A Critical Analysis of the University of Georgia\u27s Response to the United States Supreme Court Decisions in Grutter v. Bollinger and Gratz v. Bollinger

Minority enrollments at selective colleges and universities have historically been low. Affirmative action programs have been a primary driver for increasing enrollments. These programs were called into question in the Grutter and Gratz US Supreme Court cases (2003). The Court’s opinions in these cases provide direction for institutions in setting admissions policy. Using a qualitative methodology, this study examined the University of Georgia’s response to the Grutter and Gratz Supreme Court decisions. The study utilized data from interviews with UGA officials, as well as documentary evidence, to chronologically reconstruct the actions that UGA initiated following the Grutter and Gratz decisions. The study utilized a narrative analytic approach to analyze UGA rationale for its action. It assessed officials’ statements to identify dominant narratives related to the use of race in admissions at UGA. This study positioned the dominant narratives of officials’ relative to competing understandings of admissions, race and the law extracted from the scholarly literature. A metanarrative was developed to highlight commonly held assumptions in the debate around the use of race in higher education admissions. The metanarrative was found to be a useful tool for managing competing perspectives in efforts to develop viable policy approaches for admissions in the future. The study is important in at least two ways: 1) it explains sources of conflict in the affirmative action debate and 2) it suggests the usefulness of narrative policy analysis for policy making related to race, diversity, and admissions in higher education

Commingling Effect of Gynoid and Android Fat Patterns on Cardiometabolic Dysregulation in Normal Weight American adults

AIM: To determine the independent and commingling effect of android and gynoid percent fat (measured using Dual Energy X-Ray Absorptiometry) on cardiometabolic dysregulation in normal weight American adults. METHODS: The 2005–2006 data (n = 1802) from the United States National Health and Nutritional Examination Surveys (NHANES) were used in this study. Associations of android percent fat, gynoid percent fat and their joint occurrence with risks of cardiometabolic risk factors were estimated using prevalence odds ratios from logistic regression analyses. RESULTS: Android-gynoid percent fat ratio was more highly correlated with cardiometabolic dysregulation than android percent fat, gynoid percent fat or body mass index. Commingling of android and gynoid adiposities was associated with much greater odds of cardiometabolic risk factors than either android or gynoid adiposities. Commingling of android and gynoid adiposities was associated with 1.75 (95% confidence interval (CI) = 1.42–2.93), 1.48 (95% CI = 1.32–1.91), 1.61 (95% CI = 1.50–1.89), 3.56 (95% CI = 2.91–4.11) and 1.86 (95% CI = 1.49–1.96) increased odds of elevated glucose, elevated blood pressure, elevated low- density lipoprotein-cholesterol, elevated triglyceride and low high-density lipoprotein-cholesterol, respectively. CONCLUSIONS: Normal weight subjects who present with both android and gynoid adiposities should be advised of the associated health risks. Both android and gynoid fat accumulations should be considered in developing public health strategies for reducing cardiometabolic disease risk in normal weight subjects

Nutrition and Physical Activity in Child Care Centers: the Impact of a Wellness Policy Initiative on Environment and Policy Assessment and Observation Outcomes, 2011

Introduction The child care environment has emerged as an ideal setting in which to implement policies that promote healthy body weight of children. The purpose of this study was to assess the effect of a wellness policy and training program on the physical activity and nutrition environment in 24 child care centers in Georgia. Methods We used the Environment and Policy Assessment and Observation instrument to identify changes to foods served, staff behaviors, and physical activity opportunities. Observations were performed over 1 day, beginning with breakfast and concluding when the program ended for the day. Observations were conducted from February 2010 through April 2011 for a total of 2 observations in each center. Changes to nutrition and physical activity in centers were assessed on the basis of changes in scores related to the physical activity and nutrition environment documented in the observations. Paired t test analyses were performed to determine significance of changes. Results Significant improvements to total nutrition (P \u3c .001) and physical activity scores (P \u3c .001) were observed. Results indicate that centers significantly improved the physical activity environments of centers by enhancing active play (P = .02), the sedentary environment (P = .005), the portable environment (P = .002), staff behavior (P = .004), and physical activity training and education (P \u3c .001). Significant improvements were found for the nutrition environment (P \u3c .001), and nutrition training and education (P \u3c .001). Conclusion Findings from this study suggest that implementing wellness policies and training caregivers in best practices for physical activity and nutrition can promote healthy weight for young children in child care settings

Administrative Data Linkage to Evaluate a Quality Improvement Program in Acute Stroke Care, Georgia, 2006–2009

