Mathematical modeling for prediction and prevention of sports injuries
DOI:
https://doi.org/10.47197/retos.v0i39.81315Keywords:
Injuries, prediction, mathematical models, epidemiology, ShambaughAbstract
Abstract. The prediction of sports injuries using mathematical models provides coaches and athletes with information and tools for their prevention. By knowing where and/or when physical problems may arise in athletes, we can try to prevent them from appearing through strategies such as the modification of training plans and/or workout intensity, the preventive treatment of possible future injuries, etc. In this paper a systematic literature review was carried out to establish if the use of mathematical models for prediction of injuries is a valid method to be used in sports practice as a preventive measure. It is concluded that the logistic regression equations developed to date do not have in consideration all the variables that influence the appearance of injuries, such as psychological variables and external factors that affect the athlete’s vulnerability. Therefore, it is proposed to make new formulas that include more causal factors of these, in addition to the creation of computer applications that apply these equations in order to facilitate the work of the sports specialist.
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