A New Look at Barriers to Clinical Care Among Appalachian Residents Living With Diabetes.

In the United States, diabetes is the seventh leading cause of death and continues to rise in prevalence, with type 2 diabetes accounting for 90-95% of all cases. Rates of diabetes in Kentucky, and, in particular, the Appalachian region, are among the highest in the nation and are increasing faster than the national average. Despite this disproportionate burden, barriers to clinical appointment attendance have not been fully explored in this population. This article examines the association among perceived barriers to clinical attendance, glycemic control, and diabetes self-care as part of an ongoing study. We used a 25-item checklist developed using the Chronic Care Model to assess participants' barriers to clinic attendance. Glycemic control was assessed via A1C measurement. Diabetes self-care was assessed using the Summary of Diabetes Self-Care Activities measure. At the time of analysis, 123 of the 356 participants (34.6%) did not report any barriers to clinic attendance. For the remainder, the major reported barriers included forgetting appointments, inability to afford medicines or other treatment, and placing faith above medical care. The average A1C was 7.7%, and the average diabetes self-care summary score was 17.1 out of 35 points (with higher values indicating better self-care). Missing clinic appointments is associated with lower health outcomes, especially in vulnerable populations. This study can help educate clinic staff on perceived barriers to type 2 diabetes management among people with diabetes in Appalachia.

Equity in Psychosocial Outcomes and Care for Racial and Ethnic Minorities and Socioeconomically Disadvantaged People With Diabetes.

The role of social determinants of health (SDOH) in promoting equity in diabetes prevalence, incidence, and outcomes continues to be documented in the literature. Less attention has focused on disparities in psychosocial aspects of living with diabetes and the role of SDOH in promoting equity in psychosocial outcomes and care. In this review, the authors describe racial/ethnic and socioeconomic disparities in psychosocial aspects of living with diabetes, discuss promising approaches to promote equity in psychosocial care, and provide future research directions.

Feasibility and preliminary data for a State-wide South Carolina Lupus Registry.

BACKGROUND: Systemic lupus erythematosus (SLE) or lupus is an autoimmune disorder whose cause and reason for disproportionate impact on minorities remains enigmatic. Furthermore, statistics describing lupus incidence and prevalence are outdated and often based on small samples. To begin to address this disparity this report describes preliminary data to be utilized in the development of a state-wide lupus registry in South Carolina. METHODS: A prospective survey and retrospective data from the South Carolina Budget and Control Board Office of Research & Statistics were used to capture data pertaining to knowledge of lupus, prevalence, and access to lupus care. RESULTS: Retrospective ORS data indicated there were 11,690 individuals living with lupus in 2014 with the average direct cost of $69,999.40 in medical care. Prospective surveys (N = 325), in over 16 locations in South Carolina, showed 31% knew someone with lupus, 16% had been diagnosed with lupus, and 50% did not know of a medical facility that treated lupus. CONCLUSION: A lupus registry and repository will provide ongoing access for researchers on the impact of lupus on communities in South Carolina. Lupus is highly prevalent, but disproportionately represented in terms of patient information and participation in clinical trials, so it is also expected that this preliminary work will provide an ongoing process in which the medical community can better engage lupus patients.

The mediating/moderating role of cultural context factors on self-care practices among those living with diabetes in rural Appalachia.

BACKGROUND: The aim of this study was to examine whether cultural factors, such as religiosity and social support, mediate/moderate the relationship between personal/psychosocial factors and T2DM self-care in a rural Appalachian community. METHODS: Regression models were utilized to assess for mediation and moderation. Multilevel linear mixed effects models and GEE-type logistic regression models were fit for continuous (social support, self-care) and binary (religiosity) outcomes, respectively. RESULTS: The results indicated that cultural context factors (religiosity and social support) can mediate/moderate the relationship between psychosocial factors and T2DM self-care. Specifically, after adjusting for demographic variables, the findings suggested that social support may moderate the effect of depressive symptoms and stress on self-care. Religiosity may moderate the effect of distress on self-care, and empowerment was a predictor of self-care but was not mediated/moderated by the assessed cultural context factors. When considering health status, religiosity was a moderately significant predictor of self-care and may mediate the relationship between perceived health status and T2DM self-care. CONCLUSIONS: This study represents the first known research to examine cultural assets and diabetes self-care practices among a community-based sample of Appalachian adults. We echo calls to increase the evidence on social support and religiosity and other contextual factors among this highly affected population. TRIAL REGISTRATION: US National Library of Science identifier NCT03474731. Registered March 23, 2018, www.clinicaltrials.gov .

