Please wait a minute...
文章检索
预防医学  2026, Vol. 38 Issue (8): 772-775,780    DOI: 10.19485/j.cnki.issn2096-5087.2026.08.004
  论著 本期目录 | 过刊浏览 | 高级检索 |
中学生道路交通伤害综合干预效果评价
黄润平1, 钟训富1, 周小华2, 周静3
1.成都市武侯区疾病预防控制中心,四川 成都 610041;
2.德阳市旌阳区疾病预防控制中心,四川 德阳 618000;
3.四川省疾病预防控制中心,四川 成都 610041
Effect of comprehensive intervention on road traffic injuries among middle school students
HUANG Runping1, ZHONG Xunfu1, ZHOU Xiaohua2, ZHOU Jing3
1. Wuhou District Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China;
2. Jingyang District Center for Disease Control and Prevention, Deyang, Sichuan 618000, China;
3. Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
全文: PDF(937 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 评价综合干预措施对中学生道路交通伤害发生率和道路交通行为的干预效果,为优化中学生道路交通伤害防控策略提供依据。方法 采用社区类试验设计,以成都市武侯区为干预区,德阳市旌阳区为对照区;采用分层整群随机抽样方法,在干预区和对照区各随机抽取6所和5所中学的在校学生为研究对象。于2024年6月通过问卷调查收集人口学信息、过去12个月道路交通伤害发生情况和骑行、乘车、步行等道路交通行为;2024年9月—2025年8月实施干预措施,对照组实施常规交通安全教育,干预组在此基础上实施多部门协作、参与式安全教育和校园周边交通环境改善的综合干预措施;2025年9月开展终末调查。采用双重差分(DID)模型评估干预效果。结果 基线调查中学生7 917人,其中干预组5 267人,对照组2 650人;终末调查中学生9 171人,其中干预组4 908人,对照组4 263 人。DID分析结果显示,干预组道路交通伤害发生率从2.28%下降至2.18%,对照组从2.42%上升至4.55%,组间与时间交互效应有统计学意义(DID=-0.021,P<0.05)。骑行行为中,骑无安全装置车辆(DID=-0.045)、骑电动自行车时佩戴头盔(DID=0.075)、未注意与大货车保持安全距离(DID=-0.056)和转弯时未减速慢行(DID=-0.049)的组间与时间交互效应有统计学意义(均P<0.05);乘车行为中,乘电动自行车或摩托车时佩戴头盔(DID=0.117)、使用安全带(DID=0.048)的组间与时间交互效应有统计学意义(均P<0.05);步行行为中,不看红绿灯或随意横穿马路(DID=-0.024)、夜间出行未穿戴反光设备(DID=-0.040)的组间与时间交互效应有统计学意义(均P<0.05)。结论 综合干预措施可降低中学生道路交通伤害发生率,减少骑行、乘车和步行危险交通行为,提高安全交通行为。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
黄润平
钟训富
周小华
周静
关键词 道路交通伤害道路交通行为中学生双重差分模型    
AbstractObjective To evaluate the intervention effects of comprehensive interventions on the incidence of road traffic injuries and road traffic behaviors among middle school students, so as to provide evidence for optimizing the prevention and control strategies of road traffic injuries in this population. Methods A community-based trial design was adopted, with Wuhou District of Chengdu City as the intervention area and Jingyang District of Deyang City as the control area. Using stratified cluster random sampling, students from 6 middle schools in the intervention area and 5 middle schools in the control area were randomly enrolled as research subjects. In June 2024, questionnaires were used to collect the demographic information, incidence of road traffic injuries in the past 12 months and road traffic behaviors, including cycling, riding and walking. Routine traffic safety education was implemented in the control group, while a comprehensive intervention including multi-department collaboration, participatory safety education and improvement of the traffic environment around campuses was carried out in the intervention group from September 2024 to August 2025. A terminal survey was performed in September 2025. The difference-in-differences (DID) model was used to evaluate the intervention effect. Results A total of 7 917 middle school students were included in the baseline survey, with 5 267 students in the intervention group and 2 650 students in the control group. A total of 9 171 students were enrolled in the terminal survey, including 4 908 students in the intervention group and 4 263 students in the control group. DID analysis showed that the incidence of road traffic injuries decreased from 2.28% to 2.18% in the intervention group, while it increased from 2.42% to 4.55% in the control group, and the group-time interaction effect was statistically significant (DID=-0.021, P<0.05). In terms of cycling behaviors, significant group-time interaction effects were observed in riding vehicles without safety devices (DID=-0.045, P<0.05), wearing helmets when riding electric bicycles (DID=0.075, P<0.05), failing to keep a safe distance from large trucks (DID=-0.056, P<0.05), and failing to slow down when turning (DID=-0.049, P<0.05). For riding behaviors, wearing helmets when riding electric bicycles or motorcycles (DID=0.117) and wearing seat belts (DID=0.048) had statistically significant group-time interaction effects (both P<0.05). In terms of walking behaviors, jaywalking without observing traffic lights (DID=-0.024) and traveling at night without wearing reflective equipment (DID=-0.040) showed significant group-time interaction effects (both P<0.05). Conclusion Comprehensive interventions were effective in reducing the incidence of road traffic injuries and decreasing risky traffic behaviors related to cycling, riding in vehicles, and walking, while also promoting safe traffic behaviors among middle school students.
