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International Journal of Sports Physical Therapy logoLink to International Journal of Sports Physical Therapy
. 2019 Jun;14(3):436–444. doi: 10.26603/ijspt20190436

FUNCTIONAL MOVEMENT SCREEN™ in YOUTH SPORT PARTICIPANTS: EVALUATING the PROFICIENCY BARRIER for INJURY

Craig E Pfeifer 1,, Ryan S Sacko 2, Andrew Ortaglia 3, Eva V Monsma 3, Paul F Beattie 2, Justin Goins 3, David F Stodden 3
PMCID: PMC6816300  PMID: 31681502

Abstract

Background & Purpose

The number of youth participating in sport increases yearly; however, the evaluation of youths’ movement ability and preparedness for sport remains inadequate or neglected. The Functional Movement Screen (FMS™) is an assessment of an individual's movement quality that has been utilized to evaluate risk of injury in collegiate and professional sport; however, there is minimal support regarding the predictive value of the screen in youth sport. The purpose of this study was to evaluate the mean and distribution of FMS™ performance in sport participants age 11-18, and to evaluate the existence of a composite FMS™ score proficiency barrier to predict injury risk.

Study Design

Prospective cohort study.

Methods

One hundred, thirty-six participants (63 male, 73 female) age 11 to 18 years (16.01 + 1.35) were recruited from local schools and sport organizations. The FMS™ was administered prior to each participant's competitive season and scored by researchers who demonstrated reliability in assessments derived from the screen (κw = 0.70 to 1). Injury data were collected by the participants’ Athletic Trainer over one season. An injury was defined as any physical insult or harm resulting from sports participation that required an evaluation from a health professional with time modified or time lost from sport participation.

Results

Females scored significantly higher than males for mean FMS™ composite score (t = 14.40; m = 12.62; p < 0.001), and on individual measures including: the hurdle step (t = 1.91; m = 1.65; p < 0.001), shoulder mobility (t = 2.68; m = 2.02; p < 0.001), active straight leg raise (t = 2.32; m = 1.87; p < 0.001), and the rotary stability components (t = 1.91; m = 1.65; p < 0.05). Two FMS™ composite scores (score < 14 and <15) significantly increased the odds of injury (OR = 2.955). When adjusting for sport, there was no score relating to increased odds of injury.

Conclusion

Dysfunctional movement as identified by the FMS™ may be related to increased odds of injury during the competitive season in youth athletes. Consideration of an individual's movement within the context of their sport is necessary, as each sport and individual have unique characteristics. Addressing movement dysfunction may aid in injury reduction and potentially improve sport performance.

Level of Evidence

1b.

Keywords: Functional movement screen, injury prevention, movement system, movement quality, youth sport

INTRODUCTION

Sport provides opportunities for millions of youth to be active and healthy,1 though musculoskeletal injury remains a potential hazard to many participants.2,3 While pre-participation and physical screenings evaluate an individual's general health status, these assessments do not determine preparedness for sport's intense physical demands, and often do not include an evaluation of functional motor competence (i.e. one's ability to coordinate and control movement to attain a goal). Evaluations of functional motor competence aid in determining an individual's functional and physical capacity, as well as injury potential.410 The Functional Movement Screen (FMS™) is a screen of functional motor competence that evaluates qualitative movement coordination patterns and may be able to identify individuals who may be at risk for injury.4 The FMS™ consists of the following seven tasks: overhead deep squat, hurdle step, inline lunge, shoulder mobility, active straight leg raise, trunk stability pushup, and rotary stability. Each task is scored from 0 to 3, 0 indicating pain with movement and 3 indicating optimal function in that task. Summing each task score yields the FMS™ composite score (maximum 21). This assessment has been utilized in collegiate and professional sports to predict injury risk and shows promise to address the same issue for youth sport.4,1118 The ability to evaluate the risk for injury based on an individual's functional motor competence and address potential movement limitations prior to participation may be critical to alleviating injury prevalence.

