For aging populations age 65 years and older, lack of social engagement, or social isolation, is a public health issue that can have serious health implications. The ability to engage socially can decrease with aging populations due to many factors, such as health status and mobility. As social engagement decreases, the potential for serious diseases, such as dementia, increases. Limited social connections and engagement can be linked to healthcare utilization through increased rates of re-hospitalization as well as potentially decreased ability to and increased need to regularly access physician services. The aim of this research is to expand on the existing body of work in the area of care access and social isolation among aging populations, to examine the relationship between physician office visits and social activity and what differences may exist between those who live in urban and non-urban settings. A cross-sectional analysis was conducted using data from the Fall 2019 Medicare Current Beneficiary Survey (MCBS). The number of physician office visits participants have annually was the variable of primary interest. Physician visits were categorized dichotomously into moderate or no use and high use. Individuals with 11 or more visits were considered to be high utilizers within this data set and those with 10 visits or less as low. The key independent variables in this analysis are social activities and geography of the respondent. Social activities are defined has having social limitations, from respondents indicating limited activities most or all of the time in the past month, or low limitations, indication of some or no limitation of activities within the past month. Metropolitan Statistical Area (MSA) was used to categorize respondents as residing in an urban or rural community. The study population included 11,670 individuals over the age of 65. Approximately 15% of respondents were categorized as high health service utilizers and 85% were low or average. Only 7% of respondents were noted as having high levels of restrictions on social activities. The majority (81%) of respondents were classified as residing in a metro area compared to 19% residing in non-metro areas. High restrictions on social activities were associated with higher numbers of physician visits Approximately 10.6% of individuals with high social restrictions were also categorized as having higher numbers of physician visits compared to 6.6% among those with low social restrictions (OR=1.667; 95%CI: 1.47-1.89). No associations between geography and physician visits were noted. This study found a relationship between restricted social engagement and higher utilization of physician services. These findings were not consistent when adjusting for additional covariates of interest. Because poor general health can play a large part in both the ability to engage socially and high utilization of physician visits in aging populations, these findings underscore the importance of enhancing community services and opportunities for social engagement as health policy tools for improving health and quality of life for aging individuals.

"The purpose of this thesis is to examine the age structure of the population of Texas as it existed in 1960, and insofar as possible to trace important changes and trends in the older group from 1900 to 1960. The qualification derives from the fact that at this time not all of the data from the 1960 census are available, and hence many trends can be described only through 1950. Where appropriate, the structure and trends characteristic of the total population will be described, usually for comparative purposes."-- leaf 1.

Introduction: Nursing homes throughout the U.S. have faced unprecedented challenges in recent years because of staffing shortages, and under-investment, especially since the COVID-19 pandemic. To gain insight into the current state of nursing homes, this study examined nursing home characteristics, quality, and accessibility from a national, regional and state perspective. Methods: This cross-sectional study used secondary data from the Centers for Medicare and Medicaid Services, American Community Survey, Medicare Beneficiary, and the Tennessee Department of Health. Nursing home characteristics and quality were assessed through bivariate and multivariate regression in the U.S. Assessment of HHS Region 4 nursing home characteristics and quality by state cut points were conducted with bivariate analysis. Finally, spatial analysis was conducted to determine nursing home accessibility in Tennessee. Results: In multivariate analyses of all U.S. facilities, non-metropolitan facilities are at 1.27 higher odds of being a 1-star overall rated facility and 0.86 lower odds of being a 5-star facility as compared to metropolitan facilities. When weighted health inspection scores were recategorized by more strict state cut points, 42.45% of HHS Region 4 facilities decreased in health inspection star ratings, while those that were recategorized by more lenient state cut points lead to a 26.64% increase in star ratings. Finally, in the state of Tennessee a mean of 14.9% of county areas are not within 30-minute drive to any nursing home facilities, with 66.4% of county areas being further than a 30-minute drive to a 5-star rated (highest quality) facility. Discussion: Findings from this study show that differences exist in nursing home characteristics that relate to facility quality. Additionally, health inspection 5-star ratings can vary across states, which can make comparison of quality challenging from a consumer perspective. And finally, accessibility to nursing homes can vary throughout a state by metropolitan and non-metropolitan status of the county. An understanding of nursing homes in metropolitan and non-metropolitan communities along with nursing home quality, characteristics of the facility, and characteristics of county populations can enable policymakers to create more equitable policy solutions for nursing homes and the communities they serve.

This investigation concerns the problem of current health care utilization by aged blacks. Utilizing Andersen's model, the volume and pattern of physician utilization associated with selected predisposing, enabling, and need variables is described for an aged population of 163 interviewed blacks residing in Census Tract 212, Denton, Texas, in 1972. None of the six socio-demographic, economic, or health status variables analyzed, through use of Somers' dyx, allowed substantial reduction .of error in predicting a physician visit in the past year. Representing need, selfrated health status was the best predictor variable. Its proportional reduction in error increased from 17 percent to 30 percent, for those with five to seven years education, and to 23 percent, for those reporting the least income.

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