Evidence map›Paper›PMID 29082301›Full record

ArticleTobacco regulatory science2017

Youth E-cigarette, Blunt, and Other Tobacco Use Profiles: Does SES Matter?

Patricia Simon, Deepa R Camenga, Grace Kong, Christian M Connell, Meghan E Morean, Dana A Cavallo, Suchitra Krishnan-Sarin

Abstract read
In one paragraph

Article in Tobacco regulatory science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

  1. Pooled it
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  15. Age-Varying Associations Between Attempts to Lose Weight and Nicotine Vaping Across Adolescence: Results From a Nationally Representative Sample.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    Article
  16. Article
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  18. Geographic isolation predicts tobacco product use among youth: A latent class analysis.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
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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.

Patricia SimonYale School of Medicine, Department of Psychiatry & The Consultation Center, New Haven, CT.
Deepa R CamengaYale School of Medicine, Department of Emergency Medicine, New Haven, CT.
Grace KongYale School of Medicine, Department of Psychiatry, New Haven, CT.
Christian M ConnellYale School of Medicine, Department of Psychiatry & The Consultation Center, New Haven, CT.
Meghan E MoreanDepartment of Psychology, Oberlin, OH.
Dana A CavalloYale School of Medicine, Department of Psychiatry, New Haven, CT.
Suchitra Krishnan-SarinYale School of Medicine, Department of Psychiatry, New Haven, CT.

Funding

Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Yale Tobacco Center of Regulatory ScienceP50DA036151 · NIDA · YALE UNIVERSITY · PI KRISHNAN-SARIN, SUCHITRA, O'MALLEY, STEPHANIE S · 2013 to 2017
$20.6M
Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
Yale University Clinical and Translational Science Award ProgramKL2TR000140 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$2.9M
NCATS NIH HHS KL2 TR000140NCATS NIH HHS UL1 TR000142NIDA NIH HHS L40 DA042454NIDA NIH HHS P50 DA036151NIDA NIH HHS T32 DA019426
6 · The paper itself

Abstract

objectiveWe examined the associations between socioeconomic status (SES) and adolescent polytobacco use profiles (including e-cigarettes and blunts).

methodsAdolescents (N = 1932) completed surveys conducted in 2014 in 3 Connecticut high schools. Within a Latent Class Analysis (LCA) framework, logistic regressions examined associations between SES and polytobacco use profiles comprising never, ever, and current e-cigarette, blunt, cigarette, cigar, cigarillo, hookah, and smokeless tobacco use.

resultsWe identified 5 classes: (1) current polytobacco users; (2) ever polytobacco users; (3) current e-cigarette, blunt, and cigarette users; (4) ever e-cigarette and blunt users; and (5) never users. Low SES, relative to high SES, was associated with greater likelihood of being: (1) an ever polytobacco user; (2) a current e-cigarette, blunt, and cigarette user; and (3) an ever e-cigarette and blunt user, relative to a never user.

conclusionsLow SES is associated with membership in distinct polytobacco use latent classes. Regulatory initiatives that focus exclusively on cigarette use may miss the opportunity to influence adolescent use of other products, which may be especially relevant to low-income individuals. Future research should examine whether targeting a broader range of products reduces SES-related tobacco use disparities.

Indexed as

adolescentslatent class analysispolytobacco usesocioeconomic status

Identifiers

PMID29082301
PMCPMC5654631

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.