Social Determinants of Health and 30-Day Readmissions Among Adults Hospitalized for Heart Failure in the REGARDS Study

Background: It is not known which social determinants of health (SDOH) impact 30-day readmission after a heart failure (HF) hospitalization among older adults. We examined the association of 9 individual SDOH with 30-day readmission after an HF hospitalization. Methods and Results: Using the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), we included Medicare beneficiaries who were discharged alive after an HF hospitalization between 2003 and 2014. We assessed 9 SDOH based on the Healthy People 2030 Framework: race, education, income, social isolation, social network, residential poverty, Health Professional Shortage Area, rural residence, and state public health infrastructure. The primary outcome was 30-day all-cause readmission. For each SDOH, we calculated incidence per 1000 person-years and multivariable-adjusted hazard ratios of readmission. Among 690 participants, the median age was 76 years at hospitalization (interquartile range, 71–82), 44.3% were women, 35.5% were Black, 23.5% had low educational attainment, 63.0% had low income, 21.0% had zip code–level poverty, 43.5% resided in Health Professional Shortage Areas, 39.3% lived in states with poor public health infrastructure, 13.1% were socially isolated, 13.3% had poor social networks, and 10.2% lived in rural areas. The 30-day readmission rate was 22.4%. In an unadjusted analysis, only Health Professional Shortage Area was significantly associated with 30-day readmission; in a fully adjusted analysis, none of the 9 SDOH were individually associated with 30-day readmission. Conclusions: In this modestly sized national cohort, although prevalent, none of the SDOH were associated with 30-day readmission after an HF hospitalization. Policies or interventions that only target individual SDOH to reduce readmissions after HF hospitalizations may not be sufficient to prevent readmission among older adults.

Weather-Related Disaster in a Diverse Cohort of Aging Adults

As climate change contributes to increasing frequency and intensity of weather-related disasters, it is critical to define characteristics that increase risk of poor health outcomes during and after events. Given the aging of the United States (US) population and over-representation of older adults in disaster-prone areas, disaster-related impacts on older adults present a growing public health challenge. We linked data from the REGARDS study, a cohort of 30,107 Black and White adults (mean age 65 years at baseline, 2003-2007), with community data from the National Establishment Time Series database and longitudinal weather-related disaster data from the Spatial Hazard Events and Losses Database for the US. We calculated disaster exposure for each year for the county in which the respondents lived from 2003 – 2015: 84% of county-years showed at least some impacts, including 16% of counties experiencing medium impacts ($10- $50 property damage per capita or 2 fatalities) and 12% severe (greater than $50 per capital or 3 fatalities); this mirrors that of the continental US (77% some impact, 15% medium, 13% severe). REGARDS participants exposed to moderate or severe disasters were more likely to be Black and low socioeconomic status compared to those who were not exposed. For community characteristics, higher disaster exposure was associated with a greater density of resources including ambulatory care, food stores, social services, and destinations for daily living. Our approach showcases how disaster preparedness systems need better data about specific individual-and community-level factors that increase risk among older adults to better serve communities.

Sleep Quality in Family Caregivers and Matched Non-Caregiving Controls: The REGARDS Study

The high levels of stress experienced by family caregivers may affect their physical and psychological health, including their sleep quality. However, there are few population-based studies comparing sleep between family caregivers and carefully-matched controls. We evaluated differences in sleep and identified predictors of poorer sleep among the caregivers, in a comparison of 251 incident caregivers and carefully matched non-caregiving controls, recruited from the national REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Incident caregivers and controls were matched on up to seven demographic and health factors (age, sex, race, education level, marital status, self-rated health, and self-reported serious cardiovascular disease history). Sleep characteristics were self-reported and included total sleep time, sleep onset latency, wake after sleep onset, time in bed, and sleep efficiency. Family caregivers reported significantly longer sleep onset latency, before and after adjusting for potential confounders, compared to non-caregiving controls (ps < 0.05). Depressive symptoms in caregivers predicted longer sleep onset latency, greater wake after sleep onset, and lower sleep efficiency. Longer total sleep time in caregivers was predicted by employment status, living with the care recipient, and number of caregiver hours. Employed caregivers and caregivers who did not live with the care recipient had shorter total sleep time and spent less time in bed than non-employed caregivers. Additional research is needed to evaluate whether sleep disturbances contributes to health problems among caregivers.

Telomere Length and the Transition to Family Caregiving in the REGARDS Study

An increase in life expectancy and an aging population has resulted in increased risks and prevalence of age-related diseases. Previous studies have shown that factors, such as chronic stress, are associated with shorter telomere length. When telomeres become critically short, cells enter a state of senescence, which is a hallmark of aging. Several prior studies examining the relationship between caregiving and telomere length have reported mixed results. The present study utilized data from the Caregiving Transitions Study, an ancillary study to the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. The difference in telomere length across an average ~8.6 years was compared between 235 incident caregivers and 229 controls. Telomere length was determined using the qPCR telomere-to-single copy gene (IFNB1) ratio (T/S) for each participant at both baseline and follow-up timepoints. Regression models controlling for age, sex, race, and baseline telomere length examined the association between caregiving status (exposure) and the telomere length change (□T/S). Sensitivity models adjusted for potential lifestyle and socioeconomic factors, including income, education, BMI, cigarette smoking, and alcohol use. We did not observe a significant association between □T/S and caregiving (beta=0.041, p=0.615). Adding lifestyle and socioeconomic factors did not change the null relationship (beta=0.062, p=0.455). In conclusion, this study provides evidence against an association between caregiving and the change in telomere length. Ultimately, more research to address the complex relationship between caregiving and telomere attrition is needed in order to prevent or reduce adverse outcomes and improve the well-being of caregivers and care recipients.

