title: 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.
authors: 1Department of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan; and 2Japan Society for the Promotion of Science, Tokyo, Japan.
authors: Takayuki
authors: T
authors: Hotta
authors: Shu
authors: S
authors: Nishiguchi
authors: Naoto
authors: N
authors: Fukutani
authors: Yuto
authors: Y
authors: Tashiro
authors: Daiki
authors: D
authors: Adachi
authors: Saori
authors: S
authors: Morino
authors: Hidehiko
authors: H
authors: Shirooka
authors: Yuma
authors: Y
authors: Nozaki
authors: Hinako
authors: H
authors: Hirata
authors: Moe
authors: M
authors: Yamaguchi
authors: Tomoki
authors: T
authors: Aoyama
mesh_terms: D000293:Adolescent; D001265:Athletic Injuries / Q000175:diagnosis* / Q000453:epidemiology; D003661:Decision Support Techniques; D005500:Follow-Up Studies; D006305:Health Status Indicators; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008297:Male; D009068:Movement / Q000502:physiology*; D011446:Prospective Studies; D012372:ROC Curve; D012420:Running / Q000293:injuries* / Q000502:physiology; D012680:Sensitivity and Specificity; D055815:Young Adult