Approaching Environmental Health Disparities and Green Spaces: An Ecosystem Services Perspective

Health disparities occur when adverse health conditions are unequal across populations due in part to gaps in wealth. These disparities continue to plague global health. Decades of research suggests that the natural environment can play a key role in sustaining the health of the public. However, the influence of the natural environment on health disparities is not well-articulated. Green spaces provide ecosystem services that are vital to public health. This paper discusses the link between green spaces and some of the nation’s leading health issues such as obesity, cardiovascular health, heat-related illness, and psychological health. These associations are discussed in terms of key demographic variables—race, ethnicity, and income. The authors also identify research gaps and recommendations for future research.https://www.mdpi.com/1660-4601/12/2/195

How Much Heirs’ Property Is There? Using LightBox Data to Estimate Heirs’ Property Extent in the U.S.

The ramifications of a tenancy in common or heirs’ property ownership are extensive. This kind of tenuous ownership affects not only individual families but also the economic health of the typically minority and lower-wealth communities where these properties tend to cluster. Very little research has identified heirs’ property extent at a broad scale, however. We present results of our approach to identifying heirs’ parcels for every county and census tract in the U.S., using geospatial methodologies and aggregated parcel records acquired from LightBox. The method estimated 444,172 heirs’ parcels for the U.S., not including territories. The combined acreage is 9,247,452 worth $41,324,318 billion. We discuss shortcomings of secondary parcel data and the problems this presents for accurately assessing heirs’ property extent, while the spatial location aspect allows us to analyze for spatial patterns such as clustering, which supports new analyses of issues associated with heirs’ property

Heirs’ Property: Where, How Much, and Why Does It Matter?

Heirs’ property comes into being when the owner of real property (usually a house and/or land) dies without a will. All heirs (e.g., spouse and children) become owners of an undivided interest in the property, with the division determined by state law. Heirs’ property is significant as a social and historical phenomenon because property has been passed down without wills across multiple generations of Blacks in the South and whites in Appalachia because limited educational opportunities and patterns of exploitation led them to distrust the legal system. Heirs can number in the hundreds, presenting obstacles and vulnerabilities and limiting property ownership as a means of building intergenerational wealth. Quantifying the extent and value of heirs’ property is necessary to inform legislation and policy, and to guide future research. We summarize the findings of two peer-reviewed studies designed to meet these needs

Black Family Forest Owners in the Southeastern United States: A Case Study in Six Counties

The USDA Forest Service, National Woodland Owner Survey asks family forest owners (FFOs) about their attitudes and intentions regarding their forestland. Historically, the number of responses from Black or African American FFOs has been very low, but it is uncertain whether this is because of nonresponse bias or that there are relatively few Black FFOs. To get a better understanding of these FFOs and to test a method to increase response rates, an intensified survey effort was conducted in three southern states: Alabama, North Carolina, and South Carolina. Analyses indicate that Black FFOs have slightly different objectives, activities, and ownership structure for their forestland than their White counterparts, who have traditionally represented the majority of FFOs. Study Implications: By conducting an experiment to increase response rates from Black family forest owners to the National Woodland Owner Survey, we find traditional methodology is not effective. More importantly, we see this group has moderately different responses than their White counterparts. This has wide ranging implications for landowner assistance programs and other initiatives that have been designed on the premise that we are accurately capturing responses from all woodland owners

Force-plate quantification of progressive behavioral deficits in the R6/2 mouse model of Huntington’s disease

