Health-Related Quality of Life and Future Care Planning Among Older Adults: Exploring the Role of Hope as a Moderator

Older adults have an increased risk for illness and disease, factors that can lead to functional impairment and intensify the need for reliance on supportive services. Planning for long-term care needs is a vital component of healthy aging and continued autonomy. Yet, many older adults fail to make plans in advance, perhaps due to differences in personal characteristics. The moderating effects of trait hope on the relationship between health-related quality of life (HRQoL) and preparation for future care needs (PFCN) was studied in a sample of 65 older adult primary care patients (\u3c65 years) in western New York. Participants completed a questionnaire on 5 dimensions of PFCN (awareness of risk, information gathering, decisions about care preferences, concrete planning, and active avoidance). In addition, data were collected on five HRQoL domains (physical function, physical role function, emotional role function, social function, and bodily pain) and trait hope. Moderated multiple regression was used to test the moderator hypothesis controlling for personal characteristics. Post-hoc probing was used to further examine significant interactions. At the bivariate level, social functioning, physical functioning, and emotion-based role were inversely related to PFCN and positively related to hope. Multivariate moderation models covarying age, sex, race, education, illness burden, and functional impairment indicated that hopefulness, particularly agentic thinking or goal identification, moderated the relationship between those three HRQoL dimensions and PFCN behaviors. Among those with greater role limitations, lower hope was associated with more awareness of risk and information gathering and less concrete decision making, whereas among individuals with fewer role limitations and better social and physical functioning, higher levels of hopefulness were associated with increased decision making. These results highlight the need for health professionals to gain a better understanding of their patients\u27intrapersonal characteristics when discussing issues related to future care planning

Reimagining A Caregiver-friendly Society

Demographic aging is accelerating in the Appalachian Region, resulting in a growing proportion of caregivers living in areas that lack services to support their needs. Strategies are urgently needed in Appalachia to address deficiencies in the region’s long-term supports and services for older adults and their caregivers. Strengthening equitable access to care and community supports for family caregivers is a policy priority for state and community leaders in Appalachia

Association between Alzheimer\u27s disease and Rural Northeast Tennessee Region between 2013 and 2015

Background: Alzheimer’s disease (AD) is a type of Dementia and a neurodegenerative disease that is characterized by the gradual degrading of both memory and cognitive functions. According to the World Health Organization (WHO), the prevalence of AD is increasing globally. Currently, AD is the sixth leading cause of mortality in the United States. As the ageing population increases in the United States, it is possible that AD will move up the ladder in the top cause of mortality. Although the prevalence of AD in most urban parts of developed nations such as the United States is widely known, little is known about the prevalence and early diagnosis of the disease among the rural populations. According to a study by the Centers for Disease Control and Prevention (CDC), on deaths from AD between 1999 and 2014, most mortality are concentrated in the rural counties of the Appalachian region of the United States, where the mortality rate has increased by an alarming 75%. Our study focuses on the Northeast Tennessee region, which is a prominent part of the Appalachian region. We examine the prevalence of Alzheimer’s disease in the Northeast Tennessee region compared to other parts of the state of Tennessee. We sought to understand whether there is a likely association between the disease and the rural counties in the Northeast Tennessee region. Methods: We performed a cross-sectional study that computes and compares between the Prevalence Odds Ratio (POR) of the 2013 to 2015 Centers for Medicare and Medicaid Services Public Use Files data on rural versus urban counties in the Northeast Tennessee region followed by the Northeast Tennessee counties versus other counties in Tennessee. In addition, we collected primary data from 44 experts and professionals working in AD-related fields within the Northeast Tennessee region using an online survey that captures the perceived observation of the experts and professionals about the increasing prevalence of AD over the last five years. Results: Findings show that the rural counties within the Northeast Tennessee region had 18.3% (POR: 1.183, C.I: 1.113-1.258), 4.7% (POR: 1.047, C.I: 0.982-1.117), and 19% (POR: 1.190, C.I: 1.121-1.264) increased odds of prevalence of AD compared to the urban counties within the region in 2013, 2014, and 2015, respectively. Similarly, the Northeast Tennessee region as a whole, had increased odds of 22.7% (POR: 1.227, C.I: 1.203-1.250), 22.5% (POR: 1.225, C.I: 1.202-1.249), and 21.2% (POR: 1.212, C.I: 1.189-1.235) of AD compared to all other counties in Tennessee during the same periods. Conclusions: Statistical analysis and findings from experts and professionals working with patients with AD in the Northeast Tennessee region show that there are more cases of AD in the Northeast Tennessee region compared to the last five years. We suggest early screening strategies for possible decrease in the morbidity and mortality rates in Northeast Tennessee region