Cost Burden and Mortality in Rural Emergency General Surgery Transfer Patients.

BACKGROUND: Recent articles have suggested regionalization of some emergency general surgery (EGS) problems to tertiary referral centers. We sought to characterize the clinical and cost burden of such transfers to our tertiary referral center. MATERIALS AND METHODS: Data were collected retrospectively for nine EGS diagnoses for patients admitted to the EGS service during calendar years 2015 and 2016. Patients were grouped as inpatient transfers (IPTs), Emergency Department transfers (EDTs), or local admissions (LAs). Demographic data, length of stay at originating site, insurance status, Charlson Comorbidity Index, and all relevant financial data were obtained. RESULTS: Six hundred sixty-three patients were reviewed: 93 IPTs, 343 EDTs, and 227 LAs. IPTs required longer lengths of stay (7.0 d compared to 4.0 d for EDTs and 3.0 d for LAs), higher median direct costs, and higher case mix index, which produced a higher median revenue but averaged a median net loss (-$264 compared to +$2436 for EDTs and +$3125 for LAs). The IPTs had higher median comorbidities (Charlson Comorbidity Index 3.5 versus 2.9 for EDTs and 2.0 for LAs), age (62 y versus 58 for EDTs and 52 for LAs), and mortality rate (7.5% versus 2.3% for EDTs and 0.4% for LAs). CONCLUSIONS: Patients who present to a tertiary care EGS service as an IPT from another hospital have more comorbidities, higher mortality rate, and result in a financial loss. These data suggest the need for adequate risk adjustment in quality assessment of tertiary referral center outcomes and the need for increased financial reimbursement for the care of these patients.

Examination of dietary habits among the indigenous Kuna Indians of Panama.

BACKGROUND: Evidence for dietary habits among the Kuna Indians of Panama outside of cacao consumption is limited. Global trends suggest an uptake in processed foods conferring risk for chronic disease. This paper aims to provide information on dietary habits and investigate sociodemographic correlates of diet for the indigenous population living off the coast of Panama. METHODS: This sample included 211 Kuna Indians ages 18 years or older living within the island communities of Ustupu and Ogobsucum. Cross-sectional data was collected using a paper-based survey to assess dietary patterns. Categories of food included: fruits, vegetables, cacao, fish, sodas, fried, junk, and fast foods. Univariate analyses were used to describe demographic variables, followed by chi-squared tests to understand individual correlates of food types. RESULTS: About 85% reported eating fast food at least weekly, 47% reported eating fried food daily, and 11% reported eating junk food daily. Forty-three percent of the sample population reported eating fish daily. Those with poor incomes reported more fish consumption than any other income group (51%, p = 0.02). After adjusting for all covariates, those in higher income categories were less likely to eat fruits, cacao, and fish daily, but were also less likely to eat fast food weekly and junk food daily. Elderly populations (age 60-90 OR = 12.17, 95%CI 2.00, 73.84), women (OR = 3.43, 95%CI 1.23, 9.56), and those with primary education (OR = 4.83, 95%CI 1.01, 23.0) were also more likely to eat fast food weekly. CONCLUSION: This is the first dietary survey study of the Kuna that focuses on food groups outside of cacao. Results suggest the community could benefit from efforts to increase cultivation of fruits and vegetables and reduce the percentage of energy consumption contributed by fast food, fried food, and junk food. TRIAL REGISTRATION: N/A.

Prevalence and correlates of diagnosed and undiagnosed hypertension in the indigenous Kuna population of Panamá.

