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预防医学  2025, Vol. 37 Issue (8): 767-772    DOI: 10.19485/j.cnki.issn2096-5087.2025.08.003
  论著 本期目录 | 过刊浏览 | 高级检索 |
浙江省城乡居民道路交通伤害特征分析
郑琦1, 郭丽花2, 赵鸣2, 林静静2, 钟节鸣2
1.杭州医学院公共卫生学院,浙江 杭州 310053;
2.浙江省疾病预防控制中心,浙江 杭州 310051
Characteristics of road traffic injuries among urban and rural residents in Zhejiang Province
ZHENG Qi1, GUO Lihua2, ZHAO Ming2, LIN Jingjing2, ZHONG Jieming2
1. School of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang 310053, China;
2. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
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摘要 目的 了解浙江省城乡居民道路交通伤害特征,为制定道路交通伤害防控策略提供依据。方法 2023年4月,采用多阶段分层随机抽样方法抽取浙江省13个县(市、区)常住居民为调查对象,采用问卷调查收集基本信息和过去12个月内道路交通伤害情况;分析道路交通伤害发生率和城乡居民道路交通伤害特征。结果 调查36 980人,其中男性18 327人,占49.56%,女性18 653人,占50.44%。年龄MQR)为56.00(28.00)岁。道路交通伤害发生442人次,道路交通伤害发生率为1.20%;农村发生率为1.33%,高于城市的1.05%(P<0.05);道路交通伤害发生率随年龄增长而上升,随文化程度升高而下降(均P<0.05)。道路交通伤害发生地点以街道/城区为主,占59.28%;其中城市以街道/城区为主,占76.84%;农村以街道/城区和城际间公路为主,分别占46.03%和40.48%;城乡道路交通伤害发生地点构成差异有统计学意义(P<0.05)。处理方式以门诊/急诊为主,占61.99%;城乡道路交通伤害处理方式比例差异有统计学意义(P<0.05)。67.87%道路交通伤害病例驾乘电动自行车,54.29%驾乘机动车使用安全带;城乡道路交通伤害中交通工具构成、使用安全带比例差异无统计学意义(均P>0.05)。伤害部位以下肢为主,占42.31%;伤害严重程度以轻度为主,占50.90%;结局以痊愈为主,占69.68%;休息时间MQR)为13.50(27.25)d;医疗费用MQR)为1 200.00(5 700.00)元;城乡道路交通伤害部位、伤害严重程度、结局、休息时间和医疗费用差异无统计学意义(均P>0.05)。结论 浙江省农村、老年人和低文化程度居民道路交通伤害发生率较高,建议优化街道/城区和城际间公路交通安全设施,重点防控电动自行车道路交通伤害,强化重点人群安全教育,提高安全装置使用率。
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郑琦
郭丽花
赵鸣
林静静
钟节鸣
关键词 道路交通伤害伤害发生地点电动自行车伤害部位伤害严重程度    
AbstractObjective To analyze the characteristics of road traffic injuries (RTI) among urban and rural residents in Zhejiang Province, so as to provide a basis for developing targeted RTI prevention and control strategies. Methods In April 2023, permanent residents from 13 counties (cities, districts) in Zhejiang Province were selected using a multistage stratified random sampling method. Basic information and RTI occurrences within the past 12 months were collected through questionnaire surveys. RTI incidence and characteristics of RTI among urban and rural residents were analyzed. Results A total of 36 980 individuals were surveyed, including 18 327 males (49.56%) and 18 653 females (50.44%). The median age was 56.00 (interquartile range, 28.00) years. There were 442 person-times of RTI, with an incidence of 1.20%. The rural incidence was significantly higher than the urban (1.33% vs. 1.05%, P<0.05). The incidence of RTI increased with age and decreased with higher educational attainment (both P<0.05). The majority of RTI occurred on streets/urban areas, accounting for 59.28%. In urban, streets/urban areas were the primary locations, accounting for 76.84%. In rural, streets/urban areas and intercity highways were the main sites, accounting for 46.03% and 40.48%, respectively. There was a statistically significant difference in the composition of RTI locations between urban and rural (P<0.05). The primary treatment approach of RTI was outpatient/emergency care, accounting for 61.99%. There was a statistically significant difference in the proportion of treatment approaches of RTI between urban and rural (P<0.05). Electric bicycles were involved in 67.87% of RTI, and 54.29% of motor vehicle occupants used seat belts. No statistically significant differences were observed in the composition of transportation modes or seat belt usage rates between urban and rural (both P>0.05). The lower limb was the most commonly injured sites, accounting for 42.31%. Mild injury was predominant, accounting for 50.90%, and complete recovery was predominant outcome, accounting fo 69.68%. The median rest period was 13.50 (interquartile range, 27.25) days. The median medical expenses was 1 200.00 (interquartile range, 5 700.00) yuan. No statistically significant differences were observed between urban and rural in terms of injury sites, injury severity, outcome, rest period, or medical expenses (all P>0.05). Conclusions RTI incidence is higher among rural residents, the elderly, and lower education levels residents in Zhejiang Province. It is recommend optimizing road safety infrastructure on streets/urban areas and intercity highways, prioritizing prevention of electric bicycles RTI, strengthening safety education for high-risk population, and increasing the usage rate of safety devices.