Key wordsroad traffic injury    road traffic behavior    middle school students    difference-in-differences model
收稿日期: 2026-05-22      修回日期: 2026-07-31      出版日期: 2026-08-10
中图分类号:  R128  
基金资助:联合国儿童基金会支持项目(中国西部儿童道路安全项目)
作者简介: 黄润平,硕士,主管医师,主要从事学校卫生与伤害监测工作,E-mail:1361241113@qq.com
引用本文:   
黄润平, 钟训富, 周小华, 周静. 中学生道路交通伤害综合干预效果评价[J]. 预防医学, 2026, 38(8): 772-775,780.
HUANG Runping, ZHONG Xunfu, ZHOU Xiaohua, ZHOU Jing. Effect of comprehensive intervention on road traffic injuries among middle school students. Preventive Medicine, 2026, 38(8): 772-775,780.
链接本文:  
https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2026.08.004      或      https://www.zjyfyxzz.com/CN/Y2026/V38/I8/772
[1] World Health Organization.Global status report on road safety 2023[R/OL].[2026-07-31].https://www.who.int/teams/social-determinants-of-health/safety-and-mobility/global-status-report-on-road-safety-2023.
[2] 中国疾病预防控制中心慢性非传染性疾病预防控制中心,国家卫生健康委统计信息中心.中国死因监测数据集2021[M].北京:中国科学技术出版社,2022.
[3] 钟爱华,徐兰兰,陈远峰,等.2013—2023年广东省深圳市某区道路交通伤害死亡监测分析[J].疾病监测,2025,40(11):1479-1484.
[4] 许璐璐,黄文,黄敏钢,等.中学生道路交通伤害影响因素及主要行为因素间的交互作用[J].中华疾病控制杂志,2024,28(10):1124-1129,1228.
[5] 中华人民共和国国务院妇女儿童工作委员会.中国儿童发展纲要(2021—2030年)[EB/OL].[2026-07-31].https://www.nwccw.gov.cn/2021/09/27/99338976.html.
[6] 李艺扬,邓晓,汤表倩,等.中国西部中学生道路危险行为倾向评估工具及指标权重研究[J].中国学校卫生,2024,45(9):1304-1308.
[7] 中华人民共和国国家卫生健康委员会.卫生部疾病预防控制局关于印发伤害干预系列技术指南的通知[EB/OL].[2026-07-31].https://www.nhc.gov.cn/zwgk/wtwj/201304/729e74b51ab5434c965ec03164eca46d.shtml.
[8] GB/T 31180—2014 儿童青少年伤害监测方法[S].
[9] Wang G Y,Hamad R,White J S.Advances in difference-in-differences methods for policy evaluation research[J].Epidemiology,2024,35(5):628-637.
[10] 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.
[11] 王浩,俞敏,胡如英,等.浙江省中学生交通伤害相关行为调查[J].伤害医学(电子版),2012,1(2):29-32.
