Literature DB >> 30339631

Do Normative Composite Scores on the Functional Movement Screen Differ Across High School, Collegiate, and Professional Athletes? A Critical Review.

Travis R Pollen1, Frazier Keitt2, Thomas H Trojian2.   

Abstract

OBJECTIVE: The Functional Movement Screen (FMS) is a battery of 7 unloaded tests designed to rate human movement competency. Injury rates vary across the different level of a sport. The purpose of this critical review was to determine whether normative FMS composite scores differ across high school, collegiate, and professional athletic populations and to determine whether normative composite scores correlate with rates of severe injury across different collegiate sports. DATA SOURCES: PubMed, Web of Science, and EBSCO databases from inception to September 2017 with the following syntax: "functional movement screen*" OR "movement screen*". Additional records were identified by citation tracking and hand search of articles. STUDY SELECTION: A total of 708 records identified, of which 36 were included. Studies were included if they reported a FMS composite score for one of the groups. DATA EXTRACTION: Two reviewers (T.R.P. and F.K.) screened records for the author and year; sample size; study design; sport(s); number, age, and sex of participants; testing conditions; methodological quality; and mean or median composite score(s). DATA SYNTHESIS: Normative FMS composite scores were invariant to level of play, with 61% of reported scores falling between 14 and 16, despite injury rates increasing by level of play. Scores for high school, college, and professional athletes were 14.1, 14.8, and 15.7, respectively. There was a significant positive relationship between composite scores and rate of severe injury in college sports (r(11) = 0.66, P = 0.014).
CONCLUSIONS: Our findings potentially undermine the FMS's predictive validity. Although the FMS may have other applications, this critical review provides further evidence against the composite score for injury prediction in competitive athletes.

Entities:  

Year:  2021        PMID: 30339631     DOI: 10.1097/JSM.0000000000000672

Source DB:  PubMed          Journal:  Clin J Sport Med        ISSN: 1050-642X            Impact factor:   3.638


  3 in total

1.  Reliability assessment of the functional movement screen for predicting injury risk in Japanese college soccer players.

Authors:  Takayuki Miyamori; Masashi Nagao; Yu Shimasaki; Takayuki Okazaki; Naoki Akiyoshi; Hirofumi Nishio; Yuji Takazawa; Masafumi Yoshimura
Journal:  J Phys Ther Sci       Date:  2020-12-11

2.  Can the Functional Movement Screen Method Identify Previously Injured Wushu Athletes?

Authors:  Di Wang; Xiao-Mei Lin; Juha-Pekka Kulmala; Arto J Pesola; Ying Gao
Journal:  Int J Environ Res Public Health       Date:  2021-01-15       Impact factor: 3.390

3.  Predictive Validity of a Functional Movement Screen in Professional Basketball Players.

Authors:  Donald L Hoover; Clyde B Killian; Rachel A Tinius; David M Bellar; Steven G Wilkinson; Francis T Esslinger; Lawrence W Judge
Journal:  Medicina (Kaunas)       Date:  2020-12-21       Impact factor: 2.430

  3 in total

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