Tracking the vital status of stroke patients through death data is one approach to assessing the impact of quality improvement in stroke care. We assessed the feasibility of linking Georgia hospital discharge data with mortality data to evaluate the effect of participation in the Georgia Coverdell Acute Stroke Registry on survival rates among acute ischemic stroke patients. Methods Multistage probabilistic matching, using a fine-grained record integration and linkage software program and combinations of key variables, was used to link Georgia hospital discharge data for 2005 through 2009 with mortality data for 2006 through 2010. Data from patients admitted with principal diagnoses of acute ischemic stroke were analyzed by using the extended Cox proportional hazard model. The survival times of patients cared for by hospitals participating in the stroke registry and of those treated at nonparticipating hospitals were compared. Results Average age of the 50,579 patients analyzed was 69 years, and 56% of patients were treated in Georgia Coverdell Acute Stroke Registry hospitals. Thirty-day and 365-day mortality after first ad- mission for stroke were 8.1% and 18.5%, respectively. Patients treated at nonparticipating facilities had a hazard ratio for death of 1.14 (95% confidence interval, 1.03–1.26; P = .01) after the first week of admission compared with patients cared for by hospitals participating in the registry. Conclusion Hospital discharge data can be linked with death data to assess the impact of clinical-level or community-level chronic disease control initiatives. Hospitals need to undertake quality improvement activities for a better patient outcome

Investigating a genetic link between Alzheimer’s Disease and CADASIL related Cerebral Small Vessel Disease

Monogenic forms of Alzheimer’s disease (AD) have been identified through mutations in genes such as APP, PSEN1, and PSEN2, whilst other genetic markers such as the APOE ε carrier allele status have been shown to increase the likelihood of having the disease. Mutations in these genes are not limited to AD, as APP mutations can also cause an amyloid form of cerebral small vessel disease (CSVD) known as cerebral amyloid angiopathy, whilst PSEN1 and PSEN2 are involved in NOTCH3 signalling, a process known to be dysregulated in the monogenic CSVD, cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). The overlap between AD genes and causes of CSVD led to the hypothesis that mutations in other genes within the PANTHER AD–presenilin pathway may be novel causes of CSVD in a cohort of clinically suspicious CADASIL patients without a pathogenic NOTCH3 mutation. To investigate this, whole exome sequencing was performed on 50 suspected CADASIL patients with no NOTCH3 mutations, and a targeted gene analysis was completed on the PANTHER. ERN1 was identified as a novel candidate CSVD gene following predicted pathogenic gene mutation analysis. Rare variant burden testing failed to identify an association with any gene; however, it did show a nominally significant link with ERN1 and TRPC3. This study provides evidence to support a genetic overlap between CSVD and Alzheimer’s disease.</p

The Relationship between Health Literacy and COVID-19 Vaccination Prevalence during a Rapidly Evolving Pandemic and Infodemic

The gap between how health information is communicated and what people understand and can use to make informed health decisions is called health literacy. This gap was exacerbated by the rapidly changing and excessive volume of information, misinformation, and disinformation during the COVID-19 pandemic. People with lower health literacy may not have understood the importance of COVID-19 vaccination for themselves or for their communities. Our aim was to understand health literacy levels within Fulton County, Georgia, and their relationship to vaccine prevalence. Fulton county residents ages 18 and over (n = 425) completed an on-line Health Literacy Questionnaire. Individual, organizational, functional, interactive, and critical health literacy scales were created. Vaccination prevalence data were collected from the Georgia Vaccine Distribution Dashboard. All data were divided into one of three county areas. There were statistically significant variations in vaccine prevalence χ2(3) = 29.325, p \u3c 0.001 among the three county areas. All levels of health literacy predicted overall county vaccination prevalence F (4,420) = 85.941, p \u3c 0.001, There were significant differences in health literacy levels among two of the three county area pairs; the lowest resourced county area had the lowest vaccination prevalence and health literacy rates. This is the first example of relating direct health literacy measures across a major metropolitan US county with vaccine prevalence data

Community-based Approaches to Reduce Chronic Disease Disparities in Georgia

Background: Among underserved and racial/ethnic minority populations in Georgia, there are profound health disparities and a burden of chronic diseases. Such diseases, which are preventable, are influenced by risk factors, including poor nutrition, physical inactivity, lack of quality health care, and tobacco use and exposure. Awardees of the Racial and Ethnic Approaches to Community Health (REACH) and Partnerships to Improve Community Health (PICH) are implementing community-based initiatives using evidence-based, policy, systems, and environmental approaches to reduce racial and ethnic health disparities and the chronic disease burden in underserved urban and rural Georgia communities. Methods: Within the context of a social ecological framework, the REACH and PICH awardees selected interventions. Their impact in the areas of tobacco use and exposure, chronic disease prevention and management, and nutrition are described. Results: To date, the interventions of Georgia’s PICH and REACH awardees have reached approximately 805,000 Georgia residents. Conclusions: By implementing strategies for community-based policy, systems, and environmental improvement, Georgia’s PICH and REACH awardees are reducing tobacco use and exposure; increasing access to healthy foods; and providing chronic disease prevention, risk reduction, and management opportunities for underserved communities in urban and rural Georgia communities. Their efforts to address chronic disease risk factors at various social and ecological levels are contributing to a reduction in racial/ethnic health disparities and the chronic disease burden in Georgia

