Evidence map›Paper›PMID 30171967›Full record

ArticlePreventive medicine2018

The social patterning of electronic nicotine delivery system use among US adults.

LáShauntá M Glover, Jennie Z Ma, Anshula Kesh, Lindsay K Tompkins, Joy L Hart, Delvon T Mattingly, Kandi Walker, Rose Marie Robertson, Tom Payne, Mario Sims

Abstract read
In one paragraph

Article in Preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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  8. Article
  9. Cigarette Use, E-Cigarette Use, and Dual Product Use Are Higher Among Adults With Serious Psychological Distress in the United States: 2014-2017.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
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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

10 authors.

LáShauntá M GloverDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Jennie Z MaSchool of Medicine, University of Virginia, Charlottesville, VA 22904, USA.
Anshula KeshAmerican Heart Association, American Stroke Association, Dallas, TX 75231, USA.
Lindsay K TompkinsDepartment of Epidemiology and Population Health, University of Louisville, KY- 40292, USA.
Joy L HartDepartment of Communication, University of Louisville, KY 40292, USA.
Delvon T MattinglyDepartment of Communication, University of Louisville, KY 40292, USA.
Kandi WalkerDepartment of Communication, University of Louisville, KY 40292, USA.
Rose Marie RobertsonAmerican Heart Association, American Stroke Association, Dallas, TX 75231, USA.
Tom PayneDepartment of Otolaryngology and Communicative Sciences, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Mario SimsDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA. Electronic address: msims2@umc.edu.

Funding

Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2013 to 2017
$20.1M
Social-biological predictors of heterogeneity in CVD risk in African AmericansP60MD002249 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA, MENDES DE LEON, CARLOS F. · 2007 to 2016
$15.0M
Molecular and Soc. Determinants of Obesity and Metabolic Disorders in YouthU54MD008176 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N. · 2012 to 2016
$13.7M
Leukocyte Telomere Length and Cardiovascular Disease in Jackson Heart StudyR01HL116446 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI AVIV, ABRAHAM, REINER, ALEXANDER P · 2013 to 2016
$3.1M
NHLBI NIH HHS P50 HL120163NHLBI NIH HHS R01 HL116446NIMHD NIH HHS P60 MD002249NIMHD NIH HHS U54 MD008176
6 · The paper itself

Abstract

There is little research examining the social patterning of electronic nicotine delivery system (ENDS) use. This study investigated the association between socioeconomic status (SES) (education, income, and employment status) and current and former ENDS use. Data were collected from 2561 participants from the American Heart Association Tobacco Regulatory and Addiction Center (A-TRAC) online survey. Participants were 18-64 years old and reported demographic, SES, and ENDS use. Poisson regression was used to estimate prevalence ratios (PR 95% confidence interval-CI) of participants' current and former (vs. never) ENDS use. Models were adjusted for age, sex, sexual orientation, race/ethnicity, marital status, and reasons for ENDS use. In the unadjusted analysis, ENDS use was primarily patterned by education and employment status. College educated persons (vs. those with less than a high school diploma) had a 37% greater prevalence of current ENDS use (PR 1.37, 95% CI 1.20-1.55), and a 16% greater prevalence of former ENDS use (PR 1.16, 95% CI 1.06-1.28) in the fully-adjusted model. Persons with household incomes above $90 K (vs. less than $20,000) had a greater prevalence of current (PR 1.30, 95% CI 1.19-1.41) and former (PR 1.17, 95% CI 1.05-1.30) ENDS use. Those who were employed (vs. not employed) had a 13% greater prevalence of current ENDS use (PR 1.13, 95% CI 1.07-1.19) after full adjustment. Higher SES (vs. lower SES) persons were more likely to use ENDS.

Indexed as

AdolescentAdultElectronic Nicotine Delivery SystemsEthnicityFemaleHumansInternetMaleMiddle AgedPrevalenceSmokingSmoking CessationSocial ClassSurveys and QuestionnairesUnited StatesVapingA-TRACE-cigarettesENDSSocial patterningSocioeconomic statusVaping

Identifiers

PMID30171967
PMCPMC9186153

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.