Evidence map›Paper›PMID 35079790›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2022

Sociodemographic Disparities in Tobacco Retailer Density in the United States, 2000-2017.

Sarah D Mills, Amanda Y Kong, Alexandria E Reimold, Chris D Baggett, Christopher A Wiesen, Shelley D Golden

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
  2. Recruitment Methods, Inclusion, and Successful Participation in a Longitudinal Clinical Trial Using Ecological Momentary Assessment.Health education & behavior : the official publication of the Society for Public Health Education · 2024
    Trial
  3. Article
  4. Article
  5. 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
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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
    Article
  14. Article
  15. Article
  16. Unveiling rural and Appalachian disparities in cigarette smoking through the social vulnerability index and other county-level characteristics.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Flavored Tobacco Sales Restrictions and Youth E-cigarette Behavior: Impact by Tobacco Retailer Density in Diverse Communities in California.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    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.

Sarah D MillsDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-0183-6753
Amanda Y KongDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-8361-7342
Alexandria E ReimoldDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Chris D BaggettLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Christopher A WiesenOdum Institute, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Shelley D GoldenDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
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
Cancer Health Disparities Training ProgramT32CA128582 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ENG, EUGENIA, TATE, DEBORAH F. · 2009 to 2023
$3.4M
NCI NIH HHS P01 CA225597NCI NIH HHS P30 CA225520NCI NIH HHS T32 CA128582
6 · The paper itself

Abstract

introductionStudies find differences in tobacco retailer density according to neighborhood sociodemographic characteristics, raising issues of social justice, but not all research is consistent. AIMS AND

methodsThis study examined associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints (2000, 2007, 2012, and 2017) and investigated if associations remained stable over time. Data on tobacco retailers came from the National Establishment Time-Series Database. Adjusted log-linear models examined the relationship between retailer density and census tract sociodemographic characteristics (% non-Hispanic Black [Black], % Hispanic, % vacant housing units, median household income), controlling for percentage of youth, urbanicity, and US region. To examine whether the relationship between density and sociodemographic characteristics changed over time, additional models were estimated with interaction terms between each sociodemographic characteristic and year.

resultsTobacco retailer density ranged from 1.22 to 1.44 retailers/1000 persons from 2000 to 2017. There were significant, positive relationships between tobacco retailer density and the percentage of Black (standardized exp(b) = 1.05 [95% CI: 1.04% to 1.07%]) and Hispanic (standardized exp(b) = 1.06 [95% CI: 1.05% to 1.08%]) residents and the percentage of vacant housing units (standardized exp(b) =1.08 [95% CI: 1.07% to 1.10%]) in a census tract. Retailer density was negatively associated with income (standardized exp(b) = 0.84 [95% CI: 0.82% to 0.86%]). From 2000 to 2017, the relationship between retailer density and income and vacant housing units became weaker.

conclusionsDespite the weakening of some associations, there are sociodemographic disparities in tobacco retailer density from 2000 to 2017, which research has shown may contribute to inequities in smoking. IMPLICATIONS: This study examines associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints from 2000 to 2017. Although some associations weakened, there are sociodemographic disparities in tobacco retailer density over the study period. Research suggests that sociodemographic disparities in retailer density may contribute to inequities in smoking. Findings from this study may help identify which communities should be prioritized for policy intervention and regulation.

Indexed as

CommerceResidence CharacteristicsTobacco ProductsHumansTobacco UseUnited States

Identifiers

PMID35079790
PMCPMC9278831

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.