Evidence map›Paper›PMID 31862618›Full record

ArticleAddictive behaviors2020

Adolescent E-cigarette use trajectories and subsequent alcohol and marijuana use.

Eunhee Park, Jennifer A Livingston, Weijun Wang, Misol Kwon, Rina D Eiden, Yu-Ping Chang

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 64 citations in OpenAlex.

  1. Identifying Promising Themes for Adolescent Vaping Warnings: A National Experiment.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
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  4. Preventive medicine reports · 2025
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  6. The e-cigarette assessment for youth-Revised (EAsY-R): Preliminary results of a pilot study of measure refinement via cognitive interviewing.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2024
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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

6 authors at 2 institutions in 1 country.

Eunhee ParkUniversity at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: eunheepa@buffalo.edu.
Jennifer A LivingstonUniversity at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: jal7@buffalo.edu.
Weijun WangClinical and Research Institute on Addictions, Department of Psychology, 1021 Main Street, Buffalo, NY 14203-1016, United States. Electronic address: weijunwa@buffalo.edu.
Misol KwonUniversity at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: misolkwo@buffalo.edu.
Rina D EidenPennsylvania State University, Department of Psychology & Consortium for Combatting Substance Abuse, Pennsylvania State University, 140 Moore Building, University Park, PA 16801, United States. Electronic address: rina.eiden@psu.edu.
Yu-Ping ChangUniversity at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: yc73@buffalo.edu.
University at Buffalo, State University of New York · USPennsylvania State University · US

Funding

Peer Victimization as a Pathway to Adolescent Substance UseR01AA021169 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI LIVINGSTON, JENNIFER A · 2013 to 2017
$1.8M
NIAAA NIH HHS R01 AA021169
6 · The paper itself

Abstract

introductionAs electronic cigarette (e-cigarette) use has become more prevalent among adolescents, there is a growing body of evidence linking e-cigarette use to the initiation of other substances. Whether there is a threshold level of e-cigarette use that is predictive of other substance use is unknown. The current study examines patterns of e-cigarette use over time and determines whether different patterns of early adolescent e-cigarette use are concurrently and prospectively associated with alcohol and marijuana use in late adolescence.

methodEight hundred and one adolescents (13-15 years old at baseline recruitment) completed five on-line surveys over a two-year period. Latent class growth analysis was used to model different developmental courses of e-cigarette, alcohol (drinking to intoxication), and marijuana use. Logistic regression was used to test the association between e-cigarette use trajectory patterns and alcohol and marijuana use trajectories.

resultsThree developmental courses of e-cigarette use were identified: 1) high and increasing, 2) low and increasing, and 3) never. Compared to adolescents who had never used e-cigarettes, those in the other two groups were more likely to have been intoxicated and to be in the moderate and increasing marijuana use group.

conclusionBoth high and low levels of e-cigarette use patterns are associated with increasing use of other substances (alcohol and marijuana use) over time. Findings highlight the need for early intervention and prevention of e-cigarette use among adolescents.

Indexed as

Adolescent BehaviorHealth Risk BehaviorsAdolescentAlcohol DrinkingFemaleHumansLatent Class AnalysisLogistic ModelsLongitudinal StudiesMaleMarijuana UseNew YorkVapingAdolescent behaviorAlcoholElectronic cigarettesMarijuana

Identifiers

PMID31862618
PMCPMC6954975
OpenAlexW2992771543

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.