Chronic high risk of intimate partner violence against women in disadvantaged neighborhoods: An eight-year space-time analysis.
Bayesian spatio-temporal modeling
Disease mapping, intimate partner violence, neighborhood influences, small-area study
Neighborhood disadvantage
Spatio-temporal epidemiology
Violence against women
Journal
Preventive medicine
ISSN: 1096-0260
Titre abrégé: Prev Med
Pays: United States
ID NLM: 0322116
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
received:
06
09
2020
revised:
25
02
2021
accepted:
08
04
2021
pubmed:
14
4
2021
medline:
29
6
2021
entrez:
13
4
2021
Statut:
ppublish
Résumé
We conducted a small-area ecological longitudinal study to analyze neighborhood contextual influences on the spatio-temporal variations in intimate partner violence against women (IPVAW) risk in a southern European city over an eight-year period. We used geocoded data of IPVAW cases with associated protection orders (n = 5867) in the city of Valencia, Spain (2011-2018). The city's 552 census block groups were used as the neighborhood units. Neighborhood-level covariates were: income, education, immigrant concentration, residential instability, alcohol outlet density, and criminality. We used a Bayesian autoregressive approach to spatio-temporal disease mapping. Neighborhoods with low levels of income and education and high levels of residential mobility and criminality had higher relative risk of IPVAW. Spatial patterns of high risk of IPVAW persisted over time during the eight-year period analyzed. Areas of stable low risk and with increasing or decreasing risk were also identified. Our findings link neighborhood disadvantage to the existence and persistence over time of spatial inequalities in IPVAW risk, showing that high risk of IPVAW can become chronic in disadvantaged neighborhoods. Our analytic approach provides specific risk estimates at the small-area level that are informative for intervention purposes, and can be useful to assess the effectiveness of prevention efforts in reducing IPVAW.
Identifiants
pubmed: 33848525
pii: S0091-7435(21)00134-1
doi: 10.1016/j.ypmed.2021.106550
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
106550Informations de copyright
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.