Ordinary Families -Extraordinary Care Giving

Children with severe emotional problems often have multiple needs that require disparate services including child welfare, juvenile justice, health, mental health, substance abuse, and mental retardation (Stroul, 1996). However, the primary care giving responsibilities for these youngsters still remain with their families. It is the family who shelters and clothes them; provides guidance, affection, recreation, nurturing; gets them to appointments with doctors and therapists and to school dayin- and-day-out, year after year (Lourie, 1995). Despite the invaluable and irreplaceable care provided by families, they are often maligned by a system which characterizes them as having their own problems and inadequacies. The purpose of this research is to learn more about the strengths of families who care for children with severe emotional disabilities (SED). This exploratory descriptive study made use of focus groups attended by parents who are caring for such children. In order to improve services to these families, it is important that we understand how the notion of strengths play out in their everyday lives. Observations are made about the care giving plan, which all families devise in the course of caring for their child with special needs. Implications for paid professionals who serve these families are offered by presenting a model for putting family care givers at the hub of the service provision wheel.

Spatial analysis of cardiovascular disease mortality and air pollution in Harris County, Texas

The association between fine particulate matter air pollution (PM2.5) and cardiovascular disease (CVD) mortality was spatially analyzed for Harris County, Texas, at the census tract level. The objective was to assess how increased PM2.5 exposure related to CVD mortality in this area while controlling for race, income, education, and age. An estimated exposure raster was created for Harris County using Kriging to estimate the PM2.5 exposure at the census tract level. The PM2.5 exposure and the CVD mortality rates were analyzed in an Ordinary Least Squares (OLS) regression model and the residuals were subsequently assessed for spatial autocorrelation. Race, median household income, and age were all found to be significant (p<0.05) predictors in the model. This study found that for every one μg/m3 increase in PM2.5 exposure, holding age and education variables constant, an increase of 16.57 CVD deaths per 100,000 would be predicted for increased minimum exposure values and an increase of 14.47 CVD deaths per 100,000 would be predicted for increased maximum exposure values. This finding supports previous studies associating PM2.5 exposure with CVD mortality. This study further identified the areas of greatest PM2.5 exposure in Harris County as being the geographical locations of populations with the highest risk of CVD (i.e., predominantly older, low-income populations with a predominance of African Americans). The magnitude of the effect of PM2.5 exposure on CVD mortality rates in the study region indicates a need for further community-level studies in Harris County, and suggests that reducing excess PM2.5 exposure would reduce CVD mortality.^