Relation of Living in a "Food Desert" to Recurrent Hospitalizations in Patients With Heart Failure

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data

BACKGROUND

Racial disparities in COVID-19 incidence and outcomes have been widely reported. Non-Hispanic Black patients endured worse outcomes disproportionately compared with non-Hispanic White patients, but the epidemiological basis for these observations was complex and multifaceted.

OBJECTIVE

This study aimed to elucidate the potential reasons behind the worse outcomes of COVID-19 experienced by non-Hispanic Black patients compared with non-Hispanic White patients and how these variables interact using an explainable machine learning approach.

METHODS

In this retrospective cohort study, we examined 28,943 laboratory-confirmed COVID-19 cases from the OneFlorida Research Consortium's data trust of health care recipients in Florida through April 28, 2021. We assessed the prevalence of pre-existing comorbid conditions, geo-socioeconomic factors, and health outcomes in the structured electronic health records of COVID-19 cases. The primary outcome was a composite of hospitalization, intensive care unit admission, and mortality at index admission. We developed and validated a machine learning model using Extreme Gradient Boosting to evaluate predictors of worse outcomes of COVID-19 and rank them by importance.

RESULTS

Compared to non-Hispanic White patients, non-Hispanic Blacks patients were younger, more likely to be uninsured, had a higher prevalence of emergency department and inpatient visits, and were in regions with higher area deprivation index rankings and pollutant concentrations. Non-Hispanic Black patients had the highest burden of comorbidities and rates of the primary outcome. Age was a key predictor in all models, ranking highest in non-Hispanic White patients. However, for non-Hispanic Black patients, congestive heart failure was a primary predictor. Other variables, such as food environment measures and air pollution indicators, also ranked high. By consolidating comorbidities into the Elixhauser Comorbidity Index, this became the top predictor, providing a comprehensive risk measure.

CONCLUSIONS

The study reveals that individual and geo-socioeconomic factors significantly influence the outcomes of COVID-19. It also highlights varying risk profiles among different racial groups. While these findings suggest potential disparities, further causal inference and statistical testing are needed to fully substantiate these observations. Recognizing these relationships is vital for creating effective, tailored interventions that reduce disparities and enhance health outcomes across all racial and socioeconomic groups.

Socio-economic inequalities and heart failure morbidity and mortality: A systematic review and data synthesis

Socio-economic status (SES) has been associated with incident and prevalent heart failure (HF), as well as its morbidity and mortality. However, the precise nature of the relationship between SES and HF remains unclear due to inconsistent data. This study aims to provide a comprehensive assessment and data synthesis of the relationship between SES and HF morbidity and mortality. We performed a systematic search and data synthesis using six databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines. The included studies comprised observational studies that reported on HF incidence and prevalence, HF hospitalizations, worsening HF (WHF) and all-cause mortality, as well as treatment options (medical, device and advanced HF therapies). SES was measured on both individual and area levels, encompassing single (e.g., income, education, employment, social risk score, living conditions and housing characteristics) and composite indicators. Among the 4124 studies screened, 79 were included, with an additional 5 identified through cross-referencing. In the majority of studies, a low SES was associated with an increased HF incidence (72%) and prevalence (75%). For mortality, we demonstrated that low SES was associated with increased mortality in 45% of the studies, with 18% of the studies showing mixed results (depending on the indicator, gender or follow-up) and 38% showing non-significant results. Similar patterns were observed for the association between SES, WHF, medical therapy prescriptions and the utilization of devices and advanced HF therapies. There was no clear pattern in the used SES indicators and HF outcomes. This systematic review, using contemporary data, shows that while socio-economic disparity may influence HF incidence, management and subsequent adverse events, these associations are not uniformly predictive. Our review highlights that the impact of SES varies depending on the specific indicators used, reflecting the complexity of its influence on health disparities. Assessment and recognition of SES as an important risk factor can assist clinicians in early detection and customizing HF treatment, while also aiding policymakers in optimizing resource allocation.

