TY  - JOUR
PY  - 2016//
TI  - Predicting injury: challenges in prospective injury risk factor identification
JO  - Journal of athletic training
A1  - Clifton, Daniel R.
A1  - Grooms, Dustin R.
A1  - Hertel, Jay
A1  - Onate, James A.
SP  - 658
EP  - 661
VL  - 51
IS  - 8
N2  - CONTEXT: Musculoskeletal injury-prediction methods vary and may have limitations that affect the accuracy of results and clinical meaningfulness. <br><br>BACKGROUND: Research examining injury risk factors is meaningful, but attempting to extrapolate injury risk from studies that do not prospectively assess injury occurrence may limit clinical applications. Injury incidence is a vital outcome measure, which allows for the appropriate interpretation of injury-prediction analyses; a lack of injury-incidence data may decrease the accuracy and increase the uncertainty of injury-risk estimates. Extrapolating results that predict an injury risk factor to predicting actual injuries may lead to inappropriate clinical decision-making models. <br><br>CONCLUSIONS: Improved understanding of the limitations of injury-prediction methods, specifically those that do not prospectively assess injuries, will allow clinicians to better assess the clinical meaningfulness of the results.<p />  <p>Language: en</p>
LA  - en
SN  - 1062-6050
UR  - http://dx.doi.org/10.4085/1062-6050-51.11.03
ID  - ref1
ER  -