Social Media Use Among Nonprofit Organizations in Rural Appalachia

Introduction: Social media have changed the landscape of health communication for nonprofit organizations (NPOs). Yet, adoption and use of social media lag among NPOs in rural Appalachia due largely to limited infrastructure development. Methods: Semi-structured phone interviews were conducted in January–March 2018 with 21 NPO representatives in an 8-county region of rural Appalachian Tennessee. NPO representatives were asked questions pertaining to social media use and message content, effective communication strategies, and best practices in social media use. Transcripts were analyzed in April–May 2018 using thematic analysis. Results: The majority of NPOs had a Facebook page and recognized its promise as a communication tool. However, due to resource constraints, most NPOs used social media as a secondary communication strategy to complement traditional approaches. In terms of messaging, NPOs used social media primarily to share information and solicit donations or volunteers. Representatives identified several obstacles to social media use among NPOs in the region. These included limited organizational resources, community infrastructure, and household resources. Implications: Social media are inexpensive communication tools that NPOs in rural Appalachia can use to expand their digital footprint into hard-to-reach populations. Therefore, eliminating the digital divide across the U.S. is an important step toward enhancing rural NPOs’ capacity to serve their communities well. Opportunities for NPO staff to access low-cost professional development and training in the use of social media, specifically for social marketing purposes, are also essential

Examining Social Isolation and Loneliness: Cross-Sectional Needs Assessment among Community-Dwelling Older Adults

Social isolation and loneliness (SIL) represent a growing public health and public policy concern, particularly among older adults. Half of older adults over the age of 60 are at risk of social isolation and one-third experience loneliness. SIL is a particular concern for individuals aging-in-place in low-density and rural areas. SIL increases the risk of premature death from all causes in older individuals, and results in $6.7 billion in additional Medicare spending annually. Tennessee is ranked tenth in the nation for risk of social isolation. Strategies to promote social connections are a critical step in designing age-friendly communities. A cross-sectional survey of a convenience sample of older adults (62 years and older) living in affordable housing apartment complexes in Hawkins County, TN was conducted in February and March 2023. Loneliness (UCLA 3-item Loneliness Scale), social isolation (Lubben Social Network Scale 6-item), and sense of community (Brief Sense of Community Scale) were assessed. Data were also gathered on demographic characteristics, health status, social engagement, and strategies to support older adults aging-in-place. Data from 82 participants aged 62 to 95 (73.14 mean age; SD = 7.00) were analyzed. The majority of participants were female (67$14,225 (43%). Nearly half (44%) report their health as fair or poor compared to others their age and 79% of participants have 4 or more chronic conditions. Overall mean loneliness score indicated moderate loneliness (mean = 4.9; SD = 2.08; range 0-9). 48% were at risk of social isolation (mean = 13.35; SD = 6.14; range 0-29). The total mean sense of community score was moderate (mean = 22.9; SD = 1.09; range 0-40). Factors associated with SIL will be analyzed using Pearson’s correlation test. Strategies to promote social engagement will be discussed. Living and growing older in rural communities is considered a primary risk factor for SIL. To support healthy aging, local efforts must include strategies to increase social engagement for rural older adults and their communities. Results from this needs assessment will be used to generate recommendations that can be used to improve social connectedness among older adults living in Hawkins County, TN

