Abstract
孙倩男,王巍巍,陈一佳,洪忻,周海茸,王琛琛,周金意,杜文聪.江苏省2006-2022年老年人伤害流行特征和变化趋势[J].Chinese journal of Epidemiology,2024,45(8):1112-1119
江苏省2006-2022年老年人伤害流行特征和变化趋势
Trends and characteristics of injuries among the elderly in Jiangsu Province from 2006 to 2022
Received:February 02, 2024  
DOI:10.3760/cma.j.cn112338-20240202-00058
KeyWord: 老年人  伤害  年变化百分比
English Key Word: Elderly  Injury  Annual percent change
FundProject:江苏省“十四五”流行病学重点学科(ZDXK202250)
Author NameAffiliationE-mail
Sun Qiannan Department of Non-communicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China  
Wang Weiwei Department of Non-communicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China  
Chen Yijia Department of Non-communicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China  
Hong Xin Department of Non-communicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China  
Zhou Hairong Department of Non-communicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China  
Wang Chenchen Department of Non-communicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China  
Zhou Jinyi Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China  
Du Wencong Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China duwencong1002@163.com 
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Abstract:
      目的 了解2006-2022年江苏省老年人伤害的流行特征和变化趋势,为制定老年人伤害预防控制措施提供科学依据。方法 利用江苏省12家伤害监测哨点医院收集2006-2022年≥60岁老年人伤害病例信息。对全人群伤害病例老年人构成比进行趋势分析,计算年变化百分比和平均年变化百分比(AAPC)。同时进行组间两两比较,并根据调整后的标化残差判断各组的差异。结果 2006-2022年江苏省≥60岁老年人伤害病例共218 426例,占全人群伤害病例的比例呈上升趋势(AAPC=3.17%,P<0.001)。伤害发生原因前5位分别是跌倒/坠落(42.06%)、道路交通伤害(20.20%)、动物伤(11.45%)、刀/锐器伤(9.43%)、钝器伤(8.13%)。2006-2022年,≥60岁老年人发生跌倒/坠落、动物伤、刀/锐器伤呈上升趋势,道路交通伤害、钝器伤呈下降趋势(均P<0.001)。老年人伤害发生在10月最多,高峰时间段是08:00~10:00。伤害发生时活动主要是休闲活动(40.34%)。伤害发生地点主要在家中(53.74%),伤害意图以非故意伤害为主(97.41%),呈上升趋势(P<0.001)。伤害性质以挫伤/擦伤(36.00%)为主,伤害部位较多发生在下肢(27.55%),呈下降趋势(P<0.001)。伤害病例严重程度以轻度为主(69.80%),伤害结局以处理后离院(79.38%)为主,呈上升趋势(P<0.001)。结论 2006-2022年江苏省≥60岁老年人的伤害监测数据显示出不同程度的变化趋势,老年人伤害病例占全人群伤害病例的比例呈上升趋势,伤害发生原因中跌倒/坠落、动物伤、刀/锐器伤均呈上升趋势,应根据流行特征和变化趋势积极制定预防措施。
English Abstract:
      Objective To understand the epidemiological characteristics and trends of injury in older adults in Jiangsu Province from 2006 to 2022 and provide a scientific basis for developing prevention and control measures. Methods The data on injury cases aged 60 and older were collected from 12 sentinel hospitals in Jiangsu Province during 2006-2022. The study analyzed the proportion of injury cases among the elderly in the overall population and calculated the annual percent change and average annual percent change (AAPC). A pairwise comparison between groups was performed, and the differences were judged according to the adjusted standardized residuals.Results From 2006 to 2022, there were 218 426 injury cases among individuals aged 60 and older in Jiangsu Province, which accounted for an increasing proportion of injury cases within the entire population (AAPC=3.17%, P<0.001). The first five causes of elderly injury were falls (42.06%), road traffic injuries (20.20%), animal injuries (11.45%), knife/sharp injuries (9.43%), and blunt injuries (8.13%). From 2006 to 2022, the proportion of falls, animal injuries, and knife/sharp injuries among the elderly aged ≥60 showed an increasing trend, while the proportion of road traffic injuries and blunt injuries decreased (all P<0.001). The incidence of injury was highest in October, with a daily incidence peak between 8:00 and 10:00. Leisure activities (40.34%) were the major activity leading to injury. The injury occurred mainly at home (53.74%), and the injury intention was mainly unintentional (97.41%), all of which showed an increasing trend (P<0.001). The injuries were mainly bruises (36.00%), and the most common injured positions of the body were low limbs (27.55%), all of which showed a decreasing trend (P<0.001). About 69.80% of cases were slight, and 79.38% were discharged after treatment, which showed an increasing trend (P<0.001). Conclusions The injury data for individuals aged 60 and older in Jiangsu Province exhibited varying trends from 2006 to 2022. There was a noticeable increase in the proportion of elderly injury cases within the overall injury population, as well as an upward trend in falls, animal injuries, and knife/sharp injuries as leading causes of injury. It is imperative to actively develop prevention measures based on the epidemiological characteristics and evolving trends of elderly injuries in Jiangsu Province.
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