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Vol. 43. Issue 157.
Pages 41-44 (January 2008)
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Vol. 43. Issue 157.
Pages 41-44 (January 2008)
Predicting sports injuries by means of mathematical models
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Antonio Fernández Martíneza, Juan Carlos de la Cruz Márquezb, Belén Cueto Martínb, Santiago Salazar Alonsoc, Juan Carlos de la Cruz Camposb
a Universidad Pablo de Olavide. Facultad del Deporte. Departamento de Educación Física. Sevilla. España.
b Universidad de Granada. Facultad de Ciencias de la Actividad Física y el Deporte. Departamento de Educación Física. Granada. España.
c Instituto Vicente Espinel. Junta de Andalucía. Consejería de Educación. Málaga. España.
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Abstract
Statistics
Sports injuries affecting the lower extremities in high impact sports, such as athletics or basketball, can be predicted by means of logistic regression equations. The first injury score was described by Shambaugh in 1991, using imbalance in bilateral weight and deviation of the Q-angle of the quadriceps as dependent variables. Salazar (2000) developed a mathematical equation to predict lesions based on Shambaugh's score and constructed through logistic regression analysis, while Fernández (2004) introduced thigh thickness as a transcendence variable in the prediction of injuries, leading to a more precise equation. These investigations show that logistic regression analysis can be a valid method for discriminating among anthropometric parameters related to sports injuries, providing a simple and reliable method that could be used in the routine practice of sports medicine.

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