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• W2537436402 abstract "Previous musculoskeletal (MSK) injury history is thought to predispose athletes to increased risk of lower extremity (LE) injury. PURPOSE: Determine if including injury history on a pre-participation examination (PPE) will improve the ability to predict MSK LE injury risk in high school athletes. METHODS: Prior to the start of their respective sports seasons, 3,587 high school football, soccer, basketball and lacrosse athletes (m/f= 2,271/1,316, 15.6±1.2 y, 1.73±0.07 m, 69.3±15.5 kg) completed a functional performance assessment as part of the ongoing functional pre-participation physical evaluation (FPPE) project. Certified Athletic Trainers (ATCs) using the national surveillance tool, High School Reporting Information Online (RIO), collected LE injury data (n=406 injuries reported) across 2 years. An injury was defined as requiring medical care from a physician or ATC and resulting in at least one day lost from athletic participation. Injury history was self-reported on state mandated PPE forms. Binary logistic regression with a two block entry design was used to determine if assessing injury history significantly improved a LE injury risk prediction model. A model was developed by entering age, height, weight, gender, sport, single leg anterior reach (SLAR) asymmetry, and single leg hop (SLHOP) asymmetry into block one using forward conditional selection. A variable indicating a history of injury was added to the model in block two to determine if it significantly improved the model developed in block one. Alpha level was set a priori at p<0.05. RESULTS: The initial model best predicting injury included age, height, weight, gender, sport, and SLHOP asymmetry greater than 20% (Χ2 = 90.301, df = 8, p < 0.001). Adding history of injury significantly improved the model (Χ2 change= 30.528, df = 1, p < 0.001). Additionally, when incorporated into the model created in block one, the odds of suffering a LE injury during the study period were 1.98 times greater for individuals with a history of injury (OR = 1.98, 95% CI = 1.56, 2.50, p < 0.001). CONCLUSION: Including injury history may significantly improve the ability to predict adolescent athletes’ MSK injury risk." @default.
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• W2537436402 date "2016-05-01" @default.
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• W2537436402 title "Injury History Predicts Musculoskeletal Lower Extremity Injury Risk in High School Athletes" @default.
• W2537436402 doi "https://doi.org/10.1249/01.mss.0000485118.85547.4b" @default.
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