Evidence map›Paper›PMID 27207853›Full record

ArticleTobacco control2017

Support for electronic cigarette regulations among California voters.

Jennifer B Unger, Dianne Barker, Lourdes Baezconde-Garbanati, Daniel W Soto, Steve Sussman

Abstract read
In one paragraph

Article in Tobacco control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017
    Pooled it
  2. Article
  3. Salud publica de Mexico · 2023
    Article
  4. Article
  5. Support for Aggressive Tobacco Control Interventions Among California Adolescents and Young Adults.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Public Support for Electronic Cigarette Regulation in Hong Kong: A Population-Based Cross-Sectional Study.International journal of environmental research and public health · 2017
    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

5 authors.

Jennifer B UngerUniversity of Southern California Keck School of Medicine, Los Angeles, California, USA.
Dianne BarkerBarker Bi-Coastal Health Consultants, Inc, Calabasas, California, USA.
Lourdes Baezconde-GarbanatiUniversity of Southern California Keck School of Medicine, Los Angeles, California, USA.
Daniel W SotoUniversity of Southern California Keck School of Medicine, Los Angeles, California, USA.
Steve SussmanUniversity of Southern California Keck School of Medicine, Los Angeles, California, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

Policies regulating the sale and use of electronic cigarettes (e-cigarettes) vary widely within the USA and worldwide. We assessed support for four proposed policies among a representative sample of California voters (N=1002) and identified latent classes of voters who were likely to support or oppose various policies. Findings showed support for prohibiting e-cigarette use where smoking is banned (70%), taxing e-cigarettes (74%), licensing e-cigarette retailers (74%), and restricting flavourings (57%). Correlates of policy support included smoking status, political orientation, age group and California region. The latent class analysis revealed three classes of voters: Policy Supporters (predominantly college-educated, higher-income, liberal non-smokers), Policy Opposers (predominantly low-educated, low-income, conservative smokers), and Swing Voters (intermediate levels of education, income, and smoking, conservative). Findings provide information to inform segmented state-based communication campaigns regarding regulation of e-cigarettes. If policymakers want to enact prohibitive state-level policies, Opposers and Swing Voters may be important constituents to target.

Indexed as

PoliticsAdultAgedAged, 80 and overCaliforniaCommerceElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedSmoke-Free PolicySmokingSurveys and QuestionnairesTaxesYoung AdultElectronic nicotine delivery devicesNon-cigarette tobacco productsPublic opinionPublic policy

Identifiers

PMID27207853
PMCPMC7453498

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.