a multidimensional approach-including maturity status, anthropometric data, physical and technical skills, and functional assessments-provides essential insights for supporting athletic development in young basketball players and can inform tailored training strategies to enhance both physical and technical performance.

The Development and Content of Movement Quality Assessments in Athletic Populations: A Systematic Review and Multilevel Meta-Analysis

BACKGROUND

Despite their prominence in the sport and human movement sciences, to date, there is no systematic insight about the development and content of movement quality assessments in athletic populations. This is an important gap to address, as it could yield both practical and scientific implications related to the continued screening of movement quality in athletic contexts. Hence, this study aimed to systematically review the (i) developmental approach, (ii) movements included, (iii) scoring system utilised, and (iv) the reliability of movement competency assessments used in athletic populations.

METHODS

Electronic databases (SPORTDiscus, MEDLINE, CINAHL, Web of Science, Scopus) were searched for relevant articles up to 12 May 2023. Studies were included if they reported data about the developmental approach, movements included, scoring system utilised and reliability of assessment in an athletic population. A modified Downs and Black checklist was used to measure study quality.

RESULTS

From a total of 131 identified studies: (i) 26 (20%) described the developmental approach of an assessment; (ii) 113 (86%) included descriptions of the movements included; (iii) 106 (81%) included a description of scoring system and criteria; and (iv) 77 (59%) studies included reliability statistics. There were 36 assessments identified within these studies, comprising 59 movements in total. Each assessment scored movement quality through a Likert or binary classification system.

CONCLUSION

First, the results demonstrate that choosing an appropriate movement quality assessment in an athletic population may be a complex process for practitioners as the development approach, movements included and scoring criteria vary substantially between assessments. Second, academics could use these results to help design new assessments for novel applications that meet rigour and reliability requirements. Third, these results have the potential to foster guidelines of use for the reliable assessment of movement quality in athletic populations.

The Relationship between Functional Movement Quality and Speed, Agility, and Jump Performance in Elite Female Youth Football Players

The association between movement screening and physical fitness testing in athletes is conflicting, and therefore, this study aimed to examine the relationship between Functional Movement Screen (FMS) performance and physical performance in elite female youth football players. Twenty-two players from the national U16 team of Bosnia and Herzegovina underwent FMS and physical performance tests, including speed, agility, and jump assessments. Jump and speed performance score correlated well with ASLR, while the overall FMS score was not associated with any of the performance variables. These findings suggest that while certain movement patterns may impact athletic performance, the relationship between movement screening and physical performance is delicate. Coaches and practitioners should consider individual variations and sport-specific demands when interpreting FMS results in order to optimize and maximize athlete performance and reduce injury risks.

Using a golf specific functional movement screen to predict golf performance in collegiate golfers

Background

This study aims to examine the relationship between functional movements and golf performance using the Golf Specific Functional Movement Screen (GSFMS).

Methods

This cross-sectional study included a total of 56 collegiate golfers (aged 20.89 ± 0.99 years, height of 174.55 ± 7.76 cm, and weight 68.48 ± 9.30 kg) who met the criteria, and were recruited from Hainan Normal University in June 2022. The participants' golf motor skills (1-yard putt, 10-yard putt, 25-yard chip, 130/100-yard set shot, driver, and 9-hole stroke play) were tested and the GSFMS (e.g., pelvic tilt, pelvic rotation, and torso rotation) was used.

Results

There were significant weak or moderate correlations between the variables. Furthermore, a multiple linear regression analysis found that pelvic rotation and lower-body rotation abilities can significantly predict golf skill levels, which collectively explain 31.2% of the variance in golf skill levels among collegiate golfers (Adjusted R2 = 0.312, F = 2.663, p < 0.05). Standardised β values indicate that pelvic rotation (β = 0.398) has a more substantial impact on golf skill levels than lower-body rotation (β = 0.315).

Conclusions

This study found the weak to moderate correlations between the GSFMS and golf performance, and pelvic rotation and lower-body rotation abilities, thus predicting golf skills. Our findings provide novel insights into the relationship between functional abilities and comprehensive skill performance within the context of the Gray Cook's Movement Pyramid model, and provide theoretical support and practical reference for collegiate golf motor-skill learning and sports injury prevention.

The application of modified functional movement screen as predictor of training injury in athletes

Background

The Functional Movement Screen (FMS) is widely recognized by clinicians and trainers as a valuable tool for the prediction and prevention of training injuries in sports population. However, some studies suggested that FMS may not fully meet the needs of professional athletes. To address this, the Modified Functional Movement Screen (MFMS) has been specifically developed for athletes.

