Importance of Housing and Cardiovascular Health and Well-Being: A Scientific Statement From the American Heart Association

The health effects of housing instability and its association with congestive heart failure

Housing instability is a critical social determinant of health (SDOH). Prior studies of homelessness and congestive heart failure (CHF) have looked primarily at the association between socioeconomic status and hospitalization. The association between housing instability and the development of CHF has not been fully investigated. We examined data from 4,408 participants with annual household income below $50,000 in the All of Us Research Program, a national cohort study enriched for individuals underrepresented in biomedical research. Within the inceptive survey, participants were asked if they were worried or concerned about not having a place to live in the past 6 months. We assessed the association between this self-reported housing concern and CHF occurrence, finding that individuals with low income and housing instability had a 44 % higher risk of diagnosis of CHF than those with stable housing (HR 1.44; 95 %CI 1.03-2.01). The increased risk remained significant after adjusting for cardiovascular risk factors as potential confounders (HR 1.73; 95 %CI 1.19-2.51) such as cholesterol, history of diabetes, and older age categories aged 55-64 years, 65-74 years, 75 years and older. Compared with men, women in the study were estimated to be at lower risk of CHF diagnosis (HR 0.52; 95 %CI 0.38-0.70) with 5.3 % of men and 2.9 % of women eventually diagnosed. We found that participants with housing instability had a higher risk of diagnosis of CHF compared to those with stable housing, highlighting the potential health impact of this healthcare disparity. Housing instability disrupts the essentials of effective management of cardiovascular risk factors (diabetes, obesity, hypertension) including consistent management, reliable access to care, and access to basic needs like kitchen and bathroom. This exacerbates their severity and increasing the risk of being diagnosed with CHF.

Association of housing precariousness with depressive symptoms and suicidal ideation: Findings from a nationwide survey of young adults in South Korea

Adequate housing quality is fundamental to wellbeing. This study examined the associations between housing precariousness (HP), depressive symptoms, and suicidal ideation among young adults. A nationally representative sample of 14,800 Korean adults aged 19-34 years was analyzed. HP was measured across five dimensions: housing affordability, housing tenure, housing satisfaction, neighborhood quality, and community cohesion. An overall HP score (ranging from 0 to 10) was categorized into four levels: lowest, low, high, and highest. Depressive symptoms were determined based on the Patient Health Questionnaire-9, and suicidal ideation in the past year was evaluated. Logistic regression models calculated odds ratios (ORs) and 95 % confidence intervals (CIs). Among participants, 5.8 % reported depressive symptoms, and 2.4 % reported suicidal ideation. Compared with individuals with the lowest HP levels, individuals with high HP levels (OR: 1.45; 95 % CI: 1.07-1.96) and the highest HP level (OR: 3.22; 95 % CI: 2.37-4.37) were more likely to experience depressive symptoms. Similarly, the odds of suicidal ideation were higher among those with the highest HP level (OR: 3.38; 95 % CI: 2.21-5.19). Each 1-point increase in the HP score was associated with a 1.44-fold increase in the odds of experiencing depressive symptoms (95 % CI: 1.34-1.55) and a 1.46-fold increase in the odds of reporting suicidal ideation (95 % CI: 1.31-1.62). HP is associated with both depressive symptoms and suicidal ideation among young adults in South Korea. Therefore, multifaceted policy efforts are required to enhance housing quality of young adults.

Risk-Based Primary Prevention of Heart Failure: A Scientific Statement From the American Heart Association

The growing morbidity, mortality, and health care costs related to heart failure (HF) underscore the urgent need to prioritize its primary prevention. Whereas a risk-based approach for HF prevention remains in its infancy, several key opportunities exist to actualize this paradigm in clinical practice. First, the 2022 American Heart Association/American College of Cardiology/Heart Failure Society of America HF guidelines provided recommendations, for the first time, on the clinical utility of multivariable risk equations to estimate risk of incident HF. Second, the American Heart Association recently developed the PREVENT (Predicting Risk of Cardiovascular Disease Events) equations, which not only enable prediction of incident HF separately, but also include HF in the prediction of total cardiovascular disease. Third, the predominant phenotype of HF risk has emerged as the cardiovascular-kidney-metabolic syndrome. Fourth, the emergence of novel therapies that prevent incident HF (eg, sodium-glucose cotransporter-2 inhibitors) and target multiple cardiovascular-kidney-metabolic axes demonstrate growing potential for risk-based interventions. Whereas the concept of risk-based prevention has been established for decades, it has only been operationalized for atherosclerotic cardiovascular disease prevention to date. Translating these opportunities into a conceptual framework of risk-based primary prevention of HF requires implementation of PREVENT-HF (Predicting Risk of Cardiovascular Disease Events-Heart Failure) equations, targeted use of cardiac biomarkers (eg, natriuretic peptides) and echocardiography for risk reclassification and earlier detection of pre-HF, and definition of therapy-specific risk thresholds that incorporate net benefit and cost-effectiveness. This scientific statement reviews the current evidence for accurate risk prediction, defines strategies for equitable prevention, and proposes potential strategies for the successful implementation of risk-based primary prevention of HF.

Poor housing conditions in adolescence and adult health outcomes: an outcome-wide longitudinal approach

BACKGROUND

While prior literature has documented the impact of housing quality on health, the long-lasting effects of poor housing conditions in adolescence on adult health remain understudied. This study employs an outcome-wide longitudinal approach to estimate the association between poor housing conditions in adolescence and a set of health outcomes in adulthood.

METHODS

Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a large-scale, nationally representative sample of US adolescents, were used. This study analysed 15 health outcomes encompassing physical and mental/cognitive health, and health behaviours. The Bonferroni correction was applied to adjust the significance level of multiple testing of the associations.

RESULTS

After applying the Bonferroni correction, poor housing conditions in adolescence were associated with seven adult health outcomes. These conditions were particularly strongly and robustly linked to mental health issues, including depression, suicidal ideation and perceived stress. Additionally, poor housing conditions were related to physical health outcomes such as cardiovascular disease risk and self-rated health, as well as health behaviours such as smoking and unhealthy eating behaviour.

CONCLUSION

Poor housing conditions during adolescence can act as an early risk factor for adult health, particularly mental health. These findings support the adoption of a life course approach and strengthen the case for housing interventions aimed at improving health outcomes.

Early Mortality and Medical Complexity Among Medicolegal Cardiovascular Disease Deaths: Comparing Housed and Unhoused Decedents

BACKGROUND

There are extreme psychosocial, environmental, and behavioral risks to the health and well-being of persons experiencing homelessness. Within this complex and hazardous environment, there is an opportunity to gain clearer perspective into the role of accelerating cardiovascular disease (CVD) progression alongside the aging cohort effect in this population.

METHOD

Utilizing 2021 and 2022 data from the Harris County Medical Examiner, investigators analyzed CVD-associated deaths for excess mortality and impact of age-related factors specific to persons experiencing homelessness. All medicolegal deaths involving CVD were examined to determine relative frequencies of secondary causes of death and the influence of age between housed individuals and individuals experiencing homelessness.

RESULTS

The examination of the CVD mortality cases among persons experiencing homelessness in 2021 (n = 52) and 2022 (n = 71) revealed important trends. The mean age for CVD deaths for persons experiencing homelessness was 58.6 and 60.6 years in 2021 and 2022, respectively. Despite this slight, recent increase, the average age for CVD death among persons experiencing homelessness is dramatically lower than the housed, medicolegal CVD deaths, and the general population. Top-associated conditions were hypertension and atherosclerosis, regardless of housing status. However, chronic obstructive pulmonary disease and congestive heart failure were more common in CVD deaths of people experiencing homelessness.

DISCUSSION

These findings reemphasize the uniqueness and complexity of the risks for premature mortality in people experiencing homelessness. This underscores the call for social services and healthcare systems to be more responsive to the challenges faced by persons experiencing homelessness, with more integrated and targeted health and aging care interventions to address the specific needs of these marginalized individuals.

Improving Cardiovascular Health Through the Consideration of Social Factors in Genetics and Genomics Research: A Scientific Statement From the American Heart Association

Cardiovascular health (CVH) is affected by genetic, social, and genomic factors across the life course, yet little research has focused on the interrelationships among them. An extensive body of work has documented the impact of social determinants of health at both the structural and individual levels on CVH, highlighting pathways in which racism, housing, violence, and neighborhood environments adversely affect CVH and contribute to disparities in cardiovascular disease. Genetic factors have also been identified as contributors to risk for cardiovascular disease. Emerging evidence suggests that social factors can interact with genetic susceptibility to affect disease risk. Increasingly, social factors have been shown to affect epigenetic markers such as DNA methylation, which can regulate gene and protein expression. This is a potential biological mechanism through which exposure to poor social determinants of health becomes physically embodied at the molecular level, potentially contributing to the development of suboptimal CVH and chronic disease, thus reinforcing and propagating health disparities. The objective of this statement is to highlight and summarize key literature that has examined the joint associations between social, genetic, and genomic factors and CVH and cardiovascular disease.