Health care experiences during the COVID-19 pandemic by race and social determinants of health among adults age ≥ 58 years in the REGARDS study

Background Understanding health care experiences during the COVID-19 pandemic may provide insights into patient needs and inform policy. The objective of this study was to describe health care experiences by race and social determinants of health. Methods We conducted a telephone survey (July 6, 2020-September 4, 2021) among 9492 Black and White participants in the longitudinal REasons for Geographic And Racial Differences in Stroke cohort study, age 58–105 years, from the continental United States. Among participants with symptoms of COVID-19, outcomes were: 1. Sought care or advice for the illness; 2. Received a SARS-CoV-2 test for the illness; and 3. Tested positive. Among participants without symptoms of COVID-19, outcomes were: 1. Wanted a test; 2. Wanted and received a test; 3. Did not want but received a test; and 4. Tested positive. We examined these outcomes overall and in subgroups defined by race, household income, marital status, education, area-level poverty, rural residence, Medicaid expansion, public health infrastructure ranking, and residential segregation. Results The average age of participants was 76.8 years, 36% were Black, and 57% were female. Among participants with COVID-19 symptoms (n = 697), 74% sought care or advice for the illness, 50% received a SARS-CoV-2 test, and 25% had a positive test (50% of those tested). Among participants without potential COVID-19 symptoms (n = 8795), 29% wanted a SARS-CoV-2 test, 22% wanted and received a test, 8% did not want but received a test, and 1% tested positive; a greater percentage of participants who were Black compared to White wanted (38% vs 23%, p < 0.001) and received tests (30% vs 18%, p < 0.001) and tested positive (1.4% vs 0.8%, p = 0.005). Conclusions In this national study of older US adults, many participants with potential COVID-19 symptoms and asymptomatic participants who desired testing did not receive COVID-19 testing.

A qualitative analysis of family caregiver perspectives from the Caregiving Transitions Study

As people live longer, informal caregiving for family and friends is becoming increasingly common. Caregiver satisfaction with their role is now of greater importance to an increasing proportion of the U.S. population. Most research on caregivers has studied convenience samples, often restricted to caregivers of people with dementia. Various studies have examined the impact of caregiving on caregivers’ health but to our knowledge there are no qualitative studies of caregiving experiences from caregivers in population-based samples. This study investigated the impact of caregiving on participants who transitioned into a caregiving role while participating in a national population-based study. Participants were from the Caregiving Transitions Study, which is ancillary to the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. We thematically analyzed responses from 150 caregivers providing care for multiple different conditions to an open-ended question asked at the time of enrollment and designed to encourage caregivers to share additional details about their caregiving experience. Four major themes were identified: cultural/family expectations; growth opportunities and reciprocity; stressors and challenges; and recommendations. Participants shared both positive and challenging experiences in their role as a family caregiver as well as the impact that these experiences had on their lives. Caregivers shared that one of the most important motivations for taking on this role was their sense of duty toward family. Caregivers also highlighted the positive impact of caregiving on their lives such as opportunities for personal growth, acquisition of new skills, and finding a sense of fulfillment and gratitude.

Multiple Social Vulnerabilities to Health Disparities and Hypertension and Death in the REGARDS Study

Social vulnerabilities increase the risk of developing hypertension and lower life expectancy, but the effect of an individual’s overall vulnerability burden is unknown. Our objective was to determine the association of social vulnerability count and the risk of developing hypertension or dying over 10 years and whether these associations vary by race. We used the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) and included participants without baseline hypertension. The primary exposure was the count of social vulnerabilities defined across economic, education, health and health care, neighborhood and built environment, and social and community context domains. Among 5425 participants of mean age 64±10 SD years of which 24% were Black participants, 1468 (31%) had 1 vulnerability and 717 (15%) had ≥2 vulnerabilities. Compared with participants without vulnerabilities, the adjusted relative risk ratio for developing hypertension was 1.16 (95% CI, 0.99–1.36) and 1.49 (95% CI, 1.20–1.85) for individuals with 1 and ≥2 vulnerabilities, respectively. The adjusted relative risk ratio for death was 1.55 (95% CI, 1.24–1.93) and 2.30 (95% CI, 1.75–3.04) for individuals with 1 and ≥2 vulnerabilities, respectively. A greater proportion of Black participants developed hypertension and died than did White participants (hypertension, 38% versus 31%; death, 25% versus 20%). The vulnerability count association was strongest in White participants ( P value for vulnerability count×race interaction: hypertension=0.046, death=0.015). Overall, a greater number of socially determined vulnerabilities was associated with progressively higher risk of developing hypertension, and an even higher risk of dying over 10 years.

Association Between HDL Cholesterol and Incident Cognitive Impairment in Black and White Adults in The Reasons For Geographic and Racial Differences in Stroke Study

BACKGROUND: Low levels of high-density lipoprotein cholesterol (HDL-C) have been associated with incident cognitive impairment (ICI) in some, but not all studies. METHODS: We examine the association between HDL-C and ICI among 18,378 Reasons for Geographic and Racial Differences in Stroke (REGARDS) study participants without cognitive impairment or stroke at baseline in 2003 to 2007, and who did not have a stroke event during follow-up. RESULTS: Over a median follow-up of 9.6 years, 1,359 participants developed ICI. In fully adjusted models, the RR for ICI was 1.51 (95% CI 1.06, 2.15) in White women and 1.25 (95% CI 0.95, 1.65) in Black women. The association was not statistically significant afrter adjustment for triglycerides. There was no evidence of an association between HDL-C and ICI among White or Black men. CONCLUSIONS: Low HDL-C was associated with a higher risk of ICI in White and Black women in models not including triglycerides.