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中国广州酒驾法规对道路交通死亡率的时变影响:一项中断时间序列分析。

Time-varying effect of drunk driving regulations on road traffic mortality in Guangzhou, China: an interrupted time-series analysis.

机构信息

State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.

Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China.

出版信息

BMC Public Health. 2021 Oct 19;21(1):1885. doi: 10.1186/s12889-021-11958-4.

Abstract

BACKGROUND

China has introduced a series of stricter policies to criminalize drunk driving and increase penalties since May 2011. However, there is no previous study examining the time-varying impacts of drunk driving regulations on road traffic fatalities based on daily data.

METHODS

We collected 6536 individual data of road traffic deaths (RTDs) in Guangzhou from 2008 to 2018. The quasi-Poisson regression models with an inclusion of the intervention variable and the interaction of intervention variable and a function of time were used to quantify the time-varying effects of these regulations.

RESULTS

During the 11-year study period, the number of population and motor vehicles showed a steady upward trend. However, the population- and motor vehicles- standardized RTDs rose steadily before May 2011, the criminalizing drunk driving intervention was implemented and gradually declined after that. The new drunk driving intervention were associated with an average risk reduction of RTDs (ER = -9.01, 95% eCI: - 10.05% to - 7.62%) during the 7.7 years after May 2011. On average, 75.82 (95% eCI, 54.06 to 92.04) RTDs per 1 million population annually were prevented due to the drunk driving intervention.

CONCLUSION

These findings would provide important implications for the development of integrated intervention measures in China and other countries attempting to reduce traffic fatalities by stricter regulations on drunk driving.

摘要

背景

自 2011 年 5 月以来,中国出台了一系列更为严格的酒驾入刑政策并加大了处罚力度。然而,此前尚无研究基于日度数据评估酒驾法规对道路交通事故死亡人数的时变影响。

方法

我们收集了 2008 年至 2018 年广州 6536 例道路交通事故死亡(RTD)的个体数据。采用包含干预变量和干预变量与时间函数交互项的拟泊松回归模型,量化这些法规的时变效应。

结果

在 11 年的研究期间,人口和机动车数量呈稳步上升趋势。然而,人口和机动车标准化 RTD 在 2011 年 5 月之前呈稳步上升趋势,酒驾入刑干预实施后逐渐下降。新的酒驾干预措施与 2011 年 5 月后 7.7 年期间 RTD 的平均风险降低相关(ER=-9.01,95%eCI:-10.05%至-7.62%)。平均而言,由于酒驾干预措施,每年每 100 万人口可预防 75.82 例(95%eCI,54.06 至 92.04)RTD。

结论

这些发现为中国和其他国家制定综合干预措施提供了重要启示,旨在通过更严格的酒驾法规来减少交通事故死亡人数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3543/8524860/305c5c19db2a/12889_2021_11958_Fig1_HTML.jpg

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