Food Insecurity and Its Cardiovascular Implications in Underresourced Communities

BACKGROUND

Food insecurity is linked to poorer cardiovascular health (CVH) outcomes, particularly in underresourced communities, where social determinants of health play a critical role. Despite the recognized connections, there remains a lack of empirical evidence delineating the implications of food insecurity on CVH. CVH, a broader concept than cardiovascular disease, encompasses the overall well-being of the cardiovascular system and is supported by favorable lifestyle choices and physiological metrics. Particularly in underresourced communities, the study of CVH could provide valuable insights for early intervention and targeted public health initiatives. This study aimed to fill this knowledge gap.

METHODS AND RESULTS

We conducted a cross-sectional analysis of baseline data from the E-DUCASS (Educational Strategy on a Vulnerable Population to Improve Cardiovascular Health and Food Insecurity) program (NCT05379842), a 24-month randomized study targeting participants at risk for food insecurity. CVH was assessed using the Life's Essential 8 score. The sample included 451 participants aged 12 to 80 years, stratified by age (30.6% children [aged 12-19 years], 35.9% young adults [aged 20-39 years], and 33.5% adults [aged 40-80 years]) and sex (42.1% men and 57.9% women). The mean CVH score was 65.1 (95% CI, 63.9-66.4), with diet, physical activity, nicotine exposure, and body mass index being the lowest-scoring metrics. Food insecurity significantly influenced CVH; those participants with severe food insecurity had lower CVH scores than those without (effect size, -2.83 [95% CI, -5.10 to -0.56]; P<0.05).

CONCLUSIONS

Our findings highlight the negative association between food insecurity and CVH in underresourced Mediterranean communities. These results underscore the need for strategies aimed at reducing cardiovascular risk, potentially through health literacy programs like E-DUCASS, that focus on improving lifestyle and alleviating food insecurity.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique Identifier: NCT05379842.

Perceptions About Housing and Neighborhood Characteristics Among Aging Adult Black Americans in Two Predominantly Black, Low-Income Neighborhoods in Pittsburgh: A Multi-Method Analysis

The life expectancy gap between Black and White Americans has narrowed, but progress remains slow due to the persistent consequences of lifetime exposure to structural and interpersonal experiences of racism and discrimination in various settings, for example, disadvantaged housing, neighborhood, and economic conditions. It is important to understand challenges and facilitators to healthy aging among Black Americans, i.e., maintaining functional ability and well-being in older age. We explore the intersection of housing, neighborhoods, and healthy aging among Black adults who live in two predominantly Black, low-income neighborhoods in Pittsburgh, Pennsylvania. This complementary multi-method study combined survey data (n = 642) and qualitative interviews (n = 60) to delve into the perspectives of individuals aged 35 to 89. Survey and interview respondents were mostly renters (76% and 77% respectively), and about a fifth of those surveyed and interviewed reported any major home environment problems. Half of interviewees described poor quality housing as a source of stress, such as mold, building design, accessibility, and relational difficulties with their landlords and building managers. Buildings' social environment was an important dimension of housing quality among renters-behavioral and value differences between older and younger tenants caused frustration. Survey respondents were mostly (73%) satisfied with their neighborhoods' livability. Good access to transportation and community spaces were seen as positive factors to be sustained and encouraged in future. Policy implications include tracking health outcomes in housing programs for aging Black adults to inform improvements and enhanced oversight and coordination to ensure high-quality housing that meets the needs of older adults.

Risk and impact of stroke across 38 countries and territories of the Americas from 1990 to 2021: a population-based trends analysis from the Global Burden of Disease Study 2021

Background

Despite substantial declines in burden over time, stroke remains a public health threat in the Americas. This study aimed to assess the current magnitude, trends, and disparities in the estimates of stroke burden by sex and age in the Americas from 1990 to 2021.

Methods

Estimates from the Global Burden of Disease, Injuries and Risk Factors Study 2021 were used to analyze incidence, prevalence, mortality, years of life lost due to premature death, years lived with disabilities, and disability-adjusted life years (DALYs) caused by stroke and its major subtypes stratified by age, and sex in the Americas from 1990 to 2021. We used Joinpoint regression analysis to estimate the average annual percent change (AAPC) of stroke mortality and disease burden outcomes and assessed trends.

Findings

In 2021, there were 1.1 million (95% uncertainty interval: 1.0-1.2) new cases, 12.9 million (12.3-13.7) prevalent cases, 0.5 million (0.5-0.6) deaths, and 11.4 million (10.6-12.1) DALYs due to stroke in the Americas. The absolute number of stroke burden outcomes increased from 1990 to 2021, but their corresponding age-standardized rates significantly declined. A deceleration in reduction rates of burden outcomes for all strokes and most stroke subtypes occurred over the last decade, with pronounced difference between sexes mainly in incidence among younger groups. From 2015 to 2021, trends in incidence rates from all stroke and stroke subtypes reversed to increase in most age groups, and strikingly, trends in mortality and DALY rates from ischemic stroke among younger populations reversed to upward with AAPC over 1.4%. A substantial number of countries contributed to these increasing trends.

Interpretation

Regionally, the annual number of stroke cases and deaths significantly increased from 1990 to 2021, despite reductions in age-standardized rates. The declining pace in age-standardized stroke rates has decelerated in recent years, while trends in incidence, and ischemic stroke mortality and DALY among middle-aged adults and adults, reversed towards upward in the period 2015-2021. Further studies are needed to understand the determinants of this recent pattern and identify the most cost-effective interventions to stem this alarming trend.

Funding

There was no funding source for this study.

Lack of diversity in patients undergoing carotid artery stenting: Implications for the Distressed Community Index

INTRODUCTION

As the role of social determinants in carotid artery stenting (CAS) outcomes remains unclear, we investigated the association between the Distressed Community Index (DCI) (zip-code based) and post-CAS mortality/stroke outcomes.

METHODS

We analyzed patients undergoing CAS from 2015 to 2019 using the Medicare claims-linked Vascular Quality Initiative database. Patients were grouped based on high (DCI ⩾ 60) and low (DCI < 60) community distress. We analyzed 36-month mortality using Kaplan-Meier survival curves and hierarchical Cox regression, and 36-month stroke using cumulative incidence function curves and Fine-Gray models.

RESULTS

The final cohort included 8717 patients (3032 DCI ⩾ 60), with a mean DCI score of 46.2 (± 28.5) and mean age of 74.7 (± 7.8) years. Most participants were men (64.3%), White (92.7%), and non-Hispanic/Latino (97.7%). There was no significant difference in the 36-month mortality incidence between high and low community distress groups (25.6% vs 23.5%, p = 0.22), and no significant association between high community distress and mortality (unadjusted HR: 1.04; 95% CI 0.90-1.21; adjusted HR: 1.02; 95% CI 0.89-1.17). The high community distress group experienced an elevated 36-month stroke incidence (26.8% vs 22.4%, p = 0.048), but no significant association with stroke was observed (unadjusted sub-HR: 1.12; 95% CI 1.00-1.24; adjusted sub-HR: 1.03; 95% CI 0.92-1.16).

CONCLUSION

Our cohort showed underrepresentation in terms of sex, race, and ethnicity, with a skewed DCI distribution towards lower community distress. Contrary to what we know about community distress, no independent association between higher community distress and post-CAS stroke/mortality risk was found. Future work must examine whether accessibility barriers and selective CAS allocation explain our results.

Cultivating Health in All Policies Mindsets: An Ongoing Journey to Integrate Health and Housing in Georgia

This project report explores the use of a Health in All Policies (HiAP) approach by the Georgia Health Policy Center (GHPC) to integrate health perspectives into affordable housing policy and practice in Georgia. It focuses on five interconnected projects from over a decade-long collaboration to illustrate how the GHPC team started with a Health Impact Assessment (HIA) to seed cross-sector partnerships and then sustained them through subsequent collaborations. These projects included comprehensive-, intermediate-, and rapid-scale HIAs, as well as direct collaborations on housing development funding applications and a multidisciplinary research study on public housing renovations. This paper documents how HiAP tactics were applied across these projects to foster sustained collaboration and promote health equity. The insights offered highlight how the HiAP approach cultivated mindset shifts among public health practitioners, housing stakeholders, and policymakers, leading to a broader understanding of health and housing intersections. This synthesis contributes practical guidance for practitioners looking to advance the Vital Conditions for Health and Well-Being through housing policy initiatives.

