Family to Family: Child Welfare for the 21st Century

Child welfare services have undergone many revisions and transformations since their initiation. Some scholars trace the beginning of child welfare in the United States to events such as a 1655 Massachusetts conviction for maltreatment leading to the death of a 12-year-old boy (Watkins, 1990). The predominant philosophy of child welfare has shifted over time from an early emphasis on child saving, to child protection, to family preservation. Building on family preservation, one of the current transformations in child welfare that is taking place in isolated pockets to whole states, is family-centered, neighborhood-based services. One force behind implementation of this transformation is the Family to Family Initiative of the Annie E. Casey Foundation. This paper places family-centered, neighborhood-based child welfare services within the historical context of development of child welfare and within the recent move to reinvent human services (Adams & Nelson, 1995). Against this backdrop, a locality-based implementation of the Family to Family Initiative is described.

Assessing perceptions of environmental risk and environmental justice and their impacts on neighborhood attachment in a predominately Hispanic community

This study examines and relates concepts from environmental risk perception and environmental justice and focuses on the perception of environmental problems, their consequent health risks and their impact on neighborhood attachment in a predominately Hispanic community along the U.S.-Mexico border. The findings indicate that the perception of environmental problems in the immediate area varies by problem and demographic subgroup. Ethnicity and income have the highest number of statistically significant associations across ten environmental problems. This result lies in the fact that Hispanics in El Paso County and those with low annual incomes live in neighborhoods that are faced with more severe environmental problems. Thus the findings lend support to the environmental justice claim that the poor and minorities bear the brunt of environmental degradation. ^ The findings also provide evidence that public perception of health risks from an environmental problem is influenced by the perceived severity of an environmental problem in the immediate area. Those who believe the problem is serious on a local level are the ones who are most likely to believe that they could become ill or injured from that problem and that the illness/injury will be serious. ^ The findings of this study also indicate that the young, Hispanics, those who perceive considerable environmental problems in their neighborhood, those who believe that their neighborhood has more environmental problems than others, and those who are angry about those problems are most likely to want to move from their neighborhood. ^ Efforts need to be made to enact policies and programs designed to reduce the environmental hazards in disadvantaged Hispanic communities along the U.S.-Mexico border. Future environmental education campaigns need to complement community-based projects with the media. Programs that involve and empower the community, particularly the youth, in improving the neighborhood could provide a sense of control and pride within their community in solving these problems. These neighborhood improvement efforts could also lead to the development and strengthening of social ties within the community, as well as enhanced community cohesiveness in tackling these problems. ^

An examination of the relationship between maternal and neighborhood-level characteristics and intrauterine growth retardation in Harris County, Texas, 1999--2001

The persistence of low birth weight and intrauterine growth retardation (IUGR) in the United States has puzzled researchers for decades. Much of the work that has been conducted on adverse birth outcomes has focused on low birth weight in general and not on IUGR. Studies that have examined IUGR specifically thus far have focused primarily on individual-level maternal risk factors. These risk factors have only been able to explain a small portion of the variance in IUGR. Therefore, recent work has begun to focus on community-level risk factors in addition to the individual-level maternal characteristics. This study uses Social Ecology to examine the relationship of individual and community-level risk factors and IUGR. Logistic regression was used to establish an individual-level model based on 155, 856 births recorded in Harris County, TX during 1999-2001. IUGR was characterized using a fetal growth ratio method with race/ethnic and sex specific mean birth weights calculated from national vital records. The spatial distributions of 114,460 birth records spatially located within the City of Houston were examined using choropleth, probability and density maps. Census tracts with higher than expected rates of IUGR and high levels of neighborhood disadvantage were highlighted. Neighborhood disadvantage was constructed using socioeconomic variables from the 2000 U.S. Census. Factor analysis was used to create a unified single measure. Lastly, a random coefficients model was used to examine the relationship between varying levels of community disadvantage, given the set of individual-level risk factors for 152,997 birth records spatially located within Harris County, TX. Neighborhood disadvantage was measured using three different indices adapted from previous work. The findings show that pregnancy-induced hypertension, previous preterm infant, tobacco use and insufficient weight gain have the highest association with IUGR. Neighborhood disadvantage only slightly further increases the risk of IUGR (OR 1.12 to 1.23). Although community level disadvantage only helped to explain a small proportion of the variance of IUGR, it did have a significant impact. This finding suggests that community level risk factors should be included in future work with IUGR and that more work needs to be conducted. ^

Network-based genome-wide association study of Crohn's disease

Genome-wide association studies (GWAS) have rapidly become a standard method for disease gene discovery. Many recent GWAS indicate that for most disorders, only a few common variants are implicated and the associated SNPs explain only a small fraction of the genetic risk. The current study incorporated gene network information into gene-based analysis of GWAS data for Crohn's disease (CD). The purpose was to develop statistical models to boost the power of identifying disease-associated genes and gene subnetworks by maximizing the use of existing biological knowledge from multiple sources. The results revealed that Markov random field (MRF) based mixture model incorporating direct neighborhood information from a single gene network is not efficient in identifying CD-related genes based on the GWAS data. The incorporation of solely direct neighborhood information might lead to the low efficiency of these models. Alternative MRF models looking beyond direct neighboring information are necessary to be developed in the future for the purpose of this study.^