Evidence map›Paper›PMID 33272598›Full record

ArticlePreventive medicine2021

Effects of e-cigarette use on cigarette smoking among U.S. youth, 2004-2018.

MeLisa R Creamer, Lauren M Dutra, Saida R Sharapova, Andrea S Gentzke, Kevin L Delucchi, Ruben A Smith, Stanton A Glantz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Household vaping bans and youth e-cigarette use.Addiction (Abingdon, England) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

MeLisa R CreamerOffice on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, United States. Electronic address: melisa.creamer@nih.gov.
Lauren M DutraCenter for Health Analytics, Media, and Policy, RTI International, Berkeley, United States.
Saida R SharapovaOffice on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, United States.
Andrea S GentzkeOffice on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, United States.
Kevin L DelucchiDepartment of Psychiatry, University of California, San Francisco, United States.
Ruben A SmithDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, United States.
Stanton A GlantzCenter for Tobacco Control Research and Education, University of California, San Francisco, United States; Department of Medicine, University of California, San Francisco, United States.

Funding

PROJECT 5: IMPACT OF CHANGING TOBACCO PRODUCT USE ON HEALTHCARE COSTS FOR GENERAL AND VULNERABLE POPULATIONSU54HL147127 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAX, WENDY B · 2018 to 2022
$20.4M
Effect of Tobacco Advocacy at the State LevelR01DA043950 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI APOLLONIO, DOROTHY ELINOR · 2016 to 2020
$2.6M
NHLBI NIH HHS U54 HL147127NIDA NIH HHS R01 DA043950
6 · The paper itself

Abstract

objectiveTo determine if the declining trend in U.S. youth cigarette smoking changed after e-cigarettes were introduced, and if youth e-cigarette users would have been likely to smoke cigarettes based on psychosocial and demographic predictors of smoking.

methodsAn interrupted time series analysis was used for cross-sectional data from the 2004 to 2018 National Youth Tobacco Surveys (NYTS) to assess changes in cigarette and e-cigarette use over time. A multivariable logistic regression model used 2004-2009 NYTS data on psychosocial risk factors to predict individual-level cigarette smoking risk from 2011 to 2018. Model-predicted and actual cigarette smoking behavior were compared.

resultsThe decline in current cigarette smoking slowed in 2014 (-0.75 [95% CI: -0.81, -0.68] to -0.26 [95% CI: -0.40, -0.12] percentage points per year). The decline in ever cigarette smoking accelerated after 2012 (-1.45 [95% CI: -1.59, -1.31] to -1.71 [95% CI: -1.75, -1.66]). Ever and current combined cigarette and/or e-cigarette use declined during 2011-2013 and increased during 2013-2014 with no significant change during 2014-2018 for either variable. The psychosocial model estimated that 69.0% of current cigarette smokers and 9.3% of current e-cigarette users (who did not smoke cigarettes) would smoke cigarettes in 2018.

conclusionsThe introduction of e-cigarettes was followed by a slowing decline in current cigarette smoking, a stall in combined cigarette and e-cigarette use, and an accelerated decline in ever cigarette smoking. Traditional psychosocial risk factors for cigarette smoking suggest that e-cigarette users do not fit the traditional risk profile of cigarette smokers.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsVapingAdolescentCross-Sectional StudiesHumansNicotianaSmokeSurveys and QuestionnairesSmokeAdolescentCigarette smokingE-cigarettesTobacco use

Identifiers

PMID33272598
PMCPMC7796895

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.