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清醒驾驶检查站与酒后驾驶的地理分布

The geography of sobriety checkpoints and alcohol-impaired driving.

机构信息

Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

出版信息

Addiction. 2022 May;117(5):1450-1457. doi: 10.1111/add.15766. Epub 2022 Jan 10.

Abstract

BACKGROUND AND AIMS

Sobriety checkpoints are an effective strategy to reduce alcohol-impaired driving, motor vehicle crashes, injuries and fatalities. The aim of this study was to identify the geographic extent over which individual sobriety checkpoints affect alcohol-impaired driving.

DESIGN, SETTING, PARTICIPANTS: Spatial ecological panel analysis using geolocated breath test data from the Queensland Police Service, Australia, for January 2012 to June 2018. Data were aggregated over 338 weeks within 528 Statistical Area level 2 (SA2) units (n = 178 464 SA2-weeks) and 84 Statistical Area level 3 (SA3) units (n = 28 392 SA3-weeks). SA2 units in Queensland contain a mean population of 8883.5 (SD = 55 018.3) and encompass 468.9 roadway kilometers (SD = 1490.0); SA3 units contain a mean population of 57 201.6 (SD = 29521.6) and encompass 2936.0 roadway kilometers (SD = 7025.0).

MEASUREMENTS

Independent measures were the density of sobriety checkpoints conducted per 500 roadway kilometers within local and spatially adjacent space-time units. The dependent measure was the rate of tests that detected breath alcohol concentration (a proxy for blood alcohol concentration [BAC]) greater than the legal maximum value of 0.05% for fully licensed drivers in Queensland. Bayesian hierarchical spatial negative binomial models-related sobriety checkpoints to the rate of breath tests with BAC ≥ 0.05% within and between space-time units.

FINDINGS

One additional sobriety checkpoint conducted per 500 roadway kilometers was associated with 2.5% reduction in the rate of breath tests with BAC ≥ 0.05% within local SA2 units (incidence rate ratio [IRR] = 0.975; 95% credibility interval (CrI): 0.973-0.978), and with 5.5% reduction in the rate of breath tests with BAC ≥ 0.05% within local SA3 units (IRR = 0.945; 95%CrI: 0.937-0.953). Associations were attenuated towards null in spatially adjacent units and in temporally lagged units (e.g. SA3-weeks; adjacent lagged 1 week: IRR = 0.969; 95%CrI: 0.937-1.003).

CONCLUSIONS

Individual sobriety checkpoints appear to be associated with reductions in nearby alcohol-impaired driving. Relationships decay after approximately 1 week and beyond local areas containing approximately 60 000 residents and 3000 kilometers of roadway.

摘要

背景和目的

清醒检查站是减少酒后驾车、机动车事故、伤害和死亡的有效策略。本研究的目的是确定个体清醒检查站对酒后驾车的影响范围。

设计、地点、参与者:使用澳大利亚昆士兰警察局的地理位置呼吸测试数据进行空间生态面板分析,时间范围为 2012 年 1 月至 2018 年 6 月。数据在 528 个统计区域 2 级(SA2)单位(n=178464 SA2 周)和 84 个统计区域 3 级(SA3)单位(n=28392 SA3 周)中按 338 周进行汇总。昆士兰州的 SA2 单位平均人口为 8883.5(SD=55018.3),包含 468.9 公里的道路(SD=1490.0);SA3 单位平均人口为 57201.6(SD=29521.6),包含 2936.0 公里的道路(SD=7025.0)。

测量

独立措施是在当地和空间相邻时空单位内每 500 公里道路上进行的清醒检查站密度。因变量是检测到呼吸酒精浓度(血液酒精浓度[BAC]的替代物)大于昆士兰州完全许可驾驶员 0.05%法定最大值的测试率。贝叶斯分层空间负二项式模型将清醒检查站与时空单位内和单位之间 BAC≥0.05%的呼吸测试率相关联。

发现

每增加 500 公里道路上进行一次清醒检查站,与当地 SA2 单位内 BAC≥0.05%的呼吸测试率降低 2.5%相关(发病率比[IRR]=0.975;95%可信度区间[CrI]:0.973-0.978),与当地 SA3 单位内 BAC≥0.05%的呼吸测试率降低 5.5%相关(IRR=0.945;95%CrI:0.937-0.953)。在空间相邻单位和时间滞后单位(例如 SA3 周;滞后 1 周的相邻单位:IRR=0.969;95%CrI:0.937-1.003),关联减弱至接近零。

结论

个体清醒检查站似乎与附近的酒后驾车减少有关。关系在大约 1 周后和在包含大约 60000 名居民和 3000 公里道路的当地区域之外衰减。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94ec/9596227/5203cbd7a116/nihms-1842628-f0001.jpg

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