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Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence
In this study, we analyze first whether there is a common spatial distribution of child maltreatment (CM) and intimate partner violence (IPV), and second, whether the risks of CM and IPV are influenced by the same neighborhood characteristics, and if these risks spatially overlap. To this end we use...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991672/ https://www.ncbi.nlm.nih.gov/pubmed/29879183 http://dx.doi.org/10.1371/journal.pone.0198684 |
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author | Gracia, Enrique López-Quílez, Antonio Marco, Miriam Lila, Marisol |
author_facet | Gracia, Enrique López-Quílez, Antonio Marco, Miriam Lila, Marisol |
author_sort | Gracia, Enrique |
collection | PubMed |
description | In this study, we analyze first whether there is a common spatial distribution of child maltreatment (CM) and intimate partner violence (IPV), and second, whether the risks of CM and IPV are influenced by the same neighborhood characteristics, and if these risks spatially overlap. To this end we used geocoded data of CM referrals (N = 588) and IPV incidents (N = 1450) in the city of Valencia (Spain). As neighborhood proxies, we used 552 census block groups. Neighborhood characteristics analyzed at the aggregated level (census block groups) were: Neighborhood concentrated disadvantage (neighborhood economic status, neighborhood education level, and policing activity), immigrant concentration, and residential instability. A Bayesian joint modeling approach was used to examine the spatial distribution of CM and IPV, and a Bayesian random-effects modeling approach was used to analyze the influence of neighborhood-level characteristics on small-area variations of CM and IPV risks. For CM, 98% of the total between-area variation in risk was captured by a shared spatial component, while for IPV the shared component was 77%. The risks of CM and IPV were higher in neighborhoods characterized by lower levels of economic status and education, and higher levels of policing activity, immigrant concentration, and residential instability. The correlation between the log relative risk of CM and IPV was .85. Most census block groups had either low or high risks in both outcomes (with only 10.5% of the areas with mismatched risks). These results show that certain neighborhood characteristics are associated with an increase in the risk of family violence, regardless of whether this violence is against children or against intimate partners. Identifying these high-risk areas can inform a more integrated community-level response to both types of family violence. Future research should consider a community-level approach to address both types of family violence, as opposed to individual-level intervention addressing each type of violence separately. |
format | Online Article Text |
id | pubmed-5991672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59916722018-06-16 Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence Gracia, Enrique López-Quílez, Antonio Marco, Miriam Lila, Marisol PLoS One Research Article In this study, we analyze first whether there is a common spatial distribution of child maltreatment (CM) and intimate partner violence (IPV), and second, whether the risks of CM and IPV are influenced by the same neighborhood characteristics, and if these risks spatially overlap. To this end we used geocoded data of CM referrals (N = 588) and IPV incidents (N = 1450) in the city of Valencia (Spain). As neighborhood proxies, we used 552 census block groups. Neighborhood characteristics analyzed at the aggregated level (census block groups) were: Neighborhood concentrated disadvantage (neighborhood economic status, neighborhood education level, and policing activity), immigrant concentration, and residential instability. A Bayesian joint modeling approach was used to examine the spatial distribution of CM and IPV, and a Bayesian random-effects modeling approach was used to analyze the influence of neighborhood-level characteristics on small-area variations of CM and IPV risks. For CM, 98% of the total between-area variation in risk was captured by a shared spatial component, while for IPV the shared component was 77%. The risks of CM and IPV were higher in neighborhoods characterized by lower levels of economic status and education, and higher levels of policing activity, immigrant concentration, and residential instability. The correlation between the log relative risk of CM and IPV was .85. Most census block groups had either low or high risks in both outcomes (with only 10.5% of the areas with mismatched risks). These results show that certain neighborhood characteristics are associated with an increase in the risk of family violence, regardless of whether this violence is against children or against intimate partners. Identifying these high-risk areas can inform a more integrated community-level response to both types of family violence. Future research should consider a community-level approach to address both types of family violence, as opposed to individual-level intervention addressing each type of violence separately. Public Library of Science 2018-06-07 /pmc/articles/PMC5991672/ /pubmed/29879183 http://dx.doi.org/10.1371/journal.pone.0198684 Text en © 2018 Gracia et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gracia, Enrique López-Quílez, Antonio Marco, Miriam Lila, Marisol Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence |
title | Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence |
title_full | Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence |
title_fullStr | Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence |
title_full_unstemmed | Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence |
title_short | Neighborhood characteristics and violence behind closed doors: The spatial overlap of child maltreatment and intimate partner violence |
title_sort | neighborhood characteristics and violence behind closed doors: the spatial overlap of child maltreatment and intimate partner violence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991672/ https://www.ncbi.nlm.nih.gov/pubmed/29879183 http://dx.doi.org/10.1371/journal.pone.0198684 |
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