Evidence map›Paper›PMID 26922282›Full record

ArticleDrug and alcohol dependence2016

Latent class analysis of current e-cigarette and other substance use in high school students.

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

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Hookah Use Among US Youth: A Systematic Review of the Literature From 2009 to 2017.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Pooled it
  4. Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017
    Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Correlates of youth vaping flavor preferences.Preventive medicine reports · 2020
    Article
  13. Article
  14. Article
  15. Trends of poly-substance use among Canadian youth.Addictive behaviors reports · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Reasons for Vaping Among U.S. 12th Graders.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018
    Article
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.

Meghan E MoreanOberlin College, Department of Psychology, 120 W. Lorain St., Oberlin, OH 44074, USA; Yale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA. Electronic address: meghan.morean@yale.edu.
Grace KongYale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA. Electronic address: grace.kong@yale.edu.
Deepa R CamengaYale School of Medicine, Department of Emergency Medicine, 464 Congress Ave, Ste 260 New Haven, CT 06514, USA. Electronic address: deepa.camenga@yale.edu.
Dana A CavalloYale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA. Electronic address: dana.cavallo@yale.edu.
Patricia SimonYale School of Medicine, The Consultation Center, 389 Whitney Avenue, New Haven, CT 06511, USA. Electronic address: p.simon@yale.edu.
Suchitra Krishnan-SarinYale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA. Electronic address: suchitra.krishnan-sarin@yale.edu.

Funding

TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI PETRY, NANCY M · 1994 to 2018
$40.5M
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
Yale University Clinical and Translational Science Award ProgramKL2TR000140 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$2.9M
Translational Neuroscience Research in Alcoholism (TNRA-TP)T32AA015496 · NIAAA · YALE UNIVERSITY · PI PETRAKIS, ISMENE L. · 2005 to 2014
$1.6M
NCATS NIH HHS KL2 TR000140NCATS NIH HHS UL1 TR000142NIAAA NIH HHS 5T32AA015496NIAAA NIH HHS T32 AA015496NIDA NIH HHS 1K12DA033012-01A1NIDA NIH HHS P50 DA009241NIDA NIH HHS P50DA009241NIDA NIH HHS P50 DA036151
6 · The paper itself

Abstract

objectiveThere is limited research on adolescents' use of e-cigarettes and other substances. MATERIALS AND

methods2241 Connecticut high school students completed anonymous, cross-sectional surveys assessing e-cigarette and other substance use. We used latent class analysis (LCA) to: (1) classify students based on their past-month use of e-cigarettes, cigarettes, cigars, smokeless tobacco, hookah, blunts, marijuana, and alcohol, and (2) determine if age, sex, or race predicted class membership.

resultsPast-month e-cigarette use was 11.6%, and use rates for the remaining substances ranged from 2.8% (smokeless tobacco) to 20.7% (alcohol). The optimal latent class solution comprised four classes: (1) primarily abstainers (81.6%; abstainers), (2) primarily e-cigarette and alcohol users (4.6%; E-cigarette-Alcohol), (3) primarily marijuana and alcohol users (6.9%; Marijuana-Alcohol), and (4) primarily users of all products (6.9%; All Products). Compared to abstainers, (1) all substance-using classes comprised older students, (2) the All Products and E-cigarette-Alcohol classes were more likely to comprise males and less likely to comprise Blacks, and (3) the Marijuana-Alcohol class was more likely to comprise Blacks and Latinos. Relative to the All Products and E-cigarette-Alcohol classes, the Marijuana-Alcohol class was more likely to comprise females, Blacks, and Latinos.

conclusionsLCA identified four substance use classes, two of which included elevated e-cigarette use. Class membership differed by age, sex, and race. Additional research should evaluate characteristics that may explain the different product use profiles identified in the current study including cultural differences, peer group norms, and differing perceptions of the harmfulness of each substance.

Indexed as

Alcohol DrinkingSmokingAdolescentConnecticutCross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleHispanic or LatinoHumansMaleStudentsTobacco ProductsTobacco, SmokelessAdolescentAlcoholCigarettesElectronic cigarettesMarijuanaTobacco

Identifiers

PMID26922282
PMCPMC4809435

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.