Daniel R Clifton1, Dustin R Grooms1, James A Onate1. 1. Division of Athletic Training, The Ohio State University, School of Health & Rehabilitation Sciences, Columbus, OH, USA.
Abstract
BACKGROUND: The Functional Movement Screen (FMS™) has been suggested for use in predicting injury risk in active populations, but time constraints may limit use of the screening test battery. Identifying one component of the FMS™ that can predict which individuals may perform poorly on the entire test, and therefore should undergo the full group of screening maneuvers, may reduce time constraints and increase pre-participation screening utilization. PURPOSE: The purpose of this study was to determine if performance on the FMS™ overhead deep squat test (DS) could predict performance on the entire FMS™. STUDY DESIGN: Cohort study. METHODS: One hundred and three collegiate athletes underwent offseason FMS™ testing. The DS and adjusted FMS™ composite scores were dichotomized into low performance and high performance groups with athletes scoring below 2 on the DS categorized as low performance, and athletes with adjusted FMS™ composite scores below 12 categorized as low performance. Scores of 2 or above and 12 or above were considered high performances for the DS test and adjusted FMS™ composite score respectively, and therefore low risk for movement dysfunction and potentially, injury. RESULTS: Individuals categorized as low performance as a result of the DS test had lower adjusted FMS™ composite scores (p < 0.001). DS scores were positively correlated with adjusted FMS™ composite scores (ρ = 0.50, p < 0.001). Binomial logistic regression identified an odds ratio of 3.56 (95% CI: 1.24, 10.23, p = 0.018) between DS and FMS™ performance categories. CONCLUSIONS: Performance on the DS test may predict performance on the FMS™ and help identify individuals who require further musculoskeletal assessment. Further research is needed to determine if DS performance can predict asymmetries during the FMS™. LEVEL OF EVIDENCE: Level 3.
BACKGROUND: The Functional Movement Screen (FMS™) has been suggested for use in predicting injury risk in active populations, but time constraints may limit use of the screening test battery. Identifying one component of the FMS™ that can predict which individuals may perform poorly on the entire test, and therefore should undergo the full group of screening maneuvers, may reduce time constraints and increase pre-participation screening utilization. PURPOSE: The purpose of this study was to determine if performance on the FMS™ overhead deep squat test (DS) could predict performance on the entire FMS™. STUDY DESIGN: Cohort study. METHODS: One hundred and three collegiate athletes underwent offseason FMS™ testing. The DS and adjusted FMS™ composite scores were dichotomized into low performance and high performance groups with athletes scoring below 2 on the DS categorized as low performance, and athletes with adjusted FMS™ composite scores below 12 categorized as low performance. Scores of 2 or above and 12 or above were considered high performances for the DS test and adjusted FMS™ composite score respectively, and therefore low risk for movement dysfunction and potentially, injury. RESULTS: Individuals categorized as low performance as a result of the DS test had lower adjusted FMS™ composite scores (p < 0.001). DS scores were positively correlated with adjusted FMS™ composite scores (ρ = 0.50, p < 0.001). Binomial logistic regression identified an odds ratio of 3.56 (95% CI: 1.24, 10.23, p = 0.018) between DS and FMS™ performance categories. CONCLUSIONS: Performance on the DS test may predict performance on the FMS™ and help identify individuals who require further musculoskeletal assessment. Further research is needed to determine if DS performance can predict asymmetries during the FMS™. LEVEL OF EVIDENCE: Level 3.
Authors: Phillip A Gribble; Jill Brigle; Brian G Pietrosimone; Kate R Pfile; Kathryn A Webster Journal: J Strength Cond Res Date: 2013-04 Impact factor: 3.775
Authors: Francis G O'Connor; Patricia A Deuster; Jennifer Davis; Chris G Pappas; Joseph J Knapik Journal: Med Sci Sports Exerc Date: 2011-12 Impact factor: 5.411
Authors: James A Onate; Thomas Dewey; Roger O Kollock; Kathleen S Thomas; Bonnie L Van Lunen; Marlene DeMaio; Stacie I Ringleb Journal: J Strength Cond Res Date: 2012-02 Impact factor: 3.775
Authors: Eric Swart; Lauren Redler; Peter D Fabricant; Bert R Mandelbaum; Christopher S Ahmad; Y Claire Wang Journal: J Bone Joint Surg Am Date: 2014-05-07 Impact factor: 5.284
Authors: Estêvão Rios Monteiro; Jakob Škarabot; Andrew D Vigotsky; Amanda Fernandes Brown; Thiago Matassoli Gomes; Jefferson da Silva Novaes Journal: Int J Sports Phys Ther Date: 2017-02