FMS™ and Youth Sport

Although the FMS™ was developed for use in high school athletes, initial research addressed athletes in collegiate and professional sports.4,11,13,19 For example, two studies found collegiate athletes composite FMS™ scores ranging from 12.53 to 16.07.13,19 In general, FMS™ data on youth (high school, 18 & under) demonstrates a range of composite FMS™ score means from 12.1 to 16.44.18,2024 Bardenett et al.18 assessed high school sport participants and noted their mean composite FMS™ score 13-13.1.18 In response to these low scores, the authors called for further evaluation in youth sport.18 Overall, there are limited data on FMS™ scores in youth sport.

FMS™ and Risk of Injury

In order to determine an individual's risk of injury based on the FMS™, there needs to be a composite FMS™ score that is predictive of future injury. In 1980, Seefeldt proposed the idea of a movement skill “proficiency barrier”,25 which may be viewed as a threshold, above which an individual will be able to successfully transition movement skills into more complex movements (e.g., sport skills). The application of a proficiency barrier for injury risk has also been explored with the FMS™ assessment in adults in sport (collegiate and professional). Data from multiple studies has demonstrated that FMS™ levels have been able to predict injury and these data have identified a potential proficiency barrier level.11,13,15,18,19

The proficiency barrier determined from multiple studies has been a composite FMS™ score ≤ 14.11,13,15,18,19 This composite score was initially established using the data from professional American football players,11 and has been used in subsequent studies.13,15,18,19 Examining the predictive utility of this score in youth sport is important as it may establish the need to address movement deficiencies at a young age, when youth are still physically maturing and have a greater adaptational window for skill development. Thus, using the FMS™ screening to help alleviate future injury potential may be of greater significance if injury risk can be identified in youth sport. Unfortunately, with the varying definitions of injury throughout youth studies (e.g. excluding contact injury), it is difficult to determine if this score is applicable in youth sport.18,21,23 In the adult sport setting, a composite FMS™ score of 14 or below increased the odds of injury (3.85 to 11.67) compared to those scoring above 14.11,13,15,19 In collegiate sport, this composite FMS™ score has been strongly correlated with overall injury incidence (r = 0.761) and lower extremity injury (r = 0.952 without the shoulder score).13

While literature on FMS™ and injury in youth is increasing, current studies do not show evidence of a proficiency barrier relating to injury in youth sport.11,13,15,18,19 The previously established proficiency barrier for a FMS™ composite score of < 14 was not significantly associated with an increased risk of injury in youth (ages 8 to 21 years) who participated in multiple sports.18,21,23,26 A limitation of these studies is that the majority of studies evaluating this proficiency barrier were only evaluating one specific sport or position, with large age ranges.21,23,26 Furthermore, the one study evaluating a potential barrier across multiple sports had a low injury rate, as they only included injuries which were musculoskeletal in nature.18 This is important as other types of injuries (i.e. neurological, concussions, etc.) may have an etiology related to an individual's functional motor competence, specifically as it relates to developing athletes with a limited training background (i.e. falling on the playing surface).27 Thus, studying the FMS™ across multiple youth sports, with an inclusive injury definition, may identify individuals at risk for future injury based on their functional motor competence.11,19,21,23 The purposes of this study were to a) describe normative data on FMS™ performance in sport participants age 11-18 and b) evaluate if there was a composite FMS™ score proficiency barrier that was predictive of increased odds of injury in this sample.

METHODS

Participants and procedures

A prospective cohort observational design was utilized. A total of 136 participants (63 male, 73 female) age 11-18 (16.01 ± 1.35) years were recruited from local high schools (public and private) and local sport organizations. Exclusion criteria included: participants with a musculoskeletal injury within the past six months that limited participation or movement capability at the time of testing, or did not have current medical clearance for participation in sport. Individuals completed informed consent and were required to have parental consent before participating. Data were collected prior to the beginning of the individual's respective sport competitive season (fall sport August – September; spring sport January – February). The FMS™ was administered during data collection sessions at each sports setting prior to the competitive season, and injury information was received at the end of each sports respective season.

