Functional Movement ScreenTM total score does not present a gestalt measure of movement quality in youth athletes

Functional Movement Screen task scores and joint range-of-motion: a construct validity study

Little is known about the construct validity of the Functional Movement Screen (FMS). We aimed to assess associations between FMS task scores and measures of maximum joint range-of-motion (ROM) among university varsity student-athletes from 4 sports (volleyball, basketball, ice hockey, and soccer). Athletes performed FMS tasks and had their maximum ankle, hip and shoulder ROM measured. Multivariable linear regression was used to estimate associations between FMS task scores and ROM measurements. 101 university student-athletes were recruited (52 W/49 M; mean age 20.4±1.9 years). In general, athletes with higher FMS task scores had greater ROM compared to those with lower task scores. For example, athletes who scored 2 on the FMS squat task had 4° (95% CI, 1° to 7°) more uni-articular ankle dorsiflexion ROM compared with those who scored 1, while those who scored 3 on the FMS squat task had 10° (4° to 17°) more uni-articular ankle dorsiflexion ROM compared with those who scored 1. Large variation in ROM measurements was observed. In sum, substantial overlap in joint ROM between groups of athletes with different FMS task scores weakens the construct validity of the FMS as an indicator of specific joint ROM.

Assessment of Dysfunctional Movements and Asymmetries in Children and Adolescents Using the Functional Movement Screen-A Narrative Review

The Functional Movement Screen (FMS) is a screening tool that identifies dysfunctional movements in seven test items requiring an interplay of cognitive, perceptual, proprioceptive, and motor functions that involve muscular strength/endurance, flexibility, mobility, coordination, and balance. The results of the FMS include an overall composite score, scores on the individual test items, and identification of compensatory movement patterns and left-right asymmetries on 5 bilateral test items. Although there is a plethora of literature on the use of the FMS in adults, there is a growing body of evidence indicating its use in children. The available research in children involves school children and young athletes in at least 20 different sports in over 20 countries and comparisons between pre- and post-pubescent children, and normal weight, overweight, and obese children. Studies that include measures of adiposity and physical activity levels, or report prevalence of asymmetries and dysfunctional movement patterns are not well represented in the children’s literature. The purpose of this paper is to synthesize the currently available literature in children and suggest potential uses of the FMS by coaches, physical educators, and other health/fitness professionals, appropriate interpretation of results, and future research in children.

Are Early or Late Maturers Likely to Be Fitter in the General Population?

The present study aims to identify the optimal body-size/shape and maturity characteristics associated with superior fitness test performances having controlled for body-size, sex, and chronological-age differences. The sample consisted of 597 Tunisian children (396 boys and 201 girls) aged 8 to 15 years. Three sprint speeds recorded at 10, 20 and 30 m; two vertical and two horizontal jump tests; a change-of-direction and a handgrip-strength tests, were assessed during physical-education classes. Allometric modelling was used to identify the benefit of being an early or late maturer. Findings showed that being tall and light is the ideal shape to be successful at most physical fitness tests, but the height-to-weight “shape” ratio seems to be test-dependent. Having controlled for body-size/shape, sex, and chronological age, the model identified maturity-offset as an additional predictor. Boys who go earlier/younger through peak-height-velocity (PHV) outperform those who go at a later/older age. However, most of the girls’ physical-fitness tests peaked at the age at PHV and decline thereafter. Girls whose age at PHV was near the middle of the age range would appear to have an advantage compared to early or late maturers. These findings have important implications for talent scouts and coaches wishing to recruit children into their sports/athletic clubs.

FUNCTIONAL MOVEMENT SCREEN™ (FMS™) SCORES DO NOT PREDICT OVERALL OR LOWER EXTREMITY INJURY RISK IN COLLEGIATE DANCERS

Purpose

Dance is a physically demanding activity, with 50-85% of dancers suffering injury during a single performance season. The majority of dancers' injuries are in the lower extremity (LE) and chronic in nature. These injuries often arise when causal factors are not identified early and addressed before they ultimately result in an injury. Practitioners often use movement screens such as the Functional Movement Screen™ (FMS™) to detect and quantify kinetic chain dysfunction. Prior researchers have suggested that these screens can stratify at-risk individuals and allow practitioners to devise targeted interventions to reduce their injury risk. However, whether the FMS™ can identify at-risk dancers remains unclear. Thus, the purpose of this study was to examine whether FMS™ scores predicted injury risk in collegiate dancers.

