OBJECTIVE: To examine sociodemographic risk factors for sport injury in adolescents. METHODS: This is a cross-sectional survey design in which a random sample of high school students (ages 14-19) completed an in-class survey (N = 2721). Students were asked questions regarding sociodemographic factors, sport participation, and sport injury in the past year. RESULTS: The incidence proportion of self-reported and medically treated sports injury, adjusting for the clustering effect of school, was 67.5 (95% CI; 64.2-71.1) and 43.2 (95% CI; 40.4-46.3) per 100 adolescents per year, respectively. Students from small towns had a lower risk of injury than those in the larger urban center (ORadjusted = 0.76, 95% CI 0.63-0.92). Non-Caucasian students had a lower risk of injury than did Caucasian students (ORadjusted = 0.63 (95% CI 0.5-0.79) for all sport injury and 0.57 (95% CI 0.47 - 0.7) for medically treated sport injury. Students with BMI in the 50th-90th percentiles had the greatest risk of sport injury. The risk of injury increased with weekly hours of participation. CONCLUSIONS: Location of residence, weekly exposure (participation hours), ethnicity, and BMI were simultaneous predictors of sport injuries in adolescents.
OBJECTIVE: To examine sociodemographic risk factors for sport injury in adolescents. METHODS: This is a cross-sectional survey design in which a random sample of high school students (ages 14-19) completed an in-class survey (N = 2721). Students were asked questions regarding sociodemographic factors, sport participation, and sport injury in the past year. RESULTS: The incidence proportion of self-reported and medically treated sports injury, adjusting for the clustering effect of school, was 67.5 (95% CI; 64.2-71.1) and 43.2 (95% CI; 40.4-46.3) per 100 adolescents per year, respectively. Students from small towns had a lower risk of injury than those in the larger urban center (ORadjusted = 0.76, 95% CI 0.63-0.92). Non-Caucasian students had a lower risk of injury than did Caucasian students (ORadjusted = 0.63 (95% CI 0.5-0.79) for all sport injury and 0.57 (95% CI 0.47 - 0.7) for medically treated sport injury. Students with BMI in the 50th-90th percentiles had the greatest risk of sport injury. The risk of injury increased with weekly hours of participation. CONCLUSIONS: Location of residence, weekly exposure (participation hours), ethnicity, and BMI were simultaneous predictors of sport injuries in adolescents.
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