Journal of Appalachian health最新文献

Introduction: Many uninsured adults rely on free health clinics for prevention and treatment of chronic disease. Little is known about the nutrition education needs of adults served by free health clinics, especially those living in counties within the Western North Carolina Appalachian Mountain Region.

Methods: An in-person survey was distributed to 202 clients of two free health clinics in western North Carolina. Descriptive analyses were conducted to determine frequency distributions for food and physical activity practices, acceptable topics and strategies for nutrition education, and the acceptance and barriers for various modalities.

Results: Depending on the clinic, 49-58% of participants were female with an average age of 45, and Caucasian (48-66%). Around half reported barriers to cooking. The majority frequently ate takeout and engaged in exercise. Participants were most interested in receiving local produce and recipes and were most likely to use a smartphone for nutrition information. Participants preferred actionable interventions but needed help overcoming barriers to food access and cooking.

Implications: Future interventions within clinics should focus on assessing patient needs and tailoring services. As transportation was the most commonly cited barrier, clinics could leverage online modalities to enhance clinic education in this population since a majority of clients had access to the internet via smartphone and over half cited interest in online nutrition education.

Introduction: Rural Appalachian residents experience higher rates of most chronic diseases, including type 2 diabetes mellitus (T2DM). Stress and sleep deficiency also are common in the region.

Purpose: To better understand these associated health burdens, the relationship among these conditions and psychosocial factors-such as depressive symptoms, distress, empowerment, and social support-was examined among Appalachian residents with T2DM.

Methods: Using data collected from a community-based sample of Appalachian adults with T2DM, the study examined whether psychosocial factors were associated with perceived stress (Cohen Perceived Stress Scale) and self-reported sleep deficiency (Epworth Sleepiness Scale). Multilevel linear mixed effects regression modeling was used to test these associations.

Results: Depressive symptoms, distress, and social support were significantly associated with perceived stress, while diabetes empowerment was not associated with perceived stress. None of these psychosocial factors were found to be associated with sleep.

Implications: To our knowledge, this is the first known study to examine the relationship among psychosocial factors and perceived stress and sleep in rural Appalachian people with T2DM. With a high prevalence of mental distress in Appalachia, the findings highlight the need to further examine depression, diabetes management, and social support in people with T2DM in rural regions like Appalachia.

We at the Journal of Appalachian Health would like to thank the multitude of reviewers who have volunteered their time, talents, and attention to the journal. Reviewers help us consider the rigor and quality of the submissions we receive, and their willingness to read material ahead of publication ensures we can bring timely research to our readers in Appalachia and further afield.

Introduction: Delays (10-22 months) in availability of official state and county-level mortality data could have significant public health consequences. The COVID-19 pandemic illuminated the need for health officials to access timely death data to identify unexpected increases in mortality in their communities.

Purpose: The purpose of this study is to determine if funeral home listings and/or newspaper obituaries could help identify excess mortality on the local level, prior to the availability of official death records.

Methods: To calculate excess mortality, four years (2017-2020) of data were collected from three sources: the state health department, online funeral home listings, and newspaper obituaries, all from Washington County, Tennessee. Simple linear regression was used to predict number of expected deaths by month for 2020 using 2017, 2018, and 2019 reported deaths, by data source. The percent difference of actual 2020 deaths from the expected deaths was then calculated by month and compared for each data source.

Results: Official COVID-19 state-reported death data accounted for only 50% of excess mortality estimated in 2020. Nearly 100 excess deaths occurred before the first reported death due to COVID-19. Trends in the percent difference between actual and expected funeral home listings and newspaper obituaries followed similar patterns as percent differences in actual v. expected state-reported mortality data.

Implications: Had funeral home listings and newspaper obituaries been used to identify excess mortality, health officials would have seen increases in mortality nearly five months prior to the first identified COVID-19 death. These publicly available tools could prove valuable to local health officials as an "early warning" sign of excess mortality.

On September 27, 2024, Hurricane Helene caused massive and catastrophic flash flooding in the lower Appalachian Region, leveling towns and forever altering much of the landscape. This is an open letter to the people of Appalachia who were affected by the disaster that blindsided our region.

The current study examined the impact of the COVID-19 pandemic on IPV and child maltreatment services in rural northwestern North Carolina. Qualitative interviews were conducted with eight professionals representing six service organizations across four counties. The findings highlighted challenges these agencies faced throughout the pandemic, new risks for the clients served, and positive outcomes. In addition, it has been a useful learning experience as public health and social service agencies learn to serve their communities more effectively moving forward. This is especially relevant for rural communities, as it has put public health preparedness at the forefront.

Introduction: Appalachian populations have some of the highest rates of overdose and comorbidity, all of which are considered risk factors for and contributors to chronic pain.

Purpose: The purpose of this study was to examine the associations of comorbidity, disability (physical limitations), and depression with chronic pain among a community-based sample of Appalachian adults living with diabetes.

Methods: This study used baseline data to conduct a secondary analysis of cross-sectional data (n=356). Data included sociodemographic, disability (physical limitations), chronic pain, and depression measures. These data were collected and analyzed from 2017-2019. Multiple logistic regression was used to investigate the association between comorbidity, disability, depression, and chronic pain.

