Evidence map›Paper›PMID 31605837›Full record

ArticleAddictive behaviors2020

Characteristics of us adults attempting tobacco use cessation using e-cigarettes.

Onyema Greg Chido-Amajuoyi, Dale Mantey, Sonia Cunningham, Robert Yu, Steven Kelder, Ernest Hawk, Paul Cinciripini, Sanjay Shete

Abstract read
In one paragraph

Article in Addictive behaviors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A National Map of NCI-Designated Cancer Center Catchment Areas on the 50th Anniversary of the Cancer Centers Program.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  5. Article
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  7. 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

8 authors.

Onyema Greg Chido-AmajuoyiDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, USA.
Dale ManteyDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Sonia CunninghamDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Robert YuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Steven KelderDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Ernest HawkDivision of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, USA.
Paul CinciripiniDepartment of Behavioral Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sanjay SheteDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, USA; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: sshete@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundUse of e-cigarettes for tobacco cessation efforts is a growing trend in the United States. However, little is known about the factors that determine the use of e-cigarettes for this specific purpose.

methodsThis study examined current and former cigarette smokers that reported ever using e-cigarettes. Data were obtained from a 2018 Texas population health assessment survey (n = 569) and weighted to be representative to Texas. A multivariable logistic regression was used to assess the socio-demographic and behavioral correlates of using e-cigarettes for tobacco cessation.

resultsOverall, 41.3% of e-cigarette users reported using them for tobacco cessation. Among ever e-cigarette users, Non-Hispanic blacks (aOR: 0.21; 95% CI, 0.07-0.64), males (aOR: 0.40; 95% CI, 0.20-0.80), and individuals not confident in obtaining health information (aOR: 0.38; 95% CI, 0.15-0.96) were less likely to use e-cigarettes for tobacco use cessation. Conversely, among ever e-cigarette users, odds of using e-cigarettes for tobacco cessation were higher among those who were 35-44 years old (aOR: 3.68, 95% CI: 1.26-10.71), those who received advice to quit smoking from a healthcare professional (aOR: 2.77, 95% CI, 1.36-5.64), and those with more than 5 years since their last routine checkup (aOR: 3.91; 95% CI, 1.23-12.45).

conclusionFindings from this study suggest that both health behaviors and sociodemographic factors predict use of e-cigarettes for the purpose of tobacco cessation. Furthermore, the relationship between use of e-cigarettes as a cessation device and being advised to quit tobacco use by a healthcare professional calls for additional investigation.

Indexed as

Electronic Nicotine Delivery SystemsVapingAdultAgedCultural DiversityEthnicityFemaleHealth BehaviorHealth SurveysHumansMaleMiddle AgedSmokersSocioeconomic FactorsTexasTobacco Use CessationCessationE-cigaretteHealth behaviorsSociodemographicTobacco

Identifiers

PMID31605837
PMCPMC6905082

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Registered trials

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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.