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...

Full description

Saved in:
Bibliographic Details
Published inBMC public health Vol. 22; no. 1; pp. 1 - 2002
Main Authors Singleton, Chelsea R, Winata, Fikriyah, Adams, Ashley M, McLafferty, Sara L, Sheehan, Karen M, Zenk, Shannon N
Format Journal Article
LanguageEnglish
Published London BioMed Central Ltd 01.11.2022
BioMed Central
BMC
Subjects
Online AccessGet full text

Cover

Loading…
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.
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
Author_xml – sequence: 1
  fullname: Singleton, Chelsea R
– sequence: 2
  fullname: Winata, Fikriyah
– sequence: 3
  fullname: Adams, Ashley M
– sequence: 4
  fullname: McLafferty, Sara L
– sequence: 5
  fullname: Sheehan, Karen M
– sequence: 6
  fullname: Zenk, Shannon N
BookMark eNptkk9r3DAQxU1JoUnaL9CToZdenFjyyJIuhbD0TyDQQ9uzGMnjrRavlEreLfvtI2dDyZagwwjpzW940ruozkIMVFXvWXvFmOqvM-NK6ablvGEATDSHV9U5A8kaDkKdPdu_qS5y3rQtk0rw8-rHKu7CfGgm2tNUY87ReZx9DLm2NP8lCvUY41AnmtFPlGrcl4rWT34-1BiGeu_jRGGuXfJbqhPO9LZ6PeKU6d1Tvax-ffn8c_Wtufv-9XZ1c9c4Ae3cCASUCL1jfBTIxCgsKOesdNK2oHvZWd2S7JHZTmpnuQLo0bYjCOgAXHdZ3R65Q8SNuS_zMR1MRG8eD2JaG0yzdxMZ4lqQRsJhIOjloMEKEg56prTEQRfWpyPrfme3NLjiKOF0Aj29Cf63Wce90T1Xbb8APj4BUvyzozybrc-OpgkDxV02XHYMuAa5SD_8J93EXQrlqRaVlFqr7plqjcWAD2Msc90CNTeSg-qUFn1RXb2gKmugrXclJGP5tdMGfmxwKeacaPznkbVmyZI5ZsmULJnHLJlD9wDQmL7H
CitedBy_id crossref_primary_10_1016_j_jand_2024_03_008
crossref_primary_10_1146_annurev_publhealth_101322_031206
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
ContentType Journal Article
Copyright COPYRIGHT 2022 BioMed Central Ltd.
2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
The Author(s) 2022
Copyright_xml – notice: COPYRIGHT 2022 BioMed Central Ltd.
– notice: 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: The Author(s) 2022
DBID AAYXX
CITATION
3V.
7T2
7X5
7X7
7XB
88E
8C1
8FE
8FG
8FI
8FJ
8FK
ABJCF
ABUWG
AFKRA
AN0
ATCPS
AZQEC
BENPR
BEZIV
BGLVJ
BHPHI
C1K
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K6~
K9.
L6V
M0S
M1P
M7S
PATMY
PIMPY
PQEST
PQQKQ
PQUKI
PRINS
PTHSS
PYCSY
7X8
5PM
DOA
DOI 10.1186/s12889-022-14415-y
DatabaseName CrossRef
ProQuest Central (Corporate)
Health and Safety Science Abstracts (Full archive)
ProQuest Entrepreneurship
ProQuest Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
ProQuest Public Health Database
ProQuest SciTech Collection
ProQuest Technology Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
British Nursing Database
Agricultural & Environmental Science Collection
ProQuest Central Essentials
AUTh Library subscriptions: ProQuest Central
Business Premium Collection
Technology Collection
ProQuest Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection (Proquest) (PQ_SDU_P3)
ProQuest Business Collection
ProQuest Health & Medical Complete (Alumni)
ProQuest Engineering Collection
Health & Medical Collection (Alumni Edition)
PML(ProQuest Medical Library)
Engineering Database
Environmental Science Database
Publicly Available Content Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
Environmental Science Collection
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
ProQuest Central Student
Technology Collection
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest Central
ProQuest Engineering Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
Health & Safety Science Abstracts
ProQuest Medical Library (Alumni)
Engineering Collection
ProQuest Entrepreneurship
Business Premium Collection
Engineering Database
ProQuest Public Health
ProQuest One Academic Eastern Edition
British Nursing Index with Full Text
ProQuest Hospital Collection
ProQuest Technology Collection
Health Research Premium Collection (Alumni)
ProQuest SciTech Collection
ProQuest Business Collection
ProQuest Hospital Collection (Alumni)
Environmental Science Collection
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
Environmental Science Database
ProQuest One Academic
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList

Publicly Available Content Database

CrossRef
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: DOA
  name: Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Public Health
Agriculture
EISSN 1471-2458
EndPage 2002
ExternalDocumentID oai_doaj_org_article_e295e9aeadde467d94b5e5c461897ad9
A724838956
10_1186_s12889_022_14415_y
GeographicLocations United States
Florida
United States--US
Illinois
GeographicLocations_xml – name: United States
– name: Florida
– name: United States--US
– name: Illinois
GroupedDBID ---
-A0
0R~
23N
2WC
2XV
3V.
