title: The Spatial Epidemiology of Intimate Partner Violence: Do Neighborhoods Matter?
abstract: We examined whether neighborhood-level characteristics influence spatial variations in the risk of intimate partner violence (IPV). Geocoded data on IPV cases with associated protection orders (n = 1,623) in the city of Valencia, Spain (2011-2013), were used for the analyses. Neighborhood units were 552 census block groups. Drawing from social disorganization theory, we explored 3 types of contextual influences: concentrated disadvantage, concentration of immigrants, and residential instability. A Bayesian spatial random-effects modeling approach was used to analyze influences of neighborhood-level characteristics on small-area variations in IPV risk. Disease mapping methods were also used to visualize areas of excess IPV risk. Results indicated that IPV risk was higher in physically disordered and decaying neighborhoods and in neighborhoods with low educational and economic status levels, high levels of public disorder and crime, and high concentrations of immigrants. Results also revealed spatially structured remaining variability in IPV risk that was not explained by the covariates. In this study, neighborhood concentrated disadvantage and immigrant concentration emerged as significant ecological risk factors explaining IPV. Addressing neighborhood-level risk factors should be considered for better targeting of IPV prevention.
authors.forename: Enrique
authors.initials: E
authors.lastname: Gracia
authors.forename: Antonio
authors.initials: A
authors.lastname: López-Quílez
authors.forename: Miriam
authors.initials: M
authors.lastname: Marco
authors.forename: Silvia
authors.initials: S
authors.lastname: Lladosa
authors.forename: Marisol
authors.initials: M
authors.lastname: Lila
mesh_terms: D001499:Bayes Theorem; D017579:Domestic Violence / Q000706:statistics & numerical data*; D054242:Emigrants and Immigrants / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D008297:Male; D012044:Regression Analysis; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D013030:Spain
keywords: Bayesian spatial modeling; concentrated disadvantage; disease mapping; intimate partner violence; neighborhoods; risk probability; small-area variation; spatial epidemiology