Evidence map›Paper›PMID 40829414›Full record

ArticleHealth & place2025

Cooling down hotspots of retail tobacco products: addressing disparities in the built environment through policy.

Todd Combs, Veronica Chaitan, Shelley Golden, Kurt Ribisl, Lisa Henriksen, Douglas Luke

Abstract read
In one paragraph

Article in Health & place, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Todd CombsBrown School, Washington University in St. Louis, United States. Electronic address: toddcombs@wustl.edu.
Veronica ChaitanBrown School, Washington University in St. Louis, United States.
Shelley GoldenGillings School of Global Public Health, The University of North Carolina at Chapel Hill, United States; UNC Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, United States.
Kurt RibislGillings School of Global Public Health, The University of North Carolina at Chapel Hill, United States; UNC Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, United States.
Lisa HenriksenStanford Prevention Research Center, Stanford University School of Medicine, United States.
Douglas LukeBrown School, Washington University in St. Louis, United States.

Funding

Project 3: Tobacco Town Policy ModelingP01CA225597 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HENRIKSEN, LISA ANNE, LUKE, DOUGLAS A · 2018 to 2023
$11.5M
NCI NIH HHS P01 CA225597
6 · The paper itself

Abstract

Multiple disparities exist in the built environment for retail tobacco. Disproportionate concentrations of retail outlets result in variation in the availability of tobacco products, consumer access, and exposure to tobacco marketing. Neighborhoods with higher tobacco retail density have higher tobacco use than neighborhoods with lower density. Local policies focused on reducing tobacco retail concentration can address systematic disparities in the built environment. Using census-based synthetic populations for 30 US cities and retail tobacco location data, we simulated the disparity-reducing potential of three retail reduction policies: capping the number of available retail tobacco sales licenses, and minimum distance requirements between schools and retail locations and between retail locations themselves. Outcomes included retail concentration in density (stores/km

Indexed as

Built EnvironmentCommerceTobacco ProductsHumansNeighborhood CharacteristicsResidence CharacteristicsUnited States

Identifiers

PMID40829414
PMCPMC12931445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.