BACKGROUND: To determine the prevalence of hypertension and investigate sociodemographic correlates in an indigenous Kuna community living on the San Blas islands of Panama. METHODS: Data was collected from adults using a paper-based survey using a cross sectional study design. Blood pressure was measured, and hypertension defined at two cut-points: 130/80 mmHg and 140/90 mmHg. Individuals with undiagnosed hypertension had a blood pressure measurement that indicated hypertension, however, the individual had not been told by a doctor they had hypertension. Whereas individuals with diagnosed hypertension had been told by a healthcare provider that they had hypertension. Univariate tests compared diagnosed and undiagnosed hypertension by sociodemographic categories and logistic regression models tested individual correlates adjusting for all sociodemographic factors. RESULTS: Two hundred and eleven adult indigenous Kuna participated in the study. Overall prevalence of hypertension was 6.2% (95%CI:3.32-10.30) as defined by 140/90 mmHg, and 16.6% (95%CI:11.83-22.31) as defined by 130/80 mmHg. Hypertension was significantly higher in men (31.6, 95% CI:19.90-45.24, compared to 11.0, 95% CI:6.56-17.09). Individuals with low income were 3 times more likely to be hypertensive (OR = 3.13, 95% CI:1.02-9.60) and 3.5 times more likely to have undiagnosed hypertension (OR = 3.42, 95% CI:1.01-11.52); while those with moderate income were 6 times more likely to be hypertensive (OR = 7.37, 95% CI:1.76-30.90) compared to those who were poor. CONCLUSION: The prevalence of diagnosed and undiagnosed hypertension is higher in men and those with higher income. Investigating these factors remains vitally important in helping improve the health of the Kuna through targeted interventions to address chronic disease.

Survival, Healthcare Utilization, and End-of-life Care Among Older Adults With Malignancy-associated Bowel Obstruction: Comparative Study of Surgery, Venting Gastrostomy, or Medical Management.

OBJECTIVE: To compare survival, readmissions, and end-of-life care after palliative procedures compared with medical management for malignancy-associated bowel obstruction (MBO). BACKGROUND: MBO is a late complication of intra-abdominal malignancy for which surgeons are frequently consulted. Decisions about palliative treatments, which include medical management, surgery, or venting gastrostomy tube (VGT), are hampered by the paucity of outcomes data relevant to patients approaching the end of life. METHODS: Retrospective study using 2001 to 2012 Surveillance, Epidemiology, and End Results-Medicare data of patients 65 years or older with stage IV ovarian or pancreatic cancer who were hospitalized for MBO. Multivariate competing-risks regression models were used to compare the following outcomes: survival, readmission for MBO, hospice enrollment, intensive care unit (ICU) care in the last days of life, and location of death in an acute care hospital. RESULTS: Median survival after MBO admission was 76 days (interquartile range 26-319 days). Survival was shorter after VGT [38 days (interquartile range 23-69)] than medical management [72 days (23-312)] or surgery [128 days (42-483)]. As compared to medical management, patients treated with VGT had fewer readmissions [subdistribution hazard ratio 0.41 (0.29-0.58)], increased hospice enrollment [1.65 (1.42-1.91)], and less ICU care [0.69 (0.52-0.93)] and in-hospital death [0.47 (0.36-0.63)]. Surgery was associated with fewer readmissions [0.69 (0.59-0.80)], decreased hospice enrollment [0.84 (0.76-0.92)], and higher likelihood of ICU care [1.38 (1.17-1.64)]. CONCLUSIONS: VGT is associated with fewer readmissions and lower intensity healthcare utilization at the end of life than do medical management or surgery. Given the limited survival, regardless of management, hospitalization with MBO carries prognostic significance and presents a critical opportunity to identify patients' priorities for end-of-life care.

Social support and breast cancer screening in rural Appalachia.

PURPOSE: Women in the Appalachian region have a high mortality rate attributable to cancer in spite of lower incidence of cancer compared with the general US population. Empirical evidence suggests that social support influences cancer outcomes, including adherence to screening guidelines and treatment recommendations. The purpose of this study is to examine the impact of social support on breast cancer screening patterns in a sample of rural Appalachian women. METHODS: This paper reports the results of analyses of baseline cross-sectional data on breast cancer screening collected during a community-based group-randomized trial. We used the 2010 National Health Institute Survey questionnaires and the Medical Outcomes Study Social Support Survey to assess screening behavior and perceived social support, respectively. Data were analyzed using ANCOVA and ANOVA to assess the mean social support on breast cancer screening patterns (frequently, irregularly, and rarely/never) and relevant sociodemographic variables. FINDINGS: Of the eligible participant records analyzed (N = 289), 50% were married, 36% were employed, 20% attended college, 40% had no mammogram in 6 years, and 20% never had mammograms. Overall social support score was high at 73.1 (SD = 18.2). Association between breast cancer screening patterns and social support scores was not statistically significant at α < 0.05 (P value = 0.09). CONCLUSIONS: Although social support as it measured in this study does not show significant associations with screening patterns, it is important to understand how social network structures may influence screening patterns. Familial and social roles/responsibilities that result in reported social support may also be the barrier to cancer screening and other prevention health behaviors.

