Evidence map›Paper›PMID 26688438›Full record

ArticleJournal of psychiatric research2016

Psychiatric comorbidity in adolescent electronic and conventional cigarette use.

Adam M Leventhal, David R Strong, Steve Sussman, Matthew G Kirkpatrick, Jennifer B Unger, Jessica L Barrington-Trimis, Janet Audrain-McGovern

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 2 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

103 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017
    Pooled it
  3. Brief Web-Based Interventions for Young Adult Smokers With Severe Mental Illnesses: A Randomized, Controlled Pilot Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Trial
  4. The Use of Machine Learning to Predict Offline Adolescent e-Cigarette Use: a Proof-of-Concept.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  5. Article
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  11. Access to E-Cigarettes Is Easy in a Regional Area in Australia: A Qualitative Study to Explore Young People's Views on Vaping.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  12. Article
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  17. Characteristics of Canadians who use vaping products, by smoking status: findings from the Canadian Community Health Survey, 2020.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2024
    Article
  18. Article
  19. Article
  20. Article

43 more citing papers are in PubMed but not listed here.

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.

Adam M LeventhalDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, USA; Department of Psychology, University of Southern California, USA. Electronic address: adam.leventhal@usc.edu.
David R StrongDepartment of Family Medicine and Public Health, University of California, School of Medicine, San Diego, USA.
Steve SussmanDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, USA; Department of Psychology, University of Southern California, USA; School of Social Work, University of Southern California, USA.
Matthew G KirkpatrickDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, USA.
Jennifer B UngerDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, USA.
Jessica L Barrington-TrimisDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, USA.
Janet Audrain-McGovernDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, USA.

Funding

USC Tobacco Center of Regulatory Science (TCORS) for Vulnerable PopulationsP50CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN, SAMET, JONATHAN M · 2013 to 2017
$20.1M
Anhedonia as a Risk Factor and Consequence of Substance UseR01DA033296 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEVENTHAL, ADAM MATTHEW · 2012 to 2016
$3.4M
NCI NIH HHS P50 CA180905NIDA NIH HHS R01 DA033296NIDA NIH HHS R01-DA033296
6 · The paper itself

Abstract

The popularity of electronic (e-) cigarettes has greatly increased recently, particularly in adolescents. However, the extent of psychiatric comorbidity with adolescent e-cigarette use and dual use of conventional (combustible) and e-cigarettes is unknown. This study characterized psychiatric comorbidity in adolescent conventional and e-cigarette use. Ninth grade students attending high schools in Los Angeles, CA (M age = 14) completed self-report measures of conventional/e-cigarette use, emotional disorders, substance use/problems, and transdiagnostic psychiatric phenotypes consistent with the NIMH-Research Domain Criteria Initiative. Outcomes were compared by lifetime use of: (1) neither conventional nor e-cigarettes (non-use; N = 2557, 77.3%); (2) e-cigarettes only (N = 412, 12.4%); (3) conventional cigarettes only (N = 152, 4.6%); and (4) conventional and e-cigarettes (dual use; N = 189, 5.6%). In comparison to adolescents who used conventional cigarettes only, e-cigarette only users reported lower levels of internalizing syndromes (depression, generalized anxiety, panic, social phobia, and obsessive-compulsive disorder) and transdiagnostic phenotypes (i.e., distress intolerance, anxiety sensitivity, rash action during negative affect). Depression, panic disorder, and anhedonia were higher in e-cigarette only vs. non-users. For several externalizing outcomes (mania, rash action during positive affect, alcohol drug use/abuse) and anhedonia, an ordered pattern was observed, whereby comorbidity was lowest in non-users, moderate in single product users (conventional or e-cigarette), and highest in dual users. These findings: (1) raise question of whether emotionally-healthier ('lower-risk') adolescents who are not interested in conventional cigarettes are being attracted to e-cigarettes; (2) indicate that research, intervention, and policy dedicated to adolescent tobacco-psychiatric comorbidity should distinguish conventional cigarette, e-cigarette, and dual use.

Indexed as

AdolescentComorbidityCross-Sectional StudiesDepressionElectronic Nicotine Delivery SystemsFemaleHumansMalePanic DisorderPsychiatric Status Rating ScalesPsychometricsSelf ReportSmokingTobacco ProductsAdolescentsComorbidityElectronic cigarettesMental healthSmoking

Identifiers

PMID26688438
PMCPMC4738156

What OpenQuestion holds

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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.