Measures

The FMS™ consists of seven tasks that are tested in the following order: overhead deep squat, hurdle step, inline lunge, shoulder mobility, active straight leg raise, trunk stability pushup, and rotary stability. All tasks are completed bilaterally except for the overhead deep squat and the trunk stability push up. Participants were given standardized verbal instruction (per the FMS™ manual).4 Each task of the FMS™ is ranked on a scale of 0 to 3 relating to an individual's capability to perform each suggested movement.28,29 Participants who experienced pain during any portion of the FMS™ or during clearing tasks associated with three skills (shoulder mobility, trunk stability pushup, rotary stability) received a score of ‘0’ for the task they were performing. Tasks which are completed bilaterally were scored per side, then received the lower of the two scores as the final score for that task. The final scores of each task were summed for a composite score with a maximum of 21 points. Participants were videotaped or live coded (dependent upon time of enrollment) performing a maximum of three trials of each FMS™ task. If participants met the criteria for a “3” prior to completion of all trials of one task, we moved to the next task as further screening is not needed.4 The FMS™ was coded by individuals trained in the assessment. Inter/intra-rater coding reliability was established prior to the study and was adequate for all raters for both video (κw = 0.73 to 1) and live coding (κw = 0.70 to 1).30

A Certified Athletic Trainer employed by each site tracked participant injuries using their preferred tracking software. Injury was defined as any physical insult or harm resulting from sports participation that required an evaluation from a health professional and time modified or time lost from sport participation.13,19,21,31 Due to inconsistencies in the definition of injury in the literature, this definition of injury was utilized to unify the definitions in the literature.15,18,19,21,23 Individuals who sustained injury from any source outside of the school sport in which they were participating were excluded from injury analyses. Both contact and non-contact injuries were collected. Injury data were collected data on all participants at the end of their respective sport seasons, with six participants injury data lost to follow up.

Statistical analysis

An a priori power analysis was performed, determining that a sample of 129 was needed to achieve adequate power (1-ß = 0.80). An alpha < 0.05 was used to determine significance. Data was double entered and checked for consistency prior to analysis. Independent t-tests were performed to detect differences in male and female height, mass, age, and FMS™ performance. The probability of sustaining injury was modeled as a function of composite FMS™ score via logistic regression.11,18 Additional, logistic regression analyses were used to assess if there was a certain composite FMS™ value which was associated with an increased odds of injury after controlling for sport participation.

RESULTS

Descriptive statistics (means and standard deviations) for participants (height, mass, age) are shown in Table 1, and FMS™ performance is shown in Table 2. The ethnic breakdown of the sample was: 81.6% white, 16.2% black, and 2.2% other. Participants were recruited based on study site, and individuals in the sample participated in football (40 male), soccer (23 male; 39 female), volleyball (18 female), lacrosse (10 female), and other (6 female).

Table 1.

Descriptive Statistics.

Sex n Mean Std. Dev p value
Height (cm) Male 63 173.72 7.47 0.00*
Female 73 163.12 6.56
Mass (Kg) Male 63 73.93 16.72 0.00*
Female 70 57.38 11.61
Age Male 61 15.87 1.44 0.37
Female 68 15.65 1.26
*

p < 0.001 for differences between males and females

Table 2.

Functional Movement Screen™ Scores.

Sex n Mean Mode Std. Dev Min Max p value
Deep Squat Male 63 1.70 2 0.56 1 3 0.35
Female 65 1.80 2 0.67 1 3
Hurdle Step Male 63 1.65 2 0.54 1 3 0.00**
Female 65 1.91 2 0.42 1 3
Inline Lunge Male 62 2.13 2 0.66 1 3 0.07
Female 65 2.32 2 0.53 1 3
Shoulder Mobility Male 62 2.02 3 1.00 0 3 0.00**
Female 65 2.68 3 0.62 1 3
Active Straight Leg Raise Male 63 1.87 2 0.61 1 3 0.00**
Female 65 2.32 3 0.75 1 3
Trunk Stability Pushup Male 63 1.60 2 0.77 0 3 0.29
Female 65 1.46 1 0.73 1 3
Rotary Stability Male 63 1.65 2 0.60 0 3 0.01*
Female 65 1.91 2 0.38 1 3
Composite FMS™ Male 61 12.62 14 3.06 6 18 0.00**
Female 65 14.40 15 1.88 9 18

