Evidence map›Paper›PMID 22491038›Full record

ArticleTobacco control2013

Predictors of tobacco outlet density nationwide: a geographic analysis.

Daniel Rodriguez, Heather A Carlos, Anna M Adachi-Mejia, Ethan M Berke, James D Sargent

Open access · bronzeAbstract read
In one paragraph

Article in Tobacco control, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

102 citing papers in PubMed, 2 syntheses or guidelines pooled it, 155 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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
  10. Article
  11. Article
  12. Article
  13. 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
  14. Article
  15. Article
  16. Spatial Clustering of Tobacco Retailers Near US Public Schools.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  17. 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
    Article
  18. Article
  19. Restricting Tobacco Retail Outlets Around Middle and High Schools as a Way to Reduce Tobacco Marketing Disparities: A Simulation Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  20. A Cross-sectional Analysis of Socio-spatial Patterning of Tobacco Retail in Shanghai, China.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article

42 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

5 authors at 4 institutions in 2 countries.

Daniel RodriguezLaSalle University, Graduate Clinical Counseling Psychology, Philadelphia, Pennsylvania, USA. drodrig63@yahoo.com
Heather A Carlos
Anna M Adachi-Mejia
Ethan M Berke
James D Sargent
Dartmouth Psychiatric Research Center · USCotton (United States) · USRegional Cancer Center · USYahoo (United Kingdom) · GB

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Visual Media Influences on Adolescent Smoking Behavior (YR 9 Supplement)R01CA077026 · NCI · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 1997 to 2017
$16.8M
Aging and The Built Environment: Applied Technology to Increase Physical ActivityK23AG036934 · NIA · DARTMOUTH COLLEGE · PI BERKE, ETHAN M · 2010 to 2012
$497k
NCI NIH HHS CA077026NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA077026NIA NIH HHS 1K23AG036934NIA NIH HHS K23 AG036934
6 · The paper itself

Abstract

objectiveTo elucidate how demographics of US Census tracts are related to tobacco outlet density (TOD).

methodThe authors conducted a nationwide assessment of the association between socio-demographic US Census indicators and the density of tobacco outlets across all 64,909 census tracts in the continental USA. Retail tobacco outlet addresses were determined through North American Industry Classification System codes, and density per 1000 population was estimated for each census tract. Independent variables included urban/rural; proportion of the population that was black, Hispanic and women with low levels of education; proportion of families living in poverty and median household size.

resultsIn a multivariate analysis, there was a higher TOD per 1000 population in urban than in rural locations. Furthermore, higher TOD was associated with larger proportions of blacks, Hispanics, women with low levels of education and with smaller household size. Urban-rural differences in the relation between demographics and TOD were found in all socio-demographic categories, with the exception of poverty, but were particularly striking for Hispanics, for whom the relation with TOD was 10 times larger in urban compared with rural census tracts.

conclusionsThe findings suggest that tobacco outlets are more concentrated in areas where people with higher risk for negative health outcomes reside. Future studies should examine the relation between TOD and smoking, smoking cessation, as well as disease rates.

Indexed as

MarketingSmokingTobacco ProductsBlack or African AmericanCensusesEducational StatusFamily CharacteristicsGeographic MappingHispanic or LatinoHumansMultivariate AnalysisPovertyRural PopulationSex FactorsSocioeconomic FactorsUnited StatesdensitydisparitiesGIShigh-risk populationsSmokingtobacco

Identifiers

PMID22491038
PMCPMC3431432
OpenAlexW2155111579

What OpenQuestion holds

Textmetadata
LicenceTDM
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.