Older adults in rural areas of the U.S. face unique risks related to COVID-19. Rural areas are older, on average, than urban areas, and have more underlying health conditions and fewer economic resources. Rural health care is more limited, as is access to technology and online connectivity. Altogether, this puts rural older adults at risk of not only the virus, but of not being able to meet their health care, social, and basic needs. Rural/urban inequities, combined with within-rural inequities in health, health care, and financial resources cause particular challenges to health and well-being from COVID-19 for some older adults.

Background: The internet has emerged as a main venue of health information delivery and health-related activities. However, few studies have examined how health literacy determines online health-related behavior. Objective: The aim of this study was to investigate the current level of health-related information-seeking using the internet and how health literacy, access to technology, and sociodemographic characteristics impact health-related information-seeking behavior. Methods: We conducted a cross-sectional study through a survey with Minnesotan adults (N=614) to examine their health literacy, access to technology, and health-related information-seeking internet use. We used multivariate regression analysis to assess the relationship between health-related information-seeking on the internet and health literacy and access to technology, controlling for sociodemographic characteristics. Results: Better health literacy (β=.35, SE 0.12) and greater access to technological devices (eg, mobile phone and computer or tablet PC; β=.06, SE 0.19) were both associated with more health-related information-seeking behavior on the internet after adjusting for all other sociodemographic characteristics. Possession of a graduate degree (β=.28, SE 0.07), female gender (β=.15, SE 0.05), poor health (β=.22, SE 0.06), participation in social groups (β=.13, SE 0.05), and having an annual health exam (β=.35, SE 0.12) were all associated with online health-related information-seeking. Conclusions: Our findings indicate that access to online health-related information is not uniformly distributed throughout the population, which may exacerbate disparities in health and health care. Research, policy, and practice attention are needed to address the disparities in access to health information as well as to ensure the quality of the information and improve health literacy.

This study asks (a) What are the relationships between types of living arrangements and psychological well-being for older adults? and (b) How do these relationships differ by gender? Data come from the 2010 wave of the National Health Interview Survey and include non-institutionalized adults aged 65 and older (N = 4,862). Dependent variables include self-rated quality of life and psychological distress. The study finds that older adults living alone or with others fare worse than those living with a spouse only. Yet, the outcomes of different types of living arrangements for older adults vary by gender. Women living with others are at greater risk of worse quality of life and serious psychological distress than men. Programs and policies must be responsive to the diverse needs of this population, rather than attempting a “one-size-fits-all” approach to housing and community-based services designed to promote older adults’ psychological well-being and independence.

In this study, we seek to illuminate: (1) the ways farm service providers and mental health professionals understand the drivers of farm stress, (2) the strategies, challenges, and opportunities farm service providers and mental health professionals identify for supporting the mental health needs of farm families, and; (3) opportunities for future research and outreach to improve the mental health of farmers in the U.S. Midwest region. We obtained qualitative data from a series of semi-structured key informant interviews with 19 subject matter experts, using content analysis to identify themes across four domains: main challenges, unique impacts by subpopulation, coping strategies, and interventions and recommendations. The key informants we interviewed identified a variety of acute and chronic stressors, including several that are structural, rather than individual and interpersonal, and which lie outside of the control of farmers themselves. They also highlighted diversity within farm populations by socio-demographic and farm characteristics as well as positive and negative coping strategies, with negative being more common. For interventions and recommendations, they stressed the importance of education on mental health, improving access to care, and addressing root causes of stress. While farmer stress is well-documented, less is known about the perspectives of farm service professionals and mental health providers who care for them. The insights from this study add important information on how to best support the immediate and long-term mental health needs of farmers and farm families in the U.S. Midwest and beyond.

Household social and environmental context are key elements of the disablement process, yet few studies explicitly examine the relationship between household composition, housing type, and disability progression. This study investigates the risk of older adults’ disability progression by type of living arrangement (e.g., household composition, housing type) and whether the relationship varies by socioeconomic status. We used Health and Retirement Study data (waves 1998–2012; n = 41,467 total observations) and fit time-series logistic regression models to estimate increases in activities of daily living (ADLs) and instrumental activities of daily living (IADLs) limitations. Because living arrangements are influenced by financial resources, we also stratified analyses by wealth. Disability rates were highest among those living alone or with nonfamily others and in self-described fair/poor quality housing. Overall, disability risk was more strongly associated with wealth than living arrangements. For more affluent older adults, living alone was associated with a decreased risk of IADL disability; for the least affluent older adults, living alone had the opposite association—increased risk of both ADL and IADL disability. Later-life disability progression should be understood in the context of both household environment and wealth. Household composition and housing characteristics were associated with disability progression and the risk of increasing disability was consistently higher for those in the lowest wealth quintile. These findings identify where older adults with disabilities live and that comprehensive interventions to reduce disability progression should consider household social and environmental context, as well as wealth.