Evidence map›Paper›PMID 28249990›Full record

ArticleJournal of epidemiology and community health2017

Inequalities in tobacco outlet density by race, ethnicity and socioeconomic status, 2012, USA: results from the ASPiRE Study.

Joseph G L Lee, Dennis L Sun, Nina M Schleicher, Kurt M Ribisl, Douglas A Luke, Lisa Henriksen

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

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

  1. Pooled it
  2. The Relationship between Combined State and Local Tobacco Retail Licensing Laws and Retailer Density: The Case in California (2012-2021).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  6. 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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  16. The availability and distribution of vaping retailers across Ontario neighbourhoods, 2016-2019.Canadian journal of public health = Revue canadienne de sante publique · 2023
    Article
  17. Review
  18. Urban-rural differences in tobacco product availability in food retailers, United States, 2017.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023
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  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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.

Joseph G L LeeDepartment of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, North Carolina, USA.ORCID 0000-0001-9698-649X
Dennis L SunDepartment of Statistics, College of Science and Mathematics, Cal Poly, San Luis Obispo, California, USA.
Nina M SchleicherStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, California, USA.
Kurt M RibislDepartment of Health Behavior, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina, USA.
Douglas A LukeGeorge Warren Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri, USA.
Lisa HenriksenStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, California, USA.

Funding

Maximizing state & local policies to restrict tobacco marketing at point of saleU01CA154281 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HENRIKSEN, LISA ANNE, LUKE, DOUGLAS A · 2011 to 2015
$6.3M
NCI NIH HHS U01 CA154281
6 · The paper itself

Abstract

backgroundEvidence of racial/ethnic inequalities in tobacco outlet density is limited by: (1) reliance on studies from single counties or states, (2) limited attention to spatial dependence, and (3) an unclear theory-based relationship between neighbourhood composition and tobacco outlet density.

methodsIn 97 counties from the contiguous USA, we calculated the 2012 density of likely tobacco outlets (N=90 407), defined as tobacco outlets per 1000 population in census tracts (n=17 667). We used 2 spatial regression techniques, (1) a spatial errors approach in GeoDa software and (2) fitting a covariance function to the errors using a distance matrix of all tract centroids. We examined density as a function of race, ethnicity, income and 2 indicators identified from city planning literature to indicate neighbourhood stability (vacant housing, renter-occupied housing).

resultsThe average density was 1.3 tobacco outlets per 1000 persons. Both spatial regression approaches yielded similar results. In unadjusted models, tobacco outlet density was positively associated with the proportion of black residents and negatively associated with the proportion of Asian residents, white residents and median household income. There was no association with the proportion of Hispanic residents. Indicators of neighbourhood stability explained the disproportionate density associated with black residential composition, but inequalities by income persisted in multivariable models.

conclusionsData from a large sample of US counties and results from 2 techniques to address spatial dependence strengthen evidence of inequalities in tobacco outlet density by race and income. Further research is needed to understand the underlying mechanisms in order to strengthen interventions.

Indexed as

CommerceHumansResidence CharacteristicsSmokingSocial ClassTobacco IndustryTobacco ProductsUnited StatesHealth inequalitiesPUBLIC HEALTH POLICYSMOKINGTobacco

Identifiers

PMID28249990
PMCPMC5458784

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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.