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Meta-Analysis
. 2019 Aug 3;57(4):406-418.
doi: 10.2486/indhealth.2018-0086. Epub 2018 Nov 3.

The effectiveness of the functional movement screen in determining injury risk in tactical occupations

Roger O Kollock  1 , Madeline Lyons  1 , Gabe Sanders  2 , Davis Hale  1
Affiliations
Meta-Analysis

The effectiveness of the functional movement screen in determining injury risk in tactical occupations

Roger O Kollock et al. Ind Health. .

Erratum in

  • Corrigendum.
    KOLLOCK R, LYONS M, SANDERS G, HALE D. KOLLOCK R, et al. Ind Health. 2019;57(5):C1. doi: 10.2486/indhealth.57_c1. Ind Health. 2019. PMID: 31554759 Free PMC article.

Abstract

Injures are common in workers engaged in tactical occupations. Research suggests that the functional movement screen (FMS) may provide practitioners the ability to identify tactical athletes most at risk for injury. However, there exists controversy as to the effectiveness of the FMS as a tool for classifying injury risk. The purpose of the meta-analysis was to determine the predictive value of the FMS in determining injury risk in workers engaged in tactical occupations. We searched MEDLINE, Military and Government Collection (EBSCO), National Institute for Occupational Safety and Health Technical Information Center and PubMed databases for articles published between January 2000 and October 2017 [corrected]. Ten studies met the inclusion criteria. Multiple random-effects model meta-analyses were conducted, with an odds ratio as the effects metric. FMS cut-off score, occupation, injury type and sex were used as moderators for the analyses. The odds of injury were greatest for tactical athletes with FMS scores ≤14. Personnel scoring ≤14 had almost 2 times the odds of injury as compared to those scoring >14. However, the magnitude of the effects were small; thus the relationship between FMS cut scores and injury prediction does not support its use as a sole predictor of injury.

Keywords: Firefighters; Military medicine; Military personnel; Occupational medicine; Preventive medicine.

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Figures

Fig. 1.
Fig. 1.
Outline of literature search and selection.
Fig. 2.
Fig. 2.
Funnel plot of included studies for ≤14/>14 cutoff score.
See this image and copyright information in PMC

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