Evidence map›Paper›PMID 28024859›Full record

ArticlePreventive medicine2017

Bi-directional associations of electronic and combustible cigarette use onset patterns with depressive symptoms in adolescents.

William V Lechner, Tim Janssen, Christopher W Kahler, Janet Audrain-McGovern, Adam M Leventhal

Abstract read
In one paragraph

Article in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 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

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  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
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34 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

5 authors.

William V LechnerCenter for Alcohol and Addiction Studies, Brown University, School of Public Health, Providence, RI, USA. Electronic address: william_lechner@brown.edu.
Tim JanssenCenter for Alcohol and Addiction Studies, Brown University, School of Public Health, Providence, RI, USA.
Christopher W KahlerCenter for Alcohol and Addiction Studies, Brown University, School of Public Health, Providence, RI, USA.
Janet Audrain-McGovernDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, PA, USA.
Adam M LeventhalDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, 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
Substance Abuse Intervention/Outcome Research TrainingT32DA016184 · NIDA · BROWN UNIVERSITY · PI Damaris J. Rohsenow, JENNIFER W. TIDEY · 2003 to 2026
$6.1M
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 T32 DA016184
6 · The paper itself

Abstract

Whether well-documented patterns of mental health comorbidity with adolescent combustible cigarette use extend to e-cigarette use is unclear. Demonstrating associations between e-cigarette and combustible cigarette use with mental health symptomatology across adolescence may be important for promoting accurate perceptions of populations at risk for and potential consequences of tobacco product use. Adolescents (N=2460; mean age at baseline=14.1; 53.4% female; 44.1% Hispanic) who had never previously used combustible or e-cigarettes were assessed at baseline, and 6- and 12-month follow-ups in Los Angeles, CA (2013-2014). Logistic regression was used to examine associations between baseline depressive symptoms and onset of e-cigarette and cigarette single product and dual use at follow-ups. Latent growth modeling was used to examine associations between sustained use of either product (vs. non-use) and changes in depressive symptoms over 12-months. Higher baseline depressive symptoms predicted subsequent onset of cigarette (OR=1.024, 95% C.I.=1.009-1.055), e-cigarette (OR=1.015, C.I.=1.003-1.023), and dual use of both products (OR=1.021, C.I.=1.003-1.043). Sustained use of e-cigarettes over the 12-month observation (vs. non-use) was associated with a greater rate of increase in depressive symptoms over time (b=1.272, SE=0.513, p=0.01). Among those who sustained use of e-cigarettes, higher frequency of use was associated with higher depressive symptoms at the final follow-up (B=1.611, p=0.04). A bi-directional association of depressive symptoms with e-cigarette use onset across mid adolescence was observed. Further research on the causal nature, etiological underpinnings, and intervention implications of mental health and tobacco product use comorbidity is warranted.

Indexed as

AdolescentAdolescent BehaviorCigarette SmokingDepressionElectronic Nicotine Delivery SystemsFemaleHumansLos AngelesMaleRisk FactorsAdolescentsDepressionDepressive symptomsDevelopmentalE-cigarettesElectronic cigarettesGrowth curve modelStructural equation modeling

Identifiers

PMID28024859
PMCPMC5510594

What OpenQuestion holds

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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.