Evidence map›Paper›PMID 29019917›Full record

ArticleInternational journal of environmental research and public health2017

The Prevalence and Characteristics of E-Cigarette Users in the U.S.

David T Levy, Zhe Yuan, Yameng Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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

  1. The prevalence of electronic cigarettes vaping globally: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2022
    Pooled it
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  20. Prevalence and Distribution of Electronic Cigarette Use Before and During Pregnancy Among Women in 38 States of the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
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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

3 authors.

David T LevyLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA. dl777@georgetown.edu.
Zhe YuanLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA. zy70@georgetown.edu.
Yameng LiLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA. yl954@georgetown.edu.

Funding

Vaporized Nicotine Product Initiation Among Youth in the US, Canada, and England: Methods to Predict Uptake and Policy EfficacyP01CA200512 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FONG, GEOFFREY T · 2016 to 2025
$25.3M
NCI NIH HHS P01 CA200512
6 · The paper itself

Abstract

Studies have examined the characteristics of individuals who use e-cigarettes, including sociodemographic and smoking characteristics, and the relationship of e-cigarette use to tobacco control policies. While most studies consider a subset of these characteristics with weak measures of regular e-cigarette use, this study uses a large, recent U.S. survey to simultaneously consider the association of each of these factors with different use measures. Data from the May 2014 Tobacco Use Supplement-Current Population Survey is supplemented with information on tobacco control policies. The prevalence of ever, current (at least 1 of the last 30 days), and regular (at least 20 of the last 30 days) e-cigarette use were 7.7%, 2.1% and 0.9%, implying that 27.0% of ever users were current users of which 45.3% were regular users. E-cigarette use varied by socio-demographic characteristics and by smoking status, and depended on the measure of use adopted. However, regardless of measures, e-cigarette use was higher among those smokers who smoked more cigarettes. The association with policies was generally weak, but we found more regular use by smokers in low tax and low tobacco control spending states. The results indicate that the user characteristics differ depending on the e-cigarette use measure. The measure of use should be carefully considered in analyzing how e-cigarette use affects cigarette use.

Indexed as

AdolescentAdultAgedElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedPrevalencePublic PolicySmokingSmoking CessationSurveys and QuestionnairesUnited StatesYoung Adultdemographicse-cigarettes, prevalenceelectronic cigarettespublic policy

Identifiers

PMID29019917
PMCPMC5664701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.