*p < 0.05; **p < 0.001 for differences between males and females

There were significant differences between the sexes for height and mass, with males having greater mass (t = 6.56, p < 0.001) and height (t = 8.810, p < 0.001; Table 1). Youth sport participants demonstrated a mean composite FMS™ score of 13.54 ± 2.66. The distribution of sport participants FMS™ scores are presented in Tables 2 and 3.

Table 3.

FMS™ Composite Score by Sport.

Sport n Composite FMSMean Std. Dev
Football 38 12.37 3.08
Male Soccer 23 13.04 3.04
Female Soccer 38 14.18 1.92
Female Lacrosse 9 13.44 1.88
Female Volleyball 15 15.27 1.49
Female Other 3 15.67 1.53

There were two composite FMS™ scores significantly related to increased odds of injury (composite FMS™ < 14, and <15) without addressing sport (Table 4). A composite FMS™ score of ≤ 14 or ≤ 15 was associated with an increased risk of sustaining injury (OR = 2.99). As 74% of injuries occurred in football, no significant differences were observed after adjusting for the sport being played. A breakdown of injury by sex and sport is shown in Table 5.

Table 4.

Proficiency Barrier Analysis of Composite FMS™ Score Predicting Injury.

Not adjusted for sport Adjusting for sport
OR LCL UCL p-value OR LCL UCL p-value
Composite ≤13 1.553 0.687 3.511 0.2905 0.97 0.313 3.005 0.9577
Composite ≤14 2.955 1.249 6.986 0.0136* 2.066 0.676 6.316 0.203
Composite ≤15 2.955 1.249 6.986 0.0136* 2.066 0.676 6.316 0.203
Composite ≤16 2.452 0.852 7.063 0.0965 1.337 0.345 5.181 0.6748
Composite ≤17 2.826 0.595 13.422 0.1912 3.541 0.491 25.514 0.2095

OR = odds ratio; LCL = lower confidence limit; UCL = upper confidence limit*P < 0.05

Table 5.

Sample Injury Breakdown.

Male Female
Football Injured 32 -
Not injured 8 -
Soccer Injured 4 4
Not injured 19 35
Volleyball Injured - 0
Not injured - 16
Lacrosse Injured - 2
Not injured - 8
Other Injured - 1
Not injured - 1

*6 participant's injury data were not reported

DISCUSSION

The first purpose of this study was to provide normative data for FMS™ scores in youth sport. Youth sport participants tested at the beginning of their sport season demonstrated a mean composite FMS™ score of 13.54 ± 2.66, which is similar to other studies examining youth sport that demonstrated a range of composite FMS™ scores ranging from 12.1 to 16.44.18,2124,26 Males from the sample demonstrated a FMS™ composite mean of 12.26, while the females demonstrated a FMS™ composite mean 14.4.

In a previous study, normative findings in youth (males and females, age 10 to 17) demonstrated that males outperformed females regarding the composite FMS™ score;20 however, the results indicate that females significantly outperformed males (t = −3903, p < 0.001; Table 2). Individual task scores from the general population normative youth data from India demonstrated that males outperformed females on the inline lunge, trunk stability pushup, and the rotary stability tasks.20 Data from the sample demonstrate that females outperformed their male counterparts on tasks relating to their active range of motion (active straight leg raise, shoulder mobility) and core and lower extremity coordination and control (hurdle step, rotary stability). Previous studies on sex differences in more general functional motor competence assessments also reveal conflicting results with reports of higher scores for males,32 females,33 or no differences between the sexes.3335 The specific differences in FMS™ in the current data set may be due to the differences between males and females joint range of motion (ROM) which has been previously identified in the literature.36,37 Unfortunately, specific joint ROM was not assessed in this study. Alternatively, the equivocal findings in the literature may be a function of the sport composition represented in the data set. There was a higher proportion of football players in this male sample, with only eight uninjured. However, compared to the normative composite FMS™ values of youth (general population), the male football players demonstrated lower composite scores than the established youth male mean (male mean = 14.93, male football mean = 12.37).20 In addition to being taller and heavier, the males may have been closer to experiencing peak height velocity (i.e. maturation) than females, which may influence flexibility and coordination as growth in long bones precedes development of tendons and ligaments.3841 Corroborating this idea, females out performed males on three of the four skills that involve measuring the length of the involved limb (i.e., hurdle step, shoulder mobility, leg raise). Subsequent studies should account for previous injury and perhaps maturational timing to account for other potential factors related to injury risk.