[12] 中华人民共和国公安部.公安部交管局部署“一盔一带”安全守护行动[EB/OL].[2026-07-31].https://www.mps.gov.cn/n2254314/n2254487/c7228764/content.html.
[13] Wang H R,Chen Y,Wang A N,et al.Improving children's traffic safety from a safety literacy perspective:a randomized trial[J].J Saf Res,2025,93:255-265.
[14] 华钰洁,王临池,陆艳,等.苏州市电动自行车骑乘人员违法行为路边观测研究[J].中国预防医学杂志,2023,24(7):718-721.
[15] 郭珈彤,郑娜,孙龙.同伴影响和中学生道路危险行为的关系:风险感知的调节作用[J].人类工效学,2025,31(3):49-53,58.
[16] 何宝华,周晓红,席胜军,等.下城区中小学生道路交通安全知信行调查[J].预防医学,2019,31(9):877-881.
[17] Kang L,Vij A,Hubbard A,et al.The unintended impact of helmet use on bicyclists' risk-taking behaviors[J].J Saf Res,2021,79:135-147.
[18] Von Beesten S,Bresges A,Lubert D.Effectiveness of educational interventions in minimizing reactance in traffic accident prevention[J/OL].Front Educ,2024,8[2026-07-31].http://doi.org/10.3389/feduc.2023.1276380.
[1] 冯金梦, 王浩, 李娜, 戴品远, 周晓燕, 钟节鸣. 中学生耳机使用与焦虑症状的关系研究[J]. 预防医学, 2026, 38(7): 661-665.
[2] 李晨, 王勇, 俞明芳, 郑添, 王蒙. 中学生抑郁焦虑症状与自杀意念或行为的关联分析[J]. 预防医学, 2026, 38(6): 610-613.
[3] 孟祥杰, 唐崟, 寿钧, 孙明希, 张钰. 余杭区中学生结核分枝杆菌潜伏感染调查[J]. 预防医学, 2026, 38(5): 456-459,463.
[4] 倪俊煜, 杨云娟. 中学生非故意伤害现况及影响因素分析[J]. 预防医学, 2026, 38(5): 464-467,472.
[5] 李慧瑜, 杨云娟. 中学生抑郁焦虑症状共患的预测模型构建[J]. 预防医学, 2026, 38(4): 367-371.
[6] 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.
[7] 王海琪, 张涵潇, 杨凤云, 国献丽, 范生荣, 张丽锋, 蒋泓. 嘉定区中学生抑郁情绪调查[J]. 预防医学, 2025, 37(8): 832-836.
[8] 梁茵茵, 袁瑞, 刘光涛, 李辉, 付云. 湖州市中学生抑郁症状现况调查[J]. 预防医学, 2025, 37(6): 622-627,631.
[9] 蒋安然, 朱煜典, 鲁芬, 方大春, 翟光富. 膳食行为与中学生超重肥胖的关联研究[J]. 预防医学, 2025, 37(4): 341-345.
[10] 胡晓凤, 刘力勇, 马石头, 刘高山, 安欣华. 石景山区中学生吸烟态度和行为调查[J]. 预防医学, 2025, 37(4): 421-424.
[11] 段文静, 谢煜相, 羊姝, 崔依婷, 彭爱, 黄鹏. 中学生非自杀性自伤风险的潜在剖面分析[J]. 预防医学, 2025, 37(2): 118-122.
[12] 见明智, 鲁迪, 蒋婷婷, 陈洁. 中学生电子烟尝试使用的影响因素分析[J]. 预防医学, 2025, 37(2): 208-211,216.
[13] 黄健玲, 曾静, 罗锐, 顾菁. 职业高中学生电子烟使用及尝试意愿调查[J]. 预防医学, 2025, 37(2): 201-207.
[14] 王婷婷, 汪剡灵, 杨玉婷, 王静夷, 陈潇潇. 台州市中学生心理健康素养调查[J]. 预防医学, 2024, 36(9): 821-824.
[15] 孙强, 李小勇, 龚清海, 潘文杰, 黄艳. 中学生健康危险行为潜在类别与抑郁症状的关联分析[J]. 预防医学, 2024, 36(6): 474-478.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed