Evidence map›Paper›PMID 33231634›Full record

ArticleJAMA network open2020

Association of Electronic Nicotine Delivery System Use With Cigarette Smoking Progression or Reduction Among Young Adults.

Jennifer L Pearson, Eva Sharma, Ning Rui, Michael J Halenar, Amanda L Johnson, K Michael Cummings, Hoda T Hammad, Annette R Kaufman, Cindy Tworek, Maciej L Goniewicz and 13 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Vaping-related lung disease: a narrative review.Journal of thoracic disease · 2026
    Review
  3. Review
  4. Acute exposure to electronic cigarette components alters mRNA expression of pre-osteoblasts.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013-2017) of the PATH Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 10 institutions in 1 country.

Jennifer L PearsonDivision of Social and Behavioral Science/Health Administration and Policy, School of Community Health Sciences, University of Nevada, Reno.
Eva SharmaWestat, Rockville, Maryland.
Ning RuiWestat, Rockville, Maryland.
Michael J HalenarWestat, Rockville, Maryland.
Amanda L JohnsonOffice of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland.
K Michael CummingsDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston.
Hoda T HammadOffice of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland.
Annette R KaufmanDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Cindy TworekOffice of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland.
Maciej L GoniewiczDivision of Cancer Prevention and Population Sciences, Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Heather L KimmelDivision of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland.
Susanne TanskiNorris Cotton Cancer Center and Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Wilson M ComptonNational Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland.
Hannah DayOffice of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland.
Bridget K AmbroseOffice of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland.
Maansi Bansal-TraversDivision of Cancer Prevention and Population Sciences, Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Marushka L SilveiraDivision of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland.
David AbramsDepartment of Social and Behavioral Sciences, NYU College of Global Public Health, New York University, New York.
Jeannie LimpertOffice of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland.
Mark J TraversDivision of Cancer Prevention and Population Sciences, Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Nicolette BorekOffice of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland.
Andrew J HylandDivision of Cancer Prevention and Population Sciences, Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Cassandra A StantonWestat, Rockville, Maryland.
Office of Science · USRoswell Park Comprehensive Cancer Center · USNational Institute on Drug Abuse · USWestat (United States) · USDartmouth Institute for Health Policy and Clinical Practice · USGeorgetown University · USMedical University of South Carolina · USNational Institutes of Health · USNew York University · USUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The prevalence of electronic nicotine delivery systems (ENDS) use, including e-cigarettes, among US young adults (YAs) has raised questions about how these products may affect future tobacco and nicotine use among YAs. Given this prevalence and that young adulthood is a critical period for the establishment of tobacco and nicotine use, it is important to consider the association between ENDS use and cigarette smoking specifically in this age group. Objective: To examine whether ENDS use frequency or intensity is associated with changes in cigarette smoking among US YA ever smokers during 1 year. Design, Setting, and Participants: This cohort study used 3 waves of data (2013-2014, 2014-2015, and 2015-2016) from the Population Assessment of Tobacco and Health (PATH) Study, an ongoing longitudinal cohort study of adults and youth. Unweighted 1:6 propensity score matching was used to match participants on wave 1 risk factors for ENDS use at wave 2. The changes in smoking between wave 2 and wave 3 were assessed using the matched sample. In total, 1096 ENDS-naive, ever cigarette-smoking YAs (18-24 years of age) at wave 1 who participated in wave 2 and wave 3 and who had complete data in the PATH Study were included in the analyses, which were conducted from August 2018 to October 2019. Exposures: Never ENDS use (n = 987), any previous 30-day ENDS use (n = 109), 1 to 5 days of ENDS use in the previous 30 days (n = 75), and 6 or more days ENDS use in the previous 30 days at wave 2 (n = 34). Main Outcomes and Measures: The analytic sample was selected using multiple variables based on peer-reviewed literature supporting associations with ENDS use. The main outcomes-changes in cigarette smoking behavior between wave 2 and wave 3-were defined using 2 measures: (1) change in smoking frequency, defined as the number of smoking days in the previous 30 days at wave 3 vs wave 2, and (2) change in smoking intensity, defined as the number smoking days in the previous 30 days multiplied by the mean number of cigarettes consumed on smoking days at wave 3 vs wave 2. Results: The present cohort analyses included 1096 YA ever smokers who were ENDS naive at wave 1. The majority of the sample were women (609 [55.6%]) and White individuals (698 [63.7%]), and the mean (SD) age was 21.4 (1.9) years. In wave 1, 161 YAs (14.7%) were daily smokers in the previous 30 days. After propensity score matching, no statistically significant associations were observed between any definition of wave 2 ENDS use and changes in either the frequency or intensity of smoking at wave 3. Conclusions and Relevance: In this cohort study of US YA ever smokers, ENDS use was not associated with either decreased or increased cigarette smoking during a 1-year period. However, it is possible that the rapidly evolving marketplace of vaping products may lead to different trajectories of YA cigarette and ENDS use in the future.

Indexed as

AdultCigarette SmokingCohort StudiesElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMalePrevalenceRisk FactorsSmoking CessationSocioeconomic FactorsUnited StatesVapingYoung Adult

Identifiers

PMID33231634
PMCPMC7686868
OpenAlexW3106927411

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.