Heart failure (HF) patients with inadequate health literacy are at increased risk for poor self care and negative health outcomes such as hospital readmission. The purpose of this study was to examine prevalence of inadequate health literacy; reliability of the Dutch HF Knowledge Scale (DHFKS) and Self Care of Heart Failure Index (SCHFI); and differences in HF knowledge, HF self care, and 30-day readmission rate by health literacy level among patients hospitalized with HF. The convenience sample included adults (N=95) admitted to a large urban teaching hospital with primary diagnosis of HF. Measures included the Short Test of Functional Health Literacy in Adults, DHFKS, SCHFI, and readmission at 30 days post-discharge. The sample was 59 ± 14 years in age, 51% male, 67% African American; 35% had less than high school education, 35% were employed, 73% lived with someone who helps with their HF care, and 16% were readmitted within 30 days of index admission. Health literacy was inadequate for 42%, marginal for 19%, and adequate for 39%. Reliability of the DHFKS and SCHFI scales was comparable to prior reports. Mean knowledge score was 11.43 ± 2.26, SCHFI subscale scores were 56.82 ± 17.12 for maintenance, 63.64 ± 18.29 for management, and 65.02 ± 16.34 for confidence. Those with adequate health literacy were younger and had higher education level, HF knowledge scores, and HF self care confidence compared to those with marginal or inadequate health literacy. Self care maintenance and management scores and 30-day readmission rate did not differ by health literacy level. These findings demonstrate the high prevalence of inadequate and marginal health literacy and that health literacy is an important consideration in promoting HF knowledge and confidence in self care behaviors, particularly among older adults and those with less than high school education.

Objective To perform a systematic review and meta-analysis that quantitatively tests and summarizes the hypothesis that depression results in elevated oxidative stress and lower antioxidant levels. Methods We performed a meta-analysis of studies that reported an association between depression and oxidative stress and/or antioxidant status markers. PubMed and EMBASE databases were searched for articles published from January 1980 through December 2012. A random-effects model, weighted by inverse variance, was performed to pool standard deviation (Cohen’s d) effect size estimates across studies for oxidative stress and antioxidant status measures, separately. Results Twenty-three studies with 4980 participants were included in the meta-analysis. Depression was most commonly measured using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria. A Cohen’s d effect size of 0.55 (95% confidence interval = 0.47–0.63) was found for the association between depression and oxidative stress, indicating a roughly 0.55 of 1-standard-deviation increase in oxidative stress among individuals with depression compared with those without depression. The results of the studies displayed significant heterogeneity (I2 = 80.0%, p < .001). A statistically significant effect was also observed for the association between depression and antioxidant status markers (Cohen’s d = −0.24, 95% confidence interval = −0.33 to −0.15). Conclusions This meta-analysis observed an association between depression and oxidative stress and antioxidant status across many different studies. Differences in measures of depression and markers of oxidative stress and antioxidant status markers could account for the observed heterogeneity. These findings suggest that well-established associations between depression and poor heath outcomes may be mediated by high oxidative stress.

Hypertension and overweight/obesity are highly prevalent conditions in West Africa and in its migrants residing in industrialized countries. Urgent measures are needed to prevent CVD risk factors and halt the clinical sequelae.

This study sought to examine whether Supplemental Nutrition Assistance Program (SNAP) participation and benefit levels are associated with reduced subsequent hospital and emergency department utilization in low-income older adults. Study participants were 68,956 Maryland residents aged ≥65 years who were dually enrolled in Medicare and Medicaid (2009–2012). Annual inpatient hospital days and costs and emergency department visits were modeled as a function of either 1-year lagged SNAP participation or lagged SNAP benefit amounts, controlling for sociodemographic characteristics, autoregressive effects, year, health status, and Medicaid participation. SNAP participation (adjusted odds ratio [aOR] = 0.96, 95% confidence interval [CI]: 0.93, 0.99), and, among participants, each $10 increase in monthly benefits (aOR = 0.99, 95% CI: 0.99–0.99) are associated with a reduced likelihood of hospitalization, but not emergency department use. The authors estimate that enrolling the 47% of the 2012 population who were eligible nonparticipants in SNAP could have been associated with $19 million in hospital cost savings. Accounting for the strong effects of health care access, this study finds that SNAP is associated with reduced hospitalization in dually eligible older adults. Policies to increase SNAP participation and benefit amounts in eligible older adults may reduce hospitalizations and health care costs for older dual eligible adults living in the community.