Results: Participants were predominantly non Hispanic white (98.0%), women (64.6%), and had a mean age of 64.2 years. Comorbidity (p=.044), physical limitations (pp.

Implications: Chronic pain affects physical and psychosocial health among those diagnosed with diabetes who live in rural Appalachian communities. Alleviating chronic pain could have a synergistic benefit to healthy functioning.

Introduction: Several studies have documented that higher rates of primary care physicians are associated with lower rates of preventable hospitalizations. Counties with higher rates of preventable hospitalizations are found in the Appalachian and Mississippi (MS) Delta Regions.

Purpose: (1) To determine if the association of primary care capacity with preventable hospitalizations is different in the Appalachian and MS Delta regions compared to the rest of the U.S., and (2) to explore primary care capacity in counties with lower-than-expected preventable hospitalization rates.

Methods: This study modeled preventable hospitalizations with primary care physicians (PCP) per 100,000 (PCP capacity) while controlling for several factors. A spatial regime variable was also included, which modeled Appalachian and MS Delta regions separately. Next, PCP capacity was removed from the model and a geospatial residual analysis was performed to identify geographic clusters of counties with lower-than-expected rates of preventable hospitalizations (bright spots). PCP capacity in bright spots was then compared to that in counties with higher-than-expected rates (cold spots).

Results: Higher PCP capacity was significantly associated with lower rates of preventable hospitalizations in the rest of U.S. model, though was not significant for the Appalachian or MS Delta models. The residual analysis showed that compared to counties with higher-than-expected rates (cold spots), counties with lower-than-expected rates (bright spots) had significantly higher PCP capacity, though not in the MS Delta region.

Implications: Consistent with previous literature, it was found that the factors associated with preventable hospitalizations vary by region, though the results are mixed when looking at the Appalachian and MS Delta regions separately. Future research should explore characteristics of bright spots within the Appalachian and MS Delta regions.

Introduction: Major disasters continue to occur in Appalachian Kentucky with devastating consequences. A major disaster, defined by the Federal Emergency Management Agency (FEMA) as an event too large for a community to manage without outside help, involves emergency responders from the local, state, and federal disaster agencies, plus national volunteers.

Purpose: This paper reports on recent disasters in eight southeast Kentucky counties, the changing nature of these disasters, and the behavioral health impact on the people affected.

Methods: In this large-scale disaster survey in the Appalachian counties in Southeast Kentucky, over 3,500 people were asked about their recent disaster experiences in 2021 and 2022. The Disaster, Impact, and Screening Survey (DISS) was used to explore the respondent's disaster history as a behavioral health client, general community member, or behavioral health professional, and how these views differed.

Results: Respondents reported a higher rate of disaster experiences and requests for assistance than U.S. population surveys. Behavioral health clients and general community members disaster were not significantly coordinated but comparisons between behavioral health professionals clients were. Types of disasters and their impacts showed COVID pandemic caused the most widespread stressors such as school closings and missed work. Disasters such flooding caused the respondents property damage and homelessness Combining how widespread types of stressors and disaster severity ratings showed property damage, school closing, and home damage as the stressors with the greatest behavioral health impacts.

Implications: Academic researchers and policymakers have expressed a desire to better integrate behavioral health services into the national emergency response system. To translate research into practice, health professionals need to better understand the disasters that have occurred in their service area, the types of impacts of those disasters, and how people have reacted. Local health providers should be involved in disaster preparedness, response, and long-term recovery as part of community resilience teams.

Introduction: Kentucky has one of the highest opioid overdose fatality rates in the United States, which has increased significantly from 2019 to 2020. The COVID-19 pandemic has caused lasting effects on mental health and health care, which have been linked with increased opioid overdose. These effects are exacerbated in Appalachian regions, where there is a lack of sufficient access to community pharmacies and adequate health care.

Purpose: In this study, we characterize changes in opioid overdose fatality rates in Kentucky from 2019 to 2021, with a specific focus on changes in Appalachian vs non-Appalachian counties. We aim to identify associations between community-level factors and opioid overdose fatality rates and how such associations may have changed from 2019 to 2021.

Methods: County-level data were used to fit a marginal GEE-type negative binomial model to determine factors associated with opioid overdose fatality rates in 2019 (before the COVID-19 pandemic) and 2021 (during the COVID-19 pandemic).

Results: Opioid overdose fatality rates increased from 2019 to 2021 (Rate Ratio: 1.82). This increase was much larger in adjacent-to-metropolitan (RR: 2.54) and Appalachian (RR: 2.38) counties. Age was associated with opioid overdose fatality rates in both 2019 and 2021, and the observed association for age was stronger in 2021. Appalachian status was associated with opioid overdose fatality rates in 2021. Metropolitan county status was associated with opioid overdose fatality rates in 2019, whereas adjacent-to-metropolitan county status was associated with opioid overdose fatality rates in 2021.

Implications: Adjacent-to-metropolitan status's association with overdose fatalities in 2021 may indicate a differential effect of COVID-19 on suburban communities. Future studies should investigate additional factors related to COVID-19 as well the lasting effects of the pandemic on the landscape of opioid overdose in Kentucky.