Evidence map›Paper›PMID 42552112›Full record

ArticleTobacco control2026

Patterns of specialty tobacco retail locations and visitor counts in the USA.

Austin Landini, Christopher Lowenstein, Michael F Pesko

Abstract read
In one paragraph

Article in Tobacco control, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Austin LandiniDepartment of Economics, University of Missouri, Columbia, Missouri, USA.
Christopher LowensteinDepartment of Economics, University of Missouri, Columbia, Missouri, USA clowenstein@missouri.edu.ORCID http://orcid.org/0000-0002-6844-8122
Michael F PeskoDepartment of Economics, University of Missouri, Columbia, Missouri, USA.ORCID http://orcid.org/0000-0002-9247-9703

Funding

The Impacts of Vaping Regulations on Perceptions, Access, Prices, and Tobacco UseR01DA045016 · NIDA · UNIVERSITY OF MISSOURI-COLUMBIA · PI Michael Pesko · 2018 to 2026
$4.2M
NIDA NIH HHS R01 DA045016
6 · The paper itself

Abstract

backgroundSpecialty tobacco retailers, including vape shops, smoke shops and cigar shops, are important sources of tobacco access, yet there is no reproducible national database documenting their locations and consumer engagement.

methodsWe develop a national database of specialty tobacco retailers in the USA by combining Google Maps business listings as of June 2024 with Advan unique visitor count data, updated to May 2024. We match approximately 20 000 businesses across both databases and observe roughly 50 million monthly visits to these locations. We then perform two cross-sectional analyses examining specialty retailer density and visits at the census tract and county levels.

resultsWe find strong clustering of all types of specialty retailers in low-income areas and fewer shops per capita in rural areas. We find that smoke and vape shop density is negatively correlated with both educational attainment and population share of racial and ethnic minorities. Cigar and smoke shops were less common in areas with high shares of young people aged 15-24. Additional businesses are positively associated with total consumer visits, with evidence of spillover effects across shop types.

conclusionsThis study provides the first reproducible national assessment of specialty tobacco retailer locations linked to consumer visit data, offering a new foundation for monitoring retail access and informing tobacco control policy.

Indexed as

EconomicsSurveillance and monitoringTobacco industry

Identifiers

PMID42552112
PMCPMC13480287

What OpenQuestion holds

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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.