Evidence map›Paper›PMID 28485553›Full record

ArticlePublic health nursing (Boston, Mass.)2017

Advertising exposure and use of e-cigarettes among female current and former tobacco users of childbearing age.

Kristin Ashford, Emily Rayens, Amanda T Wiggins, Mary Kay Rayens, Amanda Fallin, Molly Malany Sayre

Open access · greenAbstract read
In one paragraph

Article in Public health nursing (Boston, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  15. E-Cigarette Marketing and Communication: How E-Cigarette Companies Market E-Cigarettes and the Public Engages with E-cigarette Information.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Review
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 3 institutions in 1 country.

Kristin AshfordUniversity of Kentucky College of Nursing, Lexington, KY, USA.
Emily RayensUniversity of Georgia, Athens, GA, USA.
Amanda T WigginsUniversity of Kentucky College of Nursing, Lexington, KY, USA.
Mary Kay RayensUniversity of Kentucky College of Nursing, Lexington, KY, USA.
Amanda FallinUniversity of Kentucky College of Nursing, Lexington, KY, USA.
Molly Malany SayreMiami University, Oxford, OH, USA.ORCID 0000-0002-8751-2484
University of Kentucky · USMiami University · USUniversity of Georgia · US

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
The impact of electronic cigarettes (e-cigs) on perinatal immune responsiveness and birth outcomes in AppalachiaR01DA040694 · NIDA · UNIVERSITY OF KENTUCKY · PI ASHFORD, KRISTIN H. · 2015 to 2018
$2.5M
Kentucky Center for Clinical and Translational ScienceKL2RR033171 · NCRR · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2011 to 2011
$302k
NCATS NIH HHS UL1 TR000117NCRR NIH HHS KL2 RR033171NIDA NIH HHS R01 DA040694
6 · The paper itself

Abstract

objectiveThe study examined the relationship between exposure to e-cigarette advertising and e-cigarette use by pregnancy status, including use of flavored e-cigarette products, among women of childbearing age.

designA cross-sectional, correlational design was used. SUBJECTS: Female current or former tobacco users in Central and Eastern Kentucky, 18-45 years old (N = 194, 52% pregnant). MEASURES: Demographics, pregnancy status, cigarette and e-cigarette use, and exposure to e-cigarette advertising.

resultsYounger age, white non-Hispanic race, and greater exposure to e-cigarette advertising were associated with a higher likelihood of ever using e-cigarettes (p < .05 for each variable). Pregnancy was not associated with ever use (p = .11). Younger age was associated with use of flavored e-cigarettes (p = .0027). Among e-cigarette users, those who used flavored products were more likely to have seen advertisements or information about e-cigarettes on social media, compared to those who used unflavored e-cigarettes only (p = .016).

conclusionThere is a link between advertising exposure and ever use of e-cigarettes. Pregnancy status is not significantly associated with ever use. Use of flavored e-cigarettes is associated with younger age. E-cigarette users with greater exposure to advertising on social media were more likely to use flavored products.

Indexed as

AdolescentAdultAdvertisingAge DistributionCross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleFlavoring AgentsHumansKentuckyMiddle AgedPregnancySmokingYoung AdultFlavoring Agentsadvertising exposuree-cigarettesflavored e-cigarettestobacco usewomen

Identifiers

PMID28485553
PMCPMC5610600
OpenAlexW2613467462

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.