Evidence map›Paper›PMID 31535871›Full record

ArticlePsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2019

Expectancies and reasons for use of e-cigarettes among young adults: A longitudinal analysis.

John B Correa, Lyric K Tully, Neal Doran

Abstract read
In one paragraph

Article in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Initial Subjective Response to Nicotine Vaping Predicts Subsequent E-Cigarette Use in Early Adolescence: An ABCD Investigation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Body esteem, weight-control outcome expectancies, and e-cigarette use among young adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    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

3 authors.

John B CorreaMental Health Service.ORCID 0000-0001-6054-3056
Lyric K TullyDepartment of Psychiatry.
Neal DoranMental Health Service.

Funding

Social Cognitive Theory and Nondaily Smoking, Escalation and DesistanceR01DA037217 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORAN, NEAL · 2014 to 2018
$1.9M
NIDA NIH HHS R01 DA037217
6 · The paper itself

Abstract

Use of electronic cigarettes, or e-cigarettes, has increased exponentially in recent years. Mechanisms that might underlie this increase include expectancies and reasons for e-cigarette use. This study was designed to identify and evaluate changes in expectancies and reasons for e-cigarette use among young adults over time and to determine whether such changes were associated with changes in e-cigarette use. Data for these analyses were collected from a sample of 137 young adult e-cigarette users who completed electronic surveys 5 times over a 12-month period. Results yielded five e-cigarette use expectancy and reason factors: Affect-Related Reasons, Social Reasons, Positive Social Expectancies, Positive Internal Expectancies, and Negative Expectancies. Linear mixed models showed that Negative Expectancies significantly increased over time (

Indexed as

Electronic Nicotine Delivery SystemsAdolescentAttitudeFemaleHumansLongitudinal StudiesMaleSurveys and QuestionnairesVapingYoung Adult

Identifiers

PMID31535871
PMCPMC6889054

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.