Université de Sherbrooke, Sherbrooke, Canada.
Drug Alcohol Rev. 2023 Jul;42(5):1120-1131. doi: 10.1111/dar.13678. Epub 2023 May 3.
In the past decade, a group of studies has begun to explore the association between cannabis recreational use policies and traffic crashes. After these policies are set in place, several factors may affect cannabis consumption, including the number of cannabis stores (NCS) per capita. This study examines the association between the enactment of Canada's Cannabis Act (CCA) (18 October 2018) and the NCS (allowed to function from 1 April 2019) with traffic injuries in Toronto.
We explored the association of the CCA and the NCS with traffic crashes. We applied two methods: hybrid difference-in-difference (DID) and hybrid-fuzzy DID. We used generalised linear models using CCA and the NCS per capita as the main variables of interest. We adjusted for precipitation, temperature and snow. Information is gathered from Toronto Police Service, Alcohol and Gaming Commission of Ontario, and Environment Canada. The period of analysis was from 1 January 2016 to 31 December 2019.
Regardless of the outcome, neither the CCA nor the NCS is associated with concomitant changes in the outcomes. In hybrid DID models, the CCA is associated with non-significant decreases of 9% (incidence rate ratio 0.91, 95% confidence interval 0.74,1.11) in traffic crashes and in the hybrid-fuzzy DID models, the NCS are associated with nonsignificant decreases of 3% (95% confidence interval - 9%, 4%) in the same outcome.
This study observes that more research is needed to better understand the short-term effects (April to December 2019) of NCS in Toronto on road safety outcomes.
在过去的十年中,一系列研究开始探讨休闲大麻使用政策与交通事故之间的关联。在这些政策实施之后,有几个因素可能会影响大麻的消费,包括人均大麻店数量(NCS)。本研究考察了加拿大《大麻法》(CCA)(2018 年 10 月 18 日)的颁布以及 NCS(允许从 2019 年 4 月 1 日起运作)与多伦多交通事故之间的关联。
我们探讨了 CCA 和 NCS 与交通事故之间的关联。我们采用了两种方法:混合差分法(DID)和混合模糊 DID。我们使用广义线性模型,将 CCA 和人均 NCS 作为主要关注变量。我们调整了降水、温度和积雪的影响。信息来自多伦多警察局、安大略省酒精和博彩委员会以及加拿大环境部。分析期间为 2016 年 1 月 1 日至 2019 年 12 月 31 日。
无论结果如何,CCA 和 NCS 均与结果的同期变化无关。在混合 DID 模型中,CCA 与交通事故发生率非显著下降 9%(发生率比 0.91,95%置信区间 0.74,1.11)相关,而在混合模糊 DID 模型中,NCS 与相同结果的非显著下降 3%(95%置信区间为-9%,4%)相关。
本研究观察到,需要进行更多的研究以更好地理解多伦多 NCS 在 2019 年 4 月至 12 月期间对道路安全结果的短期影响。