Evidence map›Paper›PMID 28038364›Full record

ArticleAddictive behaviors2017

Electronic cigarette use and uptake of cigarette smoking: A longitudinal examination of U.S. college students.

Tory R Spindle, Marzena M Hiler, Megan E Cooke, Thomas Eissenberg, Kenneth S Kendler, Danielle M Dick

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 9 pooled it
15.0field-weighted citation impact, top 1% 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

115 citing papers in PubMed, 9 syntheses or guidelines pooled it, 200 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Trial
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

55 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

6 authors at 1 institution in 1 country.

Tory R SpindleCenter for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, United States; Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States. Electronic address: spindletr@vcu.edu.
Marzena M HilerCenter for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, United States; Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States.
Megan E CookeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States.
Thomas EissenbergCenter for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, United States; Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States.
Kenneth S KendlerDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.
Danielle M DickDepartment of African American Studies, Virginia Commonwealth University, Richmond, VA, United States; Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States; Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, United States; College Behavioral and Emotional Health Institute (COBE), Virginia Commonwealth University, Richmond, VA, United States. Electronic address: ddick@vcu.edu.
Virginia Commonwealth University · US

Funding

Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MICHAEL F MILES · 2014 to 2026
$19.6M
Training and Education Core p270-287P50DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EISSENBERG, THOMAS EVAN · 2013 to 2017
$19.2M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR031990 · NCRR · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLORE, JOHN N. · 2010 to 2011
$7.7M
An Alcohol Affected Sib Pair Study of Alcohol DependenceR37AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2007 to 2016
$6.5M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
The effect of electronic cigarette (ECIG) liquid vehicles on ECIG acute effectsF31DA040319 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SPINDLE, TORY RICHARD · 2015 to 2017
$95k
NCRR NIH HHS UL1 RR031990NIAAA NIH HHS K02 AA018755NIAAA NIH HHS P50 AA022537NIAAA NIH HHS R37 AA011408NIDA NIH HHS F31 DA040319NIDA NIH HHS P50 DA036105
6 · The paper itself

Abstract

introductionElectronic cigarette (e-cigarette) use prevalence is increasing among U.S. adolescents and adults but recent longitudinal data for college/university students are scarce. Furthermore, the extent that e-cigarette use is associated with the onset of cigarette smoking and the factors that lead to the uptake of e-cigarettes in college students has not been explored.

methods3757 participants from a Mid-Atlantic university (women: 66%; White: 45%; Black: 21%; Asian: 19%; Hispanic/Latino: 6%) were surveyed in 2014 and again in 2015.

resultsAmong participants reporting never smoking at time 1, those who had ever tried e-cigarettes or were currently using e-cigarettes (at least one use in past 30days) were more likely to have ever tried cigarettes by time 2 relative to individuals who had not used e-cigarettes. Ever use of e-cigarettes (but not current use) also increased participants' likelihood of being current cigarette smokers at time 2. Among initial never users of e-cigarettes or cigarettes, males and ever marijuana users had an increased probability of trying e-cigarettes by time 2. Furthermore, less perseverance (an index of impulsivity) and ever use of other tobacco products increased initial never users' chances of trying both cigarettes and e-cigarettes by time 2.

conclusionsGiven that never-smoking participants who had tried e-cigarettes were more likely to initiate cigarette use later, limiting young adults' access to these products may be beneficial. As the long-term health implications of e-cigarette use become clearer, predictors of e-cigarette use could help identify future populations likely to use and abuse these products.

Indexed as

AdolescentCigarette SmokingElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMaleStudentsSurveys and QuestionnairesUnited StatesUniversitiesCollege/university studentsElectronic cigarettesLongitudinal tobacco useTobacco cigarettes

Identifiers

PMID28038364
PMCPMC5250543
OpenAlexW2562731505

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.