Use of social adaptability index to explain self-care and diabetes outcomes.

BACKGROUND: To examine whether the social adaptability index (SAI) alone or components of the index provide a better explanatory model for self-care and diabetes outcomes. METHODS: Six hundred fifteen patients were recruited from two primary care settings. A series of multiple linear regression models were run to assess (1) associations between the SAI and diabetes self-care/outcomes, and (2) associations between individual SAI indicator variables and diabetes self-care/outcomes. Separate models were run for each self-care behavior and outcome. Two models were run for each dependent variable to compare associations with the SAI and components of the index. RESULTS: The SAI has a significant association with the mental component of quality of life (0.23, p < 0.01). In adjusted analyses, the SAI score did not have a significant association with any of the self-care behaviors. Individual components from the index had significant associations between self-care and multiple SAI indicator variables. Significant associations also exist between outcomes and the individual SAI indicators for education and employment. CONCLUSIONS: In this population, the SAI has low explanatory power and few significant associations with diabetes self-care/outcomes. While the use of a composite index to predict outcomes within a diabetes population would have high utility, particularly for clinical settings, this SAI lacks statistical and clinical significance in a representative diabetes population. Based on these results, the index does not provide a good model fit and masks the relationship of individual components to diabetes self-care and outcomes. These findings suggest that five items alone are not adequate to explain or predict outcomes for patients with type 2 diabetes.

Assessing the relationship between neighborhood factors and diabetes related health outcomes and self-care behaviors.

BACKGROUND: Studies have shown that community and neighborhood characteristics can impact health outcomes of those with chronic illness, including T2DM. Factors, such as crime, violence, and lack of resources have been shown to be barriers to optimal health outcomes in diabetes. Thus, the objective of this study is to assess the effects of neighborhood factors on diabetes-related health outcomes and self-care behaviors. METHODS: Adult patients (N = 615) with type 2 diabetes mellitus (T2DM) were recruited from an academic medical center and a Veterans Affairs medical center in the southeastern United States. Validated scales and indices were used to assess neighborhood factors and diabetes-related self-care behaviors. The most recent HbA1c, blood pressure, and LDL cholesterol were abstracted from each patients' electronic medical record. RESULTS: In the fully adjusted model, significant associations were between neighborhood aesthetics and diabetes knowledge (ß = 0.141) and general diet (ß = -0.093); neighborhood comparison and diabetes knowledge (ß = 0.452); neighborhood activities and general diet (ß = -0.072), exercise (ß = -0.104), and foot care (ß = -0.114); food insecurity and medication adherence (ß = -0.147), general diet (ß = -0.125), and blood sugar testing (ß = -0.172); and social support and medication adherence (ß = 0.009), foot care (ß = 0.010), and general diet (ß = 0.016). Significant associations were also found between neighborhood violence and LDL Cholesterol (ß = 4.04), walking environment and exercise (ß = -0.040), and social cohesion and HbA1c (ß = -0.086). DISCUSSION: We found that neighborhood violence, aesthetics, walking environment, activities, food insecurity, neighborhood comparison, social cohesion and social support have statistically significant associations with self-care behaviors and outcomes to varying degrees. However, the key neighborhood factors that had independent associations with multiple self-care behaviors and outcomes were food insecurity, neighborhood activities and social support. CONCLUSION: This study suggests that food insecurity, neighborhood activities, aesthetics, and social support may be important targets for interventions in individuals with T2DM.

Effect of diabetes self-efficacy on glycemic control, medication adherence, self-care behaviors, and quality of life in a predominantly low-income, minority population.

