Alcohol Research Group, Public Health Institute, Emeryville, CA, USA.
Addiction. 2018 Mar;113(3):473-481. doi: 10.1111/add.14031. Epub 2017 Oct 11.
Epidemiological trends show marijuana use in the United States to have increased in recent years. Previous research has identified cohort effects as contributing to the rising prevalence, in particular birth cohorts born after 1945. However, given recent policy efforts to regulate marijuana use at the state level, period effects could also play a contributory role. This study aimed to examine whether cohort or period effects play a larger role in explaining trends in marijuana use.
Using data from seven National Alcohol Surveys, we estimated age-period-cohort decomposition models for marijuana use, controlling for socio-demographic measures.
United States.
US general population aged 18 and older from 1984 to 2015.
Any past-year marijuana use.
Results indicated that period effects were the main driver of rising marijuana use prevalence. Models including indicators of medical and recreational marijuana policies did not find any significant positive impacts.
The steep rise in marijuana use in the United States since 2005 occurred across the population and is attributable to general period effects not linked specifically to the liberalization of marijuana policies in some states.
流行病学趋势显示,近年来美国大麻的使用有所增加。先前的研究已经确定,队列效应是导致大麻流行率上升的原因之一,特别是出生于 1945 年后的队列。然而,鉴于最近州一级规范大麻使用的政策努力,也可能存在时期效应的作用。本研究旨在检验队列效应还是时期效应在解释大麻使用趋势方面发挥更大作用。
利用来自七个国家酒精调查的数据,我们估计了大麻使用的年龄-时期-队列分解模型,控制了社会人口学指标。
美国。
1984 年至 2015 年期间,年龄在 18 岁及以上的美国普通人群。
任何过去一年的大麻使用情况。
结果表明,时期效应是大麻使用流行率上升的主要驱动因素。纳入医疗和娱乐大麻政策指标的模型并未发现任何显著的积极影响。
自 2005 年以来,美国大麻使用的急剧上升发生在整个人群中,这归因于普遍的时期效应,而不是与某些州大麻政策自由化具体相关的时期效应。