Abstract
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
Keywords: Aesthetic Athlete, Dance Medicine, Injury Prevention, Movement System, Screening Tool
INTRODUCTION
Distinct due to its aesthetic nature and expressivity, dance remains a physically demanding activity, with 50-85% of dancers suffering injury during a single performance season.1-4 A majority of these injuries are to the lower extremity and chronic in nature.5-7 These overuse injuries are thought to arise from the cumulative effects of microtrauma, manifesting when causal factors, such as inefficient or compensatory movement patterns and altered biomechanics, are not identified and addressed.8-10
The Functional Movement Screen™ (FMS™) is a popular screening tool consisting of seven movement tasks intended to identify and quantify appropriate, dysfunctional, and/or painful movement.8,11,12 It was designed to challenge the interactions of kinetic chain mobility and stability necessary for adequate performance of basic, functional movement patterns; bridging the gap between individual muscle or joint assessments such as range of motion or manual muscle testing and performance testing.8,11,13,14 Given the cost and consequences of musculoskeletal injury and its sequelae,15,16 common applications of the FMS™ have included attempts to predict performance17-19 and injury.12,20-24 While other uses exist, the ability to stratify individuals at higher risk of potential injury and allow for targeted interventions to address identified deficits would be beneficial to the sports medicine community and beyond. Indeed, the FMS™ has been used in this capacity among athletes at the high school,25 collegiate,20,23,26,27 and professional levels.12,28 Active populations where reduction in injury rates would also prove valuable, such as in public safety and the military have also examined the potential of the FMS™ to predict injury.29-31
Conflicting reviews of the predictive value of the FMS™ may be due to the variety in sample sizes, settings, injury definitions, and statistical techniques used in various studies.16,32,33 One population where proper identification of functional movement insufficiencies with a screen such as the FMS™ and appropriate subsequent intervention could have a significant and positive impact is that of dancers. The etiology of some dance injuries may stem from the unique demands inherent to the activity itself, such as the repetitive movement patterns and extreme ranges of motion often required of the performer. The overwhelming majority of these injuries manifest as chronic issues in the lower extremity. Overall, despite dancers being an active population at risk for sustaining injury, and regardless of extensive research using the FMS™ to screen for risk of injury, it remains unknown whether or not this tool is capable of predicting injury among collegiate dancers. Thus, the objective of this study was to examine whether FMS™ scores predicted injury in collegiate dancers.
METHODS
Experimental Approach to the Problem
This research utilized a prospective cohort study design to examine composite FMS™ scores and documented injuries in collegiate dancers over a 40-week academic year. Injuries were recorded by an in-house certified athletic trainer. The FMS™ testing was performed in a single session as part of an annual physical fitness assessment. The same investigator performed the FMS™ on all participants. This tester was certified in using the FMS™ and had two years’ experience using the tool as part of standard practice of care.
Participants
Forty-three collegiate dancers (34 female, 9 male; age = 18 + 0.7 years; height = 162.6 + 5.9 cm; mass = 59.4 + 7.1 kg, dance experience = 12.7 + 3.8 years) participated in the study. Participants were dance majors in a program that emphasizes modern dance, but all dancers had prior experience in other dance styles including, but not limited to ballet, jazz, and hip-hop dance. Participants danced 25.6 + 5.6 hours weekly (including dance classes, rehearsals, and performances). Researchers collected dancers’ anthropometric data; age was recorded to the nearest whole year, height was measured to the nearest millimeter using a Seca 216 Stadiometer (Scale Co. Inc, Brooklyn, NY), and body mass to the nearest 0.1kg using a digital scale (Precision Digital Bathroom Scale, HealthTools LLC, Mahwah, NJ). The George Mason University's Institutional Review Board approved the study, and all participants gave their written, informed consent before taking part in the study.
Injury Definitions
Injuries were defined based on prior recommendations for surveillance of dance injuries as ‘any physical complaint sustained by a dancer resulting from company performance, rehearsal, or technique class and resulting in a dancer injury report and triage, irrespective of the need for medical attention or time-loss from dance activities’.5,34 All injury data were recorded over a 40-week academic year by the healthcare team. Anatomical locations of all injuries were specified, and we included both overall and LE injuries (toes-foot, ankle-lower leg, knee, and hip-thigh) in the present study. The same athlete may have incurred multiple injuries throughout the academic year, potentially at the same anatomical location.
