The Politics and Policy of Small City Downtown Development

Many theories on successful small city development and revitalization efforts hinge on three major areas; Policies and programs, quality of life, and strong coalitions between government, non-profit groups, local business, and residents. This dissertation examines the affects that government policies and programs (e.g., Main Street programs, zoning laws, etc.) have on the success of small city development and revitalization efforts. Using original survey data from a sample of key small city policy makers across the United States, this dissertation explores how perceptions of small city downtowns are influenced by government efforts to improve them. Regression analysis is employed to determine these relationships. Perceptions of the overall quality of life are also addressed. The dissertation concludes that mixed-use zoning, programs such as Main Street USA, cooperation among key stakeholders, and the perceptions of quality of life in a given area have a highly significant impact on the success of downtowns. The implications found here can aid cities striving to improve their downtowns and the quality of life for the people who live there

Evaluability Assessment of “Growing Healthy Communities,” a Mini-grant Program to Improve Access to Healthy Foods and Places for Physical Activity

Mini-grants have been used to stimulate multisector collaboration in support of public health initiatives by funding non-traditional partners, such as economic development organizations. Such mini-grants have the potential to increase access to healthy foods and places for physical activity through built environment change, especially in small and rural towns in the United States. Although a promising practice, few mini-grant evaluations have been done. Therefore, our purpose was to conduct an Evaluability Assessment (EA), which is a process that can help promising programs that lack evidence advance toward full-scale evaluation. Specifically, we conducted an Evaluability Assessment of a statewide mini-grant program, called “Growing Healthy Communities” (GHC), to determine if this program was ready for evaluation and identify any changes needed for future implementation and evaluation that could also inform similar programs

Changes in Cardiovascular Health in the United States, 2003–2011

Background Cardiovascular disease is the leading cause of death in the United States, making improving cardiovascular health a key population health goal. As part of efforts to achieve this, the American Heart Association has developed the first comprehensive cardiovascular health index (CVHI). Our objective was to investigate the changes in CVHI in US states from 2003 to 2011. Methods and Results CVHI was examined using Behavioral Risk Factor Surveillance System data between 2003 and 2011 (odd‐numbered years). Total CVHI decreased from 3.73±0.01 in 2003 to 3.65±0.01 in 2009. The majority of states (88%) experienced a decline in CVHI and an increase in the prevalence of “poor” CVHI between 2003 and 2009. Among CVHI components, the highest prevalence of “ideal” was observed for blood glucose followed by smoking, whereas the lowest prevalence of “ideal” was observed for physical activity and diet. Between 2003 and 2009, prevalence of “ideal” smoking and diet status increased, while “ideal” prevalence of blood pressure, cholesterol, blood glucose, body mass index, and physical activity status decreased. We observed statistically significant differences between 2009 and 2011, outside the scope of the 2003–2009 trend, which we hypothesize are partially attributable to differences in sample demographic characteristics related to changes in Behavioral Risk Factor Surveillance System methodology. Conclusions Overall, CVHI decreased, most likely due to decreases in “ideal” blood pressure, body mass index, and cholesterol status, which may stem from low prevalence of “ideal” physical activity and diet status. These findings can be used to inform state‐specific strategies and targets to improve cardiovascular health

Exploring Health Insurance Status and Emergency Department Utilization

Emergency department (ED) use, by both insured and uninsured, leads to significant health care costs in the United States. While frequent ED use is often attributed to the uninsured, there is some evidence that insured populations also report utilizing the ED when otherwise preventable or nonurgent. We conducted in-person surveys of patients visiting the ED at a large research hospital and examined the differences in their characteristics based on the health insurance status. While less than the uninsured, insured individuals still report barriers to access to care outside the ED that include lack of access to another health care facility and unavailability of a doctor’s office or clinic

Factors Associated with Physical Activity Increases and Decreases Among a Sample of Appalachian Residents During the COVID-19 Pandemic: A Cross-Sectional Study

