Evidence map›Paper›PMID 36320015›Full record

ArticleBMC public health2022

County-level associations between food retailer availability and violent crime rate.

Chelsea R Singleton, Fikriyah Winata, Ashley M Adams, Sara L McLafferty, Karen M Sheehan, Shannon N Zenk

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Environmental Influences on Food Addiction and Cardiometabolic Profiles in Law Enforcement Officers.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Article
  5. 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.

Chelsea R SingletonDepartment of Social, Behavioral, and Population Sciences, Tulane School of Public Health & Tropical Medicine, 1440 Canal St., Suite 2200-20, New Orleans, LA, 70112, USA. csingle1@tulane.edu.
Fikriyah WinataDepartment of Geosciences, Mississippi State University, 355 Lee Blvd, 108 Hilbun Hall, Starkville, MS, 39762, USA.
Ashley M AdamsDepartment of Kinesiology and Community Health, College of Applied Health Sciences University of Illinois Urbana-Champaign, 1206 S Fourth St., Champaign, IL, 61820, USA.
Sara L McLaffertyDepartment of Geography and Geographic Information Science, University of Illinois Urbana-Champaign, 1301 W Green St., Urbana, IL, 61801, USA.
Karen M SheehanDepartments of Pediatrics, Medical Education, and Preventive Medicine, Northwestern University, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 E Chicago Ave., Chicago, IL, 60611, USA.
Shannon N ZenkNational Institute of Nursing Research, National Institutes of Health, 31 Center Dr., Bethesda, MD, 20892, USA.

Funding

Community Violence and its Impact on Food Retail, Food Purchasing Behavior, and Dietary Intake among Low-income African AmericansK01MD014757 · NIMHD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SINGLETON, CHELSEA R · 2020 to 2024
$689k
NCI NIH HHS L30 CA220738NIMHD NIH HHS K01 MD014757
6 · The paper itself

Abstract

backgroundViolent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America. Several studies have linked the availability and density of specific features of the retail food environment, such as convenience stores and liquor stores, to violent crime rates due to the criminal activity that often occurs in and near these retailers. Nevertheless, there continues to be limited understanding of how other features (e.g., grocery stores, supercenters, restaurants, etc.) are associated with violent crime occurrence. This study aimed to fill this gap in knowledge by examining U.S. county-level associations between food retailer availability and violent crime rate.

methodsWe analyzed 2014 data on 3108 counties from the U.S. Department of Agriculture's Food Environment Atlas and Department of Justice's Unified Crime Reporting Program. Per capita food retailer measures represented the number of stores per 10,000 county residents. Violent crime rate represented the number of police reported violent crimes per 10,000 county residents. We used spatial lag regression models to assess associations between per capita retailer availability and violent crime rate after adjusting for potential confounders (e.g., % under 18, % Black, % Hispanic, % poverty, population density, etc.). In addition, we examined stratified OLS regression models to evaluate associations by metropolitan county status.

resultsAdjusted spatial regression models revealed that greater supercenter availability [β: 2.42; 95% CI: 0.91-3.93; p-value: 0.001] and greater fast food restaurant availability [β: 0.30; 95% CI: 0.18-0.42; p-value: < 0.001] were associated with higher violent crime rate. Greater availability of farmers' markets [β: -0.42; 95% CI: -0.77 - - 0.07); p-value: 0.02] was associated with lower violent crime rate. Associations varied between metropolitan and non-metropolitan counties. Stratified OLS models revealed that greater grocery store availability was associated with lower violent crime rate among metropolitan counties only. Greater fast food restaurant availability was associated with lower violent crime rate among non-metropolitan counties only.

conclusionsCertain features of the retail food environment appear to be associated with county-level violent crime rates in America. These findings highlight the need for additional research on the influence of food retail and food landscape on violent crime occurrence at the community level.

Indexed as

CommerceResidence CharacteristicsCrimeFast FoodsFood SupplyHumansRestaurantsFarmers’ marketFast foodGrocery storeRetail food environmentViolent crime

Identifiers

PMID36320015
PMCPMC9628069

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.