Population-based estimates of major forms of housing insecurity among community-living older Americans

OBJECTIVES

The number of older adults struggling to maintain adequate housing is growing. Prior studies have used various criteria to measure housing insecurity; however, no standardized definition exists to date. Using a multidimensional approach, our study sought to calculate population-based estimates of various forms of housing insecurity among community-living older Americans and determine how these estimates differ across key characteristics.

METHODS

This study utilized data from the 2011 round of the National Health and Aging Trends Study (NHATS), a prospective longitudinal study of Medicare beneficiaries aged 65 years or older. Three key forms of housing insecurity were operationalized: poor housing affordability (PHA), poor housing quality (PHQ), and poor neighborhood quality (PNQ). Population-based estimates of these forms of housing insecurity were calculated using analytic sampling weights and stratified by age, gender, race and ethnicity, frailty status, and dementia status.

RESULTS

Totally 6466 participants were included in the analysis, representing 29,848,119 community-living older Americans. The mean (standard deviation) age was 77.3 (7.7) years; by weighted percentages, 56.0% identified as female, 81.3% as White, 8.2% Black, and 7.1% Hispanic. At least one form of housing insecurity was identified in 38.5% of older Americans. Individually, the prevalence of PHA was 14.8%, PHQ 24%, and PNQ 12.5%. The prevalence of at least one form of housing insecurity was higher among persons of color (62.9% Black and 66% Hispanic vs White; p < 0.001), those with frailty (40.9% pre-frail and 49.4% frail vs robust; p < 0.001), and those with cognitive impairment (48.1% possible and 51% probable dementia vs no dementia; p < 0.001).

DISCUSSION

Nearly one in three community-living older Americans experience at least one form of housing insecurity. This was most common among vulnerable subgroups. Our multidimensional approach to defining various forms of housing insecurity can be used for future studies focused on improving social determinants of health among high-risk older adults.

Economic and healthcare influences on circulatory diseases in Kazakhstan: a retrospective ecological study

BACKGROUND

Health is a key driver of the United Nations Sustainable Development Goals. This study examined the relationships between economic indicators, demographic metrics, and health system factors and morbidity due to non-communicable diseases, such as diseases of the circulatory system, in Kazakhstan.

METHODS

This retrospective ecological study utilized regionally aggregated data from 2010 to 2020 for all 14 regions in Kazakhstan. Data on incidence rates of diseases of the circulatory system (DCS) and socioeconomic, demographic, and healthcare variables were sourced from the Bureau of National Statistics and the Ministry of Health. Variables included gross regional product per capita, population density, living wage, unemployment rates, average monthly salary, Gini coefficient, income below subsistence level, housing space per capita, average monthly wage in healthcare, doctor and nurse densities per 10,000 population, and number of hospital beds. A correlation analysis was performed followed by stepwise regression to identify significant predictors.

RESULTS

The analysis identified that higher living wages (β = 0.7), population density (β = 0.275), nurse density (β = 0.212), and average monthly salary (β = 0.502) were positively associated with higher DCS incidence rates. Conversely, gross regional product per capita (β = -0.68), housing space per capita (β = -0.441), and income below the subsistence level (β = -0.161) were negatively associated with DCS incidence. The model explained approximately 63.7% of variance in DCS incidence.

CONCLUSIONS

Socioeconomic and healthcare factors significantly influence the incidence of circulatory diseases in Kazakhstan. Policies aimed at improving economic conditions such as increasing living wages and reducing unemployment may help lower DCS morbidity. Additionally, equitable distribution of healthcare resources like nurses could enhance early detection and management of circulatory diseases, contributing to better public health outcomes in a middle-income country setting.

Prevalence of Cardiovascular-Kidney-Metabolic Syndrome Stages by Social Determinants of Health

IMPORTANCE

Cardiovascular-kidney-metabolic (CKM) syndrome-a novel, multistage, multisystem disorder as defined by the American Heart Association-is highly prevalent in the US. However, the prevalence of CKM stages by social determinants of health (SDOH) remains unclear.

OBJECTIVE

To investigate whether the prevalence of CKM stages varies by SDOH in US adults.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the National Health and Nutrition Examination Survey (1999-2018) and included a nationally representative sample of adults aged 30 to 79 years through complex, multistage probability sampling. Data were analyzed from April 1 to June 15, 2024.

EXPOSURES

The exposures included 5 CKM stages (ie, stages 0-4) reflecting progressive pathophysiology, with advanced (stages 3 or 4) and nonadvanced (stages 0, 1, or 2) disease. CKM stages were defined based on risk factors for metabolic syndrome, cardiovascular disease, and chronic kidney disease.

MAIN OUTCOME AND MEASURES

The main outcome was the age-standardized prevalence of CKM stages and advanced CKM stages across SDOH, including education, marital status, family income, food security, health insurance, employment, home ownership, and health care access.

RESULTS

Among 29 722 participants (weighted mean [SE] age, 50.8 [0.1] years; weighted 50.7% male), the age-standardized prevalence of CKM stages 0 to 4 was 13.6% (95% CI, 13.0%-14.3%), 29.9% (95% CI, 29.1%-30.7%), 43.7% (95% CI, 42.9%-44.5%), 4.7% (95% CI, 4.4%-5.0%), and 8.1% (95% CI, 7.6%-8.5%), respectively. Significant differences were observed in the prevalence of CKM stages across all unfavorable SDOH of interest compared with their favorable counterparts, with unemployment (18.8% [95% CI, 17.7%-20.1%] vs 11.4% [95% CI, 11.0%-11.9%]), low family income (16.1% [95% CI, 15.4%-16.8%] vs 10.1% [95% CI, 9.5%-10.7%]), and food insecurity (18.3% [95% CI, 17.1%-19.6%] vs 11.7% [95% CI, 11.2%-12.2%]) associated with an increased likelihood of advanced CKM stages. Participants with 2 or more unfavorable SDOH were more likely to have advanced CKM stages (age-standardized prevalence, 15.8% [95% CI, 15.2%-16.5%] vs 10.5% [95% CI, 9.9%-11.1%] with <2 unfavorable SDOH). Living in a rented home (15.9% [95% CI, 14.7%-17.0%] vs 9.3% [95% CI, 8.7%-9.9%] owning the home) or not living with a partner (13.2% [95% CI, 12.3%-14.3%] vs 9.2% [95% CI, 8.5%-9.8%] living with a partner) increased the likelihood of advanced CKM stages in female but not male participants.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, disparities in the prevalence of CKM stages by SDOH, particularly family income, food security, and employment, with notable sex differences, were observed in US adults. These findings highlight the need to address inequities in CKM syndrome through targeted interventions.

A Toolkit to Facilitate the Selection and Measurement of Health Equity Indicators for Cardiovascular Disease

Cardiovascular disease (CVD) is the leading cause of illness and death in the US and is substantially affected by social determinants of health, such as social, economic, and environmental factors. CVD disproportionately affects groups that have been economically and socially marginalized, yet health care and public health professionals often lack tools for collecting and using data to understand and address CVD inequities among their populations of focus. The Health Equity Indicators for Cardiovascular Disease Toolkit (HEI for CVD Toolkit) seeks to address this gap by providing metrics, measurement guidance, and resources to support users collecting, measuring, and analyzing data relevant to their CVD work. The toolkit includes a conceptual framework (a visual model for understanding health inequities in CVD); a comprehensive list of health equity indicators (metrics of inequities that influence CVD prevention, care, and management); guidance in definitions, measures, and data sources; lessons learned and examples of HEI implementation; and other resources to support health equity measurement. To develop this toolkit, we performed literature scans to identify primary topics and themes relevant to addressing inequities in CVD, engaged with subject matter experts in health equity and CVD, and conducted pilot studies to understand the feasibility of gathering and analyzing data on the social determinants of health in various settings. This comprehensive development process resulted in a toolkit that can help users understand the drivers of inequities in their communities or patient populations, assess progress, evaluate intervention outcomes, and guide actions to address CVD disparities.

The Effect of Social Determinants of Health in Treating Chronic Limb-Threatening Ischemia

Social determinants of health (SDOHs) are broadly defined as nonmedical factors that impact the outcomes of one's health. SDOHs have been increasingly recognized in the literature as profound and modifiable factors on the outcomes of vascular care in peripheral artery disease (PAD) and chronic limb-threatening ischemia (CLTI) despite surgical and technological advancements. In this paper, we briefly review the SDOH and its impact on the management and outcome of patients with CLTI. We highlight the importance of understanding how SDOH impacts our patient population so the vascular community may provide more effective, inclusive, and equitable care.

