Evidence map›Paper›PMID 22464050›Full record

ArticleDrug and alcohol dependence2012

Marijuana use trajectories during the post-college transition: health outcomes in young adulthood.

Kimberly M Caldeira, Kevin E O'Grady, Kathryn B Vincent, Amelia M Arria

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. Predicting Self-Medication with Cannabis in Young Adults with Hazardous Cannabis Use.International journal of environmental research and public health · 2022
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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.

Kimberly M CaldeiraCenter on Young Adult Health and Development, University of Maryland School of Public Health, Department of Family Science, 1142 School of Public Health Building, College Park, MD 20742, USA.
Kevin E O'Grady
Kathryn B Vincent
Amelia M Arria

Funding

Scientific CoreP50DA027841 · NIDA · TREATMENT RESEARCH INSTITUTE · PI KIRBY, KIMBERLY C · 2010 to 2014
$10.7M
The Natural History and Consequences of Ecstasy UseR01DA014845 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI ARRIA, AMELIA M · 2003 to 2013
$5.7M
Drug Abuse Trajectories in the Transition to Adulthood: Risk Factors and OutcomesR56DA014845 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI ARRIA, AMELIA M · 2008 to 2008
$321k
NIDA NIH HHS P50 DA027841NIDA NIH HHS R01 DA014845NIDA NIH HHS R01DA14845NIDA NIH HHS R56 DA014845
6 · The paper itself

Abstract

backgroundDespite the relatively high prevalence of marijuana use among college students, little information exists regarding health outcomes associated with different use patterns or trajectories.

methodsSeven annual personal interviews (years 1-7) were administered to 1253 individuals, beginning in their first year in college. Growth mixture modeling was used to identify trajectories of marijuana, alcohol, and tobacco use frequency during years 1-6. Logistic regression was used to evaluate the relationship between marijuana use trajectories and several year 7 health outcomes, holding constant year 1 health, demographics, and alcohol and tobacco use trajectories.

resultsSix marijuana use trajectories were identified: non-use (71.5% (wt) of students), low-stable (10.0% (wt)), late-increase (4.7% (wt)), early-decline (4.3% (wt)), college-peak (5.4% (wt)), and chronic (4.2% (wt)). The six marijuana trajectory groups were not significantly different on year 1 health-related variables, but differed on all ten year 7 health outcomes tested, including functional impairment due to injury, illness, or emotional problems; general health rating; psychiatric symptoms; health-related quality of life; and service utilization for physical and mental health problems. Non-users fared significantly better than most of the marijuana-using trajectory groups on every outcome tested. Chronic and late-increase users had the worst health outcomes.

conclusionsMarijuana use patterns change considerably during college and the post-college period. Marijuana-using students appear to be at risk for adverse health outcomes, especially if they increase or sustain a frequent pattern of use.

Indexed as

AdolescentAdultAge FactorsAlcohol DrinkingBayes TheoremDemographyFemaleHealth ServicesHealth StatusHumansLongitudinal StudiesMaleMarijuana AbuseMental DisordersMid-Atlantic RegionPsychiatric Status Rating Scales

Identifiers

PMID22464050
PMCPMC3390463

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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.