Cited by 195Smoking Behavior and CessationSubstance Abuse Treatment and OutcomesImpact of Technology on Adolescents

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

Open access
Spindle, Tory R., Hiler, Marzena M., Cooke, Megan E., Eissenberg, Thomas, Kendler, Kenneth S., Dick, Danielle M.·2017·Addictive Behaviors

Abstract

Introduction Electronic 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.Methods 3757 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.Results Among 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.Conclusions Given 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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.addbeh.2016.12.009

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Berry WD Feldman S 1985 Multiple Regression in Practice (Quantitative Applications in the Social Sciences) SAGE Publications, Inc

Cited by

Sorted by citations

Authors
Spindle, T. R., Hiler, M. M., Cooke, M. E., Eissenberg, T., Kendler, K. S., & Dick, D. M.
Affiliations
Virginia Commonwealth University (US)
Corresponding author
  • Spindle, Tory R.
  • Dick, Danielle M.
Venue
Addictive Behaviors
Publisher
Elsevier BV
Published
2017-04
Volume
67
Pages
66-72
ISSN
0306-4603 (ISSN-L)
OpenAlex
W2562731505
Cited by
195
References
48
Citations by year
2026: 3 · 2025: 7 · 2024: 8 · 2023: 14 · 2022: 19 · 2021: 35 · 2020: 32 · 2019: 34 · 2018: 31 · 2017: 12
FWCI
20.64
Type
journal article
Language
en
Open access
Locations
  • Addictive Behaviors (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Covis Pharma
  • National Institutes of Health
  • National Institute on Alcohol Abuse and Alcoholism (K02AA018755, R37AA011408, P50AA022537)
  • National Institute on Drug Abuse (P50DA036105, F31DA040319)
  • National Center for Research Resources (UL1RR031990)
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
electronic cigarettes, cigarette smoking initiation, university students, young adults, cannabis use, impulsivity, tobacco product use, never smokers
MeSH terms
Cigarette Smoking, Adolescent, Female, Humans, Longitudinal Studies, Male, Surveys and Questionnaires, Students, United States, Universities, Electronic Nicotine Delivery Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review