Longitudinal Impacts of High Versus Low Greenness on Cardiovascular Disease Conditions

BACKGROUND

Greenness-or vegetative presence-has been identified as a factor in chronic disease. The present study examines the longitudinal relationship between objective measures of greenness at the residential block level and incidence of 6 cardiovascular disease conditions.

METHODS AND RESULTS

Analyses examined the impact of consistently high versus consistently low "precision" greenness at the Census block level on the 5-year incidence of cardiovascular disease conditions, including acute myocardial infarction, atrial fibrillation, heart failure, ischemic heart disease, stroke/transient ischemic attack, and hypertension, among 229 034 US Medicare beneficiaries in Miami-Dade County, Florida, USA. Zero-inflated Poisson regression was used to model the odds of developing any new cardiovascular disease and number of new cardiovascular disease conditions based on greenness tertiles computed across 2011 and 2016 Normalized Difference Vegetation Index values, adjusting for individual age, sex, race, ethnicity, baseline cardiovascular disease conditions, neighborhood income, and walkability in 2011 and 2016. When compared with individuals consistently in the low greenness tertile in 2011 and 2016, those consistently in the high greenness tertile in 2011 and 2016 had a 9% lower odds of having any new cardiovascular conditions (odds ratio [OR], 0.91 [95% CI, 0.84-0.99]; P=0.021).

CONCLUSIONS

Over a 5-year period, consistently high greenness, when compared with consistently low greenness, was associated with lower odds of any new cardiovascular disease conditions. Identifying the role of greenness exposure in such a small geographic area, the Census block on which the older adult resides, allows for more precise, strategic decisions on where additional trees can be added-by selecting at-risk blocks rather than entire neighborhoods for tree-planting interventions.

Depleted Housing Elicits Cardiopulmonary Dysfunction After a Single Flaming Eucalyptus Wildfire Smoke Exposure in a Sex-Specific Manner in ApoE Knockout Mice

Although it is well established that wildfire smoke exposure can increase cardiovascular morbidity and mortality, the combined effects of non-chemical stressors and wildfire smoke remains understudied. Housing is a non-chemical stressor that is a major determinant of cardiovascular health, however, disparities in neighborhood and social status have exacerbated the cardiovascular health gaps within the United States. Further, pre-existing cardiovascular morbidities, such as atherosclerosis, can worsen the response to wildfire smoke exposures. This represents a potentially hazardous interaction between inadequate housing and stress, cardiovascular morbidities, and worsened responses to wildfire smoke exposures. The purpose of this study was to examine the effects of enriched (EH) versus depleted (DH) housing on pulmonary and cardiovascular responses to a single flaming eucalyptus wildfire smoke (WS) exposure in male and female apolipoprotein E (ApoE) knockout mice, which develop an atherosclerosis-like phenotype. The results of this study show that cardiopulmonary responses to WS exposure occur in a sex-specific manner. EH blunts adverse WS-induced ventilatory responses, specifically an increase in tidal volume (TV), expiratory time (Te), and relaxation time (RT) after a WS exposure, but only in females. EH also blunted an increase in isovolumic relaxation time (IVRT) and the myocardial performance index (MPI) 1-week after exposures, also only in females. Our results suggest that housing alters the cardiovascular response to a single WS exposure, and that DH might cause increased susceptibility to environmental exposures that manifest in altered ventilation patterns and diastolic dysfunction in a sex-specific manner.

Foreclosure, memory decline, and dementia probability: A longitudinal cohort study

INTRODUCTION

Housing insecurity is rising among older adults; health researchers know little about how this may impact their cognitive health. We investigated links between foreclosure and older adults' memory and probability of dementia.

METHODS

Using the Health and Retirement Study (2008 to 2018), we fit mixed models comparing the memory and dementia probability scores of 249 older adults who experienced foreclosure (treated) with 15,645 who did not. Baseline covariates included sociodemographics and health. Models were stratified by age group.

RESULTS

Foreclosure was associated with faster memory decline among middle-aged (50 to 64) older adults (-0.007 standard deviations/year, 95% confidence interval: -0.13, -0.001). Compared to average memory decline among middle-aged older adults who were stably housed, foreclosure equated to 3.7 additional years of aging over 10 years. Among those 65+, differences between those who were and were not foreclosed upon were short-lived and less clear, potentially driven by depletion-of-susceptibles bias.

DISCUSSION

Foreclosure may endanger older adults' memory.

HIGHLIGHTS

Housing instability is a key determinant of cognitive aging. We examined foreclosure and levels and changes in memory and dementia probability scores in the US older adult population. Foreclosure was associated with faster memory decline among middle-aged (50 to 64) older adults, equivalent to 3.7 additional years of cognitive aging over 10 years. Foreclosure yielded sharp memory declines and increases in dementia probability among older adults 65 and above. Foreclosure imposes a greater risk for older adults' cognitive decline.

Neighborhood Socioeconomic Disadvantage Across the Life Course and Premature Mortality

Importance

There are consistent data demonstrating that socioeconomic disadvantage is associated with risk of premature mortality, but research on the relationship between neighborhood socioeconomic factors and premature mortality is limited. Most studies evaluating the association between neighborhood socioeconomic status (SES) and mortality have used a single assessment of SES during middle to older adulthood, thereby not considering the contribution of early life neighborhood SES.

Objective

To investigate the association of life course neighborhood SES and premature mortality.

Design, Setting, and Participants

This cohort study included Black and White participants of the multicenter Atherosclerosis Risk in Communities Study, a multicenter study conducted in 4 US communities: Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and the northwestern suburbs of Minneapolis, Minnesota. Participants were followed up for a mean (SD) of 18.8 (5.7) years (1996-2020). Statistical analysis was performed from March 2023 through May 2024.

Exposure

Participants' residential addresses during childhood, young adulthood, and middle adulthood were linked with US Census-based socioeconomic indicators to create summary neighborhood SES scores for each of these life epochs. Neighborhood SES scores were categorized into distribution-based tertiles.

Main Outcomes and Measures

Premature death was defined as all-cause mortality occurring before age 75 years. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs.

Results

Among 12 610 study participants, the mean (SD) age at baseline was 62.6 (5.6) years; 3181 (25.2%) were Black and 9429 (74.8%) were White; and 7222 (57.3%) were women. The lowest, compared with the highest tertile, of neighborhood SES score in middle adulthood was associated with higher risk of premature mortality (HR, 1.28; 95% CI, 1.07-1.54). Similar associations were observed for neighborhood SES in young adulthood among women (HR, 1.25; 95% CI, 1.00-1.56) and neighborhood SES in childhood among White participants (HR, 1.25; 95% CI, 1.01-1.56). Participants whose neighborhood SES remained low from young to middle adulthood had an increased premature mortality risk compared with those whose neighborhood SES remained high (HR, 1.25; 95% CI, 1.05-1.49).

Conclusions and Relevance

In this study, low neighborhood SES was associated with premature mortality. The risk of premature mortality was greatest among individuals experiencing persistently low neighborhood SES from young to middle adulthood. Place-based interventions that target neighborhood social determinants of health should be designed from a life course perspective that accounts for early-life socioeconomic inequality.

Enriched housing differentially alters allostatic load and cardiopulmonary responses to wildfire-related smoke in male and female mice

Living conditions are an important modifier of individual health outcomes and may lead to higher allostatic load (AL). However, housing-induced cardiovascular and immune effects contributing to altered environmental responsiveness remain understudied. This investigation was conducted to examine the influence of enriched (EH) versus depleted housing (DH) conditions on cardiopulmonary functions, systemic immune responses, and allostatic load in response to a single wildfire smoke (WS) exposure in mice. Male and female C57BL/6J mice were divided into EH or DH for 22 weeks, and cardiopulmonary assessments measured before and after exposures to either one-hr filtered air (FA) or flaming eucalyptus WS exposure. Male and female DH mice exhibited increased heart rate (HR) and left ventricular mass (LVM), as well as reduced stroke volume and end diastolic volume (EDV) one week following exposure to WS. Female DH mice displayed significantly elevated levels of IL-2, IL-17, corticosterone and hemoglobin A1c (HbA1c) following WS, while female in EH mice higher epinephrine levels were detected. Female mice exhibited higher AL than males with DH, which was potentiated post-WS exposure. Thus, DH increased susceptibility to extreme air pollution in a gender-dependent manner suggesting that living conditions need to be evaluated as a modifier of toxicological responses.

