ABSTRACT
Objectives: To acquire the disease rules and characters of the athletes, analyze the influencing factors of traumatic injury. Methods: Five hundred ten valid cases from July 2017 to September 2017 were classified according to the International Classification of Diseases (ICD-10); a binary logistic regression model was performed to analyse the influencing factors of traumatic injury. Results: Among the 14 disease classifications, traumatic injuries accounted for the largest number, with significant differences by sex, competition venue, and competition event (P<0.05). Sex and competition events were risk factors for traumatic injury (OR>1). In particular, athletes participating in ball games were more likely to experience traumatic injury than those participating in nonball games. Conclusions: It is necessary to implement differentiated allocation of medical resources for different competition events, achieve a balance between supply and demand; take intervention measures to reduce risk factors. This can be a basis for subsequent mass gatherings in the context of the COVID-19 epidemic and disease prevention through establishing an emergency medical security system.