Analysis of case characteristics of physical assault injuries surveillance among students in Dalian,2018-2020
Objective To understand the epidemiological characteristics of physical assault injuries among students in Dalian,so as to provide evidence for the prevention and control of physical assault injuries among students.Methods Data of student phys-ical assault injuries came from the Dalian Hospital Injury Monitoring System from 2018 to 2022,descriptive epidemiological methods and Chi-square tests were used for statistical analysis.Results A total of 1 413 cases of physical assault injuries among students were reported,and the sex ratio between male and female was 4.12∶1.The number of reported physical assault injuries dropped from 414 cases in 2018 to 209 cases in 2022.The group of senior middle school/secondary vocational school had the highest propor-tion of cases(40.13％).Injuries occurred in all months,with the highest number of reported cases in June,October,and Novem-ber,accounting for 33.97％.The main causes of injuries were blunt instrument injuries and falls,accounting for 70.06％and 23.35％respectively.The proportion of male(71.24％)was significantly higher than female(65.22％)in blunt instrument injuries(x2=3.84,P＜0.05).Nearly 75.58％of injuries occurred during leisure time.The main locations of injuries took place in schools and roads,accounting for 51.52％and 23.35％respectively.Contusions and sharp instrument injuries were one of the most common types of injuries,accounting for 67.16％and 22.29％respectively.The main area of injury was concentrated in the head,account-ing for 59.52％.Most of injuries were mild and moderate,accounting for 72.26％and 27.60％,respectively.Conclusions Schools are the main location for physical assault injuries among students,with boys and middle school students being the most vulnerable populations.Targeted intervention measures should be implemented to effectively reduce the occurrence of physical assault injuries among students.
ViolenceWounds and injuriesPopulation surveillanceStudents
NETL
NSTL
万方数据