44B
53G
5VS
6J9
6PF
7X7
7XC
88E
8C1
8FE
8FG
8FH
8FI
8FJ
A8Z
AAFWJ
AAJSJ
AAWTL
AAYXX
ABDBF
ABJCF
ABUWG
ACGFO
ACGFS
ACIHN
ACIWK
ACPRK
ACRMQ
ADBBV
ADINQ
ADUKV
AEAQA
AENEX
AFKRA
AFPKN
AFRAH
AHBYD
AHMBA
AHYZX
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AN0
AOIJS
ATCPS
BAPOH
BAWUL
BCNDV
BENPR
BFQNJ
BGLVJ
BHPHI
BMC
BNQBC
BPHCQ
BVXVI
C24
C6C
CCPQU
CITATION
CS3
DIK
DU5
E3Z
EAD
EAP
EAS
EBD
EBLON
EBS
EMB
EMK
EMOBN
ESTFP
ESX
F5P
FYUFA
GROUPED_DOAJ
GX1
HCIFZ
HMCUK
HYE
IAO
IHR
INH
INR
ITC
KQ8
L6V
M1P
M48
M7S
M~E
O5R
O5S
OK1
P2P
PATMY
PIMPY
PQQKQ
PROAC
PSQYO
PTHSS
PYCSY
RBZ
RNS
ROL
RPM
RSV
SMD
SOJ
SV3
TR2
TUS
U2A
UKHRP
W2D
WOQ
WOW
XSB
ABVAZ
AFGXO
AFNRJ
7T2
7X5
7XB
8FK
AZQEC
BEZIV
C1K
DWQXO
GNUQQ
K6~
K9.
PQEST
PQUKI
PRINS
7X8
5PM
ID FETCH-LOGICAL-c540t-5a4a7a46c12f5a15f5b48ccb7c7b049673b90e76a1b379cb28446ab0f454344c3
IEDL.DBID RPM
ISSN 1471-2458
IngestDate Fri Oct 04 13:04:55 EDT 2024
Tue Sep 17 21:30:56 EDT 2024
Sat Oct 05 06:29:24 EDT 2024
Thu Oct 10 18:34:39 EDT 2024
Fri Feb 23 00:05:08 EST 2024
Fri Feb 02 04:07:32 EST 2024
Thu Sep 12 19:14:49 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c540t-5a4a7a46c12f5a15f5b48ccb7c7b049673b90e76a1b379cb28446ab0f454344c3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628069/
PQID 2737799839
PQPubID 44782
ParticipantIDs doaj_primary_oai_doaj_org_article_e295e9aeadde467d94b5e5c461897ad9
pubmedcentral_primary_oai_pubmedcentral_nih_gov_9628069
proquest_miscellaneous_2731429479
proquest_journals_2737799839
gale_infotracmisc_A724838956
gale_infotracacademiconefile_A724838956
crossref_primary_10_1186_s12889_022_14415_y
PublicationCentury 2000
PublicationDate 2022-11-01
PublicationDateYYYYMMDD 2022-11-01
PublicationDate_xml – month: 11
  year: 2022
  text: 2022-11-01
  day: 01
PublicationDecade 2020
PublicationPlace London
PublicationPlace_xml – name: London
PublicationTitle BMC public health
PublicationYear 2022
Publisher BioMed Central Ltd
BioMed Central
BMC
Publisher_xml – name: BioMed Central Ltd
– name: BioMed Central
– name: BMC
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
References_xml – ident: 14415_CR27
– volume: 31
  start-page: 529
  year: 2004
  ident: 14415_CR37
  publication-title: Urban Aff Rev
  contributor:
    fullname: RT Greenbaum
– volume: 20
  start-page: 25
  issue: 1
  year: 2018
  ident: 14415_CR1
  publication-title: AMA J Ethics
  doi: 10.1001/journalofethics.2018.20.1.fred1-1801
  contributor:
    fullname: L Freire-Vargas
– volume: 86
  start-page: 409
  issue: 4
  year: 2010
  ident: 14415_CR10
  publication-title: Econ Geogr
  doi: 10.1111/j.1944-8287.2010.01084.x
