Rockett Ian R H, Jiang Shuhan, Yang Qian, Yang Tingzhong, Yang Xiaozhao Y, Peng Sihui, Yu Lingwei
a Department of Epidemiology, School of Public Health , West Virginia University , Morgantown , West Virginia.
b Injury Control Research Center , West Virginia University , Morgantown , West Virginia.
Traffic Inj Prev. 2017 Aug 18;18(6):623-630. doi: 10.1080/15389588.2017.1291937. Epub 2017 Feb 16.
This study estimated the prevalence of road traffic injury among Chinese urban residents and examined individual and regional-level correlates.
A cross-sectional multistage process was used to sample residents from 21 selected cities in China. Survey respondents reported their history of road traffic injury in the past 12 months through a community survey. Multilevel, multivariable logistic regression analysis was used to identify injury correlates.
Based on a retrospective 12-month reporting window, road traffic injury prevalence among urban residents was 13.2%. Prevalence of road traffic injury, by type, was 8.7, 8.7, 8.5, and 7.7% in the automobile, bicycle, motorcycle, and pedestrian categories, respectively. Multilevel analysis showed that prevalence of road traffic injury was positively associated with minority status, income, and mental health disorder score at the individual level. Regionally, road traffic injury was associated with geographic location of residence and prevalence of mental health disorders.
Both individual and regional-level variables were associated with road traffic injury among Chinese urban residents, a finding whose implications transcend wholesale imported generic solutions. This descriptive research demonstrates an urgent need for longitudinal studies across China on risk and protective factors, in order to inform injury etiology, surveillance, prevention, treatment, and evaluation.
本研究估算了中国城市居民道路交通伤害的患病率，并探讨了个体及地区层面的相关因素。
采用横断面多阶段抽样方法，从中国21个选定城市中抽取居民作为样本。调查对象通过社区调查汇报了他们在过去12个月中的道路交通伤害史。采用多水平、多变量逻辑回归分析来确定伤害的相关因素。
基于回顾性的12个月报告期，城市居民道路交通伤害患病率为13.2%。按类型划分，汽车、自行车、摩托车和行人道路交通伤害的患病率分别为8.7%、8.7%、8.5%和7.7%。多水平分析表明，在个体层面，道路交通伤害患病率与少数民族身份、收入及心理健康障碍评分呈正相关。在地区层面，道路交通伤害与居住地理位置及心理健康障碍患病率有关。
个体及地区层面的变量均与中国城市居民的道路交通伤害有关，这一发现的意义超越了完全照搬通用的外来解决方案。这项描述性研究表明，迫切需要在中国开展关于风险和保护因素的纵向研究，以便为伤害病因学、监测、预防、治疗及评估提供信息。
