Evidence map›Paper›PMID 27076440›Full record

ArticlePublic health2016

The inequitable distribution of tobacco outlet density: the role of income in two Black Mid-Atlantic geopolitical areas.

D O Fakunle, A J Milam, C D Furr-Holden, J Butler, R J Thorpe, T A LaVeist

Open access · greenAbstract read
In one paragraph

Article in Public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Tobacco retailer density and rurality across four US states: California, Connecticut, North Carolina, and Ohio.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  6. The Association between State-Level Structural Racism and Alcohol and Tobacco Use Behaviors among a National Probability Sample of Black Americans.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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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

6 authors at 3 institutions in 1 country.

D O FakunleDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. Electronic address: dfakunl1@jhu.edu.
A J MilamDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; School of Medicine, Wayne State University, Detroit, MI, United States.
C D Furr-HoldenDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
J ButlerDepartment of Behavioral and Community Health, University of Maryland School of Public Health, College Park, MD, United States.
R J ThorpeDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
T A LaVeistDepartment of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of Health Policy and Management, George Washington University Milken Institute School of Public Health, Washington, DC, United States.
Johns Hopkins University · USMilken Institute · USUniversity of Maryland, College Park · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Residential Segregation and Health Care Disparities P60MD000214 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI LAVEIST, THOMAS ALEXIS · 2002 to 2016
$16.8M
JHU Center for the Prevention of Youth ViolenceU01CE001954 · CE · JOHNS HOPKINS UNIVERSITY · PI LEAF, PHILIP J · 2011 to 2015
$5.5M
Smoking Cessation among Residents of Public HousingK01CA134939 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI BUTLER III, JAMES · 2009 to 2013
$652k
NCI NIH HHS K01 CA134939NCIPC CDC HHS U01 CE001954NIDA NIH HHS T32 DA007292NIMHD NIH HHS P60 MD000214
6 · The paper itself

Abstract

objectivesStudies have shown that communities with higher concentrations of low-income racial and ethnic minorities correlate with a greater presence of tobacco outlets. Community-level income has consistently been among the strongest predictors of tobacco outlet density. This study analyzes two Maryland geopolitical areas with similar racial concentrations yet differing income levels in an attempt to disentangle the race-income relationship with tobacco outlet density. STUDY

designIn this cross-sectional examination of tobacco outlet and census tract-level sociodemographic data, Baltimore City, Maryland, and Prince George's County, Maryland, were geocoded to determine tobacco outlet density.

methodsTobacco outlet density was defined as the mean number of tobacco outlets per 1000 persons per census tract. Comparisons of tobacco outlet density and sociodemographic variables were analysed via two-sample t-tests, and the direct effect of sociodemographic variables on tobacco outlet density for each area was analysed via spatial lag regressions.

resultsPrince George's County, the area with the higher income level ($77,190 vs $43,571), has a significantly lower tobacco outlet density than Baltimore City (P < 0.001). Prince George's County has a 67.5% Black population and an average of 3.94 tobacco outlets per 1000 persons per tract. By contrast, Baltimore City has a 65.3% Black population and an average of 7.95 tobacco outlets per 1000 persons per tract. Spatial lag regression model results indicate an inverse relationship between income and tobacco outlet density in Baltimore City and Prince George's County (β = -0.03, P < 0.01 &β = -0.01, P = 0.02, respectively), and a significant interaction term indicating a greater magnitude in the relationship between income and tobacco outlet density in Baltimore City (β = -0.05, P < 0.01).

conclusionResults suggest that higher socio-economic status, even in primarily underrepresented racial and ethnic geopolitical areas, is linked to lower tobacco outlet density.

Indexed as

Black or African AmericanCommerceCross-Sectional StudiesHumansIncomeMarylandResidence CharacteristicsTobacco ProductsCensus tractsCommunitiesGeopolitical areasIncomeRaceTobacco outlets

Identifiers

PMID27076440
PMCPMC4930734
OpenAlexW2320740045

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.