Qualitative Exploration of Cross-Sector Perspectives on the Contributions of Local Health Departments in Land-Use and Transportation Policy

INTRODUCTION: Transportation and land-use policies can affect the physical activity of populations. Local health departments (LHDs) are encouraged to participate in built-environment policy processes, which are outside their traditional expertise. Cross-sector collaborations are needed, yet stakeholders\u27 perceptions of LHD involvement are not well understood. The objective of this study was to describe the perceived value of LHD participation in transportation and land-use decision making and potential contributions to these processes among stakeholders. METHODS: We analyzed qualitative data from 49 semistructured interviews in 2015. Participants were professionals in 13 US states and 4 disciplines: land-use planning (n = 13), transportation/public works (n = 11), public health (n = 19), and other (municipal administration and bike and pedestrian advocacy [n = 6]). Two analysts conducted directed content analysis. RESULTS: All respondents reported that LHDs offer valuable contributions to transportation and land-use policy processes. They identified 7 contributions (interrater agreement 91%): 1) physical activity and health perspective (n = 44), 2) data analysis and assessment (n = 41), 3) partnerships in the community and across sectors (n = 35), 4) public education (n = 27), 5) knowledge of the public health evidence base and best practices (n = 23), 6) resource support (eg, grant writing, technical assistance) (n = 20), and 7) health equity (n = 8). CONCLUSION: LHDs can leverage their strengths to foster cross-sector collaborations that promote physical activity opportunities in communities. Our results will inform development of sustainable capacity-building models for LHD involvement in built-environment decision making

Developing Core Capabilities for Local Health Departments to Engage in Land Use and Transportation Decision Making for Active Transportation

OBJECTIVE: To develop a core set of capabilities and tasks for local health departments (LHDs) to engage in land use and transportation policy processes that promote active transportation. DESIGN: We conducted a 3-phase modified Delphi study from 2015 to 2017. SETTING: We recruited a multidisciplinary national expert panel for key informant interviews by telephone and completion of a 2-step online validation process. PARTICIPANTS: The panel consisted of 58 individuals with expertise in local transportation and policy processes, as well as experience in cross-sector collaboration with public health. Participants represented the disciplines of land use planning, transportation/public works, public health, municipal administration, and active transportation advocacy at the state and local levels. MAIN OUTCOME MEASURES: Key informant interviews elicited initial capabilities and tasks. An online survey solicited rankings of impact and feasibility for capabilities and ratings of importance for associated tasks. Feasibility rankings were used to categorize capabilities according to required resources. Results were presented via second online survey for final input. RESULTS: Ten capabilities were categorized according to required resources. Fewest resources were as follows: (1) collaborate with public officials; (2) serve on land use or transportation board; and (3) review plans, policies, and projects. Moderate resources were as follows: (4) outreach to the community; (5) educate policy makers; (6) participate in plan and policy development; and (7) participate in project development and design review. Most resources were as follows: (8) participate in data and assessment activities; (9) fund dedicated staffing; and (10) provide funding support. CONCLUSIONS: These actionable capabilities can guide planning efforts for LHDs of all resource levels

Multi-phenotype genome-wide association studies of the Norfolk Island isolate implicate pleiotropic loci involved in chronic kidney disease

Chronic kidney disease (CKD) is a persistent impairment of kidney function. Genome-wide association studies (GWAS) have revealed multiple genetic loci associated with CKD susceptibility but the complete genetic basis is not yet clear. Since CKD shares risk factors with cardiovascular diseases and diabetes, there may be pleiotropic loci at play but may go undetected when using single phenotype GWAS. Here, we used multi-phenotype GWAS in the Norfolk Island isolate (n = 380) to identify new loci associated with CKD. We performed a principal components analysis on different combinations of 29 quantitative traits to extract principal components (PCs) representative of multiple correlated phenotypes. GWAS of a PC derived from glomerular filtration rate, serum creatinine, and serum urea identified a suggestive peak (pmin = 1.67 × 10-7) that mapped to KCNIP4. Inclusion of other secondary CKD measurements with these three kidney function traits identified the KCNIP4 locus with GWAS significance (pmin = 1.59 × 10-9). Finally, we identified a group of two SNPs with increased minor allele frequencies as potential functional variants. With the use of genetic isolate and the PCA-based multi-phenotype GWAS approach, we have revealed a potential pleotropic effect locus for CKD. Further studies are required to assess functional relevance of this locus