Skip to main content
Top
Published in: BMC Public Health 1/2022

Open Access 01-12-2022 | Research

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

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

Published in: BMC Public Health | Issue 1/2022

Login to get access

Abstract

Background

Violent 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.

Methods

We 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.

Results

Adjusted 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.

Conclusions

Certain 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.
Literature
1.
go back to reference Freire-Vargas L. Violence as a public health crisis. AMA J Ethics. 2018;20(1):25–8.CrossRef Freire-Vargas L. Violence as a public health crisis. AMA J Ethics. 2018;20(1):25–8.CrossRef
2.
go back to reference Sleet DA, Baldwin G, Marr A, et al. History of injury and violence as public health problems and emergence of the National Center for Injury Prevention and Control at CDC. J Saf Res. 2012;43(4):233–47.CrossRef Sleet DA, Baldwin G, Marr A, et al. History of injury and violence as public health problems and emergence of the National Center for Injury Prevention and Control at CDC. J Saf Res. 2012;43(4):233–47.CrossRef
3.
go back to reference Dahlberg LL, Mercy JA. The history of violence as a public health issue. AMA Virtual Mentor. 2009;11(2):167–72.PubMed Dahlberg LL, Mercy JA. The history of violence as a public health issue. AMA Virtual Mentor. 2009;11(2):167–72.PubMed
5.
go back to reference Rees-Punia E, Hathaway ED, Gay JL. Crime, perceived safety, and physical activity: a meta-analysis. Prev Med. 2018;111:307–13.CrossRefPubMed Rees-Punia E, Hathaway ED, Gay JL. Crime, perceived safety, and physical activity: a meta-analysis. Prev Med. 2018;111:307–13.CrossRefPubMed
6.
go back to reference Goldener J, Gross IM, Richards MH, Ragsdale BL. The relation of severity and type of community violence exposure to emotional distress and problem behavior among urban African American adolescents. Violence Vict. 2015;30(3):432–49.CrossRef Goldener J, Gross IM, Richards MH, Ragsdale BL. The relation of severity and type of community violence exposure to emotional distress and problem behavior among urban African American adolescents. Violence Vict. 2015;30(3):432–49.CrossRef
7.
go back to reference Mitchell SJ, Ronzio CR. Violence and other stressful life events as triggers of depression and anxiety: what psychosocial resources protect African American mothers? Matern Child Health. 2011;15(8):1272–81.CrossRef Mitchell SJ, Ronzio CR. Violence and other stressful life events as triggers of depression and anxiety: what psychosocial resources protect African American mothers? Matern Child Health. 2011;15(8):1272–81.CrossRef
8.
go back to reference Jack SPD, Petrosky E, Lyons BH, et al. Surveillance for violent deaths – National Violent Death Reporting System, 27 states, 2015. MMR Surveill Summ. 2018;67(11):1–32.CrossRef Jack SPD, Petrosky E, Lyons BH, et al. Surveillance for violent deaths – National Violent Death Reporting System, 27 states, 2015. MMR Surveill Summ. 2018;67(11):1–32.CrossRef
9.
go back to reference Walker GN, McLone S, Mason M, Sheehan K. Rates of firearm homicide by Chicago region, age, sex, and race/ethnicity, 2005-2010. J Trauma Acute Care Surg. 2016;81(4 Suppl 1):S48–53.CrossRefPubMed Walker GN, McLone S, Mason M, Sheehan K. Rates of firearm homicide by Chicago region, age, sex, and race/ethnicity, 2005-2010. J Trauma Acute Care Surg. 2016;81(4 Suppl 1):S48–53.CrossRefPubMed
10.
go back to reference Bader MDM, Purciel M, Yousefzadeh P, Neckerman KM. Disparities in neighborhood food environments: implications of measurement strategies. Econ Geogr. 2010;86(4):409–30.CrossRefPubMed Bader MDM, Purciel M, Yousefzadeh P, Neckerman KM. Disparities in neighborhood food environments: implications of measurement strategies. Econ Geogr. 2010;86(4):409–30.CrossRefPubMed
12.
13.
go back to reference Askey AP, Taylor R, Groff E, Fingerhut A. Fast food restaurants and convenience stores: using sales volume to explain crime patterns in Seattle. Crime Delinquency. 2017;64(14):1836–57.CrossRef Askey AP, Taylor R, Groff E, Fingerhut A. Fast food restaurants and convenience stores: using sales volume to explain crime patterns in Seattle. Crime Delinquency. 2017;64(14):1836–57.CrossRef
14.
go back to reference Furr-Holden CD, Milam AJ, Nesoff ED, et al. Not in my Back yard: a comparative analysis of crime around publicly funded drug treatment centers, liquor stores, convenience stores, and corner Stores in one mid-Atlantic City. J Stud Alcohol Drugs. 2016;77(1):17–24.CrossRefPubMedPubMedCentral Furr-Holden CD, Milam AJ, Nesoff ED, et al. Not in my Back yard: a comparative analysis of crime around publicly funded drug treatment centers, liquor stores, convenience stores, and corner Stores in one mid-Atlantic City. J Stud Alcohol Drugs. 2016;77(1):17–24.CrossRefPubMedPubMedCentral