Introduction: Physical activity (PA) can prevent and reduce the deleterious physical and mental health effects of COVID-19 and associated lockdowns. Research conducted early in the pandemic demonstrates that a greater proportion of adults in the U.S. have decreased than increased PA, and the effects vary by sociodemographic factors. Ongoing evidence is important to identify patterns in PA changes during the pandemic. Purpose: This study aims to identify factors associated with increases and decreases in PA during the COVID-19 pandemic in a convenience sample of adults residing in Appalachia. Methods: Surveys were collected from a convenience sample of adults from eight counties in West Virginia from January to March 2021. Logistic regression analysis was used to identify sociodemographic, health, and rurality factors associated with (1) increased PA and (2) decreased PA during the pandemic, assessed retrospectively via self-report. Results: Analysis of 1,401 survey responses revealed that better self-rated health, lower body mass index, and higher income and education were associated with a greater likelihood of more time spent doing PA during the pandemic (p ≤ .05). Respondents with lower self-rated health, higher body mass index, lower income, and lower levels of education—plus females and those living in a more urban county—were more likely to spend less time doing PA during the pandemic (p ≤ .05). Implications: Analyses suggest that pre-pandemic disparities in PA by health, wealth, and education were exacerbated during the pandemic. These must be addressed before physical inactivity and ill health become endemic to the Appalachian Region

Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes

BACKGROUND: Data are lacking on the long-term effect on cardiovascular events of adding sitagliptin, a dipeptidyl peptidase 4 inhibitor, to usual care in patients with type 2 diabetes and cardiovascular disease. METHODS: In this randomized, double-blind study, we assigned 14,671 patients to add either sitagliptin or placebo to their existing therapy. Open-label use of antihyperglycemic therapy was encouraged as required, aimed at reaching individually appropriate glycemic targets in all patients. To determine whether sitagliptin was noninferior to placebo, we used a relative risk of 1.3 as the marginal upper boundary. The primary cardiovascular outcome was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina. RESULTS: During a median follow-up of 3.0 years, there was a small difference in glycated hemoglobin levels (least-squares mean difference for sitagliptin vs. placebo, -0.29 percentage points; 95% confidence interval [CI], -0.32 to -0.27). Overall, the primary outcome occurred in 839 patients in the sitagliptin group (11.4%; 4.06 per 100 person-years) and 851 patients in the placebo group (11.6%; 4.17 per 100 person-years). Sitagliptin was noninferior to placebo for the primary composite cardiovascular outcome (hazard ratio, 0.98; 95% CI, 0.88 to 1.09; P<0.001). Rates of hospitalization for heart failure did not differ between the two groups (hazard ratio, 1.00; 95% CI, 0.83 to 1.20; P = 0.98). There were no significant between-group differences in rates of acute pancreatitis (P = 0.07) or pancreatic cancer (P = 0.32). CONCLUSIONS: Among patients with type 2 diabetes and established cardiovascular disease, adding sitagliptin to usual care did not appear to increase the risk of major adverse cardiovascular events, hospitalization for heart failure, or other adverse events

Longitudinal Patterns of Emergency Department Visits: A Multistate Analysis of Medicaid Beneficiaries

Objective. The objective of this study was to examine the longitudinal patterns of emergency department (ED) visits among adult fee-for-service Medicaid. Data Sources. Data were obtained from the Medicaid analytic eXtract files, Area Health Resource File, and County Health Rankings. Study Design. A retrospective longitudinal study design, with four observations for each individual was used. The study population consisted of 33,393 Medicaid beneficiaries who met inclusion criteria. ED visits were time-lagged and time-varying patient-level factors were measured for each year. Time-invariant characteristics (gender and race/ethnicity) were measured in 2006. Multivariable hurdle models with logistic (ED use versus no ED use) and negative binomial regressions (ED visits among ED users) were used to analyze the ED visits over time. To account for correlation due to repeated observations, mixed effect models with robust standard errors were performed. Principal Findings. In both unadjusted and adjusted analysis, the likelihood of ED use did not change from year to year (AOR = 1.00, 95 percent CI: 0.99, 1.01). Among ED users, the estimated number of ED visits increased over time (IRR = 1.01, 95 percent CI: 1.01, 1.03). Conclusions. Primary care resources should be a major focus to reduce the increased burden on the EDs

Priority of activity-friendly community issues among key decision makers in Hawaii

