Injury Prediction Using Injury Risk Algorithm & Risk Categories

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Lehr ME, Plisky PJ, Kiesel KB, Butler RJ, Fink M, Underwood FB. Field Expedient Screening and Injury Risk Algorithm Categories as Predictors of Non-Contact Lower Extremity Injury. Scan J Med Sci Sport. 2013

“Athletes identified as High Risk (n = 63) were at a greater risk of noncontact LE injury (27/63) during the season [RR: 3.4 95% confidence interval 2.0 to 6.0]. These results suggest that an injury prediction algorithm composed of performance on efficient, low-cost, field-ready tests can help identify individuals at elevated risk of noncontact LE injury.”

TAKE HOME: By utilizing efficient, easy to administer (history, Functional Movement Screen, Y Balance Test) athletes at greatest risk of injury can be identifited and injury prevention resources can be allocated to those at greatest risk of injury.

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Phil Plisky

I want to change peoples lives through dialogue about injury prevention research and return to activity testing.

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