The Functional Movement Screen™ (FMS™)
The same, certified investigator performed the FMS™ screen for all participants. The FMS™ was conducted based on previously published protocols.8,11 Briefly, researchers examined the seven FMS™ movements: Deep Squat, Hurdle Step, In-Line Lunge, Active Straight Leg Raise, Rotary Stability, Shoulder Mobility, and Trunk Stability Push-Up. All seven tasks were able to be executed up to three times and the best of the three trials was scored. Of the bilateral tests, if there was a difference in scores from left to right side, the lower of the two scores was accepted and the asymmetry noted. Researchers also conducted bilateral Yocum's tests, spinal flexion, and spinal extension clearing tests to assess for pain indicative of pathology. Positive clearing tests override FMS™ scores for their associated movement tasks, as a score of 0 is given if pain is indicated. Each movement was scored on a 0-3 scale, where 3=movement completed as requested without compensation, 2=movement completed, but with compensation(s), 1=unable to complete movement as requested, 0=experienced pain during movement or clearing test, for a total composite score of up to 21.
Statistical Analyses
Separate Receiver Operator Characteristic (ROC) curve analyses examined whether FMS™ scores could predict (1) overall or (2) LE injury status. An 0.05 a priori alpha level was set for all tests, and SPSS 24.0 was used to conduct all analyses.
RESULTS
Dancers scored 16.2 + 1.7 on the FMS™ (range 11-19). Over the study period 20/43 dancers suffered an injury. Injured dancers had 55 overall (1.28/dancer) and 44 LE injuries (1.02/dancer). The FMS™ score did not predict either 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). (Figures 1-2)
Figure 1.
Receiver Operator Characteristics (ROC) Curve examining ability of composite FMS™ scores to predict overall injury risk in collegiate dancers
Figure 2.
Receiver Operator Characteristics (ROC) Curve examining ability of composite FMS™ scores to predict lower extremity injury risk in collegiate dancers
DISCUSSION
Primary Findings
Given that dancers are at risk for injury, and with prior reports suggesting the use of the FMS™ to identify at-risk individuals, researchers examined whether the FMS™ could predict injury risk in collegiate dancers. However, FMS™ scores did not demonstrate the ability to predict overall or LE injury risk in this cohort of collegiate dancers.
Comparisons with Prior Literature
Despite some prior literature suggesting that higher composite FMS™ scores were associated with decreased injury risk,12,20 FMS™ scores did not predict overall or lower extremity injury risk in the current group of university dancers. These findings are consistent with other reports that suggest the FMS™ is not useful as a predictor of musculoskeletal injury risk.21,22,24,35,36 While challenges exist with interpretation of the composite FMS™ score,16 generally, previous authors have suggested that those who achieve a composite FMS™ score above 14 have a decreased risk of experiencing injury compared to those who score at or below this level.6,7,9,12,20,27,29,31 Due to the differences in statistical methodology, population, and injury definitions used in various studies, whether or not there is a ceiling of discriminative ability at a composite score of 14 remains unknown.
While some studies have used slightly higher cut-off scores,13,14,37 the findings are mixed. Prior researchers found that a composite FMS™ score below 17 was associated with an increased risk of sustaining injury,26 whereas others21,24 using cut-off scores of 17 and 15, respectively, found limited prognostic accuracy – indicating that FMS™ aggregate score was not useful in predicting musculoskeletal injuries. At least one cut-off point below the more commonly used score of 14 has also been reported in a sample of professional rugby players.10 It is worth noting that this lower cut-off score of 13 was found by considering only severe injuries that excluded player participation in either practice or competition for at least 28 days.10
A more recent systematic review with meta-analysis concluded the strength of association between composite FMS™ scores and subsequent injury does not support its use in a predictive capacity.22 In agreement with this review, this study also found that composite FMS™ scores were not able to predict injury risk in our sample of collegiate dancers.
