Abstract
Although Functional Movement Screen (FMS) and Y Balance Test (YBT) have been demonstrated to associate with injuries, only a few studies have combined these two screening tools to predict the occurrence of future injuries. Thus, in this study, we combined FMS and YBT scores to predict the injury occurrence during a 6-month period in a physically active collegiate population. Forty physically active college students participated in this study, and were tested by the FMS including seven tests and the YBT. After being tested, participants were tracked for six months to identify the occurrence of injuries. Data of the injured and non-injured groups were later analyzed to determine the between-group differences. Significant injury predictors were identified with a regression analysis. Results showed that inline lunge (dominant side) test and shoulder mobility (non-dominant side) test were the significant injury predictors from the FMS, while anterior reach asymmetry was the predictor from the YBT. The Nagelkerke R square from the regression model was .711. This study concluded that combination of some test items from FMS and YBT could predict the injury occurrence. "Inline lunge" test and "anterior reach asymmetry" were the better predictors for lower extremity injury risk, while "shoulder mobility" test was a better predictor for upper extremity injury occurrence. This study suggests that preseason FMS and YBT can be used to identify the risk factors, and assist trainers to find physically active individuals with greater risk of injury. Thus, proper training with the aim of reducing injury occurrence may be implemented before the sports season.
Translated title of the contribution | Functional Movement Screen and Y-Balance Test as Injury Predictors in College Students |
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Original language | Chinese (Traditional) |
Pages (from-to) | 178-190 |
Number of pages | 3 |
Journal | 大專體育學刊 |
Volume | 20 |
Issue number | 2 |
DOIs | |
State | Published - 30 Jun 2018 |
Keywords
- physically active
- inline lunge
- shoulder mobility
- risk