Accuracy of Functional Movement Screen Deep Squat Scoring and the Influence of Optimized Scoring Criteria: A 3-Dimensional Kinematic Approach

in Journal of Sport Rehabilitation
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Context: The deep squat (DS) test is a component of the functional movement screen, which is used to assess the quality of fundamental movement patterns; however, the accuracy of the DS has not been studied. The DS is a complex, total body movement pattern with evaluation required at several points along the kinematic chain. Objective: To assess the accuracy of DS scoring by an athletic trainer, physical therapist, and exercise science professional via a comparative analysis with kinematic data (KD) and to identify scoring criteria that would improve agreement between raters and KD scores. Design: Cross-sectional study. Setting: Motion analysis laboratory. Participants: A rater from each of 3 movement science disciplines rated the DS of 23 male college athletes (20.3 [1.2] y; 70.5 [3.5] kg). Interventions: Subjects were outfitted with reflective markers and asked to perform the DS. The DS performance was scored by 3 raters and kinematic analysis. Subsequently, the optimal set of criteria that minimized the difference between mode rater score and KD was determined via a Nelder–Mead simplex optimization routine. Main Outcome Measures: Intraclass correlation coefficients (ICCs) were calculated using SPSS (version 23; IBM, Armonk, NY) to determine tester agreement with the KD score and between the mode score and KD score. Results: Agreement was poor for the athletic trainer (ICC = .387), physical therapist (ICC = .298), exercise science professional (ICC = .378), and raters’ DS scores when compared with the KD. Agreement was poor for the mode score when compared with KD prior to optimization and good following optimization (ICC = .830), thereby allowing identification of specific scoring errors. Conclusions: Agreement for DS scores is poor when compared with KD; however, it may be improved with optimization of DS scoring criteria.

Scibek and Moran are with Sacred Heart University, Fairfield, CT. Edmond is with Rutgers University, Newark, NJ.

Scibek (scibeke@sacredheart.edu) is corresponding author.
  • 1.

    Chorba RS, Chorba DJ, Bouillon LE, Overmyer CA, 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):4754. PubMed ID: 21589661

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Kiesel K, 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):147158. PubMed ID: 21522210

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Peate WF, Bates G, Lunda K, Francis S, Bellamy K. Core strength: a new model for injury prediction and prevention. J Occup Med Toxicol. 2007;2:3. PubMed ID: 17428333 doi:10.1186/1745-6673-2-3

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    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):6272. PubMed ID: 21522216

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Wainner RS, Whitman JM, Cleland JA, Flynn TW. Regional interdependence: a musculoskeletal examination model whose time has come. J Orthop Sports Phys Ther. 2007;37(11):658660. PubMed ID: 18057674 doi:10.2519/jospt.2007.0110

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Cook G, Burton L, Kiesel K, Rose G, Bryant M. Movement: Functional Movement Systems: Screening, Assessment, Corrective Strategies. 1st ed. Aptos, CA: On Target Publications; 2010.

    • Search Google Scholar
    • Export Citation
  • 7.

    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):479486. PubMed ID: 20072050 doi:10.1519/JSC.0b013e3181c09c04

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Kiesel KB, Butler RJ, Plisky PJ. Prediction of injury by limited and asymmetrical fundamental movement patterns in American football players. J Sport Rehabil. 2014;23(2):8894. PubMed ID: 24225032 doi:10.1123/jsr.2012-0130

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Lisman P, O’Connor FG, Deuster PA, Knapik JJ. Functional movement screen and aerobic fitness predict injuries in military training. Med Sci Sports Exerc. 2013;45(4):636643. PubMed ID: 23190584 doi:10.1249/MSS.0b013e31827a1c4c

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Chapman RF, Laymon AS, Arnold T. Functional movement scores and longitudinal performance outcomes in elite track and field athletes. Int J Sports Physiol Perform. 2014;9(2):203211. PubMed ID: 23630121 doi:10.1123/ijspp.2012-0329

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Okada T, Huxel KC, Nesser TW. Relationship between core stability, functional movement, and performance. J Strength Cond Res. 2011;25(1):252261. PubMed ID: 20179652 doi:10.1519/JSC.0b013e3181b22b3e

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Parchmann CJ, McBride JM. Relationship between functional movement screen and athletic performance. J Strength Cond Res. 2011;25(12):33783384. PubMed ID: 21964425 doi:10.1519/JSC.0b013e318238e916

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Gulgin H, Hoogenboom B. The functional movement screening (FMS): an inter-rater reliability study between raters of varied experience. Int J Sports Phys Ther. 2014;9(1):1420. PubMed ID: 24567851

    • Search Google Scholar
    • Export Citation
  • 14.

    Onate JA, Dewey T, Kollock RO, et al. Real-time intersession and interrater reliability of the functional movement screen. J Strength Cond Res. 2012;26(2):408415. PubMed ID: 22266547 doi:10.1519/JSC.0b013e318220e6fa

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Scibek EP, Edmond SL, Moran MM. Inter-tester reliability of the functional movement screen across disciplines. Poster presented at: 2013 NSCA National Conference; July 2013. Las Vegas, NV.

    • Search Google Scholar
    • Export Citation
  • 16.

    Smith CA, Chimera NJ, Wright NJ, Warren M. Interrater and intrarater reliability of the functional movement screen. J Strength Cond Res. 2013;27(4):982987. PubMed ID: 22692121 doi:10.1519/JSC.0b013e3182606df2

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Teyhen DS, Shaffer SW, Lorenson CL, et al. The Functional Movement Screen: a reliability study. J Orthop Sports Phys Ther. 2012;42(6):530540. PubMed ID: 22585621 doi:10.2519/jospt.2012.3838

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Butler RJ, Plisky PJ, Southers C, Scoma C, Kiesel KB. Biomechanical analysis of the different classifications of the Functional Movement Screen deep squat test. Sports Biomech. 2010;9(4):270279. PubMed ID: 21309301 doi:10.1080/14763141.2010.539623

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Portney LG, Watkins MP. Foundations of Clinical Research: Applications to Practice. 3rd ed. Upper Saddle River, NJ: Prentice Hall; 2008. http://wps.prenhall.com/chet_portney_foundations_3/. Accessed August 16, 2015.

    • Search Google Scholar
    • Export Citation
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