OBJECTIVE: This study examined the effect of self-efficacy on glycemic control, self-care behaviors, and quality of life in low-income, minority adults with diabetes. METHODS: Data on 378 participants were examined. Multiple linear regression assessed associations between self-efficacy, hemoglobin A1c, medication adherence, diabetes knowledge, self-care behaviors and quality of life. RESULTS: Self-efficacy had modest correlations with glycemic control (r = -.250, P < .001), medication adherence (r = -.352, P < .001), diabetes knowledge (r = .118, P = .039), diet (r = .420, P < .001), exercise (r = .220, P < .001), blood sugar testing (r = .213, P < .001), foot care (r = .121, P = .032), and mental health related quality of life (r = .137, P = .017). In the regression model, self-efficacy was significantly associated with glycemic control (3 = -.104, 95% CI: -.157, -.051), medication adherence (3 = -.067, 95% CI: -.090, -.044), diet (3 = .150, 95% CI: .108, .191), exercise (-3 = 113, 95% CI: .065, .161), blood sugar testing (3 = .107, 95% CI: .049, .164) and mental health related quality of life (3 = .112, 95% CI: .051, .173). CONCLUSION: Higher self-efficacy was associated with improved glycemic control, medication adherence, self-care behavior and mental health related quality of life. PRACTICE IMPLICATIONS: Emphasis on self-efficacy is relevant for educational interventions developed for low-income, minority populations.

Older adults using social support to improve self-care (OASIS): Adaptation, implementation and feasibility of peer support for older adults with T2D in appalachia: A feasibility study protocol.

INTRODUCTION: The prevalence of type 2 diabetes (T2D) is 17% higher in rural dwellers compared to their urban counterparts, and it increases with age, with an estimated 25% of older adults (≥ 65 years) diagnosed. Appropriate self-care is necessary for optimal clinical outcomes. Overall, T2D self-care is consistently poor among the general population but is even worse in rural-dwellers and older adults. In rural Kentucky, up to 23% of adults in Appalachian communities have been diagnosed with T2D and, of those, 26.8% are older adults. To attain optimal clinical outcomes, social environmental factors, including social support, are vital when promoting T2D self-care. Specifically, peer support has shown to be efficacious in improving T2D self-care behaviors and clinical and psychosocial outcomes related to T2D; however, literature also suggests self-selected social support can be obstructive when engaging in healthful activities. Currently available evidence-based interventions (EBIs) using peer support have not been used to prioritize older adults, especially those living in rural communities. METHOD: To address this gap, we conducted formative research with stakeholders, and collaboratively identified an acceptable and feasible peer support EBI-peer health coaching (PHC)-that has resulted in improved clinical and psychosocial T2D-related outcomes among participants who did not reside in rural communities nor were ≥65 years. The goal of the proposed study is to use a 2x2 factorial design to test the adapted PHC components and determine their preliminary effectiveness to promote self-care behaviors and improve glycemic control among older adults living in Appalachian Kentucky. Testing the PHC components of the peer support intervention will be instrumental in promoting care for older adults in Appalachia, as it will allow for a larger scale intervention, which if effective, could be disseminated to community partners in Appalachia. TRIAL REGISTRATION: This study was registered at www.clinicaltrials.gov (NCT06003634) in August 2023.

Behavioral interventions to improve glycemic control in African Americans with type 2 diabetes: a systematic review.

OBJECTIVE: The use of behavioral interventions has been shown to improve glycemic control, however, the effectiveness of different behavioral interventions in one of the most high risk populations, African Americans, remains unclear. Our systematic review identified and examined findings of published behavioral interventions targeted at African Americans to improve glycemic control. The goal of our study was to distinguish which interventions were effective and identify areas for future research. DESIGN: Medline, PsychInfo, and CINAHL were searched for articles published from January 2000 through January 2012 using a reproducible strategy. Study eligibility criteria included interventions aimed at changing behavior in adult African Americans with type 2 diabetes and measured glycemic control. RESULTS: Ten studies met the inclusion criteria, of which five showed a statistically significant change in HbA1c in the intervention group when compared to the control group. Summary information and characteristics of the reviewed studies are provided. CONCLUSIONS: Characteristics of successful interventions included using problem solving with the patient, culturally tailoring the intervention, and using a nurse educator. Limitations include the limited number of intervention studies available using glycemic control as the outcome measure. Clinical trials are needed to determine how best to tailor interventions to this largely underserved population and studies should describe details of cultural tailoring to provide information for future programs.