Methods

A total of 527 male athletes in active service without prior training injuries 18.5 ± 1.2 years old) underwent the MFMS test, and their training injuries were monitored during a 2-year follow-up period. The ability of the MFMS to predict the risk of training injury was evaluated based on the receiver operating characteristic (ROC) curve of the total MFMS score. Binary logistic analysis was employed to examine the correlation between the 10 MFMS tests and the risk of training injury.

Results

The injured group of athletes had significantly lower total MFMS scores compared to the healthy group (P < 0.001). The total MFMS score demonstrated a strong predictive ability for training injury risk, with an area under the ROC curve of 0.97 (P < 0.001). The calculated cut-off point was set at 22, yielding an odds ratio of 25.63, sensitivity of 0.94, and specificity of 0.88. Binary logistic regression analysis revealed a negative correlation between 6 MFMS tests and the risk of training injury.

Conclusion

The MFMS can effectively predict the risk of training injuries. Athletes with a total MFMS score below 22 are more susceptible to experiencing injuries during training.

Effects of functional training on muscle strength, jumping, and functional movement screen in wushu athletes: A systematic review

This study aims to analyse the effects of functional training on muscle strength, jumping, and functional movement screen in wushu athletes.

METHODS

This study followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A systematic search of electronic databases was also conducted, including EBSCOhost, Scopus, PubMed, Web of Science, CNKI, Google Scholar, and Wanfang. The Physiotherapy Evidence Database (PEDro) scale was an effective indicator to evaluate the quality of studies included in the systematic review.

RESULTS

This systematic review included 474 participants aged 8-24 years old. The intervention period for most studies was 12 weeks. Among the included studies, 6 focused on muscle strength, 4 on jumping performance, and 11 on functional movement screen.

CONCLUSION

These articles have been analysed, and the positive impact of functional training interventions on muscle strength, jumping, and functional movement screen of wushu athletes has been verified.

The Functional Movement Screen and Self-reported Injury in Senior Military College Cadets

INTRODUCTION

Secular trend of increasing musculoskeletal injuries (MSKIs) across all branches of the U.S. Military is a critical limiting factor in the effective and efficient process of preparing military personnel for combat. The need to evaluate functional capacity beyond current physical fitness test (PFT) standards is the key in understanding an individual's risk of noncombat-related injury. The purpose of this study is to evaluate the relationship between Functional Movement ScreenTM (FMS) scores, incidence of musculoskeletal injuries, and standardized PFT scores among freshman Cadets during their first 10 weeks of enrollment at a senior military college.

MATERIALS AND METHODS

Eighty-two participants (72 male and 10 female participants; mage: 18.2 years) completed the FMS, an institution-specific PFT (2-min maximum pushups, 2-min maximum abdominal crunches, and 1.5 mile timed run), and an Incidence of Injury and Incidence of Pain Questionnaire. Independent t-tests, Spearman's rank correlation coefficients logistic regression analysis, and Receiver Operator Curves were performed to evaluate relationships between the study variables.

RESULTS

FMS composite and PFT sex-normed total scores were higher in females (16.4, 236.1) than in males (15.0, 204.9). Ninety percent of all females reported injury or pain during the 10-week survey period compared to 48% of males.

CONCLUSIONS

No significant difference between FMS scores and injury and pain was found within both sex groups. Therefore, use of the composite FMS score as an indicator for risk of injury or to predetermine PFT performance is not recommended for this study's population. The rate of incidence of injury or pain in Cadets during a 10-week enrolment period is high. Females outperformed males in the FMS and PFT and reported higher rates of injury and pain. The utility of the FMS may be limited when substantially scaled for implementation across entire military populations. Future research should evaluate performance associations of the FMS with Army Combat Fitness Test components in a population of equally distributed sex and race.

Association between physical activity and functional movement screening among university students in an adaptive physical course

BACKGROUND

Physical activity (PA) holds profound implications for the holistic development of college students. However, students with chronic diseases or physical disabilities experience significantly limited PA during adaptive sports.

OBJECTIVE

This study aims to investigate the relationship between physical activity and Functional Movement Screening (FMS) among university students who participate in the adaptive physical course.

METHODS

36 university students (from the adaptive physical course) completed the International Physical Activity Questionnaire-Long Form (IPAQ-L). Body measurements and FMS were assessed. Correlation analysis and t-tests were used to determine relationships and differences between various indicators. A two-way analysis of variance was used to investigate potential variations in FMS scores based on gender and weight status.

RESULTS

The results show that gender, PA, and BMI significantly influence FMS scores in students participating in adaptive physical courses. FMS score is significantly negatively correlated with BMI and significantly positively correlated with PA. The FMS score for males, as well as the scores for Trunk Stability Push-Up and Rotary Stability, are significantly higher than those for females.

