Evidence map›Paper›PMID 38411197›Full record

ArticleJournal of studies on alcohol and drugs2024

Latent Trajectories of Persistence of Cannabis Use Across Four Decades in 329 Men From the San Diego Prospective Study.

Marc A Schuckit, Tom L Smith, George Danko, Lee Anne Mendoza, Hannah N Fisher

Abstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Marc A SchuckitDepartment of Psychiatry, UCSD Medical School, La Jolla, California.
Tom L SmithDepartment of Psychiatry, UCSD Medical School, La Jolla, California.
George DankoDepartment of Psychiatry, UCSD Medical School, La Jolla, California.
Lee Anne MendozaDepartment of Psychiatry, UCSD Medical School, La Jolla, California.
Hannah N FisherDepartment of Psychiatry, UCSD Medical School, La Jolla, California.

Funding

PREVENTION APPROACH TO COLLEGE HEAVY DRINKING BASED ON A LOW RESPONSE TO ALCOHOLR01AA021162 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHUCKIT, MARC A · 2013 to 2014
$945k
NIAAA NIH HHS R01 AA021162
6 · The paper itself

Abstract

objectiveThese analyses use data from a 40-year prospective study to extend information into the sixth and seventh decades of life regarding latent trajectory classes of cannabis use and predictors of those classes.

methodData from the San Diego Prospective Study were analyzed for 329 men of European and Hispanic ethnicity who had used cannabis at about age 23 at study entry (Time 1) and who were interviewed about every 5 years through about age 60 to 70. Latent classes of cannabis use trajectories were evaluated using latent class growth analyses, baseline predictors of class membership were determined, and significant predictors of each class were established using logistic regression analyses.

resultsFour latent classes were identified ranging from 12.5% with cannabis use at every follow-up to 25.8% with no use after Time 1. Eight of 14 Time 1 predictors differed significantly across the trajectory classes, including five (age, marital status, religious identity, intensity of cannabis use, and sensation seeking) that significantly contributed to regression analyses when all significant predictors were considered together. DISCUSSION: Forty-two percent of participants continued using cannabis long-term, including one in eight who used it at every follow-up. Predictors of continued use and identification of those most likely to stop required gathering information on a range of demographic, prior substance use, and personality characteristics.

conclusionsConsidering the potential enhanced dangers of cannabis use in later life, the high rate of continued use over four decades implies that clinicians should ask all older patients about recent cannabis use, especially if they had used it in their 20s.

Indexed as

Marijuana UseAdultAgedAge FactorsCaliforniaFollow-Up StudiesHispanic or LatinoHumansLongitudinal StudiesMaleMarijuana SmokingMiddle AgedProspective StudiesTime FactorsWhiteYoung Adult

Identifiers

PMID38411197
PMCPMC11289867

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