Evidence map›Paper›PMID 32566458›Full record

ArticlePreventive medicine reports2020

Vape shop identification, density and place characteristics in six metropolitan areas across the US.

Carla J Berg, Nina C Schleicher, Trent O Johnson, Dianne C Barker, Betelihem Getachew, Amber Weber, Amy J Park, Akilah Patterson, Sarah Dorvil, Robert T Fairman and 2 more

Abstract read
In one paragraph

Article in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. The emergence of e-cigarette retail shops in a regulated tobacco control environment.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023
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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

12 authors.

Carla J BergDepartment of Preventive and Community Health, Milken School of Public Health, George Washington University, Washington, DC, USA.
Nina C SchleicherStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 3300 Hillview Ave, Suite 120, Palo Alto, CA 94304, USA.
Trent O JohnsonStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 3300 Hillview Ave, Suite 120, Palo Alto, CA 94304, USA.
Dianne C BarkerBarker Bi-Coastal Health Consultants, Inc., 20 Ellery Rd, Newport, RI 02840, USA.
Betelihem GetachewDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Amber WeberDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Amy J ParkDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Akilah PattersonDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Sarah DorvilDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Robert T FairmanDepartment of Health Policy and Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
Christina MeyersDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Lisa HenriksenStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 3300 Hillview Ave, Suite 120, Palo Alto, CA 94304, USA.

Funding

Regulatory Impact on Vape Shops and Young Adults' Use of ENDS - Diversity SupplementR01CA215155 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J · 2018 to 2022
$3.4M
NCI NIH HHS R01 CA215155
6 · The paper itself

Abstract

Vaping is increasingly prevalent and controversial. Vape shops and convenience stores are common but distinct sources of vaping products, and where they locate may reflect likely target markets. This study examined the density and neighborhood demographics of vape shops and convenience stores in six metropolitan statistical areas (MSAs): Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, Seattle. We identified 459 vape shops using Yelp and Google application programming interfaces and 10,777 convenience stores using ReferenceUSA and Dun & Bradstreet. Retailers were geocoded to census tracts (n = 4,442), and logistic regressions were conducted using as predictors percent non-White, percent youth (5-17 years or 5-20 years), and median household income from the American Community Survey, 2013-2017. Per 10,000 young adults, vape shop density ranged from 0.6 (Boston, San Diego) to 1.7 (Oklahoma City), and convenience store density ranged from 12.6 (San Diego) to 26.3 (Oklahoma City). Logistic regressions indicated that vape shops more likely resided in tracts with lower percentages of youth in Boston, but higher percentages of youth in Atlanta, as well as with lower incomes in Boston and Seattle. Convenience stores more likely resided in tracts with lower percentages of non-Whites in Atlanta and Boston; lower incomes in Atlanta, Boston, San Diego, and Seattle; and higher percentages of youth in Atlanta, Boston, and Minneapolis. These common retail sources of vaping products differentially locate in relation to neighborhood sociodemographics across MSAs. Findings suggest that, in some MSAs, vape shops and convenience stores may target youth and lower income populations.

Indexed as

Alternative tobacco productsE-cigarettesFDA, Food and Drug AdministrationMSA, metropolitan statistical areaPolicyRetail marketingTobacco controlVAPES, Vape shop Advertising, Place characteristics and Effects SurveillanceVaping

Identifiers

PMID32566458
PMCPMC7298674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.