  contributor:
    fullname: MDM Bader
– volume: 54
  start-page: 352
  issue: 3
  year: 2018
  ident: 14415_CR40
  publication-title: Am J Prev Med
  doi: 10.1016/j.amepre.2017.10.025
  contributor:
    fullname: B Han
– volume: 42
  start-page: 2234
  issue: 11
  year: 2018
  ident: 14415_CR12
  publication-title: Alcohol Clin Exp Res
  doi: 10.1111/acer.13880
  contributor:
    fullname: PJ Trangenstein
– ident: 14415_CR19
– volume: 11
  start-page: 167
  issue: 2
  year: 2009
  ident: 14415_CR3
  publication-title: AMA Virtual Mentor
  contributor:
    fullname: LL Dahlberg
– volume: 81
  start-page: S48
  issue: 4 Suppl 1
  year: 2016
  ident: 14415_CR9
  publication-title: J Trauma Acute Care Surg
  doi: 10.1097/TA.0000000000001176
  contributor:
    fullname: GN Walker
– volume: 54
  start-page: 199
  issue: 2
  year: 2014
  ident: 14415_CR16
  publication-title: Brit J Criminol
  doi: 10.1093/bjc/azt071
  contributor:
    fullname: SE Wolfe
– volume: 96
  start-page: 1867
  year: 2006
  ident: 14415_CR39
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.2005.071365
  contributor:
    fullname: C Peek-Asa
– ident: 14415_CR25
– volume: 94
  start-page: 75
  issue: 1
  year: 2017
  ident: 14415_CR38
  publication-title: J Urban Health
  doi: 10.1007/s11524-016-0107-0
  contributor:
    fullname: Y Mui
– ident: 14415_CR21
– ident: 14415_CR23
– volume: 111
  start-page: 307
  year: 2018
  ident: 14415_CR5
  publication-title: Prev Med
  doi: 10.1016/j.ypmed.2017.11.017
  contributor:
    fullname: E Rees-Punia
– volume: 64
  start-page: 1836
  issue: 14
  year: 2017
  ident: 14415_CR13
  publication-title: Crime Delinquency
  doi: 10.1177/0011128717714792
  contributor:
    fullname: AP Askey
– volume: 91
  start-page: 62
  issue: 1
  year: 2014
  ident: 14415_CR15
  publication-title: J Urban Health
  doi: 10.1007/s11524-013-9821-z
  contributor:
    fullname: JM Jennings
– ident: 14415_CR32
  doi: 10.1068/b36149
– ident: 14415_CR4
– volume: 15
  start-page: 1272
  issue: 8
  year: 2011
  ident: 14415_CR7
  publication-title: Matern Child Health
  doi: 10.1007/s10995-010-0668-6
  contributor:
    fullname: SJ Mitchell
– volume: 2
  year: 2022
  ident: 14415_CR28
  publication-title: Life Cycle
  doi: 10.54724/lc.2022.e1
  contributor:
    fullname: SW Lee
– volume: 50
  start-page: 2500
  issue: 22
  year: 2018
  ident: 14415_CR33
  publication-title: Appl Econ
  doi: 10.1080/00036846.2017.1400653
  contributor:
    fullname: S Sameem
– ident: 14415_CR11
– ident: 14415_CR34
– ident: 14415_CR36
– ident: 14415_CR30
– volume: 43
