Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic., USA.
Alcohol Clin Exp Res. 2021 Apr;45(4):784-792. doi: 10.1111/acer.14583. Epub 2021 Mar 28.
Sobriety checkpoints have strong empirical and theoretical support as an intervention to reduce alcohol-involved motor vehicle crashes. The purpose of this study was to examine whether checkpoint size (the number of police officers) and checkpoint duration (the amount of time in operation) affect associations between individual checkpoints and subsequent alcohol-related crash incidence.
Queensland Police Service provided latitude-longitude coordinates and date and time data for all breath tests that occurred in Brisbane, Australia, from January 2012 to June 2018. We applied hierarchical cluster analysis to the latitude-longitude coordinates for breath tests, identifying checkpoints as clusters of ≥25 breath tests conducted by ≥3 breath testing devices over a duration of 3 to 8 hours. Generalized linear autoregressive moving average (GLARMA) models related counts of alcohol-involved motor vehicle crashes to the number of checkpoints conducted per week, as well as 1 week prior and 2 weeks prior.
A total of 3420 alcohol-related crashes occurred and 2069 checkpoints were conducted in Brisbane over the 6.5-year (339-week) study period. On average, checkpoints included a mean of 266.0 breath tests (SD = 216.3), 16.4 devices (SD = 13.7), and were 286.3 minutes in duration (SD = 104.2). Each 10 additional checkpoints were associated with a 12% decrease in crash incidence at a lag of 1 week (IRR = 0.88; 95%CI: 0.80, 0.97). We detected no differential associations according to checkpoint size or duration.
Sobriety checkpoints are associated with fewer alcohol-related motor vehicle crashes for around 1 week. Checkpoint size and duration do not appear to affect this relationship.
清醒点检查作为减少与酒精相关的机动车事故的干预措施具有强有力的经验和理论支持。本研究的目的是检验个体检查站数量(警察人数)和检查站持续时间(运营时间)是否会影响个体检查站与随后的酒精相关事故发生率之间的关联。
昆士兰警察局提供了 2012 年 1 月至 2018 年 6 月在澳大利亚布里斯班进行的所有呼气测试的纬度-经度坐标以及日期和时间数据。我们对呼气测试的纬度-经度坐标应用分层聚类分析,确定检查站为 25 次以上呼气测试的集群,这些测试由 3 个以上呼气测试设备在 3 至 8 小时内进行。广义线性自回归移动平均(GLARMA)模型将与酒精相关的机动车事故的计数与每周进行的检查站数量相关联,以及 1 周前和 2 周前。
在 6.5 年(339 周)的研究期间,布里斯班共发生了 3420 起与酒精相关的撞车事故和 2069 个检查站。平均而言,检查站包括 266.0 次呼气测试(SD=216.3)、16.4 个设备(SD=13.7),持续时间为 286.3 分钟(SD=104.2)。每周增加 10 个额外的检查站与滞后 1 周的撞车事故发生率降低 12%相关(IRR=0.88;95%CI:0.80,0.97)。我们没有发现根据检查站的规模或持续时间的不同关联。
清醒点检查与大约 1 周内的酒精相关机动车事故发生率降低有关。检查站的规模和持续时间似乎不会影响这种关系。