Background Communities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated economic, housing, transit, population health and health care characteristics. Methods Six-month cumulative coronavirus incidence and mortality were examined using adjusted negative binomial models among all U.S. counties (n = 3142). County-level independent variables included percentages in poverty and within racial/ethnic groups (Black, Hispanic, Native American, Asian), and rates of unemployment, lacking a high school diploma, housing cost burden, single parent households, limited English proficiency, diabetes, obesity, smoking, uninsured, preventable hospitalizations, primary care physicians, hospitals, ICU beds and households that were crowded, in multi-unit buildings or without a vehicle. Results Counties with higher percentages of Black (IRR = 1.03, 95% CI: 1.02–1.03) or Hispanic (IRR = 1.02, 95% CI: 1.01–1.03) residents had more coronavirus cases. Counties with higher percentages of Black (IRR = 1.02, 95% CI: 1.02–1.03) or Native American (IRR = 1.02, 95% CI: 1.01–1.04) residents had more deaths. Higher rates of lacking a high school diploma was associated with higher counts of cases (IRR = 1.03, 95% CI: 1.01–1.05) and deaths (IRR = 1.04, 95% CI: 1.01–1.07). Higher percentages of multi-unit households were associated with higher (IRR = 1.02, 95% CI: 1.01–1.04) and unemployment with lower (IRR = 0.96, 95% CI: 0.94–0.98) incidence. Higher percentages of individuals with limited English proficiency (IRR = 1.09, 95% CI: 1.04–1.14) and households without a vehicle (IRR = 1.04, 95% CI: 1.01–1.07) were associated with more deaths. Conclusions These results document differential pandemic impact in counties with more residents who are Black, Hispanic or Native American, highlighting the roles of residential racial segregation and other forms of discrimination. Factors including economic opportunities, occupational risk, public transit and housing conditions should be addressed in pandemic-related public health strategies to mitigate disparities across counties for the current pandemic and future population health events.

Objective Although engagement in social networks is important to health, multiple different dimensions exist. This study identifies which dimensions are associated with chronic disease risk behaviors. Method Cross-sectional data on social support, loneliness, and neighborhood social cohesion from 5381 participants, aged 45–84 from the Multi-Ethnic Study of Atherosclerosis was used. Results After adjusting for individual characteristics and all social engagement variables, social support was associated with lower smoking prevalence (PR=0.88, 95% CI: 0.82, 0.94), higher probability of having quit (PR=1.03, 95% CI: 1.01, 1.06) and a slightly higher probability of achieving physical activity recommendations (PR=1.03, 95% CI: 1.01, 1.06). Neighborhood social cohesion was associated with very slightly higher probability of achieving recommended (PR=1.03, 95% CI: 1.01, 1.05) or any regular (PR=1.0, 95% CI: 1.01, 1.04) physical activity, and a higher probability of consuming at least five daily fruit and vegetable servings (PR=1.05, 95% CI: 1.01, 1.09). Conclusion Both social support and neighborhood social cohesion, a less commonly considered aspect of social engagement, appear to be important for chronic disease prevention interventions and likely act via separate pathways.

Background Although cardiovascular health has been improving for many Americans, this is not true of those in “vulnerable populations.” To address this growing disparity communities and researchers have worked for decades, and as a result of their work a growing body of literature supports the use of community engagement as a component of successful interventions. However, little literature synthesizes community-based interventions that address this disparity among a wide range of vulnerable populations. Objective This paper provides a critical review of community-based cardiovascular disease (CVD) interventions to improve cardiovascular health behaviors and factors among vulnerable populations based on the American Heart Association’s 7 metrics of ideal cardiovascular health. Methods In February 2011, four databases (PubMed, PsychInfo, CINAHL, and Scopus) were searched using the following keywords: vulnerable populations OR healthcare disparities AND cardiovascular disease AND clinical trials OR public health practice AND English. Results This search strategy resulted in the retrieval of 7,120 abstracts. Each abstract was reviewed by at least two authors and eligibility for the systematic review was confirmed after reading the full article. Thirty two studies met eligibility criteria. Education was the most common intervention (41%), followed by counseling or support (38%), and exercise classes (28%). Half of the interventions were multi-component. Health care providers were the most frequent interventionists. Interventions aimed at decreasing blood pressure were the most promising while behavior change interventions were the most challenging. Almost all of the interventions were at the individual level, and were proof of concept or efficacy trials. Conclusions This analysis provides a step towards understanding the current literature on cardiovascular interventions for vulnerable population. The next step should be integrating the identified successful interventions into larger health systems and/or social policies.

Background In atrial fibrillation (AF), there are known sex and sociodemographic disparities in clinical outcomes such as stroke. We investigate whether disparities also exist with respect to patient-reported outcomes. We explored the association of sex, age, and education level with patient-reported outcomes (AF-related quality of life, symptom severity, and emotional and functional status). Methods The PaTH AF cohort study recruited participants ( N = 953) with an AF diagnosis and age ≥ 18 years across 4 academic medical centers. We performed longitudinal multiple regression with random effects to determine if individual characteristics were associated with patient-reported outcomes. Results Women reported poorer functional status (β − 2.23, 95% CI: -3.52, − 0.94) and AF-related quality of life (β − 4.12, 95% CI: -8.10, − 0.14), and higher symptoms of anxiety (β 2.08, 95% CI: 0.76, 3.40), depression (β 1.44, 95% CI: 0.25, 2.63), and AF (β 0.29, 95% CI: 0.08, 0.50). Individuals < 60 years were significantly ( p < 0.05) more likely to report higher symptoms of depression, anxiety, and AF, and poorer AF-related quality of life. Lack of college education was associated with reporting higher symptoms of AF (β 0.42, 95% CI: 0.17, 0.68), anxiety (β 1.86, 95% CI: 0.26, 3.45), and depression (β 1.11, 95% CI: 0.15, 2.38), and lower AF-related quality of life (β − 4.41, 95% CI: -8.25, − 0.57) and functional status. Conclusion Women, younger adults, and individuals with lower levels of education reported comparatively poor patient-reported outcomes. These findings highlight the importance of understanding why individuals experience AF differently based on certain characteristics.