  start-page: 233
  issue: 4
  year: 2012
  ident: 14415_CR2
  publication-title: J Saf Res
  doi: 10.1016/j.jsr.2012.09.002
  contributor:
    fullname: DA Sleet
– ident: 14415_CR29
  doi: 10.1007/978-3-540-78246-9_36
– volume: 48
  start-page: 33
  issue: 1
  year: 2011
  ident: 14415_CR18
  publication-title: J Res Crime Delinquency
  doi: 10.1177/0022427810384135
  contributor:
    fullname: W Bernasco
– volume: 30
  start-page: 432
  issue: 3
  year: 2015
  ident: 14415_CR6
  publication-title: Violence Vict
  doi: 10.1891/0886-6708.VV-D-13-00129
  contributor:
    fullname: J Goldener
– volume: 77
  start-page: 17
  issue: 1
  year: 2016
  ident: 14415_CR14
  publication-title: J Stud Alcohol Drugs
  doi: 10.15288/jsad.2016.77.17
  contributor:
    fullname: CD Furr-Holden
– volume: 54
  start-page: 38
  year: 2015
  ident: 14415_CR35
  publication-title: Reg Sci Urban Econ
  doi: 10.1016/j.regsciurbeco.2015.07.002
  contributor:
    fullname: J Schuetz
– volume: 67
  start-page: 1
  issue: 11
  year: 2018
  ident: 14415_CR8
  publication-title: MMR Surveill Summ
  doi: 10.15585/mmwr.ss6711a1
  contributor:
    fullname: SPD Jack
– volume: 44
  start-page: 588
  issue: 4
  year: 1979
  ident: 14415_CR17
  publication-title: Am Sociol Rev
  doi: 10.2307/2094589
  contributor:
    fullname: LE Cohen
– volume: 43
  start-page: 426
  issue: 6
  year: 2011
  ident: 14415_CR31
  publication-title: J Nutr Educ Behav
  doi: 10.1016/j.jneb.2010.07.001
  contributor:
    fullname: WR Dean
– ident: 14415_CR20
– ident: 14415_CR26
– ident: 14415_CR24
– ident: 14415_CR22
SSID ssj0017852
Score 2.4260163
Snippet Abstract 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....
SourceID doaj
pubmedcentral
proquest
gale
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
StartPage 1
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
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NaxUxEA_Sk1DEj4pPq0QQepClL7tJJjlWsZSCXmyht5CvpYLsk_e2wvvvnUn21W49eOlp2U2Wzf4mk8wkM78w9iEG0DEY0UDufSNzahsPXuJtSEuPFoXUlO_89Zs-u5TnV-rqzlFfFBNW6YErcMe5tSpbn0kPUamTlUFlFaUWxoJPNXVPqJ0zNe0fgFHtLkXG6OMNjsIUGoSOV3Egmu1sGips_f-OyffjJO9MPKdP2ZPJYuQntaXP2KM8PGf7dbmN1yyiF-w75ZaP2-YnxQBx_xfzDZ8isXi_WiW-LhGjec39b7xWju4t90PidYd-5JH4_jkRSBywy9MvF5_Pmum8hCai3TU2ykvCWUfR9soL1asgTURpRAjoCGjogl1m0F6EDmwMODNJ7cOyl5RfKmP3ku0NqyG_Ylx1qVUhAyiVpfDCBplUB0kbSG22ZsE-7uBzvyothivuhNGugu0QbFfAdtsF-0QI39YkSuvyAAXtJkG7_wl6wY5IPo4UD6UR_ZQ_gA0mCit3Aq00aH4pvWCHs5qoMHFevJOwmxR249CKA0DXs8PvvL8tpjcpCG3Iq5tSR-D0LQHrwKxnzP5sXjL8uC6k3VbTHrZ9_RBQvGGP29KXaSXokO2N65v8Fm2jMbwravAH6ugPEg
