Evidence map›Paper›PMID 26991779›Full record

ArticleThe American journal on addictions2016

Trajectories of marijuana use from adolescence to adulthood as predictors of unemployment status in the early forties.

Chenshu Zhang, Judith S Brook, Carl G Leukefeld, David W Brook

Abstract read
In one paragraph

Article in The American journal on addictions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.0field-weighted citation impact, top 3% of its field
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

15 citing papers in PubMed, 36 citations in OpenAlex.

  1. Editors' Best of 2023.JAACAP open · 2024
    Article
  2. Review
  3. Differentiating people who use cannabis heavily through latent class analysis.Substance abuse treatment, prevention, and policy · 2023
    Article
  4. Observational
  5. Article
  6. An intergenerational investigation of the associations between parental marijuana use trajectories and child functioning.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Associations Between Marijuana Use Trajectories and Educational and Occupational Success in Young Adulthood.Prevention science : the official journal of the Society for Prevention Research · 2019
    Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Chenshu ZhangDepartment of Psychiatry, New York University School of Medicine, New York City, New York.
Judith S BrookDepartment of Psychiatry, New York University School of Medicine, New York City, New York.
Carl G LeukefeldDepartment of Behavioral Sciences, University of Kentucky, Lexington, Kentucky.
David W BrookDepartment of Psychiatry, New York University School of Medicine, New York City, New York.
New York University · USCity University of New York · USUniversity of Kentucky · US

Funding

CHILDHOOD ETIOLOGIC DETERMINANTS OF ADOLESCENT DRUG USER01DA003188 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S · 1985 to 2010
$6.0M
Longitudinal Pathways to the Use of Health ServicesR01DA032603 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S · 2012 to 2015
$2.3M
NIDA NIH HHS DA003188NIDA NIH HHS DA032603NIDA NIH HHS R01 DA003188NIDA NIH HHS R01 DA032603
6 · The paper itself

Abstract

objectivesTo study the degree to which individuals in different trajectories of marijuana use are similar or different in terms of unemployment status at mean age 43.

methodsWe gathered longitudinal data on a prospective cohort taken from a community sample (N = 548). Forty-nine percent of the original participants were females. Over 90% of the participants were white. The participants were followed from adolescence to early midlife. The mean ages of participants at the follow-up interviews were 14.1, 16.3, 22.3, 27.0, 31.9, 36.6, and 43.0, respectively. We used the growth mixture modeling (GMM) approach to identify the trajectories of marijuana use over a 29-year period.

resultsFive trajectories of marijuana use were identified: chronic users/decreasers (8.3%), quitters (18.6%), increasing users (7.3%), chronic occasional users (25.6%), and nonusers/experimenters (40.2%). Compared with nonusers/experimenters, chronic users/decreasers had a significantly higher likelihood of unemployment at mean age 43 (adjusted odds ratio = 3.51, 95% confidence interval = 1.13-10.91), even after controlling for the covariates. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: The results of the associations between the distinct trajectories of marijuana use and unemployment in early midlife indicate that it is important to develop intervention programs targeting chronic marijuana use as well as unemployment in individuals at this stage of development. Results from this study should encourage clinicians, teachers, and parents to assess and treat chronic marijuana use in adolescents.

Indexed as

AdolescentAdultAge FactorsFemaleHumansLongitudinal StudiesMaleMarijuana SmokingProspective StudiesUnemploymentYoung Adult

Identifiers

PMID26991779
PMCPMC4809805
OpenAlexW2302420007

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.