Overall, the composite FMS™ scores from youth sport participants represent an individual score of ‘2’ per task. Thus, it is clear these youth participants demonstrate compensated movement patterns as evaluated by the FMS™. Improved functional motor competence may have a protective effect on future injury incidence because motor competence is associated with multiple aspects of physical fitness (e.g., muscular strength, power, endurance and cardiovascular endurance) in youth,5,42,43 which is linked to injury risk.10 As FMS™ scores demonstrated by youth sport participants had a similar range to collegiate/adult FMS™, these data speak to the fact that global functional motor competence is developed early in life and may not necessarily improve across age or with sport participation. Furthermore, sport practice early in youth may place too great an emphasis on sport-specific skills (i.e. tactics, game play) and de-emphasize the learning, retention, and growth in foundational and functional movement.44 Thus, promoting functional motor competence in children before they transition into high-level youth sport is warranted as childhood and early adolescence is a critical time where foundational and functional skill should be developed. Longitudinal testing also would be important to provide stronger evidence relating to changes, or lack thereof, in functional motor competence. As long term declines in functional motor competence have been noted in recent literature,45 these data provide additional evidence for the importance of learning how to move effectively in childhood, as functional movement is important for performance as well as providing a potentially protective effect against injury.

FMS™ and Injury

The second purpose of this study was to evaluate if there would be a proficiency barrier of a composite FMS™ score, which would be related to increased odds of injury. We evaluated odds of injury across different composite FMS™ scores and found that individuals scoring below 15 had a higher risk of injury (Table 4). When controlling for injury by sport most individuals who sustained injury were males participating in football (74%). Even with the high proportion of injuries in football, our injury rate was comparable to another study evaluating youth (case rate/100 players = 31.6; Powell & Barber-Foss, mean = 26).46 These injury data may be related to not only to the participants inherent functional movement issues, evidenced by football players demonstrating the lowest mean composite FMS™ scores (composite FMS™ = 12.37), but also to the nature of the sport; specifically with regard to the frequency of direct collisions that occur during football and the necessary coordination and control to effectively maneuver their body during and after collisions. Previous literature shows the composite FMS™ score may be useful for evaluating injury potential in adults;11,15,19 however, this study reaffirms previous research in youth sport that demonstrates there may not be an appropriate proficiency barrier in youth.18,23,26 This finding is consistent with Cook et al., who present the position that the FMS™ alone may not adequate for the prediction of injury, and that the screen should be supplemented with other measures of sport readiness (i.e. power, endurance, etc.).28,29

There are limitations that should be addressed. The intent was not to evaluate FMS™ and injury within each sport; therefore, this study was not powered to adequately address a proficiency barrier by sport. The inclusions of few male sports were due to team availability at each site. The authors acknowledge missing data within this sample due to participant and site access, and loss to follow up. Attempts were made to collect missing data; however, protocol did not allow for collection for participants in-season. Additionally, ascertaining mechanisms of injury in future research may be useful in evaluating the effect that movement versus incidental contact may have with injury. As participants in this study may be at varying levels of maturation, the authors recognize that the physiologic processes unique to each individual at their stage of maturation may affect their movement ability or risk of injury.