Barriers to Healthy Eating Among High School Youth in Rural Southern Appalachia

Introduction: Diet and nutrition play an important role in a child’s health and reduce the risk of numerous health problems including obesity. Dietary habits can be difficult to modify in children, particularly in Appalachia, where access to affordable, healthy foods is limited. Purpose: To examine barriers to healthy eating among Appalachian youth. Methods: In 2013–2014, data were gathered via focus groups and interviews from parents, school personnel, and adolescents (N=99) in six counties across southern Appalachia. Data were analyzed using thematic network analysis. Analysis was completed in 2015. Results: Participants identified multiple barriers to healthy eating among adolescents. Barriers comprised three global themes: cultural norms, school-based nutrition policy and programming, and rurality. Within the individual and home environment, beliefs and practices, time management, and preference for unhealthy foods affected adolescents’ dietary behaviors. Schools faced challenges in terms of translating nutrition policy into practice, providing nutrition education, and engaging stakeholders. Limited socioeconomics and food deserts/swamps were community-level impacts. Implications: Participants discussed how adolescents’ eating behaviors were shaped by social, physical, and environmental factors (e.g., cultural norms, school-based nutrition policy/programming, and rurality). These findings provide important insights into barriers to healthy eating in this population and point to future directions for research and practice. For example, the findings can be used by school personnel to develop ecologic approaches to school-based nutrition programming in Appalachia. Student associations can also use these findings to actively participate in efforts to improve school food offerings

Self-Reported Versus Actual Weight and Height Data Contribute to Different Weight Misperception Classifications

Objectives: The purpose of the study was to examine potential differences between two approaches to defining adolescent weight misperception. Specifically, weight status perception was compared with self-reported weight status and actual weight status (based on body mass index percentiles calculated from self-reported and actual weights and heights, respectively). Furthermore, the accuracy of assigning weight status based on body mass index percentiles calculated from self-reported weights and heights was assessed by comparing them with actual weight status. Methods: Data were extracted from Team Up for Healthy Living, an 8-week, school-based obesity prevention program in southern Appalachia. Participants (N = 1509) were predominately white (93.4%) and ninth graders (89.5%), with approximately equivalent representation of both sexes (50.7% boys). Results: The study revealed significant differences between the approaches to defining weight misperception (χ2 = 16.2; P = 0.0003). Conclusions: Researchers should interpret study findings with awareness of potential differences based on the method of calculating weight misperception

Connections Network: Harnessing the Collective Influence of Grassroots Leaders to Address Health-Related Problems in Hawkins and Hancock County, TN

In March 2021, grassroots leaders in two counties in northeast Tennessee formed a new network called Connections. Leaders are working to strengthen the capacity of the network and member organizations by promoting partnerships as vital to address effectively rural social determinants of health. Connections provides network members with capacity-building tools and resources, including two funding opportunities, to achieve their missions and sustain impact. Network members are also aligning around common goals to address the socioeconomic conditions affecting health outcomes. Connections will utilize findings from network activities and collaborations to identify synergies that can accelerate improvements in community health and well-being

The National School Lunch Program in Rural Appalachian Tennessee – or Why Implementation of the Healthy, Hunger Free Kids Act of 2010 was Met with Challenges: A Brief Report

Purpose: The purpose of this study was to investigate challenges faced by high schools in rural Appalachia in implementing the Healthy, Hunger Free Kids Act of 2010 (HHFKA). Methodology: We used qualitative, secondary analysis to analyze a collection of thirteen focus groups and 22 interviews conducted in 2013-14 among parents, teachers, and high school students in six counties in rural Appalachian Tennessee (n=98). Results: Five basic themes were identified during the thematic analysis: poor food quality prior to implementation of the HHFKA school nutrition reforms; students’ preference for low-nutrient energy-dense foods; low acceptance of healthier options after implementation of the HHFKA school nutrition reforms; HHFKA school nutrition reforms not tailored to unique needs of under-resourced communities; and students opting out of the National School Lunch Program after implementation of the HHFKA school nutrition reforms. Rural communities face multiple and intersecting challenges in implementing the HHFKA school nutrition reforms. Conclusion: As a result, schools in rural Appalachia may be less likely to derive benefits from these reforms. The ability of rural schools to take advantage of school nutrition reforms to improve student health may depend largely on factors unique to each community or school

