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. 2018 Mar;113(3):473-481.
doi: 10.1111/add.14031. Epub 2017 Oct 11.

Trends and age, period and cohort effects for marijuana use prevalence in the 1984-2015 US National Alcohol Surveys

Affiliations

Trends and age, period and cohort effects for marijuana use prevalence in the 1984-2015 US National Alcohol Surveys

William C Kerr et al. Addiction. 2018 Mar.

Abstract

Background and aims: 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.

Design: Using data from seven National Alcohol Surveys, we estimated age-period-cohort decomposition models for marijuana use, controlling for socio-demographic measures.

Setting: United States.

Participants: US general population aged 18 and older from 1984 to 2015.

Measurements: Any past-year marijuana use.

Findings: 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.

Conclusions: 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.

Keywords: Age; age-period-cohort; legalization; marijuana; marijuana policy; trends.

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Conflict of interest statement

Conflict of interest and financial disclosure: no conflicts to disclose

Figures

Figure 1
Figure 1
Age, period and cohort effects for women and men displayed as odds ratios (OR) from logistic regression models of any marijuana use from 7 National Alcohol Surveys. Reference groups are the 41–50 age group, the 2015 survey and the 1956–1960 birth cohort. Dotted lines represent the estimated 95% confidence intervals. Male age effects are estimated from the age-constraint model, and thus no confidence intervals are not presented.

Comment in

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