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ProQuest Public Health Database
  dbid: 8C1
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR1da9RAcNH6okipVTFtlRUEHyT0kuznk5ylpQj6ooW-LfuVKpSk5lLh_n1nNntXo-DTkdsJSWZm52vng5B33knhnapKGVtbshjq0krL4NKFhQWLggmsd_7yVZxfsM-X_DIH3FY5rXIjE5OgDr3HGPkxqFkpwTdo9MebXyVOjcLT1TxC4yF5VAFj4ugGdbJN8cDB8_WmUEaJ4xXIYkwQAvcruRHleqaMUs_-fyXz39mSf6ifsz2ym-1GupwI_Yw8iN0-ebK8GnLvjLhPnk4hODpVFj0n37DefFyX15gXRO09HVY0Z2fRtu8DHVIWaRyo_Q2_U9_uNbVdoNOp_Ug9zgCg2FTiBbk4O_1-cl7mGQqlB1tsLLlliHvhq7rltuItd0x5oJCXDpwDIRunF1EKW7lGau9AWzFh3aJlWHPKfPOS7HR9F18RyptQcxel5DyyylbascAbGYSSoY5aFeTDBpnmZmqVYZKLoYSZUG8A9Sah3qwL8gnxvYXENtfpj364MnnXmFhrHrWNKIRBogfNHI_cM1EpLW3QBXmP1DK4GYE23uaaAnhhbGtllrJmCkwyLgpyNIOETeTnyxt6m7yJV-ae5QrydruMd2JiWhf72wRTgUpnEmDkjE9mXzZf6X7-SI28tcBzbX3w_4cfksd14lmM-xyRnXG4ja_BEhrdm8Tudz2wChc
  priority: 102
  providerName: ProQuest
– databaseName: Scholars Portal Journals: Open Access
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR1ba9YwNMz5Ioh4xW9OiSD4INWvaa4PInM4hqAv-sHeQm5VYbSuXyf233tO2m5Wx55Km7RJzzk5l-RcCHkRvJLB67JQqXYFT5EVTjkOtz6uHWgUXGK886fP8njDP56Ikx0ylzuaALi90rTDelKb7vT177PhHSz4t3nBa_lmCzwWHX_ArMrmQTHcIDcZh2HQlY9fnioonSvwlMCQC8aFnoNorvzGQlDlfP7_c-1_PSn_Ek1Hd8mdSaekByMR3CM7qblPbo8bcnSMM3pAvmD0eT8Up-glRN0lVrZ08tWiddtG2mWf0tRR9wuuYxbvgbom0vEMv6cBKwJQTDHxkGyOPnw9PC6migpFAM2sL4TjiAkZSlYLV4paeK4D4CsoD6aCVJU366SkK32lTPAgu7h0fl1zjEDloXpEdpu2SY8JFVVkwielhEi8dKXxPIpKRalVZMnoFXk1g8_-HBNn2GxwaGlHYFsAts3AtsOKvEcIX_TEpNf5Qdt9s9MasokZkYxLyJKBv0fDvUgicFlqo1w0K_IS8WORWAAbwU0RBjBhTHJlDxTjGhQ0IVdkf9ETllRYNs8YtjNFWtDzlALjtIJxnl8045voptak9jz3KUHAcwV91IIyFn-2bGl-fM9pvY3EU26zd_3cnpBbLFMp7gLtk92-O09PQS_q_bNM7H8AnBQKnw
  priority: 102
  providerName: Scholars Portal
Title County-level associations between food retailer availability and violent crime rate
URI https://www.proquest.com/docview/2737799839
https://search.proquest.com/docview/2731429479
https://pubmed.ncbi.nlm.nih.gov/PMC9628069
https://doaj.org/article/e295e9aeadde467d94b5e5c461897ad9
Volume 22
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9swEBdt9zIYY58sWxc0GOxhuIltSSc9NqFZGaSUboWwF6GvbIXWLok7yH-_k2x38_a2FxlbEpbvdLo76XdnQt47C8JZmWcQ1iZjwReZAcPw1vqpQYuCiRjvvDwTp5fs84qv9gjvY2ESaN_Zq6Pq-uaouvqRsJW3N27S48Qm58u5EvE8UE32yT6UZe-id0cHIHnRR8dIMdniAhxRQehzJd8h2w00UErU_-9y_DdE8g-ds3hCHnfGIj1uB_WU7IXqGXnU7rTRNoDoOfkSw8qbXXYd4T_U_Cb3lnYgLLqua083CSwaNtT8xGubnntHTeVpezjfUBdT_dOYO-IFuVycfJ2fZt2vEjKHJleTccMiiYXLizU3OV9zy6RDRjiw6AMIKK2aBhAmtyUoZ1EpMWHsdM1iaClz5UtyUNVVeEUoL33BbQDgPLDc5Moyz0vwQoIvgpIj8rEnn75tM2Lo5ElIoVtiayS2TsTWuxGZRQrft4zZrNODevNddzzVoVA8KBPiWosLt1fM8sAdE7lUYLwakQ-RPzrKHHLDmS50AAccs1fpYyiYRMuLixE5HLREWXHD6p7DupPVrUYDDgC9zhLf8-6-OvaM-LMq1HepTY6amwG2gcHMGHzZsAanb8rX3U3X1__d8w15WKQJHHd-DslBs7kLb9EWauwYJWAFWMp5HsvFpzF5MDs5O78Yp90FLJdMYnkx-zZOcvILUJQT6Q
