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Exploring neighborhood influences on small-area variations in intimate partner violence risk: a Bayesian random-effects modeling approach.

Gracia E, López-Quílez A, Marco M, Lladosa S, Lila M - Int J Environ Res Public Health (2014)

Bottom Line: Analyses show that IPVAW cases are more likely in areas of high immigrant concentration, high public disorder and crime, and high physical disorder.Results also show a spatial component indicating remaining variability attributable to spatially structured random effects.Bayesian spatial modeling offers a new perspective to identify IPVAW high and low risk areas, and provides a new avenue for the design of better-informed prevention and intervention strategies.

View Article: PubMed Central - PubMed

Affiliation: Department of Social Psychology, University of Valencia, Valencia 46010, Spain. enrique.gracia@uv.es.

ABSTRACT
This paper uses spatial data of cases of intimate partner violence against women (IPVAW) to examine neighborhood-level influences on small-area variations in IPVAW risk in a police district of the city of Valencia (Spain). To analyze area variations in IPVAW risk and its association with neighborhood-level explanatory variables we use a Bayesian spatial random-effects modeling approach, as well as disease mapping methods to represent risk probabilities in each area. Analyses show that IPVAW cases are more likely in areas of high immigrant concentration, high public disorder and crime, and high physical disorder. Results also show a spatial component indicating remaining variability attributable to spatially structured random effects. Bayesian spatial modeling offers a new perspective to identify IPVAW high and low risk areas, and provides a new avenue for the design of better-informed prevention and intervention strategies.

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Related in: MedlinePlus

Incidence rates of intimate partner violence against women (IPVAW).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3924479&req=5

ijerph-11-00866-f001: Incidence rates of intimate partner violence against women (IPVAW).

Mentions: For geocoding IPVAW data the geographic coordinates of the street address where the incident motivating the protection order happened were obtained [62]. To perform spatial analyses, counts of protection orders in each census block group were summed and weighted by the population of women 16 years-old and over, creating an intimate partner violence rate. The census block groups range from 0 to 16 cases of intimate partner violence, with an average of 4–5 cases by census block group, and rates from 0 to 30.37 per thousand people in the census block groups (see Figure 1).


Exploring neighborhood influences on small-area variations in intimate partner violence risk: a Bayesian random-effects modeling approach.

Gracia E, López-Quílez A, Marco M, Lladosa S, Lila M - Int J Environ Res Public Health (2014)

Incidence rates of intimate partner violence against women (IPVAW).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3924479&req=5

ijerph-11-00866-f001: Incidence rates of intimate partner violence against women (IPVAW).
Mentions: For geocoding IPVAW data the geographic coordinates of the street address where the incident motivating the protection order happened were obtained [62]. To perform spatial analyses, counts of protection orders in each census block group were summed and weighted by the population of women 16 years-old and over, creating an intimate partner violence rate. The census block groups range from 0 to 16 cases of intimate partner violence, with an average of 4–5 cases by census block group, and rates from 0 to 30.37 per thousand people in the census block groups (see Figure 1).

Bottom Line: Analyses show that IPVAW cases are more likely in areas of high immigrant concentration, high public disorder and crime, and high physical disorder.Results also show a spatial component indicating remaining variability attributable to spatially structured random effects.Bayesian spatial modeling offers a new perspective to identify IPVAW high and low risk areas, and provides a new avenue for the design of better-informed prevention and intervention strategies.

View Article: PubMed Central - PubMed

Affiliation: Department of Social Psychology, University of Valencia, Valencia 46010, Spain. enrique.gracia@uv.es.

ABSTRACT
This paper uses spatial data of cases of intimate partner violence against women (IPVAW) to examine neighborhood-level influences on small-area variations in IPVAW risk in a police district of the city of Valencia (Spain). To analyze area variations in IPVAW risk and its association with neighborhood-level explanatory variables we use a Bayesian spatial random-effects modeling approach, as well as disease mapping methods to represent risk probabilities in each area. Analyses show that IPVAW cases are more likely in areas of high immigrant concentration, high public disorder and crime, and high physical disorder. Results also show a spatial component indicating remaining variability attributable to spatially structured random effects. Bayesian spatial modeling offers a new perspective to identify IPVAW high and low risk areas, and provides a new avenue for the design of better-informed prevention and intervention strategies.

Show MeSH
Related in: MedlinePlus