Evidence map›Paper›PMID 30459182›Full record

ArticleTobacco control2019

Examining the relationship of vaping to smoking initiation among US youth and young adults: a reality check.

David T Levy, Kenneth E Warner, K Michael Cummings, David Hammond, Charlene Kuo, Geoffrey T Fong, James F Thrasher, Maciej Lukasz Goniewicz, Ron Borland

Abstract read
In one paragraph

Article in Tobacco control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing 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

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

  1. Pooled it
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  7. Vaping-related lung disease: a narrative review.Journal of thoracic disease · 2026
    Review
  8. The feasibility and acceptability of Live Free From E-Cigarettes (LIFFE): A web-based vaping intervention and smoking prevention program for young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
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59 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

9 authors.

David T LevyCancer Prevention and Control, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA.
Kenneth E WarnerDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
K Michael CummingsDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID 0000-0002-7103-7017
David HammondSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Charlene KuoCancer Prevention and Control, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA.
Geoffrey T FongDepartment of Psychology, School of Public Health and Health Systems, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
James F ThrasherHealth Promotion, Education, and Behavior, School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Maciej Lukasz GoniewiczDepartment of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Ron BorlandNigel Gray Distinguished Fellow in Cancer Prevention, Cancer Council Victoria, Carlton, Victoria, Australia.ORCID 0000-0003-0059-178X

Funding

Vaporized Nicotine Product Initiation Among Youth in the US, Canada, and England: Methods to Predict Uptake and Policy EfficacyP01CA200512 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HAMMOND, DAVID · 2016 to 2025
$25.3M
NCI NIH HHS P01 CA200512
6 · The paper itself

Abstract

backgroundThe 2018 National Academies of Sciences, Engineering, and Medicine Report found substantial evidence that electronic cigarette use (vaping) by youth is strongly associated with an increased risk of ever using cigarettes (smoking) and moderately associated with progressing to more established smoking. However, the Report also noted that recent increases in vaping have been associated with declining rates of youth smoking. This paper examines the temporal relationship between vaping and youth smoking using multiple data sets to explore the question of whether vaping promotes smoking initiation in the USA.

methodsUsing publicly available, nationally representative data on smoking and vaping among youth and young adults, we conducted a trend line analysis of deviations from long-term trends in smoking starting from when vaping became more prevalent.

resultsThere was a substantial increase in youth vaping prevalence beginning in about 2014. Time trend analyses showed that the decline in past 30-day smoking prevalence accelerated by two to four times after 2014. Indicators of more established smoking rates, including the proportion of daily smokers among past 30-day smokers, also decreased more rapidly as vaping became more prevalent.

conclusionsThe inverse relationship between vaping and smoking was robust across different data sets for both youth and young adults and for current and more established smoking. While trying electronic cigarettes may causally increase smoking among some youth, the aggregate effect at the population level appears to be negligible given the reduction in smoking initiation during the period of vaping's ascendance.

Indexed as

Cigarette SmokingTobacco SmokingVapingAdolescentAdolescent BehaviorBehavior, AddictiveElectronic Nicotine Delivery SystemsFemaleHarm ReductionHumansMalePrevalencePreventive Health ServicesUnited StatesYoung Adultelectronic nicotine delivery devicesharm reductionsurveillance and monitoring

Identifiers

PMID30459182
PMCPMC6860409

What OpenQuestion holds

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LicenceCC BY-NC
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.