Evidence map›Paper›PMID 27742490›Full record

ArticleDrug and alcohol dependence2016

The impact of adolescent exposure to medical marijuana laws on high school completion, college enrollment and college degree completion.

Andrew D Plunk, Arpana Agrawal, Paul T Harrell, William F Tate, Kelli England Will, Jennifer M Mellor, Richard A Grucza

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Andrew D PlunkDepartment of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA. Electronic address: plunkad@evms.edu.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Paul T HarrellDepartment of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA.
William F TateDepartment of Education, Washington University in St. Louis, St. Louis, MO, USA.
Kelli England WillDepartment of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA.
Jennifer M MellorDepartment of Economics, College of William and Mary, Williamsburg, VA, USA.
Richard A GruczaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Eastern Virginia Medical School · USWashington University in St. Louis · USWilliams (United States) · US

Funding

POLICY AS ENVIRONMENT : LONG-TERM EFFECTS OF LAWS RESTRICTING YOUTH SUBSTANCE USER01DA031288 · NIDA · WASHINGTON UNIVERSITY · PI GRUCZA, RICHARD A · 2012 to 2015
$1.1M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Measure Development for Prediction of E-cigarette InitiationR03CA195124 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI HARRELL, PAUL TRUMAN · 2015 to 2016
$166k
NCI NIH HHS R03 CA195124NIDA NIH HHS K02 DA032573NIDA NIH HHS R01 DA031288
6 · The paper itself

Abstract

backgroundThere is concern that medical marijuana laws (MMLs) could negatively affect adolescents. To better understand these policies, we assess how adolescent exposure to MMLs is related to educational attainment.

methodsData from the 2000 Census and 2001-2014 American Community Surveys were restricted to individuals who were of high school age (14-18) between 1990 and 2012 (n=5,483,715). MML exposure was coded as: (i) a dichotomous "any MML" indicator, and (ii) number of years of high school age exposure. We used logistic regression to model whether MMLs affected: (a) completing high school by age 19; (b) beginning college, irrespective of completion; and (c) obtaining any degree after beginning college. A similar dataset based on the Youth Risk Behavior Survey (YRBS) was also constructed for confirmatory analyses assessing marijuana use.

resultsMMLs were associated with a 0.40 percentage point increase in the probability of not earning a high school diploma or GED after completing the 12th grade (from 3.99% to 4.39%). High school MML exposure was also associated with a 1.84 and 0.85 percentage point increase in the probability of college non-enrollment and degree non-completion, respectively (from 31.12% to 32.96% and 45.30% to 46.15%, respectively). Years of MML exposure exhibited a consistent dose response relationship for all outcomes. MMLs were also associated with 0.85 percentage point increase in daily marijuana use among 12th graders (up from 1.26%).

conclusionsMedical marijuana law exposure between age 14 to 18 likely has a delayed effect on use and education that persists over time.

Indexed as

Educational StatusMedical MarijuanaAdolescentFemaleHumansMaleMarijuana AbuseMarijuana SmokingProbabilityRisk-TakingSchoolsSurveys and QuestionnairesUnited StatesUniversitiesMedical MarijuanaAdolescenceEducational attainmentMedical marijuana laws

Identifiers

PMID27742490
PMCPMC5123757
OpenAlexW2531269132

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.