Prevalence of and Risk Factors for Adolescent Obesity in Tennessee Using the 2010 Youth Risk Behavior Survey (YRBS) Data: An Analysis Using Weighted Hierarchical Logistic Regression

Background: The rate of adolescent overweight and obesity has more than quadrupled over the past few decades, and has become a major public health problem [1]. In 2011, 55% of 12-19 year olds in the United States (U.S.) were overweight or obese [2]. Adolescence is a pivotal time in which many health risk behaviors such as tobacco, alcohol, and drug use are initiated. Such health risk behaviors have been significantly associated with overweight and obesity among adolescents. Objective: The purpose of this study is to evaluate the relationship between obesity and the health risk behaviors most commonly associated with premature morbidity and mortality among adolescents with a novel micro area estimate approach that uses weighted hierarchical logistic regression to nest individuals in classes, classes in schools, and schools in districts. Methods: This study is a secondary analysis of a state-wide representative sample of middle school students that participated in the 2010 Tennessee Middle School Youth Risk Behavior Survey (YRBS). Data was collected from 119 (85.6%) of Tennessee’s local education agencies (LEAs), 456 (95.2%) schools, and 64,790 of 78,441 (82.6%) students. The outcome variable was adolescent obesity (≥ 95th BMI percentile). Explanatory variables were divided into four levels [1] district level: use seatbelt/helmet, asked to show ID for tobacco purchase; [2] school level: ever tried smoking, received HIV education in school; [3] class level: average number of days smoked, having ever exercised to lose weight; [4] individual level: having ever been in fight, early onset of substance use, physical activity, and thought about, planed, or attempted suicide. Weighted hierarchical logistic regression analysis was performed to assess the association between risk factors or protective factors and obesity using effect size (ES) and odds ratio (OR) estimates. Results: The study sample included 64,790 middle school students in the state of Tennessee with a mean age of 12.8 years, of which (49.42%) were females and (50.58%) were males. Nearly one-fourth of the students had a BMI at or above the 95th percentile (22.30%). Weighted hierarchical logistic regression analysis shows that seatbelt and helmet use [ES: -2.161 OR: 0.020, 95% CI: (0.006, 0.070)], and weight misperception [ES: 1.256 OR: 9.720, 95% CI: (9.216, 10.251)], having ever exercised to lose weight [ES: -0.340 OR: 0.540, 95% CI: (0.446, 0.654)], having ever tried smoking [ES: 0.705 OR: 3.581, 95% CI: (2.637, 4.863)] and gender (male vs female) [ES: 0.327 OR: 1.810, 95% CI: (1.740, 1.880)] were strongly associated with adolescent obesity. Results from this study also showed that Black, Hispanic or Latino adolescents were more likely to be obese than Whites, Indian, and Asian adolescent [ES: 0.129 OR: 1.260, 95% CI: (1.200, 1.330)], students with grades of mostly C, D and F were more likely to be obese than those with grades of mostly A and B [ES: 0.189 OR: 1.409, 95% CI: (1.303, 1.523)], and that students having an eating disorder [ES: 0.251 OR: 1.576, 95% CI: (1.508, 1.648)] and/or engagement in sports teams [ES: -0.197 OR: 0.700, 95% CI: (0.674, 0.728)] had small or medium ES association with adolescent obesity. Conclusion:This study uses small area estimates in weighted hierarchical logistic regression models to describe the prevalence and distribution of health risk behaviors associated with adolescent obesity among middle school student subpopulations in Tennessee. The value of small area estimates has been demonstrated previously in a variety of other contexts, and again here offers important insights for intervention design and resource allocation at different micro-levels within small and large areas (i.e., district, school, and class). This work adds to the growing body of research that supports community-driven school-based lifestyle interventions targeting early-onset chronic disease and, more specifically, enhances the geographic resolution with which adolescent obesity can be addressed in middle school populations across Tennessee