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OVERHEAD DEEP SQUAT PERFORMANCE PREDICTS FUNCTIONAL MOVEMENT SCREEN™ SCORE.

Daniel R Clifton1, Dustin R Grooms1, James A Onate1

  • 1Division of Athletic Training, The Ohio State University, School of Health & Rehabilitation Sciences, Columbus, OH, USA.

International Journal of Sports Physical Therapy
|October 23, 2015
PubMed
Summary
This summary is machine-generated.

The overhead deep squat test (DS) can predict overall Functional Movement Screen (FMS™) performance in athletes. This may help streamline injury risk screening and identify individuals needing further musculoskeletal assessment.

Keywords:
Injury risk assessmentinjury preventionpre‐participation examinationscreening

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Area of Science:

  • Sports Medicine
  • Biomechanics
  • Movement Science

Background:

  • The Functional Movement Screen (FMS™) is used for injury risk prediction in athletes.
  • Time constraints can limit the widespread application of the full FMS™ battery.
  • Identifying a single predictive component could enhance screening efficiency.

Purpose of the Study:

  • To evaluate if the overhead deep squat (DS) test performance predicts overall FMS™ performance.
  • To determine the utility of the DS test as a predictor within the FMS™ framework.

Main Methods:

  • A cohort study involving 103 collegiate athletes undergoing offseason FMS™ testing.
  • Dichotomization of DS and FMS™ composite scores into low and high performance groups.
  • Statistical analysis including correlation and binomial logistic regression.

Main Results:

  • Low performance on the DS test was significantly associated with lower adjusted FMS™ composite scores (p < 0.001).
  • DS scores demonstrated a positive correlation with adjusted FMS™ composite scores (ρ = 0.50, p < 0.001).
  • The DS test predicted FMS™ performance categories with an odds ratio of 3.56 (p = 0.018).

Conclusions:

  • Performance on the overhead deep squat test may serve as a predictor for overall FMS™ performance.
  • The DS test can potentially identify athletes requiring additional musculoskeletal evaluation.
  • Further research is warranted to explore DS performance's ability to predict FMS™ asymmetries.