Assessing the availability of trusted health information in a rural Appalachia community using social network analysis.

The purpose of this study was to investigate how trusted health information is transmitted within a rural Appalachian community. Egocentric social network methods were used to identify and characterize influential community members ("alters") that participants ("egos") go to for trusted health advice. Friends and "other health professionals" were named most frequently as health advice alters, and health advice was described as frequent and helpful. Participants could count on their health advice network for multiple forms of social support. Understanding trusted sources of health advice will allow us to identify community members to serve as change agents for rural T2DM interventions.

The relationship between psychosocial factors, self-care, and blood sugar in an Appalachian population.

Introduction: Appalachian residents are more likely than other populations to have Type 2 Diabetes Mellitus (T2DM) and to experience more severe complications from the disease, including excess and premature mortality. Methods: This study examines health alongside sociodemographic factors, psychosocial factors (including knowledge, empowerment, social support/function, religiosity, distress), and perceived problems in diabetes management that may influence self-care and HbA1c among vulnerable rural residents. A survey of a community-based sample of 356 adults with diagnosed diabetes or HbA1c > 6.5 was conducted in six counties in Appalachian Kentucky. Results: Findings suggest that neither religiosity nor social support/function mediate/moderate the relationship between psychosocial factors and dependent variables (problem areas in diabetes, T2DM self-care or HbA1c). Results also suggest that distress is a predictor of problem areas in diabetes, and both distress and empowerment are predictors of T2DM self-care. Implications: This study addresses the gap in the literature concerning the influence of psychosocial factors on problem areas in diabetes, T2DM self-care and HbA1c among vulnerable rural residents, as well as the potential mediating/modifying effects of religiosity and social function/support. Future research is needed to inform strategies for identifying and addressing distress among vulnerable populations burdened by T2DM, including Appalachian adults.

Evaluating the Association Between Depressive Symptoms and Glycemic Control Among Residents of Rural Appalachia.

Introduction: Type 2 diabetes mellitus (T2DM) is associated with a range of co-morbid physical and psychological conditions, including depression. Yet there is a dearth of evidence regarding the prevalence of depression among those in Appalachia living with T2DM; this gap persists despite the higher regional prevalence of T2DM and challenging social determinants of health. Purpose: This study aimed to provide greater detail about the relationships between T2DM and depressive symptoms in adults living in Appalachia Kentucky. Methods: The present study was a cross-sectional analysis of baseline data derived from an ongoing study of Appalachia Kentucky adults living with T2DM. Outcome data included demographics, Center for Epidemiologic Studies Depression Scale, point-of-care HbA1c, and the Summary of Diabetes Self-Care Activities. Bivariate analysis was conducted using Pearson's correlation to determine the statistically significant relationships between variables which were then included in a multiple regression model. Results: The sample (N=365), consisted primarily of women (n=230, 64.6%) of mean age 64 years (±10.6); almost all (98%) were non-Hispanic White (n=349), and most were married (n=208, 59.1%). The majority (47.2%) reported having two comorbid conditions (n=161), including T2DM, and the mean HbA1c was 7.7% (1.7). Nearly 90% were nonsmokers (n=319). Depressive symptoms were reported in 25% (n=90) of participants. A higher number of comorbid conditions, increased age, Medicaid insurance, tobacco use, lower financial status, female sex, and disability compared to fully employed status all were correlated with a higher rate of depressive symptoms (r ≤ 0.2). The regression indicated that depressive symptoms were associated with age (ß = -0.010, p = 0.001); full-time employment status compared to those who are disabled (ß = -.0209, p = 0.18); men compared to women (ß = -0.122, p = 0.042), and those who smoke compared to nonsmokers (ß = 0.175, p = 0.038). Implications: Depressive symptoms were correlated with T2DM among this sample of Appalachian residents with poorly controlled T2DM, especially among women. Given the vast number of social determinants (e.g., poverty, food insecurity, and rurality) affecting this population, healthcare providers must assess for depression and consider its negative influence on the patient's ability to achieve glycemic control.

Evaluating Social Support and T2D Risk Factors Among Members of Rural-Dwelling Grandparent-Headed Households.