FMS™ Scoring
While reliability has been well-established with scoring the FMS™,6,32,37-39 significant concerns remain regarding the validity of the instrument.22,32 Validity is defined in this case based on the ability of the screening tool to identify deficiencies in movement patterns.13,14,32 Although not designed with this specific application in mind, the composite score is often used in evaluating injury risk.7,33 This composite FMS™ score utilized by practitioners to determine those at higher risk for injury ranges from 0-21 and, as previously described, is the summed total of seven individual movement tasks.9,40 This scoring interpretation assumes a stable factor structure and unidimensionality of the FMS™.7,41,42
The factor structure of a scale, particularly one being interpreted as single, unidimensional construct, is important and can be evaluated using exploratory factor analysis.7,40 A recent study found the FMS™ composite score did not present a gestalt measure of movement quality.43 This observation – and the observations by multiple other authors examining different populations (youth athlete, elite athlete, and military personnel) – call into question the construct validity of a single summed value, providing evidence against the unidimensionality of the FMS™.40,42-44 Overall, these findings caution against traditional use of a composite FMS™ score as a predictor for future injury risk.
Limitations and Future Recommendations
There are limitations in this study. The sample is from a single institution and thus may not be representative of all dancers and genres at the collegiate level. Ideally, examination of multiple sites and programs, different genres, and varying levels of dance would provide better ability to generalize results. A strength of this study is that we had the same, trained individual score the FMS™ for all participants. This individual was also part of the healthcare team that kept in-house medical care records throughout the duration of the study.
A previously examined FMS™ confounding factor45 that may have impacted this study is that of performers’ knowledge, given the sample of collegiate dancers. Participants adapt their movement based on their understanding of the instructions given and their experience or familiarity with the tasks.45 Specifically, while the verbal instructions of “descend as far as you can into a squat position”13 may be adequate for certain athletes to perform the requested action, the same might not be true for another group of participants (e.g. dancers without the training experiences more common to traditional sports like football or basketball). How this factor may have affected FMS™ scores warrants further study.
PRACTICAL APPLICATIONS
Movement screening tests such as the FMS™ have gained popularity as simple, objective methods to quantify dysfunctional movement patterns and determine injury risk.40 These screening tools are suggested to aid in performance enhancement and educational efforts, as well as assist in making return-to-play or return-to-performance decisions. Dancers face unique physical demands intrinsic to their craft which distinguishes them from traditional athletes, more commonly the subjects of studies that utilize the FMS™ to predict injury. For example, greater ranges of movement are often necessary to properly perform; however, the FMS™ is unable to distinguish ‘appropriate’ from ‘excessive’ mobility - something which would be important to identify in this population. These findings suggest the FMS™ may not be sensitive enough to adequately capture dysfunctional movement predictive of injury in this particular population. The implications of these results suggest that practitioners should exercise caution before using the FMS™ as a measure to identify dancers at increased injury risk.
CONCLUSIONS
Overall, although nearly half of the dancers suffered from injury, composite FMS™ score did not predict overall or LE injury risk in collegiate dancers. Thus, the FMS™ may not be sensitive enough to adequately identify injury risk in collegiate dancers. Practitioners should use caution before using the FMS™ as a primary screening mechanism to identify collegiate dancers at increased overall or LE injury risk. Further, it is recommended that the practical use of the FMS™ be limited to assessment of movement quality in dancers.
