Evidence map›Paper›PMID 29763848›Full record

ArticleDrug and alcohol dependence2018

Prevalence and correlates of adolescents' e-cigarette use frequency and dependence.

Erin A Vogel, Danielle E Ramo, Mark L Rubinstein

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
5.5field-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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. #Discreetshipping: Selling E-cigarettes on TikTok.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  18. First E-Cigarette Flavor and Device Type Used: Associations With Vaping Persistence, Frequency, and Dependence in Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 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

3 authors at 1 institution in 1 country.

Erin A VogelDepartment of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, 350 Parnassus Avenue, Suite 810, San Francisco, CA 94117, USA. Electronic address: erin.vogel@ucsf.edu.
Danielle E RamoDepartment of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, 350 Parnassus Avenue, Suite 810, San Francisco, CA 94117, USA.
Mark L RubinsteinDivision of Adolescent and Young Adult Medicine, University of California, San Francisco.
University of California, San Francisco · US

Funding

Training and Education p489-500P50CA180890 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 2013 to 2018
$20.5M
Research Support CoreP30DA012393 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON, JONES, REESE T. · 1999 to 2024
$17.1M
Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Liquid Chromatograph-Triple Quadrupole Mass SpectrometerS10RR026437 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON · 2010 to 2010
$448k
Adolescent ENDS Use, Nicotine Metabolism and Toxicant ExposureR21DA040718 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RUBINSTEIN, MARK L · 2016 to 2017
$436k
NCI NIH HHS P50 CA180890NCRR NIH HHS S10 RR026437NIDA NIH HHS P30 DA012393NIDA NIH HHS R21 DA040718NIDA NIH HHS T32 DA007250
6 · The paper itself

Abstract

backgroundUnderstanding predictors of e-cigarette use among adolescents in the context of wide availability and extreme popularity of these products is important for prevention and treatment. This study identifies correlates of e-cigarette use frequency and dependence among adolescent users.

methodsAdolescent e-cigarette users (N = 173) were recruited from the San Francisco Bay Area. Participants reported demographic and psychosocial characteristics, e-cigarette use behaviors, and cigarette use. Bivariate relationships between potential correlates were examined, and correlates significant at p < .10 were included in full models predicting frequency and dependence.

resultsIn the full models, frequent use was associated with receiving one's first e-cigarette from a family member rather than a friend (r = -0.23, p < .001) or a store ( = -0.13, p = .037), using nicotine in all e-cigarettes versus some e-cigarettes (r = -0.17, p = .007) or unknown nicotine use (r = -0.15, p = .014), using a customizable device versus a Juul (r = -0.22, p < .001), vape pen (r = -0.20, p = .002), or other/unknown device (r = -0.16, p = .009), and friends' e-cigarette use (r = 0.20, p = .002). Dependence was associated with younger age of first use (r = -0.18, p = .012), friends' use (r = 0.18, p = .01), and recent cigarette use (r = 0.17, p = .019).

conclusionsWhen assessing problematic e-cigarette use among adolescents, it is important to consider social factors (e.g., friends' and family members' e-cigarette use), device type, and dual use with cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsAdolescentAdolescent BehaviorCross-Sectional StudiesFamilyFemaleFriendsHumansLongitudinal StudiesMalePilot ProjectsPrevalenceSan FranciscoSmokingTobacco Use DisorderVapingAdolescentDependenceE-cigaretteElectronic cigaretteElectronic nicotine delivery systemsNicotineVaping

Identifiers

PMID29763848
PMCPMC5999577
OpenAlexW2800720815

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.