Cargando…
Estimating exposure to neighborhood crime by race and ethnicity for public health research
BACKGROUND: Police-reported crime data (hereafter “crime”) is routinely used as a psychosocial stressor in public health research, yet few studies have jointly examined (a) differences in crime exposure based on participant race and ethnicity, (b) differences in measures of crime exposure, and (c) c...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183080/ https://www.ncbi.nlm.nih.gov/pubmed/34098923 http://dx.doi.org/10.1186/s12889-021-11057-4 |
_version_ | 1783704316134031360 |
---|---|
author | Lodge, Evans K. Hoyo, Cathrine Gutierrez, Carmen M. Rappazzo, Kristen M. Emch, Michael E. Martin, Chantel L. |
author_facet | Lodge, Evans K. Hoyo, Cathrine Gutierrez, Carmen M. Rappazzo, Kristen M. Emch, Michael E. Martin, Chantel L. |
author_sort | Lodge, Evans K. |
collection | PubMed |
description | BACKGROUND: Police-reported crime data (hereafter “crime”) is routinely used as a psychosocial stressor in public health research, yet few studies have jointly examined (a) differences in crime exposure based on participant race and ethnicity, (b) differences in measures of crime exposure, and (c) considerations for how exposure to police is captured in police-recorded crime data. We estimate neighborhood exposure to crime and discuss the implications of structural differences in exposure to crime and police based on race and ethnicity. METHODS: Using GPS coordinates from 1188 participants in the Newborn Epigenetics Study, we estimated gestational exposure to crime provided by the Durham, North Carolina, Police Department within (a) 800 m and (b) the Census block group of residence. We controlled for non-overlapping spatial boundaries in crime, Census, residential, and police data to report crime spatial (crime per km(2)) and population (crime per 1000 people per km(2)) density. RESULTS: We demonstrate dramatic disparities in exposure to crime based on participant race and ethnicity and highlight variability in these disparities based on the type of crime and crime measurement method chosen. CONCLUSIONS: Public health researchers should give thoughtful consideration when using police-reported crime data to measure and model exposure to crime in the United States, as police-reported data encompasses joint exposure to police and crime in the neighborhood setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11057-4. |
format | Online Article Text |
id | pubmed-8183080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81830802021-06-09 Estimating exposure to neighborhood crime by race and ethnicity for public health research Lodge, Evans K. Hoyo, Cathrine Gutierrez, Carmen M. Rappazzo, Kristen M. Emch, Michael E. Martin, Chantel L. BMC Public Health Research Article BACKGROUND: Police-reported crime data (hereafter “crime”) is routinely used as a psychosocial stressor in public health research, yet few studies have jointly examined (a) differences in crime exposure based on participant race and ethnicity, (b) differences in measures of crime exposure, and (c) considerations for how exposure to police is captured in police-recorded crime data. We estimate neighborhood exposure to crime and discuss the implications of structural differences in exposure to crime and police based on race and ethnicity. METHODS: Using GPS coordinates from 1188 participants in the Newborn Epigenetics Study, we estimated gestational exposure to crime provided by the Durham, North Carolina, Police Department within (a) 800 m and (b) the Census block group of residence. We controlled for non-overlapping spatial boundaries in crime, Census, residential, and police data to report crime spatial (crime per km(2)) and population (crime per 1000 people per km(2)) density. RESULTS: We demonstrate dramatic disparities in exposure to crime based on participant race and ethnicity and highlight variability in these disparities based on the type of crime and crime measurement method chosen. CONCLUSIONS: Public health researchers should give thoughtful consideration when using police-reported crime data to measure and model exposure to crime in the United States, as police-reported data encompasses joint exposure to police and crime in the neighborhood setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11057-4. BioMed Central 2021-06-05 /pmc/articles/PMC8183080/ /pubmed/34098923 http://dx.doi.org/10.1186/s12889-021-11057-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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. |
spellingShingle | Research Article Lodge, Evans K. Hoyo, Cathrine Gutierrez, Carmen M. Rappazzo, Kristen M. Emch, Michael E. Martin, Chantel L. Estimating exposure to neighborhood crime by race and ethnicity for public health research |
title | Estimating exposure to neighborhood crime by race and ethnicity for public health research |
title_full | Estimating exposure to neighborhood crime by race and ethnicity for public health research |
title_fullStr | Estimating exposure to neighborhood crime by race and ethnicity for public health research |
title_full_unstemmed | Estimating exposure to neighborhood crime by race and ethnicity for public health research |
title_short | Estimating exposure to neighborhood crime by race and ethnicity for public health research |
title_sort | estimating exposure to neighborhood crime by race and ethnicity for public health research |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183080/ https://www.ncbi.nlm.nih.gov/pubmed/34098923 http://dx.doi.org/10.1186/s12889-021-11057-4 |
work_keys_str_mv | AT lodgeevansk estimatingexposuretoneighborhoodcrimebyraceandethnicityforpublichealthresearch AT hoyocathrine estimatingexposuretoneighborhoodcrimebyraceandethnicityforpublichealthresearch AT gutierrezcarmenm estimatingexposuretoneighborhoodcrimebyraceandethnicityforpublichealthresearch AT rappazzokristenm estimatingexposuretoneighborhoodcrimebyraceandethnicityforpublichealthresearch AT emchmichaele estimatingexposuretoneighborhoodcrimebyraceandethnicityforpublichealthresearch AT martinchantell estimatingexposuretoneighborhoodcrimebyraceandethnicityforpublichealthresearch |