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Residential Instability (residential + instability)
Selected AbstractsSOCIAL DISORGANIZATION OUTSIDE THE METROPOLIS: AN ANALYSIS OF RURAL YOUTH VIOLENCE,CRIMINOLOGY, Issue 1 2000D. WAYNE OSGOOD In order to extend the study of community social disorganization and crime beyond its exclusive focus on large urban centers, we present an analysis of structural correlates of arrest rates for juvenile violence in 264 nonmetropolitan counties of four states. Findings support the generality of social disorganization theory: Juvenile violence was associated with rates of residential instability, family disruption, and ethnic heterogeneity. Though rates of poverty were not related to juvenile violence, this is also in accord with social disorganization theory because, unlike urban settings, poverty was negatively related to residential instability. Rates of juvenile violence varied markedly with population size through a curvilinear relationship in which counties with the smallest juvenile populations had exceptionally low arrest rates. Analyses used negative binomial regression (a variation of Poisson regression) because the small number of arrests in many counties meant that arrest rates would be ill suited to least-squares regression. [source] HOMELESS SHELTER USE AND REINCARCERATION FOLLOWING PRISON RELEASE,CRIMINOLOGY AND PUBLIC POLICY, Issue 2 2004STEPHEN METRAUX Research Summary: This paper examines the incidence of and interrelationships between shelter use and reincarceration among a cohort of 48,424 persons who were released from New York State prisons to New York City in 1995,1998. Results show that, within two years of release, 11.4% of the study group entered a New York City homeless shelter and 32.8% of this group was again imprisoned. Using survival analysis methods, time since prison release and history of residential instability were the most salient risk factors related to shelter use, and shelter use increased the risk of subsequent reincarceration. Policy Implications: These findings show both homelessness and reincarceration to be substantial problems among a population of released prisoners, problems that fall into the more general framework of community reintegration. They also suggest that enhanced housing and related services, when targeted to a relatively small at-risk group among this population, have the potential to substantially reduce the overall risk for homelessness in the group. [source] The Cost-Effectiveness of Independent Housing for the Chronically Mentally Ill: Do Housing and Neighborhood Features Matter?HEALTH SERVICES RESEARCH, Issue 5 2004Joseph Harkness Objective. To determine the effects of housing and neighborhood features on residential instability and the costs of mental health services for individuals with chronic mental illness (CMI). Data Sources. Medicaid and service provider data on the mental health service utilization of 670 individuals with CMI between 1988 and 1993 were combined with primary data on housing attributes and costs, as well as census data on neighborhood characteristics. Study participants were living in independent housing units developed under the Robert Wood Johnson Foundation Program on Chronic Mental Illness in four of nine demonstration cities between 1988 and 1993. Study Design. Participants were assigned on a first-come, first-served basis to housing units as they became available for occupancy after renovation by the housing providers. Multivariate statistical models are used to examine the relationship between features of the residential environment and three outcomes that were measured during the participant's occupancy in a study property: residential instability, community-based service costs, and hospital-based service costs. To assess cost-effectiveness, the mental health care cost savings associated with some residential features are compared with the cost of providing housing with these features. Data Collection/Extraction Methods. Health service utilization data were obtained from Medicaid and from state and local departments of mental health. Non-mental-health services, substance abuse services, and pharmaceuticals were screened out. Principal Findings. Study participants living in newer and properly maintained buildings had lower mental health care costs and residential instability. Buildings with a richer set of amenity features, neighborhoods with no outward signs of physical deterioration, and neighborhoods with newer housing stock were also associated with reduced mental health care costs. Study participants were more residentially stable in buildings with fewer units and where a greater proportion of tenants were other individuals with CMI. Mental health care costs and residential instability tend to be reduced in neighborhoods with many nonresidential land uses and a higher proportion of renters. Mixed-race neighborhoods are associated with reduced probability of mental health hospitalization, but they also are associated with much higher hospitalization costs if hospitalized. The degree of income mixing in the neighborhood has no effect. Conclusions. Several of the key findings are consistent with theoretical expectations that higher-quality housing and neighborhoods lead to better mental health outcomes among individuals with CMI. The mental health care cost savings associated with these favorable features far outweigh the costs of developing and operating properties with them. Support for the hypothesis that "diverse-disorganized" neighborhoods are more accepting of individuals with CMI and, hence, associated with better mental health outcomes, is mixed. [source] Intimate partner violence relationship dissolution among couples with children: the counterintuitive role of "Law and Order" neighborhoodsJOURNAL OF COMMUNITY PSYCHOLOGY, Issue 4 2010Clifton R. Emery This study examined the relationship between intimate partner violence (IPV) relationship dissolution and neighborhood concentrated disadvantage, ethnic heterogeneity, residential instability, collective efficacy, and legal cynicism. Data from the Project on Human Development in Chicago Neighborhoods (PHDCN) Longitudinal survey were used to identify 658 cases of IPV in Wave 1. A generalized boosting model (GBM) was used to determine the best proximal predictors of relationship dissolution from the longitudinal data. Controlling for these predictors, logistic regression of neighborhood characteristics from the PHDCN community survey was used to predict IPV relationship dissolution in Wave 2. Counterintuitively, the authors find that neighborhoods high in legal cynicism have a greater likelihood of IPV relationship dissolution, controlling for other variables in the logistic regression model. However, analyses did not find that IPV relationship dissolution was related to neighborhood concentrated disadvantage, ethnic heterogeneity, residential instability, and collective efficacy. © 2010 Wiley Periodicals, Inc. [source] Impact of neighborhood disadvantage on overt behavior problems during early childhoodAGGRESSIVE BEHAVIOR, Issue 3 2007Emily B. Winslow Abstract Researchers have yet to examine the impact of neighborhood disadvantage on early child behavior problems (BPs) longitudinally. We examined the impact of neighborhood disadvantage on overt BPs in a low-income, urban sample of 281 African American and European American boys followed longitudinally from toddlerhood to school entry. Measures included census data and maternal report of BPs, sociocultural factors, parental criminality, and maternal depressive symptomatology. After controlling for age 2 overt BPs, family selection variables, and residential instability, neighborhood effects on boys' behavior emerged, but only at age 6 and only at the extreme of neighborhood disadvantage (i.e., underclass). Findings suggest boys in underclass neighborhoods are at risk for overt BPs as they make the transition to elementary school. Aggr. Behav. 33:1,13, 2007.© 2007 Wiley-Liss, Inc. [source] | |||||||||||||