REFERENCES
- 1.Trentacosta N Sugimoto D Micheli LJ. Hip and groin injuries in dancers: A systematic review. Sports Health. 2017;9(5):422-427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bowling A. Injuries to dancers: Prevalence, treatment, and perceptions of causes. BMJ. 1989;298(6675):731-734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Luke AC Kinney SA D’Hemecourt PA, et al. Determinants of injuries in young dancers. Med Probl Perform Art. 2002;17(3): 105. [Google Scholar]
- 4.Thomas H Tarr J. Dancers’ perceptions of pain and injury: Positive and negative effects. J Dance Med Sci. 2009;13(2):51-59. [PubMed] [Google Scholar]
- 5.Bronner S. Comprehensive surveillance of dance injuries: A proposal for uniform reporting guidelines for professional companies. J Dance Med Sci. 2006;10:69–80. [Google Scholar]
- 6.Minick KI Kiesel KB Burton L, et al. Interrater reliability of the Functional Movement Screen. J Strength Cond Res. 2010;24(2):479-486. [DOI] [PubMed] [Google Scholar]
- 7.Kelleher LK Beach TAC Frost DM, et al. Factor structure, stability, and congruence in the Functional Movement Screen. Meas Phys Educ Exerc Sci. 2018;22(2):109-115. [Google Scholar]
- 8.Cook G Burton L Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function - part 1. N Am J Sports Phys Ther. 2006;1(2):62-72. [PMC free article] [PubMed] [Google Scholar]
- 9.Bunn P dos S Rodrigues AI Bezerra da Silva E. The association between the functional movement screen outcome and the incidence of musculoskeletal injuries: A systematic review with meta-analysis. Phys Ther Sport. 2019;35:146-158. [DOI] [PubMed] [Google Scholar]
- 10.Tee JC Klingbiel JFG Collins R, et al. Preseason Functional Movement Screen component tests predict severe contact injuries in professional rugby union players. J Strength Cond Res. 2016;30(11):3194-3203. [DOI] [PubMed] [Google Scholar]
- 11.Cook G Burton L Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function - part 2. N Am J Sports Phys Ther. 2006;1(3):132-139. [PMC free article] [PubMed] [Google Scholar]
- 12.Kiesel K Plisky PJ Voight ML. Can serious injury in professional football be predicted by a preseason FMS? N Am J Sports Phys Ther. 2007;2(3):147-158. [PMC free article] [PubMed] [Google Scholar]
- 13.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):396-409. [PMC free article] [PubMed] [Google Scholar]
- 14.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]
- 15.Whittaker JL Booysen N de la Motte S, et al. Predicting sport and occupational lower extremity injury risk through movement quality screening: a systematic review. Br J Sports Med. 2017;51(7):580-585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wright AA Stern B Hegedus EJ, et al. Potential limitations of the functional movement screen: a clinical commentary. Br J Sports Med. 2016;50(13):770-771. [DOI] [PubMed] [Google Scholar]
- 17.Armstrong R Brogden C Greig M. The functional movement screen as a predictor of mechanical loading in dancers. Phys Ther Sport. 2017;28:e4. [Google Scholar]
- 18.Okada T Huxel KC Nesser TW. Relationship between core stability, functional movement, and performance: J Strength Cond Res. 2011;25(1):252-261. [DOI] [PubMed] [Google Scholar]
- 19.Lockie RG Schultz AB Callaghan SJ, et al. A preliminary investigation into the relationship between functional movement screen scores and athletic physical performance in female team sport athletes. Biol Sport. 2014;32(1):41–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Chorba RS Chorba DJ Bouillon LE, et al. 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]
- 21.Dorrel B Long T Shaffer S Myer GD. The Functional Movement Screen as a predictor of injury in National Collegiate Athletic Association division II athletes. J Athl Train. 2018;53(1):29-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Moran RW Schneiders AG Mason J Sullivan SJ. Do Functional Movement Screen (FMS) composite scores predict subsequent injuryϿ. A systematic review with meta-analysis. Br J Sports Med. 2017;51(23):1661-1669. [DOI] [PubMed] [Google Scholar]
- 23.Warren M Smith CA Chimera NJ. Association of the Functional Movement Screen with injuries in division I athletes. J Sport Rehabil. 2015;24(2):163-170. [DOI] [PubMed] [Google Scholar]