The U.S. Community Guide to Preventive Services strongly recommends changes in urban design, land use and accessibility to increase physical activity. To achieve these goals, policy change is often needed. This study assessed attitudes of decision makers in Hawaii to determine if physical activity related issues are among their priorities. Methods: State and county officials (n =179) were mailed surveys. Respondents listed the three most important problems (openended) in Hawaii and rated the importance of 23 specified problems, of which six directly related to physical activity. Results: The survey was completed by 126 (70.4%) respondents. The most frequently mentioned categories for the open-ended questions were affordable housing, environment/sustainability, sprawl/ traffic/population growth, and healthcare. Among the closed-ended physical activity related items, increasing traffic was ranked highest (43.9%) and fourth overall. Less than 12% of decision makers rated other physical activity issues as important. Conclusions: Future work is needed to increase the visibility and importance of physical activity related issues among policymakers

Field Test of a Passive Infrared Camera for Measuring Trail-Based Physical Activity

Introduction: Trails are ubiquitous and far-reaching, but research on the impact trails have on physical activity is limited by the lack of resource-efficient, accurate, and practical systematic observation tools. Commonly used infrared trail sensors count trail use and may broadly differentiate activity (i.e., bicyclist vs. pedestrian), but cannot detect nuances needed for outcomes research such as frequency, intensity, time, and type of activity. Motion-activated passive infrared cameras (PICs), used in ecological research and visitor management in wildlife areas, have potential applicability as a systematic observation data collection tool. Materials and Methods: We conducted a 7-month field test of a PIC as a systematic observation data collection tool on a hiking trail, using photos to identify each trail user\u27s physical activity type, age, sex, and other characteristics. We also tallied hourly trail use counts from the photos, using Bland–Altman plots, paired t-tests, Concordance Correlation Coefficient, Kendall\u27s Tau-b, and a novel inter-counter reliability measure to test concordance against concurrent hourly counts from an infrared sensor. Results: The field test proved informative, providing photos of 2,447 human users of the trail over 4,974 h of data collection. Nearly all of the users were walkers (94.0%) and most were male (69.2%). More of the males used the trail alone (44.8%) than did females (29.8%). Concordance was strong between instruments (p \u3c 0.01), though biased (p \u3c 0.01). Inter-counter reliability was 91.1% during the field study, but only 36.2% when excluding the hours with no detectable trail use on either device. Bland–Altman plots highlighted the tendency for the infrared sensor to provide higher counts, especially for the subsample of hours that had counts \u3e0 on either device (14.0%; 694 h). Discussion: The study\u27s findings highlight the benefits of using PICs to track trail user characteristics despite the needs to further refine best practices for image coding, camera location, and settings. More widespread field use is limited by the extensive amount of time required to code photos and the need to validate the PICs as a trail use counter. The future potential of PICs as a trail-specific PA research and management tool is discussed

Healthcare resource availability and cardiovascular health in the USA

Objectives Cardiovascular disease (CVD) remains the leading cause of death in the USA. Reducing the population-level burden of CVD disease will require a better understanding and support of cardiovascular health (CVH) in individuals and entire communities. The objectives for this study were to examine associations between community-level healthcare resources (HCrRes) and CVH in individuals and entire communities. Setting This study consisted of a retrospective, cross-sectional study design, using multivariable epidemiological analyses. Participants All participants in the 2011 Behavioral Risk Factor Surveillance System (BRFSS) survey were examined for eligibility. CVH, defined using the American Heart Association CVH Index (CVHI), was determined using self-reported responses to 2011 BRFSS questions. Data for determining HCrRes were obtained from the Area Health Resource File. Regression analysis was performed to examine associations between healthcare resources and CVHI in communities (linear regression) and individuals (Poisson regression). Results Mean CVHI was 3.3±0.005 and was poorer in the Southeast and Appalachian regions of the USA. Supply of primary care physicians and physician assistants were positively associated with individual and community-level CVHI, while CVD specialist supply was negatively associated with CVHI. Individuals benefiting most from increased supply of primary care providers were: middle aged; female; had non-Hispanic other race/ethnicity; those with household income \u3c$25 000/year; and those in non-urban communities with insurance coverage. Conclusions Our results support the importance of primary care provider supply for both individual and community CVHI, though not all sociodemographic groups benefited equally from additional primary care providers. Further research should investigate policies and factors that can effectively increase primary care provider supply and influence where they practice. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0