Profiles of Geriatric Syndromes and Resources in Older Patients with Atrial Fibrillation

Objective: Older patients with nonvalvular atrial fibrillation (AF) are at high risk for frailty and geriatric syndromes (GSs), which modulate their individual prognosis and are therefore relevant for further management. Because few studies have evaluated the geriatric profile of older AF patients, this secondary analysis aims to further characterize the patterns of GSs and geriatric resources (GRs) in AF patients and their association with anticoagulation use. Methods: Data from 362 hospitalized patients aged 65 years and older with AF (n = 181, 77.8 ± 5.8 years, 38% female) and without AF (non-AF [NAF]; n = 181, 77.5 ± 5.9 years, 40% female) admitted to an internal medicine and nephrology ward of a large university hospital in Germany were included. All patients underwent usual care plus a comprehensive geriatric assessment (CGA) including calculation of the Multidimensional Prognostic Index (MPI) and collection of 17 GSs and 10 GRs. Patients were followed up by telephone 6 and 12 months after discharge to collect data on their health status. Results: The mean MPI score of 0.47 indicated an average risk of poor outcome, and patients with AF had a significantly higher MPI than those without AF (p = 0.040). After adjustment for chronological age, biological sex, Cumulative Illness Rating Scale (CIRS) for relevant chronic diagnoses and MPI as a proxy for biological age, AF patients had significantly more mnestic resources (63.5% vs. 33.1%, p < 0.001), a tendency for less age-appropriate living conditions (56.4% vs. 72.9%, p = 0.051) and more sensory impairment (78.5% vs. 52.5%, p < 0.001) than NAF patients. They also had a higher number of GSs (p = 0.046). AF patients on oral anticoagulants (OACs, n = 91) had less age-appropriate living conditions (48.4% vs. 64.4%, p < 0.05) and mnestic resources (36.3% vs. 54.4%, p < 0.01), but more emotional resources (80.2% vs. 65.6%, p < 0.05) and chronic pain (56% vs. 40%, p < 0.05) than patients without OACs (n = 90). Overall, mortality at 1 year was increased in patients with a higher MPI (p < 0.009, adjusted for age, sex and CIRS), with a diagnosis of AF (p = 0.007, adjusted for age, sex, CIRS and MPI), with of male sex (p = 0.008, adjusted for age, CIRS and MPI) and those with AF and treated with hemodialysis (p = 0.022, compared to AF patients without dialysis treatment). Conclusions: Patients with AF and patients with AF and OACs show differences in their multidimensional frailty degree as well as GR and GS profiles compared to patients without AF or with AF not treated with OACs. Mortality after 1 year is increased in AF patients with a higher MPI and dialysis, independently from OAC use and overall burden of chronic disease as assessed per CIRS. GRs and GSs, especially age-appropriate living conditions, emotional resources, sensory impairment and chronic pain, can be considered as factors that may modify the individual impact of frailty, underscoring the relevance of these parameters in the management of older patients.

The effect of enriched versus depleted housing on eucalyptus smoke-induced cardiovascular dysfunction in mice

Objectives: Living conditions play a major role in health and well-being, particularly for the cardiovascular and pulmonary systems. Depleted housing contributes to impairment and development of disease, but how it impacts body resiliency during exposure to environmental stressors is unknown. This study examined the effect of depleted (DH) versus enriched housing (EH) on cardiopulmonary function and subsequent responses to wildfire smoke. Materials and Methods: Two cohorts of healthy female mice, one of them surgically implanted with radiotelemeters for the measurement of electrocardiogram, body temperature (Tco) and activity, were housed in either DH or EH for 7 weeks. Telemetered mice were exposed for 1 h to filtered air (FA) and then flaming eucalyptus wildfire smoke (WS) while untelemetered mice, which were used for ventilatory assessment and tissue collection, were exposed to either FA or WS. Animals were continuously monitored for 5-7 days after exposure. Results: EH prevented a decrease in Tco after radiotelemetry surgery. EH mice also had significantly higher activity levels and lower heart rate during and after FA and WS. Moreover, EH caused a decreased number of cardiac arrhythmias during WS. WS caused ventilatory depression in DH mice but not EH mice. Housing enrichment also upregulated the expression of cardioprotective genes in the heart. Conclusions: The results of this study indicate that housing conditions impact overall health and cardiopulmonary function. More importantly, depleted housing appears to worsen the response to air pollution. Thus, non-chemical factors should be considered when assessing the susceptibility of populations, especially when it comes to extreme environmental events.

Determinants of Guideline-Directed Medical Therapy Implementation During Heart Failure Hospitalization

Background

Despite evidence that guideline-directed medical therapies (GDMTs) improve outcomes in patients with heart failure (HF) with reduced ejection fraction (HFrEF), implementation remains suboptimal.

Objectives

The purpose of this study was to measure GDMT implementation during acute HFrEF hospitalization, evaluate the association between socioeconomic factors and GDMT implementation, and assess the association of GDMT utilization with subsequent clinical events.

Methods

Retrospective determination of GDMT utilization using a modified optimal medical therapy (mOMT) score (which accounts for specific contraindications to drugs) during unplanned HF hospitalization of consecutive adult patients with new-onset or previously diagnosed HFrEF from 2017 to 2018. Outcomes included discharge mOMT score, association between socioeconomic factors and GDMT implementation (assessed using both the Mann-Whitney U test for binary variables and the Kruskall-Wallace for nonbinary variables), composite outcome 1-year all-cause mortality and 1-year HF readmission, and each component as a function of discharge mOMT score (assessed using univariate and multivariable Cox proportional hazards regression models).

Results

Of 391 patients fulfilling entry criteria (of which 152 [38.9%] had new-onset HFrEF), only 49 (12.5%) had a perfect or near-perfect discharge mOMT score. Black patients and those experiencing homelessness had significantly lower discharge mOMT scores. Higher discharge mOMT score is associated with a lower rate of composite endpoint events, particularly in patients with new-onset HFrEF. Overall, a 0.1-increase in the mOMT score resulted in a 9.2% reduction in the composite endpoint.

Conclusions

Suboptimal implementation of GDMT during HF hospitalization is widespread and is associated with a worse outcome. Black patients and patients experiencing homelessness were less likely to have GDMT optimized.

Incidence and Survival of Out-of-Hospital Cardiac Arrest in Public Housing Areas in 3 European Capitals

BACKGROUND

Strategies to reach out-of-hospital cardiac arrests (called cardiac arrest) in residential areas and reduce disparities in care and outcomes are warranted. This study investigated incidences of cardiac arrests in public housing areas.

METHODS

This register-based cohort study included cardiac arrest patients from Amsterdam (the Netherlands) from 2016 to 2021, Copenhagen (Denmark) from 2016 to 2021, and Vienna (Austria) from 2018 to 2021. Using Poisson regression adjusted for spatial correlation and city, we compared cardiac arrest incidence rates (number per square kilometer per year and number per 100 000 inhabitants per year) in public housing and other residential areas and examined the proportion of cardiac arrests within public housing and adjacent areas (100-m radius).

RESULTS

Overall, 9152 patients were included of which 3038 (33.2%) cardiac arrests occurred in public housing areas and 2685 (29.3%) in adjacent areas. In Amsterdam, 635/1801 (35.3%) cardiac arrests occurred in public housing areas; in Copenhagen, 1036/3077 (33.7%); and in Vienna, 1367/4274 (32.0%). Public housing areas covered 42.4 (12.6%) of 336.7 km2 and 1 024 470 (24.6%) of 4 164 700 inhabitants. Across the capitals, we observed a lower probability of 30-day survival in public housing versus other residential areas (244/2803 [8.7%] versus 783/5532 [14.2%]). The incidence rates and rate ratio of cardiac arrest in public housing versus other residential areas were incidence rate, 16.5 versus 4.1 n/km2 per year; rate ratio, 3.46 (95% CI, 3.31-3.62) and incidence rate, 56.1 versus 36.8 n/100 000 inhabitants per year; rate ratio, 1.48 (95% CI, 1.42-1.55). The incidence rates and rate ratios in public housing versus other residential areas were consistent across the 3 capitals.

CONCLUSIONS

Across 3 European capitals, one-third of cardiac arrests occurred in public housing areas, with an additional third in adjacent areas. Public housing areas exhibited consistently higher cardiac arrest incidences per square kilometer and 100 000 inhabitants and lower survival than other residential areas. Public housing areas could be a key target to improve cardiac arrest survival in countries with a public housing sector.

