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朱嘉辉, 温莹, 余淑苑, 祝方, 郭寅生, 程锦泉. 深圳市2013 — 2017年120急救交通伤害流行病学特征分析[J]. 中国公共卫生, 2019, 35(10): 1424-1427. DOI: 10.11847/zgggws1124053
引用本文: 朱嘉辉, 温莹, 余淑苑, 祝方, 郭寅生, 程锦泉. 深圳市2013 — 2017年120急救交通伤害流行病学特征分析[J]. 中国公共卫生, 2019, 35(10): 1424-1427. DOI: 10.11847/zgggws1124053
Jia-hui ZHU, Ying WEN, Shu-yuan YU, . Characteristics of road traffic injuries in Shenzhen city, 2013 – 2017: analysis on 120 emergency call data[J]. Chinese Journal of Public Health, 2019, 35(10): 1424-1427. DOI: 10.11847/zgggws1124053
Citation: Jia-hui ZHU, Ying WEN, Shu-yuan YU, . Characteristics of road traffic injuries in Shenzhen city, 2013 – 2017: analysis on 120 emergency call data[J]. Chinese Journal of Public Health, 2019, 35(10): 1424-1427. DOI: 10.11847/zgggws1124053

深圳市2013 — 2017年120急救交通伤害流行病学特征分析

Characteristics of road traffic injuries in Shenzhen city, 2013 – 2017: analysis on 120 emergency call data

  • 摘要:
      目的  分析广东省深圳市2013 — 2017年120急救交通伤害的分布特征,为深圳市开展道路交通伤害的预防提供依据。
      方法  收集2013 — 2017年深圳市120急救接报的交通事故伤害及人口、车辆数据,对相关信息进行整理归类,运用描述性流行病学的方法,分析交通伤害的发生趋势、性别年龄分布、时间地区分布及受伤部位分布。
      结果  5年间深圳市120急救中心共接报并出动救援交通事故伤者33 174例,呈波动性递增趋势,2017年发生例数最多,共7 119例(21.46 %);不同年份每万辆车和每万人交通伤发生率均不同,且呈波动性递减趋势,差异有统计学意义(χ2分别为427.6和242.3,P < 0.001);交通伤害发生以2月份最少,其他月份变化不大;高发时段为7 : 00~9 : 00、11 : 00~13 : 00及15 : 00~18 : 00;发生地区以坪山区交通伤者最少,宝安区最多;各地区每万人交通伤发生率不同,大鹏新区最高,南山区最低,差异有统计学意义(χ2 = 11 367.6,P < 0.001);男性为主(68.27 %),男女比例为2.15 : 1;高发年龄段为20~30岁;受伤类型主要为多发伤(89.46 %)。
      结论  深圳市交通伤呈波动性增长趋势,但每万辆车及每万人交通伤发生率呈下降趋势,青壮年男性为高发人群,主要集中在上下班高峰时段。

     

    Abstract:
      Objective  To analyze the distribution characteristics of road traffic injuries (RTIs) registered by 120 emergency service system in Shenzhen city from 2013 to 2017 and to provide evidences for prevention of RTIs in the city.
      Methods  We collected data on RTIs registered by 120 emergency service system in Shenzhen city from 2013 to 2017 and on demographics and motor vehicle traffic during the same period; we sorted and classified the raw data collected and other relevant information and analyzed the processed data by spatial and temporal distribution and victims' gender, age, and injury type using descriptive epidemiology methods.
      Results  During the 5-five year period, totally 33 174 RTIs were registered by the 120 emergency service system in the city, with 7 119 cases (21.46% of all registered) in 2017. The RTIs incidence rate per 10 000 vehicles and per 10 000 population differed significantly by year (χ2 = 427.6 and χ2 = 242.3, both P < 0.001). The monthly incidence of the injuries was the lowest in February and showed no obvious fluctuation in other months in a year. More injuries occurred during the hours between 7 : 00 – 9 : 00, 11 : 00 – 13 : 00 and 15 : 00 – 18 : 00 in a day. The registered RTIs incidence rate was the lowest in Pingshan district and the highest in Baoan district and there was a significantly regional difference in RTIs incidence per 10 000 population, with the highest in Dapeng New District and the lowest in Nanshan district (χ2 = 11 367.6, P < 0.001). The majority of the victims of the registered RTIs were males (68.27%) and the male to female ratio of the victims was 2.15 : 1. A higher RTIs incidence rate was observed in the population aged 20 – 30 years and the most (89.46%) of the registered RTIs were multiple injuries.
      Conclusion  In Shenzhen city during 2013 – 2017, the number of road traffic injuries increased but the incidence of the injuries per 10 000 vehicles and per 10 000 population decreased; more injuries occurred in rush hours in a day and the majority of the injury victims were young and middle-aged men.

     

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