Dataset Information

Neighborhood characteristics as predictors of male to female and female to male partner violence.

ABSTRACT: This article examines the association between neighborhood characteristics at the census tract-level, couples' perceived neighborhood social cohesion and informal social control, and male-to-female (MFPV) and female-to-male (FMPV) partner violence in the United States. Data come from a second wave of interviews (2000) with a national sample of couples 18 years of age and older who were first interviewed in 1995. The path analysis shows that poverty is associated with perceived social cohesion and perceived social control as hypothesized. However, there is no significant mediation effect for social control or social cohesion on any type of violence. In the path analysis, Black ethnicity is associated with social cohesion, which is associated with MFPV. Intimate partner violence (IPV), as a form of domestic violence, may not be as concentrated in high-poverty neighborhoods as criminal violence. IPV may be more determined by personal and dyadic characteristics than criminal violence.

SUBMITTER: Caetano R

PROVIDER: S-EPMC2948065 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature

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Neighborhood characteristics as predictors of male to female and female to male partner violence.

Caetano Raul R Ramisetty-Mikler Suhasini S Harris T Robert TR

Journal of interpersonal violence 20091229 11

This article examines the association between neighborhood characteristics at the census tract-level, couples' perceived neighborhood social cohesion and informal social control, and male-to-female (MFPV) and female-to-male (FMPV) partner violence in the United States. Data come from a second wave of interviews (2000) with a national sample of couples 18 years of age and older who were first interviewed in 1995. The path analysis shows that poverty is associated with perceived social cohesion an ...[more]

PMID: 20040713

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Project 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.

Dataset Information

Neighborhood characteristics as predictors of male to female and female to male partner violence.

Publications

Neighborhood characteristics as predictors of male to female and female to male partner violence.

Similar Datasets

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