The R6/2 mouse is a popular model of Huntington’s disease (HD) because of its rapid progression and measurable behavioral phenotype. Yet current behavioral phenotyping methods are usually univariate (e.g., latency to fall from a rotarod) and labor intensive. We used a force-plate actometer and specialized computer algorithms to partition the data into topographically specific behavioral categories that were sensitive to HD-like abnormalities. Seven R6/2 male mice and 7 wild type (WT) controls were placed in a 42 cm X 42 cm force-plate actometer for 20-min recording sessions at 6–7, 8–9, 10–11 and 12–13 weeks of age. Distance traveled, number of wall rears, and number of straight runs (traveling 175 mm or more in 1.5 s) were reduced in R6/2 relative to WT mice at all ages tested. Low mobility bouts (each defined as remaining continuously in a virtual circle of 15 mm radius for 5 s) were increased in R6/2 mice at 6–7 wk and beyond. Independent of body weight, force off-load during wall rears was reduced in R6/2 mice except at 6–7 wk. Power spectra of force variation during straight runs indicated an age-related progressive loss of rhythmicity in R6/2 compared to WT, suggesting gait dysrhythmia and dysmetria. Collectively, these data, which extend results obtained with other widely different behavioral phenotyping methods, document a multifaceted syndrome of motor abnormalities in R6/2 mice. We suggest, moreover, that the force-plate actometer offers a high-throughput tool for screening drugs that may affect symptom expression in R6/2 or other HD model mice

Pharmacist Contributions to the U.S. Health Care System

Objective: The overall goal for this study was to conduct a segment analysis of the pharmacist workforce during 2009 based upon time spent in medication providing and in patient care services. Methods: Data for this study were obtained from the 2009 National Pharmacist Workforce Survey in which a random sample of 3,000 pharmacists was selected. Cluster analysis was used for identifying pharmacist segments and descriptive statistics were used for describing and comparing segments.Results: Of the 2,667 surveys that were presumed to be delivered to a pharmacist, 1,395 were returned yielding a 52.3% overall response rate. Of these, 1,200 responses were usable for cluster analysis. Findings from this study revealed five segments ofpharmacists: (1) Medication Providers, (2) Medication Providers who also Provide Patient Care, (3) Other Activity Pharmacists, (4) Patient Care Providers Who also Provide Medication, and (5) Patient Care Providers. The results showed that, in 2009, 41% of U.S. pharmacists were devoted wholly to medication providing (Medication Providers). Forty-three percent of pharmacists contributed significantly to patient care service provision (Medication Providers who also Provide Patient Care, Patient Care Providers who also Provide Medication, and Patient Care Providers) and the remaining 16% (Other Activity Pharmacists) contributed most of their time to business / organization management, research, education, and other health-system improvement activities. Conclusions: Based on the findings, we propose that the pharmacy profession currently has, and will continue to build, capacity for contributing to the U.S. health care system in new roles for which they have been identified. However, as shifts in professional roles occur, a great deal of capacity is required related to new service provision. Resources are scarce, so an understanding of the most appropriate timing for making such changes can lead to cost-effective use of limited resources for improving patient care

Children's racial categorization in context

The ability to discriminate visually based on race emerges early in infancy: 3-month-olds can perceptually differentiate faces by race and 6-month-olds can perceptually categorize faces by race. Between ages 6 and 8 years, children can sort others into racial groups. But to what extent are these abilities influenced by context? In this article, we review studies on children's racial categorization and discuss how our conclusions are affected by how we ask the questions (i.e., our methods and stimuli), where we ask them (i.e., the diversity of the child's surrounding environment), and whom we ask (i.e., the diversity of the children we study). Taken together, we suggest that despite a developmental readiness to categorize others by race, the use of race as a psychologically salient basis for categorization is far from inevitable and is shaped largely by the experimental setting and the greater cultural context

Gray space \u3ci\u3eand\u3c/i\u3e green space proximity associated with higher anxiety in youth with autism

This study used ZIP code level data on children\u27s health (National Survey of Children\u27s Health, 2012) and land cover (National Land Cover Database, 2011) from across the United States to investigate connections between proximity to green space (tree canopy), gray space (impervious surfaces), and expression of a critical co-morbid condition, anxiety, in three groups of youth: children diagnosed with autism spectrum disorder (ASD, n=1501), non-ASD children with special healthcare needs (CSHCN, n=15,776), and typically developing children (n=53,650). Both impervious surface coverage and tree canopy coverage increased the risk of severe anxiety in youth with autism, but not CSHCN or typical children. Children with ASD might experience the stress-reducing benefits of nature differently than their typically developing peers. More research using objective diagnostic metrics at finer spatial scales would help to illuminate complex relationships between green space, anxiety, and other co-morbid conditions in youth with ASD