Evidence map›Paper›PMID 38277992›Full record

ArticleAddictive behaviors2024

Life-course Accumulated Cannabis Use and Recent Cannabis-related Problems in the Washington Panel Survey.

Yachen Zhu, Thomas K Greenfield, Yu Ye, Edwina Williams, William C Kerr

Abstract read
In one paragraph

Article in Addictive behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yachen ZhuAlcohol Research Group, Public Health Institute, CA, United States.
Thomas K GreenfieldAlcohol Research Group, Public Health Institute, CA, United States.
Yu YeAlcohol Research Group, Public Health Institute, CA, United States.
Edwina WilliamsAlcohol Research Group, Public Health Institute, CA, United States.
William C KerrAlcohol Research Group, Public Health Institute, CA, United States.

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI MULIA, NINA · 1985 to 2025
$34.1M
Effects of Spirits Privatization on Alcohol Prices and Alcohol-related HarmsR01AA021742 · NIAAA · PUBLIC HEALTH INSTITUTE · PI KERR, WILLIAM C. · 2013 to 2017
$3.0M
Impacts of Recreational Marijuana Legalization and Retail Outlets in Washington: Unique Perspectives from Survey and County Mortality DataR01DA048526 · NIDA · PUBLIC HEALTH INSTITUTE · PI KERR, WILLIAM C. · 2019 to 2022
$2.0M
NIAAA NIH HHS P50 AA005595NIAAA NIH HHS R01 AA021742NIDA NIH HHS R01 DA048526
6 · The paper itself

Abstract

backgroundPrevious studies have only investigated the short-term association of recent cannabis use with cannabis-related problems, without accounting for the onset, duration, and variations in frequency of use in the life-course.

methodsWe obtained data from the Washington panel survey during 2014-2016. We constructed accumulated lifetime exposure to cannabis use, heavy drinking (5+ drinks on one occasion), and cigarette pack-years from age of onset based on a series of decades-based questions on cannabis use and heavy drinking, and tobacco use history. We used Generalized Estimating Equation with Poisson distribution to investigate the association between accumulated cannabis use and the past-6-month CUDIT score. We adjusted for accumulated heavy drinking and cigarette pack-years, substance co-use variables, demographics, and applied survey weights.

resultsWe found strong and statistically significant correlations for the lifetime measures across the four panel surveys, indicating that the life-course measures of cannabis use and heavy drinking were largely reliable. We found a statistically significant relationship between the lifetime accumulated exposure to cannabis and CUDIT. The results were robust to the inconsistencies in reported frequencies and onset age across panel surveys.

conclusionsThis study established the relationship between lifetime exposure to cannabis and cannabis-related problems in a representative sample of drinkers and marijuana users in Washington state. We have also provided test-retest validity and question details for the decades-based cannabis and heavy drinking measures to facilitate their use in future studies of cannabis and alcohol-related outcomes.

Indexed as

CannabisSubstance-Related DisordersAlcohol DrinkingHumansRisk FactorsSurveys and QuestionnairesWashingtonAccumulated substance useCannabis-related problemsCUDITLife-course measuresWashington panel survey

Identifiers

PMID38277992
PMCPMC10923088

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Registered trials

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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.