link.rule.ids 230,315,733,786,790,870,891,2115,12083,12250,12792,21416,24346,27955,27956,31752,31753,33299,33300,33406,33407,33777,33778,43343,43612,43633,43838,53825,53827
linkProvider National Library of Medicine
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3da9RAEF_0-qAiolXxtOoKgg8Sekn2I_skV2k5tT1EW-jbsl-pgiQ1lwr33zuz2bsaBZ-O3G5IMjM7s7Mz8xtCXjsrhbNVnslQm4wFX2RGGgaX1s8M7CiYwHrnk6VYnLGP5_w8HbitUlrlRidGRe1bh2fk-2BmpQTfoFTvLn9m2DUKo6uphcZNsoOQm9WE7BwcLj9_2cYRZMWLTalMJfZXoI0xRQgcsOhIZOuROYqo_f_q5r_zJf8wQEf3yb20c6TzgdUPyI3Q7JI784suoWeEXXJ3OISjQ23RQ_IVK877dfYDM4OouebEiqb8LFq3raddzCMNHTW_4HdA7l5T03g6xO176rALAEVYiUfk7Ojw9P0iS10UMge7sT7jhiH1hcuLmpuc19yyygGPnLTgHghZWjULUpjcllI5C_aKCWNnNcOqU-bKx2TStE14QigvfcFtkJLzwHKTK8s8L6UXlfRFUNWUvN0QU18OYBk6OhmV0APpNZBeR9Lr9ZQcIL23MxHoOv7Rdhc6rRsdCsWDMgHVMOh0r5jlgTsm8kpJ49WUvEFuaVyOwBtnUlUBvDACW-m5LBgIBniBU7I3mgnLyI2HN_zWaRmv9LXQTcmr7TDeialpTWiv4pwcjDqTMEeO5GT0ZeOR5vu3COWtBEa21dP_P_wlubU4PTnWxx-Wn56R20WUXzwF2iOTvrsKz2Ff1NsXSfh_A9dxDqs
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELagSAgJ8UYsFDASEgeUzSaxPfGxFFbl0aoSVKq4WH4FKtpktZtFWn49YycpTbn1FCWeKHY-jz1jfzMm5LU1IKwpswR8pRPmXZ5o0AxvjZtptCiYCPHO-wdi74h9OubHF476iqR9a06m9enZtD75GbmVizObDjyx9HB_V4qwHyjThavS6-QG6mwOg6PebyBAyfMhRqYU6QqH4cANQs8rehDJZjQPxXT9_w_Kl4mSF2ae-V3yfahzRzj5NV23Zmr_XErneKVG3SN3enuU7nQi98k1Xz8gt7vFPNrFKD0kX0PkertJTgPDiOp_iK5oz_OiVdM4uox8VL-k-jdeuwzgG6prR7v9_5bacJoADekpHpGj-Ydvu3tJfxpDYtGqaxOuWUBR2CyvuM54xQ0rLWJtwaCbIaAwcuZB6MwUIK3BeY8JbWYVC9GrzBaPyVbd1P4JobxwOTcegHPPMp1JwxwvwIkSXO5lOSFvB2zUoku6oaKzUgrVIakQSRWRVJsJeRfgO5cMCbPjg2b5Q_V_WPlcci-1D8M5zg1OMsM9t0xkpQTt5IS8CeCroNYItdV9dAJWOCTIUjuQsxKNOy4mZHskiepox8VD91H9cLBSaCMCoGNb4HdenReHNwPFrfbNOspkaBwwQBkYdbtRy8Yl2JliSvC-8zy98psvyc3D93P15ePB52fkVh4VJawzbZOtdrn2z9Hyas2LqGN_AWH7MVU
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=County-level+associations+between+food+retailer+availability+and+violent+crime+rate&rft.jtitle=BMC+public+health&rft.au=Singleton%2C+Chelsea+R&rft.au=Winata%2C+Fikriyah&rft.au=Adams%2C+Ashley+M&rft.au=McLafferty%2C+Sara+L&rft.date=2022-11-01&rft.pub=BioMed+Central+Ltd&rft.issn=1471-2458&rft.eissn=1471-2458&rft.volume=22&rft.issue=1&rft_id=info:doi/10.1186%2Fs12889-022-14415-y&rft.externalDocID=A724838956
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2458&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2458&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2458&client=summon