- 24.Wiese BW Boone JK Mattacola CG, et al. Determination of the Functional Movement Screen to predict musculoskeletal injury in intercollegiate athletics. Athl Train Sports Health Care. 2014;6(4):161–169. [Google Scholar]
- 25.Bardenett SM Micca JJ Denoyelles JT, et al. Functional Movement Screen normative values and validity in high school athletes: Can the FMSTM be used as a predictor of injury? Int J Sports Phys Ther. 2015;10(3):303-308. [PMC free article] [PubMed] [Google Scholar]
- 26.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]
- 27.Mokha M Sprague PA Gatens DR. Predicting musculoskeletal injury in National Collegiate Athletic Association division II athletes from asymmetries and individual-test versus composite Functional Movement Screen scores. J Athl Train. 2016;51(4):276-282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Azzam MG Throckmorton TW Smith RA, et al. The Functional Movement Screen as a predictor of injury in professional basketball players. Curr Orthop Pract. 2015;26(6):619-623. [Google Scholar]
- 29.Bushman TT Grier TL Canham-Chervak M, et al. The Functional Movement Screen and injury risk: Association and predictive value in active men. Am J Sports Med. 2016;44(2):297–304. [DOI] [PubMed] [Google Scholar]
- 30.Butler RJ Contreras M Burton LC, et al. Modifiable risk factors predict injuries in firefighters during training academies. Work Read Mass. 2013;46(1):11-17. [DOI] [PubMed] [Google Scholar]
- 31.O’Connor FG Deuster PA Davis J, et al. Functional movement screening: Predicting injuries in officer candidates. Med Sci Sports Exerc. 2011;43(12):2224-2230. [DOI] [PubMed] [Google Scholar]
- 32.Bonazza NA Smuin D Onks CA, et al. 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]
- 33.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]
- 34.Ambegaonkar JP Schock CS Cortes N, et al. Lower extremity horizontal work but not vertical power predicts lower extremity injury in female collegiate dancers: J Strength Cond Res. 2018;32(7):2018-2024. [DOI] [PubMed] [Google Scholar]
- 35.Chalmers S Fuller JT Debenedictis TA, et al. Asymmetry during preseason Functional Movement Screen testing is associated with injury during a junior Australian football season. J Sci Med Sport. 2017;20(7):653-657. [DOI] [PubMed] [Google Scholar]
- 36.Fuller JT Chalmers S Debenedictis TA, et al. High prevalence of dysfunctional, asymmetrical, and painful movement in elite junior Australian Football players assessed using the Functional Movement Screen. J Sci Med Sport. 2017;20(2):134-138. [DOI] [PubMed] [Google Scholar]
- 37.Cuchna JW Hoch MC Hoch JM. The interrater and intrarater reliability of the functional movement screen: A systematic review with meta-analysis. Phys Ther Sport. 2016;19:57–65. [DOI] [PubMed] [Google Scholar]
- 38.Parenteau-G E Gaudreault N Chambers S, et al. Functional movement screen test: A reliable screening test for young elite ice hockey players. Phys Ther Sport. 2014;15(3):169-175. [DOI] [PubMed] [Google Scholar]
- 39.Teyhen DS Shaffer SW Lorenson CL, et al. The Functional Movement Screen: A reliability study. J Orthop Sports Phys Ther. 2012;42(6):530-540. [DOI] [PubMed] [Google Scholar]
- 40.Chimera NJ Warren M. Use of clinical movement screening tests to predict injury in sport. World J Orthop. 2016;7(4):202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kraus K Tz ES Taylor WR Doyscher R. Efficacy of the Functional Movement Screen: A review. J Strength Cond Res. 2014;28(12):3571-3584. [DOI] [PubMed] [Google Scholar]
- 42.Li Y Wang X Chen X Dai B. Exploratory factor analysis of the functional movement screen in elite athletes. J Sports Sci. 2015;33(11):1166-1172. [DOI] [PubMed] [Google Scholar]
- 43.Wright MD Chesterton P. Functional Movement ScreenTM total score does not present a gestalt measure of movement quality in youth athletes. J Sports Sci. 2019;37(12):1393-1402. [DOI] [PubMed] [Google Scholar]
- 44.Kazman JB Galecki JM Lisman P, et al. Factor structure of the functional movement screen in marine officer candidates. J Strength Cond Res. 2014;28(3):672-678. [DOI] [PubMed] [Google Scholar]
- 45.Frost DM Beach TAC Callaghan JP McGill SM. FMS scores change with performers’ knowledge of the grading criteria—Are general whole-body movement screens capturing “dysfunction”? J Strength Cond Res. 2015;29(11):3037–3044. [DOI] [PubMed] [Google Scholar]