Associations Between Social Determinants of Health and Cardiovascular Health of U.S. Adult Cancer Survivors

BACKGROUND

Relationships between the social determinants of health (SDOH) and cardiovascular health (CVH) of cancer survivors are underexplored.

OBJECTIVES

This study sought to investigate associations between the SDOH and CVH of adult cancer survivors.

METHODS

Data from the U.S. National Health Interview Survey (2013-2017) were used. Participants reporting a history of cancer were included, excluding those with only nonmelanotic skin cancer, or with missing data for any domain of SDOH or CVH. SDOH was quantified with a 6-domain, 38-item score, consistent with the Centers for Disease Control and Prevention recommendations (higher score indicated worse deprivation). CVH was quantified based on the American Heart Association's Life's Essential 8, but due to unavailable detailed dietary data, a 7-item CVH score was used, with a higher score indicating worse CVH. Survey-specific multivariable Poisson regression was used to test associations between SDOH quartiles and CVH.

RESULTS

Altogether, 8,254 subjects were analyzed, representing a population of 10,887,989 persons. Worse SDOH was associated with worse CVH (highest vs lowest quartile: risk ratio 1.30; 95% CI: 1.25-1.35; P < 0.001), with a grossly linear relationship between SDOH and CVH scores. Subgroup analysis found significantly stronger associations in younger participants (P interaction = 0.026) or women (P interaction = 0.001) but without significant interactions with race (P interaction = 0.051). Higher scores in all domains of SDOH were independently associated with worse CVH (all P < 0.001). Higher SDOH scores were also independently associated with each component of the CVH score (all P < 0.05 for highest SDOH quartile).

CONCLUSIONS

An unfavorable SDOH profile was independently associated with worse CVH among adult cancer survivors in the United States.

Disparities in prevalence and treatment of diabetes, cardiovascular and chronic kidney diseases - Recommendations from the taskforce of the guideline workshop

There is a mounting clinical, psychosocial, and socioeconomic burden worldwide as the prevalence of diabetes, cardiovascular disease (CVD), and chronic kidney disease (CKD) continues to rise. Despite the introduction of therapeutic interventions with demonstrated efficacy to prevent the development or progression of these common chronic diseases, many individuals have limited access to these innovations due to their race/ethnicity, and/or socioeconomic status (SES). However, practical guidance to providers and healthcare systems for addressing these disparities is often lacking. In this article, we review the prevalence and impact of healthcare disparities derived from the above-mentioned chronic conditions and present broad-based recommendations for improving access to quality care and health outcomes within the most vulnerable populations.

Racial and Socioeconomic Determinants of Cardiovascular Health: A Comprehensive Review

Cardiovascular diseases (CVDs) are the leading cause of death globally. Their prevalence and mortality rates continue to rise. This narrative review explores well-known risk factors for CVDs such as dyslipidemia, hypertension, diabetes, obesity, and smoking, and their prevalence among different racial and ethnic groups. In addition, we expand the discussion to include the impact of socioeconomic status (SES) on cardiovascular outcomes. The data demonstrate that non-Hispanic Black and Hispanic populations not only exhibit higher rates of hypertension, obesity, diabetes, and smoking but also face systemic barriers linked to lower SES, which worsen their cardiovascular outcomes. These barriers include a lack of education, lower income, higher rates of unemployment, and poor living conditions. Beyond these commonly studied factors, these groups also suffer from higher levels of food and housing insecurity and a lack of adequate insurance coverage, all of which contribute to poorer health. Additionally, there is a higher prevalence of mental health disorders, such as depression and anxiety, among these populations. This further compounds the risks and adverse outcomes associated with CVDs. It is essential to conduct further research into how SES and race influence cardiovascular health and to refine risk assessment methods. Concentrating on these aspects would make it possible to create interventions designed to meet the needs of diverse communities and strategies that could potentially reduce morbidity and mortality from CVD across populations. Moreover, this review advocates for integrating comprehensive socioeconomic data into cardiovascular health strategies, which is crucial for developing effective public health initiatives.

Disparities in Cardiovascular Disease-Related Outcomes Among Cancer Survivors in the United States: A Systematic Review of the Literature

BACKGROUND

Cancer and cardiovascular disease (CVD) are major causes of morbidity and mortality in the United States (US). Cancer survivors have increased risks for CVD and CVD-related mortality due to multiple factors including cancer treatment-related cardiotoxicity. Disparities are rooted in differential exposure to risk factors and social determinants of health (SDOH), including systemic racism. This review aimed to assess SDOH's role in disparities, document CVD-related disparities among US cancer survivors, and identify literature gaps for future research.

METHODS

Following the Peer Review of Electronic Search Strategies (PRESS) guidelines, MEDLINE, PsycINFO, and Scopus were searched on March 15, 2021, with an update conducted on September 26, 2023. Articles screening was performed using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, a pre-defined Population, Exposure, Comparison, Outcomes, and Settings (PECOS) framework, and the Rayyan platform. A modified version of the Newcastle-Ottawa Scale was used to assess the risk of bias, and RAW Graphs for alluvial charts. This review is registered with PROSPERO under ID #CRD42021236460.

RESULTS

Out of 7,719 retrieved articles, 24 were included, and discussed diverse SDOH that contribute to CVD-related disparities among cancer survivors. The 24 included studies had a large combined total sample size (n=7,704,645; median=19,707). While various disparities have been investigated, including rural-urban, sex, socioeconomic status, and age, a notable observation is that non-Hispanic Black cancer survivors experience disproportionately adverse CVD outcomes when compared to non-Hispanic White survivors. This underscores historical racism and discrimination against non-Hispanic Black individuals as fundamental drivers of CVD-related disparities.

CONCLUSIONS

Stakeholders should work to eliminate the root causes of disparities. Clinicians should increase screening for risk factors that exacerbate CVD-related disparities among cancer survivors. Researchers should prioritise the investigation of systemic factors driving disparities in cancer and CVD and develop innovative interventions to mitigate risk in cancer survivors.

Depleted housing elicits cardiopulmonary dysfunction after a single flaming eucalyptus wildfire smoke exposure in a sex-specific manner in ApoE knockout mice

Although it is well established that wildfire smoke exposure can increase cardiovascular morbidity and mortality, the combined effects of non-chemical stressors and wildfire smoke remains understudied. Housing is a non-chemical stressor that is a major determinant of cardiovascular health, however, disparities in neighborhood and social status have exacerbated the cardiovascular health gaps within the United States. Further, pre-existing cardiovascular morbidities, such as atherosclerosis, can worsen the response to wildfire smoke exposures. This represents a potentially hazardous interaction between inadequate housing and stress, cardiovascular morbidities, and worsened responses to wildfire smoke exposures. The purpose of this study was to examine the effects of enriched (EH) versus depleted (DH) housing on pulmonary and cardiovascular responses to a single flaming eucalyptus wildfire smoke (WS) exposure in male and female apolipoprotein E (ApoE) knockout mice, which develop an atherosclerosis-like phenotype. The results of this study show that cardiopulmonary responses to WS exposure occur in a sex-specific manner. EH blunts adverse WS-induced ventilatory responses, specifically an increase in tidal volume (TV), expiratory time (Te), and relaxation time (RT) after a WS exposure, but only in females. EH also blunted a WS-induced increase in isovolumic relaxation time (IVRT) and the myocardial performance index (MPI) 1-wk after exposures, also only in females. Our results suggest that housing alters the cardiovascular response to a single WS exposure, and that DH might cause increased susceptibility to environmental exposures that manifest in altered ventilation patterns and diastolic dysfunction in a sex-specific manner.

County-Level Socio-Environmental Factors Associated With Stroke Mortality in the United States: A Cross-Sectional Study

We used machine learning methods to explore sociodemographic and environmental determinants of health (SEDH) associated with county-level stroke mortality in the USA. We conducted a cross-sectional analysis of individuals aged ≥15 years who died from all stroke subtypes between 2016 and 2020. We analyzed 54 county-level SEDH possibly associated with age-adjusted stroke mortality rates/100,000 people. Classification and Regression Tree (CART) was used to identify specific county-level clusters associated with stroke mortality. Variable importance was assessed using Random Forest analysis. A total of 501,391 decedents from 2397 counties were included. CART identified 10 clusters, with 77.5% relative increase in stroke mortality rates across the spectrum (28.5 vs 50.7 per 100,000 persons). CART identified 8 SEDH to guide the classification of the county clusters. Including, annual Median Household Income ($), live births with Low Birthweight (%), current adult Smokers (%), adults reporting Severe Housing Problems (%), adequate Access to Exercise (%), adults reporting Physical Inactivity (%), adults with diagnosed Diabetes (%), and adults reporting Excessive Drinking (%). In conclusion, SEDH exposures have a complex relationship with stroke. Machine learning approaches can help deconstruct this relationship and demonstrate associations that allow improved understanding of the socio-environmental drivers of stroke and development of targeted interventions.

