Evidence map›Paper›PMID 30978519›Full record

ArticleDrug and alcohol dependence2019

Association of electronic cigarette vaping and subsequent smoking relapse among former smokers.

Hongying Dai, Adam M Leventhal

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cigarette Smoking Relapse Among People Who Switched to E-cigarettes or Other Tobacco Products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  11. Article
  12. Biomarkers of Nicotine and Toxicant Exposure by E-Liquid Nicotine Concentration Level among US Adult Exclusive E-Cigarette Users.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  13. Article
  14. Article
  15. Comparison of smoking prevalence in Canada before and after nicotine vaping product access using the SimSmoke model.Canadian journal of public health = Revue canadienne de sante publique · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Hongying DaiDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, 984375 Nebraska Medical Center, Omaha, NE, 68198-4375, United States. Electronic address: daisy.dai@unmc.edu.
Adam M LeventhalDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, United States; Department of Psychology, University of Southern California, Los Angeles, United States; USC Norris Comprehensive Cancer Center, Los Angeles, United States. Electronic address: adam.leventhal@usc.edu.

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jessica Louise Barrington-Trimis · 2018 to 2026
$39.0M
Effects of the FDA Compliance Inspections of Tobacco Retailers on Youth E-cigarette and Cigar Use: A National StudyR03CA228909 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI DAI, HONGYING DAISY · 2018 to 2019
$165k
NCI NIH HHS R03 CA228909NCI NIH HHS U54 CA180905
6 · The paper itself

Abstract

backgroundFormer combustible cigarette smokers who vape e-cigarettes after quitting smoking may experience health benefits if post-quit vaping prevents smoking relapse.

methodsFormer combustible cigarette smokers aged >18 that were recent (quit ≤ 12 months) or long-term (quit > 12 months) quitters at baseline were re-surveyed at 1-year follow-up in the Population Assessment of Tobacco and Health (PATH) U.S. nationally-representative longitudinal study. Associations of baseline e-cigarette vaping status (never use, prior use, current occasional use, and current regular use) and smoking relapse (vs. abstinence) at follow-up were estimated.

resultsAmong recent quitters (N = 884), the prevalence of follow-up smoking relapse was 31.6%, 39.0%, 51.6%, and 31.9% among never (N = 233), prior (N = 399), current occasional (N = 56), and current regular (N = 196) baseline e-cigarette users, respectively. Baseline e-cigarette use was not associated with smoking relapse at follow-up after covariate adjustment. In long-term quitters (n = 3210), follow-up smoking relapse was 1.8%, 10.4%, 9.6%, and 15.0% among never (N = 2479), prior (N = 588), current occasional (N = 45), and current regular (N = 98) baseline e-cigarette users, respectively. Both prior use (AOR = 2.00, CI [1.25-3.20]) and current regular use of e-cigarettes (AOR = 3.77, CI [1.48-9.65]) had higher odds of subsequent smoking relapse as compared to never e-cigarette users after covariate adjustment. Among relapsers, baseline e-cigarette vaping was not associated with smoking frequency or intensity at follow-up.

conclusionsVaping more than one year after quitting smoking was associated with smoking relapse at 12-month follow-up in a nationally-representative sample. Further studies are needed to evaluate whether this association is causal.

Indexed as

Electronic Nicotine Delivery SystemsAdolescentAdultAgedCohort StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedRecurrenceSmokersSmoking CessationSurveys and QuestionnairesVapingAdultsE-CigarettesPATH studyQuit smokingSmokingSmoking relapse

Identifiers

PMID30978519
PMCPMC6743978

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.