Evidence map›Paper›PMID 28895239›Full record

ArticleAddiction (Abingdon, England)2018

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

William C Kerr, Camillia Lui, Yu Ye

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Trends and outcomes of trauma patients positive to marijuana and cocaine.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

William C KerrAlcohol Research Group, Public Health Institute, Emeryville, CA, USA.ORCID 0000-0001-6612-9200
Camillia LuiAlcohol Research Group, Public Health Institute, Emeryville, CA, USA.
Yu YeAlcohol Research Group, Public Health Institute, Emeryville, CA, USA.

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI MARTINEZ, PRISCILLA · 1985 to 2025
$34.1M
NIAAA NIH HHS P50 AA005595
6 · The paper itself

Abstract

BACKGROUND AND

aimsEpidemiological 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.

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

settingUnited States.

participantsUS general population aged 18 and older from 1984 to 2015. MEASUREMENTS: Any past-year marijuana use.

findingsResults 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.

conclusionsThe 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.

Indexed as

AdolescentAdultAge FactorsCohort EffectCohort StudiesFemaleHumansMaleMarijuana UseMiddle AgedPrevalenceSurveys and QuestionnairesUnited StatesYoung AdultAgeage-period-cohortlegalizationmarijuanamarijuana policytrends

Identifiers

PMID28895239
PMCPMC5807111

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.