This study may provide a reference point for FMS™ scores in youth sport participants. These data, along with other FMS™ data across youth and into adulthood also suggest that functional motor competence is developed in childhood, as composite FMS™ data is similar across from childhood into early adulthood (i.e., ages 8-21 years).18,2124,26 These data also demonstrate that dysfunctional movement coordination and control is present in many youth, which ultimately may manifest as injury over time (i.e., adulthood). Thus, while using the FMS™ as an acute predictor of injury may not be appropriate in youth, it may be predictive later in an individual's sport career if their functional movement capabilities do not change.

CONCLUSION

Dysfunctional movement as identified by the FMS™ may be related to increased odds of injury in youth athletes during the competitive season. Injury may develop acutely or chronically; however, an individual's functional motor competence within the context of their sport should be considered as each individual and sport has unique characteristics such as anatomical structure and level of contact. Addressing movement dysfunction in youth may aid in reduction of injury and potentially improve sport performance. However, in youth sport, the immediate utility of the FMS™ may be more applicable for the clinical identification of dysfunctional movement rather than its capability to independently predict injury.

REFERENCES

  • 1.Pate RR Trost SG Levin S Dowda M. Sports participation and health related behaviors among US youth. Arch Pediatr Adolesc Med. 2000;154(9):904-911. [DOI] [PubMed] [Google Scholar]
  • 2.Comstock RD Currie DW Pierpoint LA. Summary Report National High School injury surveillance study: 2013-2014 School year. http://www.ucdenver.edu/academics/colleges/PublicHealth/research/ResearchProjects/piper/projects/RIO/Documents/Original%20Report_%202014_15.pdf. Accessed on July 24, 2018.
  • 3.Myer GD Faigenbaum AD Ford KR Best TM Bergeron MF Hewett TE. When to initiate integrative neuromuscular training to reduce sports-related injuries and enhance health in youth? Curr Sports Med Rep. 2011;10(3):155-166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Cook G Burton L Kiesel K Rose G Bryant MF. Movement: Functional movement systems: Screening, assessment, corrective strategies. Santa Cruz, CA: On Target Publications; 2010. [Google Scholar]
  • 5.Cattuzzo MT Dos Santos Henrique R Re AH, et al. Motor competence and health related physical fitness in youth: A systematic review. J Sci Med Sport. 2014;19(2):123-129. [DOI] [PubMed] [Google Scholar]
  • 6.Pfeifer CE Stodden D Moore E. Associations among functional motor competence, health-related fitness, & injury prevalence in youth sport: a pilot study. Paper presented at National Strength and Conditioning Association National Conference; 2016; New Orleans, LA.
  • 7.Robinson LE Stodden DF Barnett LM, et al. Motor competence and its effect on positive developmental trajectories of health. Sports Med. 2015;45(9):1273-1284. [DOI] [PubMed] [Google Scholar]
  • 8.Stodden DF Goodway JD Langendorfer SJ, et al. A developmental perspective on the role of motor skill competence in physical activity: An emergent relationship. Quest. 2008;60(2):290-306. [Google Scholar]
  • 9.Stodden DF True LK Langendorfer SJ Gao Z. Associations among selected motor skills and health-related fitness: indirect evidence for Seefeldt's proficiency barrier in young adults? Res Q Exerc Sport. 2013;84(3):397-403. [DOI] [PubMed] [Google Scholar]
  • 10.Larsen LR Kristensen PL Junge T, Møller SF Juul-Kristensen B Wedderkopp N. Motor performance as risk factor for lower extremity injuries in children. Med Sci Sports Exerc. 2016;48(6):1136-1143. [DOI] [PubMed] [Google Scholar]