Methods

In this prospective study, 43 collegiate dance majors (34 female, 9 male; 18.3 ± 0.7yrs; 163.9 ± 7.3cm; 60.8 ± 8.1kg) in a program which emphasizes modern dance were scored on the seven FMS™ movements (scale 0-3, total maximum score=21) where 3=movement completed without compensation, 2=movement completed, but with compensation(s), 1=unable to complete movement, 0=pain during movement or during clearing tests as described in prior literature at the start of the academic year. An in-house certified athletic trainer documented dancer's overall and LE injuries over an academic year (40 weeks). Separate Receiver Operator Characteristic (ROC) curve analyses examined whether composite FMS™ score predicted (1) Overall or (2) LE injury status.

Results

The subjects FMS™ scores were 16.2 + 1.7 (range=11-19). Twenty dancers were injured, whereas 23 remained injury-free. Injured dancers had 55 overall (1.28 injuries/dancer) and 44 LE injuries (1.02 LE injuries/dancer). FMS™ score did not predict overall (AUC=.28, SE=.08, p=.02, 95%CI=.13-.43) or LE injury risk (AUC=.38, SE=.1, p=.21, 95% CI=.21-.56).

Discussion

While nearly half of the dancers in this group suffered from injury over the year, composite FMS™ scores did not predict overall or LE injury risk in collegiate dancers. Dancers face unique and challenging physical demands that distinguish them from traditional sport-athletes including greater ranges of movement during performance. Thus, the FMS™ may not be sensitive enough to distinguish 'appropriate' from 'excessive' mobility and adequately identify injury risk in dancers. Overall, it is suggested that practitioners should use caution before using the FMS™ as a primary screening mechanism to identify collegiate dancers at overall or LE injury risk.

Level of Evidence

2.

Is Adiposity Associated with the Quality of Movement Patterns in the Mid-Adolescent Period?

This study examined the association between functional movement (FM) and adiposity in adolescent population (16–17 years). This study was conducted in a representative sample of urban adolescents as the part of the CRO-PALS longitudinal study (n = 652). Body mass index (BMI), a sum of four skinfolds (S4S), waist and hip circumference were measured, and FM was assessed via Functional Movement Screen^TM (FMS^TM). Furthermore, total FMS^TM screen was indicator of FM with the composite score ranged from 7 to 21, with higher score indicating better FM. Multilevel analysis was employed to determine the relationship between different predictors and total FMS score. In boys, after controlling for age, moderate-to-vigorous physical activity, and socioeconomic status, total FMS score was inversely associated only with BMI (β = −0.18, p < 0.0001), S4S (β = −0.04, p < 0.0001), waist circumference (β = −0.08, p < 0.0001), and hip circumference (β = −0.09, p < 0.0001). However, among girls, in adjusted models, total FMS score was inversely associated with S4S (β = −0.03, p < 0.0001), while BMI (β = −0.05, p = 0.23), waist circumference (β = −0.04, p = 0.06), and hip circumference: (β = −0.01, p = 0.70) failed to reach statistical significance. Results showed that the association between adiposity and FM in adolescence is sex-specific, suggesting that boys with overweight and obesity could be more prone to develop dysfunctional movement patterns. Therefore, exercise interventions directed toward correcting dysfunctional movement patterns should be sex-specific, targeting more boys with overweight and obesity rather than adolescent girls with excess weight.

Relation between Weight Status, Physical activity, Maturation, and Functional Movement in Adolescence: An Overview

Obesity, low level of physical activity and dysfunctional movement patterns presents one of the leading health issues that can contribute to increased risk for developing not only metabolic and cardiovascular disease, but also musculoskeletal problems. The aim of this paper is to summarize literature and evidence about relationship between functional movement (FM) patterns, physical activity (PA) level and weight status in average adolescent population. In addition, this paper summarized current evidence about relations between maturation effects and functional movement among athletic adolescent populations. Summary of current evidence suggests that decreased physical activity level is negatively correlated to functional movement in adolescence. Additionally, most studies suggest that weight status is negatively correlated to functional movement patterns although there is conflicting evidence in this area. Evidence consistently showed that overweight and obese adolescents exhibit poorer functional movement compared to normal weight adolescents. In addition, it appears that maturation has effects on functional movement in athletic populations of adolescents. It is therefore important that practitioners consider interventions which develop optimal functional movement alongside physical activity and weight management strategies in children, in order to reduce the risks of injuries and pathological abnormality arising from suboptimal movement patterns in later life.