15.
go back to reference Jennings JM, Milam AJ, Greiner A, Furr-Holden CD, Curriero FC, Thornton RJ. Neighborhood alcohol outlets and the association with violent crime in one mid-Atlantic City: the implications for zoning policy. J Urban Health. 2014;91(1):62–71.CrossRefPubMed Jennings JM, Milam AJ, Greiner A, Furr-Holden CD, Curriero FC, Thornton RJ. Neighborhood alcohol outlets and the association with violent crime in one mid-Atlantic City: the implications for zoning policy. J Urban Health. 2014;91(1):62–71.CrossRefPubMed
16.
go back to reference Wolfe SE, Pyrooz DC. Rolling Back prices and raising crime rates? The Walmart effect on crime in the United States. Brit J Criminol. 2014;54(2):199–221.CrossRef Wolfe SE, Pyrooz DC. Rolling Back prices and raising crime rates? The Walmart effect on crime in the United States. Brit J Criminol. 2014;54(2):199–221.CrossRef
17.
go back to reference Cohen LE, Felson M. Social change and crime rate trends: a routine activity approach. Am Sociol Rev. 1979;44(4):588–608.CrossRef Cohen LE, Felson M. Social change and crime rate trends: a routine activity approach. Am Sociol Rev. 1979;44(4):588–608.CrossRef
18.
go back to reference Bernasco W, Block R. Robberies in Chicago: a Block-level analysis of the influence of crime generators, crime attractors, and offender anchor points. J Res Crime Delinquency. 2011;48(1):33–57.CrossRef Bernasco W, Block R. Robberies in Chicago: a Block-level analysis of the influence of crime generators, crime attractors, and offender anchor points. J Res Crime Delinquency. 2011;48(1):33–57.CrossRef
28.
go back to reference Lee SW. Methods for testing statistical differences between groups in medical research: statistical standard and guideline of life cycle committee. Life Cycle. 2022;2:e1.CrossRef Lee SW. Methods for testing statistical differences between groups in medical research: statistical standard and guideline of life cycle committee. Life Cycle. 2022;2:e1.CrossRef
31.
go back to reference Dean WR, Sharkey JR. Rural and urban differences in the associations between characteristics of the community food environment and fruit and vegetable intake. J Nutr Educ Behav. 2011;43(6):426–33.CrossRefPubMedPubMedCentral Dean WR, Sharkey JR. Rural and urban differences in the associations between characteristics of the community food environment and fruit and vegetable intake. J Nutr Educ Behav. 2011;43(6):426–33.CrossRefPubMedPubMedCentral
32.
go back to reference Dai D, Wang F. Geographic disparities in accessibility to food stores in southwest Mississippi. Environ Plan B Plan Design. 2011;38:659–677. Dai D, Wang F. Geographic disparities in accessibility to food stores in southwest Mississippi. Environ Plan B Plan Design. 2011;38:659–677.
33.
go back to reference Sameem S, Sylwester K. Crime during the business cycle: urban–rural differences. Appl Econ. 2018;50(22):2500–8.CrossRef Sameem S, Sylwester K. Crime during the business cycle: urban–rural differences. Appl Econ. 2018;50(22):2500–8.CrossRef
35.
go back to reference Schuetz J. Why are Walmart and target next-door neighbors? Reg Sci Urban Econ. 2015;54:38–48.CrossRef Schuetz J. Why are Walmart and target next-door neighbors? Reg Sci Urban Econ. 2015;54:38–48.CrossRef
37.
go back to reference Greenbaum RT, Tita GE. The impact of violence surges on neighborhood business activity. Urban Aff Rev. 2004;31:529–43. Greenbaum RT, Tita GE. The impact of violence surges on neighborhood business activity. Urban Aff Rev. 2004;31:529–43.
38.
go back to reference Mui Y, Gittelsohn J, Jones-Smith J. Longitudinal associations between change in neighborhood social disorder and change in food swamps in an urban setting. J Urban Health. 2017;94(1):75–86.CrossRefPubMedPubMedCentral Mui Y, Gittelsohn J, Jones-Smith J. Longitudinal associations between change in neighborhood social disorder and change in food swamps in an urban setting. J Urban Health. 2017;94(1):75–86.CrossRefPubMedPubMedCentral
39.
go back to reference Peek-Asa C, Casteel C, Kraus JF, Whitten P. Employee and customer injury during violent crimes in retail and service businesses. Am J Public Health. 2006;96:1867–72.CrossRefPubMedPubMedCentral Peek-Asa C, Casteel C, Kraus JF, Whitten P. Employee and customer injury during violent crimes in retail and service businesses. Am J Public Health. 2006;96:1867–72.CrossRefPubMedPubMedCentral
40.
Metadata
Title
County-level associations between food retailer availability and violent crime rate
Authors
Chelsea R. Singleton
Fikriyah Winata
Ashley M. Adams
Sara L. McLafferty
Karen M. Sheehan
Shannon N. Zenk
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-14415-y

Other articles of this Issue 1/2022

BMC Public Health 1/2022 Go to the issue