CONCLUSION

University students in adaptive physical courses can benefit from increased PA and FMS scores. Improving functional movement and enhancing physical activity are crucial for promoting overall health in this population.

Differences and relationship in functional movement screen (FMS™) scores and physical fitness in males and female semi-professional soccer players

Background

Soccer is the world's most popular sport for both men and women. Tests of athletic and functional performance are commonly used to assess physical ability and set performance goals. The Functional Movement Screen (FMS™) is a widely used seven-test battery developed by practitioners to provide interpretable measure of movement quality. The main objective of the present study was twofold, to analyze the relationship between FMS™ results from male and female soccer players and to compare their physical performance in different tests.

Methods

A total of twenty-eight semi-professional soccer players: fourteen male (age: 21.29 ± 1.64 years; weight: 70.66 ± 5.29 kg; height: 171.86 ± 5.35 cm; BMI: 20.90 ± 2.22 kg/m2) and fourteen females (age: 20.64 ± 1.98 years; weight: 63.44 ± 5.83 kg; height: 166.21 ± 12.18 cm; BMI: 23.02 ± 2.50 kg/m2) were recruited for this study. A paired sample t-test was used for determining differences as a repeated measures analysis. All the participants conducted the following tests: The Functional Movement Test (FMS™), 10-m linear sprint, 5-0-5 COD Test and Yo-Yo Intermittent Recovery Test-Level 1 (YYIRT Level 1).

Results

A t-test with data from 505 COD (change of direction) test showed significant differences between groups, p = 0.001, d = 1.11, revealing faster times in male soccer players (2.50 ± 0.19) in respect with female soccer players (2.70 ± 0.17). Crucially, a t-test with data from FMS did not reveal significant differences between groups. Multiple regression for V02max revealed significant effects (r = 0.55, r2 = 0.30, adjusted r2 = 0.24, F = 5.21, p = 0.04 and standard error = 2.20). On the other hand, multiple regression for 10-m sprint showed significant effects (r = 0.58, r2 = 0.33, adjusted r2 = 0.28, F = 5.98, p = 0.03). The impact of these factors on the correlation between FMS™ scores and physical performance measures can vary among individuals.

Discussion/Conclusion

This study demonstrates the necessity of utilizing and applying multiple field-based tests to evaluate the movement and capabilities of physical performance in sports. Crucially, consider individual variations and factors such as training background, fitness level, and sport-specific demands when interpreting the relationship between the FMS™ and physical performance in both sexes.

The functional movement screen predicts sports injuries in Chinese college students at different levels of physical activity and sports performance

Background

Functional Movement Screen (FMS) is used to evaluate the movement quality of an individual. However, the FMS composite score used to predict sports injuries is currently ambiguous. Further refinement of the FMS scoring method may be required to more accurately predict sports injuries.

Objectives

To investigate whether FMS scores could accurately predict sports injuries in college students with different levels of physical activity (PA) and sports performance (SP).

Methods

One hundred eighty-seven college students aged 18 to 22 were prospectively screened by the FMS test and grouped by the levels of PA and SP. Sports injury occurrences were monitored and collected 12 months later. Spearman's rank coefficients and binary logistic regression were used to identify the risk factors for sports injuries. The receiver operating characteristic (ROC) curve and the total area under the curve (AUC) value were used to determine the optimal FMS cut-off point for sports injuries.

Results

The FMS composite score (sum of the seven FMS tests) exhibited a fair association with sports injuries (r = -0.434, P < 0.001). Those with an FMS cut-off point of 17.5 were more likely to acquire sports injuries. The AUC value of the ROC curves was 0.764 (95% CI: 0.618-0.909) in the low PA students, 0.781 (95% CI: 0.729-0.936) in the moderate PA students, and 0.721 (95% CI: 0.613-0.879) in the high PA students. Furthermore, students stratified by SP level showed an AUC value of 0.730 (95% CI 0.607-0.853) in the low SP group and 0.778 (95% CI 0.662-0.894) in the moderate SP group, while it declined to 0.705 (95% CI 0.511-0.800) in the high SP group. The FMS cut-off score successfully identified individuals who reported sports injuries at a higher rate in the low (PA, 84.62%; SP, 90.48%) and moderate (PA, 93.75%; SP, 77.78%) groups than in the high groups (PA, 65.52%; SP, 57.89%).

Conclusions

The FMS composite score could be used to predict sports injuries in college students with an FMS cut-off value of 17.5. Population stratification by the levels of PA and SP seems to influence the predictive accuracy of the FMS.