Evidence map›Paper›PMID 34921833›Full record

ArticlePreventive medicine2022

Associations between disparities in tobacco retailer density and disparities in tobacco use.

Allison M Glasser, Nathaniel Onnen, Peter F Craigmile, Elli Schwartz, Megan E Roberts

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Assessing Social Vulnerability and FDA Tobacco Retailer Compliance Inspections and Violations in Los Angeles County, CA (2021-2023).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  2. Article
  3. 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
  4. Review
  5. Article
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Allison M GlasserCollege of Public Health, The Ohio State University, Cunz Hall, 1841 Neil Ave., Columbus, OH 43210, USA. Electronic address: glasser.24@buckeyemail.osu.edu.
Nathaniel OnnenDepartment of Statistics, The Ohio State University, Cockins Hall, 958 Neil Ave., Columbus, OH 43210, USA.
Peter F CraigmileDepartment of Statistics, The Ohio State University, Cockins Hall, 958 Neil Ave., Columbus, OH 43210, USA.
Elli SchwartzCollege of Public Health, The Ohio State University, Cunz Hall, 1841 Neil Ave., Columbus, OH 43210, USA.
Megan E RobertsCollege of Public Health, The Ohio State University, Cunz Hall, 1841 Neil Ave., Columbus, OH 43210, USA.
The Ohio State University · US

Funding

Evaluating how licensing-law strategies will change neighborhood disparities in tobacco retailer densityR21CA212308 · NCI · OHIO STATE UNIVERSITY · PI ROBERTS, MEGAN ELEANOR · 2017 to 2018
$323k
NCI NIH HHS R21 CA212308
6 · The paper itself

Abstract

Research has separately established that there are disparities in tobacco use, that greater tobacco retailer density (TRD) is positively associated with tobacco use, and that TRD is greater in high poverty and high racial/ethnic minority neighborhoods. Connecting these topics, this study examined the association between disparities in TRD and disparities in the prevalence of tobacco use among adults and youth. We obtained Ohio data on tobacco use from two statewide adult surveys and two sub-state regional youth surveys (2017-2019). Licensed tobacco retailers in Ohio were geocoded within census tracts. Disparity in TRD within regions across the state was defined as the ratio of TRD in high vs. low poverty (and in high vs. low racial/ethnic minority) census tracts per region. Disparity in cigarette smoking (adults) and any tobacco use (youth) was defined as the ratio of use prevalence among socioeconomically disadvantaged vs. non-disadvantaged (and racial/ethnic minority vs. non-minority) individuals. We estimated Pearson correlation coefficients to assess the linear relationship between the TRD disparity ratios and tobacco use disparity ratios. Poverty-based and race/ethnicity-based TRD disparities were positively associated with smoking disparities among adults. Negative associations between TRD disparities and tobacco use disparities were found among youth. To our knowledge, this is the first analysis directly linking TRD disparities and tobacco use disparities. Different adult and youth findings may be due to trends by age and product preferences. For adults in particular, this analysis suggests a detrimental effect of the tobacco retail environment on disadvantaged populations.

Indexed as

Cigarette SmokingTobacco ProductsAdolescentAdultCommerceEthnicityHumansMinority GroupsTobacco UseAdultsRetail environmentTobacco disparitiesTobacco licenseYouth

Identifiers

PMID34921833
PMCPMC8750533
OpenAlexW4200205944

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.