谷歌浏览器插件
订阅小程序
在清言上使用

Epidemiology of Sports-Related Sudden Death in Guangdong Province

Fayixue Zazhi(2022)

引用 0|浏览15
暂无评分
摘要
OBJECTIVES:By retrospective study of the epidemiological characteristics of sports-related sudden death (SrSD), the risk factors associated with SrSD were analyzed and explored to provide a scientific basis for comprehensive prevention and treatment of SrSD.METHODS:The personal information (sex, age, occupation, etc.), case information (time, place, type of sports, relative time between SrSD occurrence and exercise, etc.), death related information (sign or prodrome, medical history and surgical history, etc.), rescue situation (witnesses, on-site assistance, the availability of paramedics, etc.) of 374 SrSD cases in Guangdong Province from 2017 to 2021 were collected. Statistical analysis was conducted aiming at the key factors.RESULTS:In the 374 cases, there were significantly more males than females (19.78:1); the number of people aged between >39 and 59 was the largest (151, 40.37%); non-manual workers (68.98%) were more than manual workers; the top three sports with the highest number cases were basketball (34.49%), running (19.52%) and badminton (12.03%); from 3 pm to 9 pm (63.10%) was the time period with the highest incidence of events; sudden death mainly occurred during exercise (75.27%) and within 1 h after exercise (20.05%); the on-site rescue rate was very low (6.15%); the rate of autopsies was extremely low (1.07%); sudden cardiac death was the most common cause (67.11%).CONCLUSIONS:SrSD is most common in males aged >39 to 59 years old, mostly in non-manual workers, and usually occurs in basketball and running. Sudden death is more likely to occur during exercise and within 1 h after exercise. Therefore, the above potential risk factors should be focused on and studied in daily comprehensive prevention and treatment to provide scientific basis for accurate prevention and first aid of such sudden death.
更多
查看译文
关键词
forensic pathology,sport-related sudden death,epidemiologic study,risk factor,preventive measure,guangdong
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要