Functional Movement Screen for Predicting Running Injuries in 18- to 24-Year-Old Competitive Male Runners

Abstract

The purpose of this study was to investigate whether the functional movement screen (FMS) could predict running injuries in competitive runners. Eighty-four competitive male runners (average age = 20.0 ± 1.1 years) participated. Each subject performed the FMS, which consisted of 7 movement tests (each score range: 0-3, total score range: 0-21), during the preseason. The incidence of running injuries (time lost because of injury ≤ 4 weeks) was investigated through a follow-up survey during the 6-month season. Mann-Whitney U-tests were used to investigate which movement tests were significantly associated with running injuries. The receiver-operator characteristic (ROC) analysis was used to determine the cutoff. The mean FMS composite score was 14.1 ± 2.3. The ROC analysis determined the cutoff at 14/15 (sensitivity = 0.73, specificity = 0.54), suggesting that the composite score had a low predictability for running injuries. However, the total scores (0-6) from the deep squat (DS) and active straight leg raise (ASLR) tests (DS and ASLR), which were significant with the U-test, had relatively high predictability at the cutoff of 3/4 (sensitivity = 0.73, specificity = 0.74). Furthermore, the multivariate logistic regression analysis revealed that the DS and ASLR scores of ≤3 significantly influenced the incidence of running injuries after adjusting for subjects' characteristics (odds ratio = 9.7, 95% confidence interval = 2.1-44.4). Thus, the current study identified the DS and ASLR score as a more effective method than the composite score to screen the risk of running injuries in competitive male runners.

Preseason Functional Movement Screen Component Tests Predict Severe Contact Injuries in Professional Rugby Union Players

“…This allows for the actual risk factor to be addressed and mitigated more accurately. Recent research in competitive male runners has shown that a combination of deep squat and active straight leg raise scores were predictive of injury, but the FMS composite score was not (21).…”

“…Recently published research by Hotta et al, (2015) showed that in a population of competitive male runners the composite FMS score was not predictive of injury, but a combination of the scores for the deep squat and active straight leg raise tests was (21). Based on this finding it seems that certain FMS component tests may be more relevant for injury risk than others within particular populations.…”

“…Despite the widespread use of the FMS within sporting (27) and tactical (2) populations, recent research has questioned the validity of the use of the composite score (out of 21), as opposed to the use of individual test components. Kazman et al…”

Cycling specific postural stability during incremental exercise. The relationship with cyclists functional movement screen score

“…The additional aim of present study was to analyse relationships between the cycling specific postural stability during pedalling at different intensity levels and FMS score that describes the cyclists' core stability and fundamental movement abilities in body control (Cook et al, 2014a). The results of FMS test indicated that less than half (n=16) of the cyclists achieved score of 14 points or less, that is found to be a line for elevated injury risk (Kiesel et al, 2007;Hotta et al, 2015). The moderate to strong relationships between cycling postural stability and FMS score directed also that cyclists with low core stability and pure ability to control his body are moving more in the saddle.…”

“…The FMS test includes 7 fundamental movement exercises that are evaluated in the terms of the quality of movement patterns, bilateral symmetry and existence of the compensatory movements in a scale from 0 to 3 with a maximal overall score of 21 points (Cook et al, 2014a and. This test complex is shown to have a good intraand interrater reliability (Minick et al, 2010;Teyhen et al, 2012) and validity as a predictor of injury risk (Kiesel et al, 2007;Hotta et al, 2015 ). Validity of the FMS to predict sport performance and ability to perform sports specific movement correctly is not so clear as demonstrated with the risk of injuries (Kraus et al, 2014).…”