Association Between Functional Movement Screen Scores and Injuries in Male College Basketball Players.

CONTEXT: The functional movement screen (FMS) is an assessment tool for movement dysfunction, which is used to reduce the risk of injury. Although the relationship between the FMS composite score and injuries has been extensively studied, the association between FMS scores and injuries in only college basketball players remains unknown.

OBJECTIVE: To examine the relationship between the FMS score and injuries in basketball players.

DESIGN: Cross-sectional study.

SETTING: University research laboratory.

PARTICIPANTS: Eighty-one male college basketball players (average age 20.1 [1.3] y) participated.

MAIN OUTCOME MEASURES: The FMS composite score was calculated from 7 movement tests. The incidence of injuries over a 1-year period prior to the test day was determined based on a questionnaire. Individuals were categorized into 2 groups: injury (with a serious basketball-related injury resulting in the loss of practice and game time for at least 4 wk) and noninjury groups. Mann-Whitney U and chi-square tests were used to evaluate group differences in the composite FMS and 7 movement scores, respectively. Furthermore, the scores significant on univariate analyses were submitted to a multivariate logistic analysis, adjusting for participant characteristics.

RESULTS: The composite FMS scores of the 2 groups were not significantly different (P = .38). Among the 7 tasks, only the deep squat and hurdle step showed significant group differences (P = .03 and P = .001, respectively). The multivariate logistic analysis revealed that deep squat (odds ratio, 6.48; 95% confidence interval, 1.23-34.01; P = .03) and hurdle step scores (odds ratio, 25.80; 95% confidence interval, 1.81-368.73; P = .02) were significantly associated with injuries, even after adjustment for participant characteristics.

CONCLUSIONS: Deep squat and hurdle step scores may be associated with injuries in basketball players. Further research should be conducted to confirm that these 2 scores can predict the incidence of injuries in basketball players.