  • 11.Kiesel KB Plisky PJ Voight ML. Can serious injury in professional football be predicted by a preseason functional movement screen. N Am J Sports Phys Ther. 2007;2(3):147-158. [PMC free article] [PubMed] [Google Scholar]
  • 12.Bonazza NA Smuin D Onks CA Silvis ML Dhawan A. Reliability, validity, and injury predictive value of the functional movement screen a systematic review and meta-analysis. Am J Sports Med. 2017;45(3):725-732. [DOI] [PubMed] [Google Scholar]
  • 13.Chorba RS Chorba DJ Bouillon LE Overmyer CO Landis JA. Use of a functional movement screening tool to determine injury risk in female collegiate athletes. N Am J Sports Phys Ther. 2010;5(2):47-54. [PMC free article] [PubMed] [Google Scholar]
  • 14.Dorrel BS Long T Shaffer S Myer GD. Evaluation of the functional movement screen as an injury prediction tool among active adult populations: A systematic review and meta-analysis. Sports Health. 2015;7(6):532-537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Letafatkar A Hadadnezhad M Shojaedin S Mohamadi E. Relationship between functional movement screening score and history of injury. Int J Sports Phys Ther. 2014;9(1):21-27. [PMC free article] [PubMed] [Google Scholar]
  • 16.Loudon JK Perkerson-Mitchell AJ Hildebrand LD Teague C. Functional movement screen scores in a group of running athletes. J Strength Cond Res. 2015;28(4):909-913. [DOI] [PubMed] [Google Scholar]
  • 17.Padilla R. Predicting injuries in NCAA runners using the Functional Movement Screen (FMS). California State University, Fullerton: ProQuest Dissertations Publishing; 2014. https://search.proquest.com/openview/6f46067ebec7c17f96bafa9ee3b31b9b/1?cbl=18750&diss=y&pq-origsite=gscholar. Accessed July 24, 2018
  • 18.Bardenett SM Micca JJ DeNoyelles JT Miller SD Jenk DT Brooks GS. Functional movement screen normative values and validity in high school athletes: Can the FMS be used as a predictor of injury? Int J Sports Phys Ther. 2015;10(3):303-308. [PMC free article] [PubMed] [Google Scholar]
  • 19.Garrison M Westrick R Johnson MR Benenson J. Association between the functional movement screen and injury development in college athletes. Int J Sports Phys Ther. 2015;10(1):21-28. [PMC free article] [PubMed] [Google Scholar]
  • 20.Abraham A Sannasi R Rohit N. Normative values for the functional movement screen in adolescent school aged children. Int J Sports Phys Ther. 2015;10(1):29-36. [PMC free article] [PubMed] [Google Scholar]
  • 21.Rusling C Edwards K Bhattacharya A, et al. The functional movement screening tool does not predict injury in football. Prog Orthop Sci. 2015;1(2):1. [Google Scholar]
  • 22.Rettig J Lisman P Hildebrand E, et al. Functional movement screen scores in high school football players. Int J Exerc Sci: Conference Proceedings. 2016;9(4):86. [Google Scholar]
  • 23.Sorenson EA. Functional movement screen as a predictor of injury in high school basketball athletes. University of Oregon; 2009. [Google Scholar]
  • 24.Bird SP Barrington-Higgs B Hendarsin F. Relationship between functional movement screening and physical fitness characteristics in Indonesian youth combat sport athletes. 4th Exercise and Sports Science Australia Conference; 2010; 9-11.
  • 25.Seefeldt V Nadeau C. Developmental motor patterns: Implications for elementary school physical education. Psych Motor Behav Sport. 1980;36(6):314-323. [Google Scholar]
  • 26.Martin C Olivier B Benjamin N. The functional movement screen in the prediction of injury in adolescent cricket pace bowlers: an observational study. J Sport Rehabil. 2017;26(5):386-395. [DOI] [PubMed] [Google Scholar]
  • 27.Bazarian JJ Wong T Harris M Leahey N Mookerjee S Dombovy M. Epidemiology and predictors of post-concussive syndrome after minor head injury in an emergency population. Brain injury. 1999;13(3):173-189. [DOI] [PubMed] [Google Scholar]