Key wordsroad traffic injury    injury location    electric bicycle    injury site    injury severity
收稿日期: 2025-03-28      修回日期: 2025-07-14      出版日期: 2025-08-10
中图分类号:  R181.3  
基金资助:浙江省疾病预防控制科技计划项目(2025JK148)
作者简介: 郑琦,硕士研究生在读,公共卫生专业
通信作者: 钟节鸣,E-mail:jmzhong@cdc.zj.cn   
引用本文:   
郑琦, 郭丽花, 赵鸣, 林静静, 钟节鸣. 浙江省城乡居民道路交通伤害特征分析[J]. 预防医学, 2025, 37(8): 767-772.
ZHENG Qi, GUO Lihua, ZHAO Ming, LIN Jingjing, ZHONG Jieming. Characteristics of road traffic injuries among urban and rural residents in Zhejiang Province. Preventive Medicine, 2025, 37(8): 767-772.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.08.003      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I8/767
[1] World Health Organization.Global status report on road safety 2023[EB/OL].[2025-07-14].https://www.who.int/teams/social-determinants-of-health/safety-and-mobility/global-status-report-on-road-safety-2023.
[2] GBD 2021 Diseases and Injuries Collaborators.Global incidence,prevalence,years lived with disability(YLDs),disability-adjusted life-years(DALYs),and healthy life expectancy(HALE)for 371 diseases and injuries in 204 countries and territories and 811 subnational locations,1990-2021:a systematic analysis for the Global Burden of Disease Study 2021[J].Lancet,2024,403(10440):2133-2161.
[3] 吴静,周脉耕,苏雪梅,等.中国死因监测数据集2021[M].北京:中国科学技术出版社,2021.
WU J,ZHOU M G,SU X M,et al.China disease surveillance points 2021[M].Beijing:China Science and Technology Press,2021.(in Chinese)
[4] DUAN L L,YE P P,HAAGSMA J A,et al.The burden of injury in China,1990-2017:findings from the Global Burden of Disease Study 2017[J].Lancet Public Health,2019,4(9):449-461.
[5] FEI F R,ZHONG J M,YU M,et al.Impact of injury-related mortality on life expectancy in Zhejiang,China based on death and population surveillance data[J].BMC Public Health,2017,18(1):1-7.
[6] 郭丽花,尤柳青,赵鸣,等.1990—2019年浙江省道路交通伤害疾病负担变化趋势研究[J].疾病监测,2024,39(10):1357-1362.
GUO L H,YOU L Q,ZHAO M,et al.Trend of disease burden caused by road traffic injury in Zhejiang,1990-2019[J].Dis Surveill,2024,39(10):1357-1362.(in Chinese)
[7] 中华预防医学会伤害预防与控制分会.关于伤害界定标准的决定中华预防医学会伤害预防与控制分会第一届第五次常委会通过[J].中华疾病控制杂志,2011,15(1):9.
The Society for Injury Prevention and Control,Chinese Prevention Medicine Association.Decision on criteria for defining of injury Approved by The 5th Session of The First Standing Committee from The Society for Injury Prevention and Control of Chinese Preventive Medicine Association[J].Chin J Dis Control Prev,2011,15(1):9.(in Chinese)
[8] 许璐璐,黄文,黄敏钢,等.绍兴市中学生通校道路交通伤害现况调查[J].预防医学,2024,36(10):838-841.
