The Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43215, USA.
The Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43215, USA; Division of Epidemiology, College of Public Health, The Ohio State University, 1841 Neil Avenue, Columbus, OH 43210, USA.
Int J Drug Policy. 2021 Jun;92:102944. doi: 10.1016/j.drugpo.2020.102944. Epub 2020 Oct 22.
A common concern surrounding increasingly permissive marijuana policies in the US is that they will lead to more dangerous behavior, including driving after marijuana use. Although there is considerable research on the effects of marijuana policies on behaviours, few studies have examined self-reported driving after marijuana use. In this study, we use data from the Traffic Safety Culture Index (TSCI) to model self-reported past-year driving after marijuana use in association with medical and recreational marijuana policies.
We analysed individual responses to annual administrations of TSCI from years 2013-2017 using a multiple logistic regression model. Our outcome variable was self-reported past-year driving after marijuana use (at least once vs. never), and our primary explanatory variable was the respondents' state medical marijuana (MM) and recreational marijuana (RM) policy. Additional explanatory variables include policies that specify thresholds for marijuana-intoxicated driving, year, and demographic factors.
Drivers in states that legalized MM but not RM had marginally higher odds of self-reporting driving after marijuana use compared to drivers in states where both RM and MM were illegal (adjusted OR 1.29; 95% CI 0.98, 1.70; p = 0.075). However, we found little evidence that drivers in states that legalized both RM and MM had higher odds of driving after marijuana use compared to drivers in states where both RM and MM were illegal (adjusted OR 1.06; 95% CI 0.71, 1.56; p = 0.784). Per-se or THC threshold laws were associated with lower self-reported driving after marijuana use (adjusted OR 0.74; 95% CI 0.57, 0.95; p = 0.018).
Although we found some evidence of an association between MM legalization and self-reported driving after marijuana use, our results provide only mixed support for the hypothesis that permissive marijuana policies are associated with higher odds of self-reported driving after marijuana use.
美国日益宽松的大麻政策引发了人们的普遍担忧,即这些政策可能导致更危险的行为,包括吸食大麻后开车。尽管有大量研究探讨了大麻政策对行为的影响,但很少有研究调查过吸食大麻后自我报告的驾驶行为。在这项研究中,我们使用交通安全文化指数(TSCI)的数据,构建模型,以调查与医疗用和娱乐用大麻政策相关的自我报告的过去一年吸食大麻后驾驶行为。
我们使用 2013-2017 年年度 TSCI 个体应答数据,采用多逻辑回归模型进行分析。我们的因变量是自我报告的过去一年吸食大麻后驾驶行为(至少一次与从未),我们的主要解释变量是受访者所在州的医用大麻(MM)和娱乐用大麻(RM)政策。其他解释变量包括规定大麻致醉驾驶阈值的政策、年份和人口统计学因素。
与医用大麻和娱乐用大麻均违法的州的驾驶员相比,医用大麻合法化而娱乐用大麻违法的州的驾驶员更有可能报告吸食大麻后驾驶(校正比值比 1.29;95%置信区间 0.98,1.70;p=0.075)。然而,我们几乎没有证据表明,医用大麻和娱乐用大麻均合法的州的驾驶员报告吸食大麻后驾驶的可能性高于医用大麻和娱乐用大麻均违法的州的驾驶员(校正比值比 1.06;95%置信区间 0.71,1.56;p=0.784)。每单位或 THC 阈值法与自我报告的吸食大麻后驾驶行为呈负相关(校正比值比 0.74;95%置信区间 0.57,0.95;p=0.018)。
尽管我们发现医用大麻合法化与自我报告的吸食大麻后驾驶行为之间存在一定的关联证据,但我们的结果仅为假设提供了混合支持,即宽松的大麻政策与自我报告的吸食大麻后驾驶行为的可能性更高有关。