  • 28.Cook G Burton L Hoogenboom BJ Voight M. Functional Movement Screening: The use of fundamental movements as an assessment of function - Part 1. Int J Sports Phys Ther. 2014;9(3):396-406. [PMC free article] [PubMed] [Google Scholar]
  • 29.Cook G Burton L Hoogenboom BJ Voight M. Functional Movement Screening: The use of fundamental movements as an assessment of function - Part 2. Int J Sports Phys Ther. 2014;9(4):549-563. [PMC free article] [PubMed] [Google Scholar]
  • 30.Minick KI Kiesel KB Burton L Taylor A Plisky P Butler RJ. Interrater reliability of the functional movement screen. J Strength Cond Res. 2010;24(2):479-486. [DOI] [PubMed] [Google Scholar]
  • 31.Twitchett E Broderick A Nevill AM Koutedakis Y Angioi M Wyon M. Does physical fitness affect injury occurrence and time loss due to injury in elite vocational ballet students? J Dance Med Sci. 2010;14(1):26-31. [PubMed] [Google Scholar]
  • 32.Haubenstricker J Wisner D Seefeldt V Branta C. Gender differences and mixed-longitudinal norms on selected motor skills for children and youth. J Sport Exerc Psychol. 1997;19:S63. [Google Scholar]
  • 33.van Beurden E Barnett LM Zask A Dietrich UC Brooks LO Beard J. Can we skill and activate children through primary school physical education lessons?“Move it Groove it”—a collaborative health promotion intervention. Prevent Med. 2003;36(4):493-501. [DOI] [PubMed] [Google Scholar]
  • 34.Hume C Okely A Bagley S, et al. Does weight status influence associations between children's fundamental movement skills and physical activity? Res Q Exerc Sport. 2008;79(2):158-165. [DOI] [PubMed] [Google Scholar]
  • 35.Goodway JD Crowe H Ward P. Effects of motor skill instruction on fundamental motor skill development. Adapt Phys Activ Q. 2003;20(3):298-314. [Google Scholar]
  • 36.Bell R Hoshizaki T. Relationships of age and sex with range of motion of seventeen joint actions in humans. Can J Appl Sport Sci. 1981;6(4):202-206. [PubMed] [Google Scholar]
  • 37.Reese NB Bandy WD. Joint range of motion and muscle length testing. Amsterdam, Netherlands: Elsevier Health Sciences; 2016. [Google Scholar]
  • 38.Malina RM Bouchard C Bar-Or O. Growth, maturation, and physical activity. Champaign, IL: Human Kinetics; 2004. [Google Scholar]
  • 39.Malina RM Kozieł SM. Validation of maturity offset in a longitudinal sample of Polish girls. J Sports Sci. 2014;32(14):1374-1382. [DOI] [PubMed] [Google Scholar]
  • 40.Malina RM Kozieł SM. Validation of maturity offset in a longitudinal sample of Polish boys. J Sports Sci. 2014;32(5):424-437. [DOI] [PubMed] [Google Scholar]
  • 41.Malina RM Rogol AD Cumming SP, Coelho e Silva MJ Figueiredo AJ. Biological maturation of youth athletes: assessment and implications. Br J Sports Med. 2015;49(13):852-859. [DOI] [PubMed] [Google Scholar]
  • 42.Stodden DF Gao Z Goodway JD Langendorfer SJ. Dynamic relationships between motor skill competence and health-related fitness in youth. Pediatr Exerc Sci. 2014;26(3):231-241. [DOI] [PubMed] [Google Scholar]
  • 43.Lima RA Pfeiffer KA Bugge A Møller NC Andersen LB Stodden DF. Motor competence and cardiorespiratory fitness have greater influence on body fatness than physical activity across time. Scand J Med Sci Sports. 2017;27(12):1638-1647. [DOI] [PubMed] [Google Scholar]
  • 44.Lloyd RS Cronin JB Faigenbaum AD, et al. National strength and conditioning association position statement on long-term athletic development. J Strength Cond Res. 2016;30(6):1491-1509. [DOI] [PubMed] [Google Scholar]
  • 45.Roth K Ruf K Obinger M, et al. Is there a secular decline in motor skills in preschool children? Scand J Med Sci Sports. 2010;20(4):670-678. [DOI] [PubMed] [Google Scholar]
  • 46.Powell JW Barber-Foss KD. Injury patterns in selected high school sports: a review of the 1995-1997 seasons. J Athl Train. 1999;34(3):277. [PMC free article] [PubMed] [Google Scholar]

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