Impact of Advanced Therapy Centers on Characteristics and Outcomes of Heart Failure Admissions

BACKGROUND

Although much attention has been paid to admission and transfer patterns for cardiogenic shock, contemporary data are lacking on decompensated heart failure (HF) admissions and transfers and the impact of advanced therapy centers (ATCs) on outcomes.

METHODS

HF hospitalizations were obtained from the Nationwide Readmissions Database 2016 to 2019. Centers performing at least 1 heart transplant or left ventricular assist device were classified as ATCs. Patient characteristics, outcomes, and procedural volume were compared among 3 cohorts: admissions to non-ATCs, admissions to ATCs, and transfers to ATCs. A secondary analysis evaluated outcomes for severe HF hospitalizations (cardiogenic shock, cardiac arrest, and mechanical ventilation). Multivariable logistic regression was performed to adjust for the presence of HF decompensations and significant clinical variables during univariate analysis.

RESULTS

A total of 2 331 690 hospitalizations (81.2%) were admissions to non-ATCs (94.5% of centers), 525 037 (18.3%) were admissions to ATCs (5.5% of centers), and 15 541 (0.5%) were transferred to ATCs. Patients treated at ATCs (especially those transferred) had higher rates of HF decompensations, procedural frequency, lengths of stay, and costs. Unadjusted mortality was 2.6% at non-ATCs and was higher at ATCs, both for directly admitted (2.9%, P<0.001) and transferred (11.2%, P<0.001) patients. However, multivariable-adjusted mortality was significantly lower at ATCs, both for directly admitted (odds ratio, 0.82 [95% CI, 0.78-0.87]; P<0.001) and transferred (odds ratio, 0.66 [95% CI, 0.57-0.78]; P<0.001) patients. For severe HF admissions, unadjusted mortality was 37.2% at non-ATCs and was lower at ATCs, both for directly admitted (25.3%, P<0.001) and transferred (25.2%, P<0.001) patients, with similarly lower multivariable-adjusted mortality.

CONCLUSIONS

Patients with HF treated at ATCs were sicker but associated with higher procedural volume and lower adjusted mortality.

Association between social vulnerability index and admission urgency for transcatheter aortic valve replacement

Background

Transcatheter aortic valve replacement (TAVR) are not offered equitably to vulnerable population groups. Adequate levels of insurance may narrow gaps among patients with higher social vulnerability index (SVI). Among a national population of individuals with commercial or Medicare insurance, we sought to determine whether SVI was associated with urgency of receipt of TAVR for aortic stenosis.

Methods and results

Using Optum's de-identified Clinformatics Data Mart Database (CDM), we identified admissions for TAVR with aortic stenosis between January 2018 and March 2022. Admission urgency was identified by CDM claims codes. SVI was cross-referenced to patient zip codes and grouped into quintiles. Generalized linear mixed effects models were used to predict the probability of a TAVR admission being urgent based on SVI quintiles, adjusting for patient and hospital-level covariates.

Results

Among 6680 admissions for TAVR [median age 80 years (interquartile range 75-85), 43.9 % female], 8.5 % (n = 567) were classified as urgent. After adjusting for patient and hospital-level variables, there were no significant differences in the odds of urgent admission for TAVR according to SVI quintiles [OR 5th (greatest social vulnerability) vs 1st quintile (least social vulnerability): 1.29 (95 % CI: 0.90-1.85)].

Conclusions

Among commercial or Medicare beneficiaries with aortic stenosis, SVI was not associated with admission urgency for TAVR. To clarify whether cardiovascular care delivery is improved across SVI with higher paying beneficiaries, future investigation should identify whether relationships between SVI and TAVR urgency vary for Medicaid beneficiaries compared to commercial beneficiaries.

Paving a Path to Equity in Cardiorenal Care

Cardiorenal syndrome encompasses a dynamic interplay between cardiovascular and kidney disease, and its prevention requires careful examination of multiple predisposing underlying conditions. The unequal distribution of diabetes, heart failure, hypertension, and kidney disease requires special attention because of the influence of these conditions on cardiorenal disease. Despite growing evidence regarding the benefits of disease-modifying agents (e.g., sodium-glucose cotransporter 2 inhibitors) for cardiovascular, kidney, and metabolic (CKM) disease, significant disparities remain in access to and utilization of these essential therapeutics. Multilevel barriers impeding their use require multisector interventions that address patient, provider, and health system-tailored strategies. Burgeoning literature also describes the critical role of unequal social determinants of health, or the sociopolitical contexts in which people live and work, in cardiorenal risk factors, including heart failure, diabetes, and chronic kidney disease. This review outlines (i) inequality in the burden and treatment of hypertension, type 2 diabetes, and heart failure; (ii) disparities in the use of key disease-modifying therapies for CKM diseases; and (iii) multilevel barriers and solutions to achieve greater pharmacoequity in the use of disease-modifying therapies. In addition, this review provides summative evidence regarding the role of unequal social determinants of health in cardiorenal health disparities, further outlining potential considerations for future research and intervention. As proposed in the 2023 American Heart Association presidential advisory on CKM health, a paradigm shift will be needed to achieve cardiorenal health equity. Through a deeper understanding of CKM health and a commitment to equity in the prevention, detection, and treatment of CKM disease, we can achieve this critical goal.

Scoping Review of Screening and Assessment Tools for Social Determinants of Health in the Field of Cardiovascular Disease

BACKGROUND

Despite the importance of implementing the concept of social determinants of health (SDOH) in the clinical practice of cardiovascular disease (CVD), the tools available to assess SDOH have not been systematically investigated. We conducted a scoping review for tools to assess SDOH and comprehensively evaluated how these tools could be applied in the field of CVD.

METHODS AND RESULTS

We conducted a systematic literature search of PubMed and Embase databases on July 25, 2023. Studies that evaluated an SDOH screening tool with CVD as an outcome or those that explicitly sampled or included participants based on their having CVD were eligible for inclusion. In addition, studies had to have focused on at least one SDOH domain defined by Healthy People 2030. After screening 1984 articles, 58 articles that evaluated 41 distinct screening tools were selected. Of the 58 articles, 39 (67.2%) targeted populations with CVD, whereas 16 (27.6%) evaluated CVD outcome in non-CVD populations. Three (5.2%) compared SDOH differences between CVD and non-CVD populations. Of 41 screening tools, 24 evaluated multiple SDOH domains and 17 evaluated only 1 domain.

CONCLUSIONS

Our review revealed recent interest in SDOH in the field of CVD, with many useful screening tools that can evaluate SDOH. Future studies are needed to clarify the importance of the intervention in SDOH regarding CVD.

Addressing Structural Racism Through Public Policy Advocacy: A Policy Statement From the American Heart Association

During the COVID-19 pandemic, the American Heart Association created a new 2024 Impact Goal with health equity at its core, in recognition of the increasing health disparities in our country and the overwhelming evidence of the damaging effect of structural racism on cardiovascular and stroke health. Concurrent with the announcement of the new Impact Goal was the release of an American Heart Association presidential advisory on structural racism, recognizing racism as a fundamental driver of health disparities and directing the American Heart Association to advance antiracist strategies regarding science, business operations, leadership, quality improvement, and advocacy. This policy statement builds on the call to action put forth in our presidential advisory, discussing specific opportunities to leverage public policy in promoting overall well-being and rectifying those long-standing structural barriers that impede the progress that we need and seek for the health of all communities. Although this policy statement discusses difficult aspects of our past, it is meant to provide a forward-looking blueprint that can be embraced by a broad spectrum of stakeholders who share the association's commitment to addressing structural racism and realizing true health equity.

Predictors of Incident Stroke and Subsequent Mortality Among a Sample of Veterans with Experience of Housing Instability

Homelessness is associated with poor health outcomes and early development of cardiovascular disease. This study investigated the correlates of incident stroke and its association with mortality among Veterans experiencing housing instability. Using a national sample of Veterans (n=565,608) with incident housing instability between 2014-2018, we compared characteristics of Veterans who did and did not experience incident stroke and conducted logistic regressions to assess two outcomes: incident stroke and mortality. Almost four percent experienced a first stroke and were more frequently male, older than 55 years, Black, and non-Hispanic. A higher rate of mortality was observed among those with a first stroke compared with those with no stroke (17.6% vs. 10.8%), although the difference was not statistically significant. Incident stroke was associated with triple the odds of death among unstably-housed Veterans compared with those who did not have an incident stroke. Implications include the need to screen and monitor for stroke risk among Veterans with experience of housing instability, particularly for those who are older.