Purpose: This study examines the associations of social support and type 2 diabetes (T2D) risk factors among members of rural-dwelling, grandparent-headed households (GHH). Methods: Prospective data were collected from rural-dwelling members of GHH with no known diagnosis of T2D. Data collected on family characteristics, T2D clinical risk factors, and social support were assessed. Results: Sixty-six grandparents and 72 grandchildren participated in the study. The average age and HbA1Cs were 59.4 years and 6.2% ± 1.4 for grandparents and 11.8 years and 4.9% ± 0.6 for grandchildren. Most grandparents were found to have prediabetes or undiagnosed diabetes. The number of people living in GHHs was associated with grandparents' triglycerides, HDL, and BMI. Average social support scores among grandparents suggested moderately high perceived social support (79 ± 3.4). For grandchildren, social support from grandparents was associated with diastolic blood pressure and HbA1C, whereas support from teachers, classmates, and close friends was associated with HbA1C and BMI in grandchildren. Implications: This study shows that grandparent caregivers are at an increased risk for T2D. Perceived social support between grandparents and grandchildren influences T2D risk factors. However, social support provided by peers, teachers, and close friends is also associated with T2D risk factors in grandchildren. These findings support the use of family-based diabetes prevention programming, peer support, and school settings as mechanisms for interventions to reduce T2D in adolescents, particularly those within GHHs.

SARS-CoV-2 (COVID-19) Vaccine Intentions in Kentucky.

Background: At the time of our writing, the COVID-19 pandemic continues to cause significant disruption to daily lives. In Kentucky, the burdens from this disease are higher, and vaccination rates for COVID-19 are lower, in comparison to the U.S. as a whole. Understanding vaccine intentions across key subpopulations is critical to increasing vaccination rates. Purpose: This study explores COVID-19 vaccine intentions in Kentucky across demographic subpopulations and also investigates the influences on vaccine intention of attitudes and beliefs about COVID-19. Methods: A population-based survey of 1,459 Kentucky adults was conducted between January 26 and March 20, 2021, with over-sampling of black/African American and Latino/a residents, using online and telephonic modalities. Descriptive statistics characterize the sample and overall vaccine intentions and beliefs. Multivariable linear regression models probed relationships between demographics and vaccination intentions, as well as relationships between vaccination beliefs and vaccination intention. Results: Of the 1,299 unvaccinated respondents, 53% reported intent to get vaccinated, 16% had not decided, and 31% felt they would not get vaccinated. Lower vaccination intention was independently associated with age, lower educational attainment, black/African American race, lower income, Republican political affiliation, rural residence, and several beliefs: low vaccine safety, low vaccine efficacy, the rapidity of vaccine development, and mistrust of vaccine producers. Implications: Increasing COVID-19 vaccination rates will help end this pandemic. Findings from this study can be used to tailor information campaigns aimed at helping individuals make informed decisions about COVID-19 vaccination.

Profile of informal rural Appalachian caregivers of patients with chronic illnesses.

PURPOSE: Caring for a family member with chronic illness increases cardiovascular disease (CVD) risk by 82%, and rurality imparts additional CVD disparities. The purpose of this study was to describe a profile of rural caregivers of patients with chronic illnesses to determine the prevalence of CVD risk factors, and psychosocial and socioeconomic burden, as well as to compare these variables across gender. METHODS: Baseline data from a trial of CVD risk reduction in rural caregivers of patients with chronic illnesses were used. We measured depression and anxiety with the PHQ-9 and Brief Symptom Inventory; social, economic, and environmental factors using the MOS-Social Support and Economic and Environmental surveys; body mass index (BMI); blood pressure (BP); and lipid profile. RESULTS: Of 181 caregivers (age 53±14 years, 80% female), 69% were married; 88% were caring for a family member, including 46% caring for a spouse and 18% for a parent. A total of 51% were anxious, 25% depressed, and 25% reported lack of social support. Most (51%) caregivers had one or more types of CVD; and 49% were smokers. By examination, 76% had elevated BP; 35% had total cholesterol >200; 50% low-density lipoprotein >100; 56% triglycerides >150; and 79% high-density lipoprotein <60. Based on BMI, 91.5% were overweight or obese. Gender comparisons revealed that women reported higher levels of depressive symptoms than men. CONCLUSIONS: Rural caregivers, regardless of gender, are at increased risk of CVD and struggle with factors that make caregiving burdensome and contribute to their own poor cardiac health.