Literature DB >> 24458441

The accuracy of the functional movement screen to identify individuals with an elevated risk of musculoskeletal injury.

Kirk Krumrei1, Molly Flanagan, Josh Bruner, Chris Durall.   

Abstract

CLINICAL SCENARIO: Injuries are somewhat commonplace in highly active populations. One strategy for reducing injuries is to identify individuals with an elevated injury risk before participation so that remediative interventions can be provided. Preparticipation screenings have traditionally entailed strength and flexibility measures thought to be indicative of inflated injury risk. Some researchers, however, have suggested that functional movements/tasks should be assessed to help identify individuals with a high risk of future injury. One assessment tool used for this purpose is the Functional Movement Screen (FMS). The FMS generates a numeric score based on performance attributes during 7 dynamic tasks; this score is purported to reflect future injury risk. Expanding interest in the FMS has led researchers to investigate how accurately it can identify individuals with an increased risk of injury. FOCUSED CLINICAL QUESTION: Can the Functional Movement Screen accurately identify highly active individuals with an elevated risk of injury?

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Year:  2014        PMID: 24458441     DOI: 10.1123/jsr.2013-0027

Source DB:  PubMed          Journal:  J Sport Rehabil        ISSN: 1056-6716            Impact factor:   1.931


  3 in total

1.  Functional Movement Screening and Paddle-Sport Performance.

Authors:  Andrew Hatchett; Charles Allen; Jake St Hilaire; Alex LaRochelle
Journal:  Sports (Basel)       Date:  2017-06-13

2.  Feasibility and reliability of the Functional Movement Screen battery in adults with intellectual disability.

Authors:  M A Sanchez-Lastra; J Marín Moldes; J C Diz; R I Martínez-Lemos; C Ayán
Journal:  J Intellect Disabil Res       Date:  2022-02-07

Review 3.  Evaluation of the Functional Movement Screen as an Injury Prediction Tool Among Active Adult Populations: A Systematic Review and Meta-analysis.

Authors:  Bryan S Dorrel; Terry Long; Scott Shaffer; Gregory D Myer
Journal:  Sports Health       Date:  2015-09-27       Impact factor: 3.843

  3 in total

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