Housing conditions, cooking fuels, and health-related quality of life among rural middle-aged and elderly in northwest China: A ten-year balanced panel study

To investigate the impacts of improving housing conditions and transitioning to clean cooking fuels on health-related quality of life (HRQOL) among middle-aged and elderly populations in rural China.

METHODS

Using a 10-year longitudinal follow-up study, we examined changes in housing conditions, cooking fuel use, and HRQOL among 690 Chinese adults aged 45 above in rural areas. HRQOL was assessed using the European Quality of Life-5 Dimensions 3 Levels (EQ-5D-3L) questionnaire. Generalized estimating equations were utilized to analyze correlations between variables.

RESULTS

Using four-period balanced panel data of 10 years, there were significant differences in the self-reporting of mobility, self-care, usual activities, pain / discomfort and anxiety / depression in rural middle-aged and elderly people (p < 0.05). In terms of the EQ-5D index score and EQ-VAS score, showed a decreasing trend (p < 0.05). The housing area, housing material type, utilization of sanitary toilets, separation of housing and kitchen were separated and non-solid fuels used as cooking fuel were significantly associated with high HRQOL (p < 0.05).

CONCLUSIONS

This study found that good housing conditions and the use of non-solid cooking fuel had positive effects on health-related quality of life of middle-aged and elderly people in rural areas of northwest China.

Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.

The intersection of community socioeconomic factors with gender on outcomes after thoracic aortic surgery

OBJECTIVE

We evaluated the relationship among community socioeconomic factors (poverty, income, and education), gender, and outcomes in patients who underwent ascending aortic, root, and arch surgery.

METHODS

For 2634 consecutive patients, we associated patients' ZIP codes with community socioeconomic factors. The composite adverse outcome comprised death, persistent neurological injury, and renal failure necessitating dialysis at discharge. Multivariable analysis and Kaplan-Meier survival curves were used. Men and women from the full cohort and from the elective patients were propensity matched.

RESULTS

Median follow-up was 3.6 years (interquartile range, 1.2-9.3). Men lived in areas characterized by less poverty (P = .03), higher household income (P = .01), and more education (P = .02) than women; likewise, in the elective cohort, all community socioeconomic factors favored men (P ≤ .009). Female gender predicted composite adverse outcome (P = .006). In the propensity-matched women and men (820 pairs), the composite adverse outcome rates were 14.2% and 11%, respectively (P = .06). In 583 propensity-matched pairs of elective patients, men had less composite adverse outcome (P = .02), operative mortality (P = .04), and renal (P = .02) and respiratory failure (P = .0006). The 5- and 10-year survivals for these men and women were 74.2% versus 71.4% and 50.2% versus 48.2%, respectively (P = .06). All community socioeconomic factors in both propensity-matched groups nonsignificantly favored men.

CONCLUSIONS

This study is among the first to examine the association among community socioeconomic factors, gender, and outcomes in patients who undergo proximal aortic surgery. Female gender predicted a composite adverse outcome. In the elective patients, most adverse outcomes were significantly less in men. In the propensity-matched patients, all community socioeconomic factors favored men, although not significantly. Larger studies with patient-level socioeconomic information are needed.

Relationship of health-related social needs and hospital readmissions in patients following a hospitalization for atrial fibrillation

Atrial fibrillation (AF) has a high economic burden on the healthcare system with rehospitalizations as the most significant contributing factor necessitating an understanding of aspects related to hospitalizations to minimize economic costs and improve patient outcomes. Our study aims to assess whether all-cause 30-day hospital readmission following AF-specific hospitalization is associated with health-related social needs (HRSN) using the Nationwide Readmissions Database (NRD). All hospitalization data were abstracted from the 2015-2019 NRD, including hospitalizations for patients at least 18 years of age with a primary discharge diagnosis of AF. For each hospitalization, we identified secondary diagnoses for five HRSN domains including employment, family, housing, psychosocial, and socioeconomic status. Primary outcomes included all-cause 30-day readmission rates. Secondary outcomes included all-cause 90-day readmissions and diagnosis on readmissions. An estimated 1,807,460 index hospitalizations in the United States included a primary discharge diagnosis of AF. Of these, 97.3 % included a diagnosis in only one HRSN domain with the most frequently diagnosed HRSN domain being housing (54.5 %) followed by socioeconomic (29.4 %), family (10.0 %), employment (6.1 %), and psychosocial (2.8 %). Index hospitalizations that included any HRSN diagnosis had 2.2-times greater unadjusted odds of all-cause 30-day readmission (95 % CI: 2.1 to 2.3-times greater, p < .001). Index hospitalizations that included an HRSN diagnosis were associated with higher rates of 90-day readmission due to conduction disorder and COPD. In conclusion, there is a significant association between HRSN and hospital readmissions in patients with AF. Further research is required to explain the true nature of this relationship with a specific emphasis on housing insecurity.

Implementation of Prevention Science to Eliminate Health Care Inequities in Achieving Cardiovascular Health: A Scientific Statement From the American Heart Association

Prevention of cardiovascular and related diseases is foundational to attaining ideal cardiovascular health to improve the overall health and well-being of individuals and communities. Social determinants of health and health care inequities adversely affect ideal cardiovascular health and prevention of disease. Achieving optimal cardiovascular health in an effective and equitable manner requires a coordinated multidisciplinary and multilayered approach. In this scientific statement, we examine barriers to ideal cardiovascular health and its related conditions in the context of leveraging existing resources to reduce health care inequities and to optimize the delivery of preventive cardiovascular care. We systematically discuss (1) interventions across health care environments involving direct patient care, (2) leveraging health care technology, (3) optimizing multispecialty/multiprofession collaborations and interventions, (4) engaging local communities, and (5) improving the community environment through health-related government policies, all with a focus on making ideal cardiovascular health equitable for all individuals.

Neighborhood Characteristics and Elevated Blood Pressure in Older Adults

Importance

The local environment remains an understudied contributor to elevated blood pressure among older adults. Untargeted approaches can identify neighborhood conditions interrelated with racial segregation that drive hypertension disparities.

Objective

To evaluate independent associations of sociodemographic, economic, and housing neighborhood factors with elevated blood pressure.

Design, Setting, and Participants

In this cohort study, the sample included Health and Retirement Study participants who had between 1 and 3 sets of biennial sphygmomanometer readings from 2006 to 2014 or 2008 to 2016. Statistical analyses were conducted from February 5 to November 30, 2021.

Exposures

Fifty-one standardized American Community Survey census tract variables (2005-2009).

Main Outcomes and Measures

Elevated sphygmomanometer readings over the study period (6-year period prevalence): a value of at least 140 mm Hg for systolic blood pressure and/or at least 90 mm Hg for diastolic blood pressure. Participants were divided 50:50 into training and test data sets. Generalized estimating equations were used to summarize multivariable associations between each neighborhood variable and the period prevalence of elevated blood pressure, adjusting for individual-level covariates. Any neighborhood factor associated (Simes-adjusted for multiple comparisons P ≤ .05) with elevated blood pressure in the training data set was rerun in the test data set to gauge model performance. Lastly, in the full cohort, race- and ethnicity-stratified associations were evaluated for each identified neighborhood factor on the likelihood of elevated blood pressure.

Results

Of 12 946 participants, 4565 (35%) had elevated sphygmomanometer readings (median [IQR] age, 68 [63-73] years; 2283 [50%] male; 228 [5%] Hispanic or Latino, 502 [11%] non-Hispanic Black, and 3761 [82%] non-Hispanic White). Between 2006 and 2016, a lower likelihood of elevated blood pressure was observed (relative risk for highest vs lowest tertile, 0.91; 95% CI, 0.86-0.96) among participants residing in a neighborhood with recent (post-1999) in-migration of homeowners. This association was precise among participants with non-Hispanic White and other race and ethnicity (relative risk, 0.91; 95% CI, 0.85-0.97) but not non-Hispanic Black participants (relative risk, 0.97; 95% CI, 0.85-1.11; P = .48 for interaction) or Hispanic or Latino participants (relative risk, 0.84; 95% CI, 0.65-1.09; P = .78 for interaction).

Conclusions and Relevance

In this cohort study of older adults, recent relocation of homeowners to a neighborhood was robustly associated with reduced likelihood of elevated blood pressure among White participants but not their racially and ethnically marginalized counterparts. Our findings indicate that gentrification may influence later-life blood pressure control.