Evidence map›Paper›PMID 28199715›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2018

The Relationships of Expectancies With E-cigarette Use Among Hospitalized Smokers: A Prospective Longitudinal Study.

Peter S Hendricks, Christopher B Thorne, Sara N Lappan, Noah W Sweat, JeeWon Cheong, Rekha Ramachandran, Connie L Kohler, William C Bailey, Kathleen F Harrington

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Vaping Expectancies: A Qualitative Study among Young AdultSubstance abuse : research and treatment · 2019
    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

9 authors.

Peter S HendricksDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Christopher B ThorneDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Sara N LappanDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Noah W SweatDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
JeeWon CheongDepartment of Health Education and Behavior, College of Health and Human Performance, University of Florida, Gainesville, FL.
Rekha RamachandranDivision of Preventive Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Connie L KohlerDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
William C BaileyDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Kathleen F HarringtonDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL.

Funding

Web-based Smoking Cessation Intervention: transition from inpatient to outpatientU01DA031515 · NIDA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HARRINGTON, KATHY F · 2010 to 2013
$4.0M
The Time Course and Clinical Significance of Early E-cigarette Withdrawal EffectsR01DA036027 · NIDA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HENDRICKS, PETER S. · 2015 to 2019
$1.8M
NIDA NIH HHS R01 DA036027NIDA NIH HHS U01 DA031515
6 · The paper itself

Abstract

Background: Expectancies demonstrate cross-sectional associations with e-cigarette use, but the prospective relationships between expectancies and e-cigarette use are unknown. This study examined the longitudinal associations of expectancies with e-cigarette use among hospitalized tobacco cigarette smokers. Methods: E-cigarette expectancies (e-cigarette-specific Brief Smoking Consequences Questionnaire-Adult [BSCQ-A]), tobacco cigarette expectancies (tobacco-specific BSCQ-A), and number of days used e-cigarettes in the past 30 days were assessed at baseline hospitalization, 6-months post-hospitalization, and 12-months post-hospitalization among 978 hospitalized tobacco cigarette smokers. Expectancy difference scores (e-cigarette-specific expectancies minus tobacco-specific expectancies) were computed for each of the 10 BSCQ-A scales. Cross-lagged panel models tested the relationships between expectancy difference scores and number of days used e-cigarettes in the past 30 days for each of the 10 BSCQ-A scales. Results: Though some models revealed partial associations between expectancies and e-cigarette use, only one yielded results consistent with hypotheses. Greater e-cigarette use at baseline predicted greater expectancies that e-cigarettes taste pleasant as compared to tobacco cigarettes at 6 months, which then predicted greater e-cigarette use at 12 months. To a lesser degree greater expectancies that e-cigarettes taste pleasant as compared to tobacco cigarettes at baseline predicted greater e-cigarette use at 6 months, which then predicted greater expectancies that e-cigarettes taste pleasant as compared to tobacco cigarettes at 12 months. Conclusions: Expectancies that e-cigarettes provide similar or more pleasant taste sensations as compared to tobacco cigarettes may be both a cause and consequence of e-cigarette use. Focusing on the taste experience may prove most effective in modifying e-cigarette use behavior. Implications: The current study offers the first longitudinal examination of expectancies and e-cigarette use. Results suggest expectancies that e-cigarettes provide similar or more pleasant taste sensations relative to tobacco cigarettes are both a cause and consequence of e-cigarette use. Efforts that focus on the e-cigarette taste experience may prove most effective in modifying e-cigarette use behavior.

Indexed as

AdultAgedAttitude to HealthCross-Sectional StudiesFemaleHumansInpatientsLongitudinal StudiesMaleMiddle AgedProspective StudiesSmokersSmokingSurveys and QuestionnairesTobacco ProductsVaping

Identifiers

PMID28199715
PMCPMC5896545

What OpenQuestion holds

Textmetadata
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.