County-level associations between food retailer availability and violent crime rate
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 liquo...
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Published in | BMC public health Vol. 22; no. 1; pp. 1 - 2002 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central Ltd
01.11.2022
BioMed Central BMC |
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Abstract | 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. |
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AbstractList | 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. 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. Adjusted spatial regression models revealed that greater supercenter availability [[beta]: 2.42; 95% CI: 0.91-3.93; p-value: 0.001] and greater fast food restaurant availability [[beta]: 0.30; 95% CI: 0.18-0.42; p-value: < 0.001] were associated with higher violent crime rate. 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. 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. 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. 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 [[beta]: 2.42; 95% CI: 0.91-3.93; p-value: 0.001] and greater fast food restaurant availability [[beta]: 0.30; 95% CI: 0.18-0.42; p-value: < 0.001] were associated with higher violent crime rate. Greater availability of farmers' markets [[beta]: -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. Keywords: Violent crime, Retail food environment, Grocery store, Fast food, Farmers' market 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. 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. |
ArticleNumber | 2002 |
Audience | Academic |
Author | Winata, Fikriyah Adams, Ashley M Singleton, Chelsea R Zenk, Shannon N McLafferty, Sara L Sheehan, Karen M |
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Cites_doi | 10.1001/journalofethics.2018.20.1.fred1-1801 10.1111/j.1944-8287.2010.01084.x 10.1016/j.amepre.2017.10.025 10.1111/acer.13880 10.1097/TA.0000000000001176 10.1093/bjc/azt071 10.2105/AJPH.2005.071365 10.1007/s11524-016-0107-0 10.1016/j.ypmed.2017.11.017 10.1177/0011128717714792 10.1007/s11524-013-9821-z 10.1068/b36149 10.1007/s10995-010-0668-6 10.54724/lc.2022.e1 10.1080/00036846.2017.1400653 10.1016/j.jsr.2012.09.002 10.1007/978-3-540-78246-9_36 10.1177/0022427810384135 10.1891/0886-6708.VV-D-13-00129 10.15288/jsad.2016.77.17 10.1016/j.regsciurbeco.2015.07.002 10.15585/mmwr.ss6711a1 10.2307/2094589 10.1016/j.jneb.2010.07.001 |
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References | SE Wolfe (14415_CR16) 2014; 54 S Sameem (14415_CR33) 2018; 50 SJ Mitchell (14415_CR7) 2011; 15 14415_CR19 J Schuetz (14415_CR35) 2015; 54 14415_CR27 B Han (14415_CR40) 2018; 54 14415_CR25 W Bernasco (14415_CR18) 2011; 48 14415_CR26 14415_CR23 J Goldener (14415_CR6) 2015; 30 PJ Trangenstein (14415_CR12) 2018; 42 14415_CR24 14415_CR21 14415_CR22 SPD Jack (14415_CR8) 2018; 67 14415_CR20 GN Walker (14415_CR9) 2016; 81 LE Cohen (14415_CR17) 1979; 44 WR Dean (14415_CR31) 2011; 43 LL Dahlberg (14415_CR3) 2009; 11 SW Lee (14415_CR28) 2022; 2 E Rees-Punia (14415_CR5) 2018; 111 14415_CR29 L Freire-Vargas (14415_CR1) 2018; 20 RT Greenbaum (14415_CR37) 2004; 31 MDM Bader (14415_CR10) 2010; 86 14415_CR36 14415_CR34 DA Sleet (14415_CR2) 2012; 43 14415_CR4 CD Furr-Holden (14415_CR14) 2016; 77 14415_CR32 14415_CR11 Y Mui (14415_CR38) 2017; 94 14415_CR30 AP Askey (14415_CR13) 2017; 64 C Peek-Asa (14415_CR39) 2006; 96 JM Jennings (14415_CR15) 2014; 91 |
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Background
Violent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America.... Background Violent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America. Several... Violent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America. Several studies have... BACKGROUNDViolent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America. Several studies... Abstract Background Violent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America.... |
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SubjectTerms | Agriculture Availability Convenience stores Crime Customer services Environmental aspects Farmers' markets Farmers’ market Fast food Fast food restaurants Federal agencies Food Food availability Forecasts and trends Grocery industry Grocery store Grocery stores Health aspects Health care Hispanic people Homicide Influence Lagrange multiplier Low income groups Per capita Police Population density Poverty Public health Rape Regression analysis Regression models Restaurants Retail food environment Retail stores Robbery Sexual assault Sociodemographics Supply and demand Violence Violent crime Violent crimes |
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Title | County-level associations between food retailer availability and violent crime rate |
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