XU L L,HUANG W,HUANG M G,et al.Road traffic injuries among middle school students commuting to school in Shaoxing City[J].China Prev Med J,2024,36(10):838-841.(in Chinese)
[9] 纪翠蓉,金叶,叶鹏鹏,等.2017年我国6个省份28个县(区)儿童道路交通伤害流行状况[J].中华流行病学杂志,2021,42(8):1407-1412.
JI C R,JIN Y,YE P P,et al.Prevalence and prevention of traffic injury among children in 28 counties of 6 provinces in China,2017[J].Chin J Epidemiol,2021,42(8):1407-1412.(in Chinese)
[10] 赵鸣,郭丽花,钟节鸣,等.浙江省社区居民道路交通伤害流行特征分析[J].国际流行病学传染病学杂志,2019,46(5):351-356.
ZHAO M,GUO L H,ZHONG J M,et al.Epidemiological characteristics of road traffic injuries among community residents in Zhejiang Province[J].Int J Epidemiol Infect Dis,2019,46(5):351-356.(in Chinese)
[11] 龚家辉,马剑平,彭晓琳,等.深圳市南山区成人居民伤害流行现况分析[J].伤害医学(电子版),2020,9(2):14-17.
GONG J H,MA J P,PENG X L,et al.An epidemiological study of injury among adult residents in Nanshan district of Shenzhen[J].Inj Med(Electron Ed),2020,9(2):14-17.(in Chinese)
[12] 王庆瑜,李璇,刘国栋.2004—2018年中国不同年龄段人群道路交通伤害发展趋势分析[J].中华创伤杂志,2022,38(2):166-171.
WANG Q Y,LI X,LIU G D.Trends in road traffic injuries among different age groups in China from 2004 to 2018[J].Chin J Traumatol,2022,38(2):166-171.(in Chinese)
[13] 刘胜,曾红霞,吴正福,等.常山县电动自行车道路交通伤害病例特征分析[J].预防医学,2019,31(7):666-668,672.
LIU S,ZENG H X,WU Z F,et al.Characteristics of road traffic injury cases caused by electric bicycles in Changshan County[J].China Prev Med J,2019,31(7):666-668,672.(in Chinese)
[14] 张爽,张辉,王卓,等.天津市2000—2019年道路交通伤害死亡趋势分析[J].中华流行病学杂志,2021,42(11):2018-2023.
ZHANG S,ZHANG H,WANG Z,et al.Trends in road traffic injury mortality in Tianjin from 2000 to 2019[J].Chin J Epidemiol,2021,42(11):2018-2023.(in Chinese)
[15] 喻彦,徐乃婷,刘静红,等.2017—2020年上海市道路交通伤害住院费用研究[J].上海预防医学,2024,36(7):686-691.
YU Y,XU N T,LIU J H,et al.Hospitalization costs of road traffic injuries in Shanghai from 2017 to 2020[J].Shanghai J Prev Med,2024,36(7):686-691.(in Chinese)
[16] 黄悦波. 我国大都市电动自行车使用的问题与对策研究——以北京市为例[J].中国国情国力,2023,(11):62-65.
HUANG Y B.Problems and countermeasures of electric bicycle use in Chinese metropolises:a case study of Beijing[J].China Natl Cond Strength,2023,(11):62-65.(in Chinese)
[17] HASJIM B J,GRIGORIAN A,SCHUBL S D,et al.Helmets protect pediatric bicyclists from head injury and do not increase risk of cervical spine injury[J].Pediatr Emerg Care,2022,38(1):360-364.
[18] 郭丽花,钟节鸣,李娜,等.机动车驾驶员夜间驾驶不合理使用远光灯行为观察[J].预防医学,2021,33(8):784-788.
GUO L H,ZHONG J M,LI N,et al.The unreasonable use of high beam at nighttime among motor vehicle drivers[J].China Prev Med J,2021,33(8):784-788.(in Chinese)
[19] 闫帅. GIS在我国中心城市产科床位资源配置和利用以及影响因素分析中的应用[D].北京:中国疾病预防控制中心,2018.
YAN S.Application of GIS in allocation and utilization of obstetric bed resources in central cities of China and analysis of influencing factors[D].Beijing:Chinese Center for Disease Control and Prevention,2018.(in Chinese)
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