WEIRD and non-consensual food deserts and swamps: A scoping review of operational definitions

The aim of the present study was to critically analyze operational definitions of food deserts and food swamps included in empirical studies published in peer-reviewed journals. A scoping review was conducted following the recommendations of the Joanna Briggs Institute and PRISMA Extension for Scoping Reviews. A search of the scientific literature was performed on August 2023 to identify empirical studies including operational definitions of food deserts and/or food swamps in three databases: Scopus, PubMed, and Scielo. A total of 932 scientific articles were identified in the three databases, from which 157 articles, published between 2002 and 2023, were included in the review. The included studies were mainly conducted in WEIRD (Western, Educated, Industrilaized, Rich and Democractic) countries. They presented a total of 107 operational definitions of food deserts and 30 operational definitions of food swamps. Large heterogeneity in the operational definitions of food deserts and food swamps was found. Published studies differed in all the elements of the operational definitions analyzed in the present work. Results stress the need for standardization and the development of more objective and multivariate continuous measures of physical food accessibility that reflect the complexity of modern food environments globally. A series of recommendations to advance food environment research are derived.

Association of Food Desert Residence and 5-Year Mortality in Lung Cancer Patients Undergoing Resection

INTRODUCTION

Food desert (FD) residence has emerged as a risk factor for poor outcomes in breast, colon and esophageal cancers. The purpose of this retrospective study was to examine FD residence as an associated risk factor in nonsmall cell lung cancer (NSCLC) patients treated with anatomic lung resection (ALR).

METHODS

All consecutive ALRs for stage I-III NSCLC from January 2015 to December 2017 at a single institution were reviewed. The primary exposure of interest was FD residence as defined by the United States Department of Agriculture. The primary outcome was 5-y overall mortality. Secondary outcomes were 30-d complications and 1- and 3-y mortality. Cox proportional hazard analysis was used to model factors associated with each outcome, adjusted for covariates.

RESULTS

A total of 348 ALRs were included, with 101 (29%) patients residing in an FD. In the unadjusted Cox model, those residing in FD had an associated lower 5-year mortality risk compared to those not residing in an FD (hazard ratio = 0.56, 95% confidence interval (0.33-0.97); P = 0.04). That association was not statistically significant once adjusted for covariates (hazard ratio = 0.59, 95% confidence interval (0.34-1.04); P = 0.07).

CONCLUSIONS

In this study, FD residence was not associated with an increase in the risk of 5-y mortality. Selection bias of patients deemed healthy enough to undergo surgery may have mitigated the negative association of FD residence demonstrated in other cancers. Future work will evaluate all NSCLC patients undergoing treatments at our institution to further evaluate FDs as a risk factor for worse outcomes.

Food Environments and Cardiovascular Disease: Evidence From the Health and Retirement Study

INTRODUCTION

Residential food environments are one of the important determinants of cardiovascular health. However, past literature has been limited by short-term follow-ups, time-invariant environmental measurements at baseline, and/or not investigating both healthy and unhealthy aspects of the food environment. This study examines the effects of time-varying healthy and unhealthy food environments on incident cardiovascular disease (CVD) over 10 years, extracting data from the Health and Retirement Study (2006-2016; N=10,413).

METHODS

Cox proportional hazards modeling was performed with inverse probability weighting to assess the association between time-varying food environmental measures (i.e., densities of grocery stores, supercenters/club stores, full-service restaurants, and fast-food restaurants) and incident CVD over 10 years. Education level and race/ethnicity were tested as potential moderators. Analyses were conducted in 2022-2023.

RESULTS

Race/ethnicity had a significant interaction effect with supercenters/club stores and indicated that a 1-standard-deviation increase in the density of supercenters/club stores was associated with a 6%-8% lower risk of incident CVD in non-Hispanic Black (HR=0.78, 95% CI=0.70-0.87) and Hispanic older adults (HR=0.69, 95% CI=0.50-0.96), but not non-Hispanic White older adults. Additionally, education had a significant interaction effect with full-service restaurants, indicating that a 1-standard-deviation increase in the density of full-service restaurants was associated with a 10% lower risk of incident CVD in individuals with 13+ years of schooling, but not those with 0-12 years of schooling.

CONCLUSIONS

Findings suggest that public policymakers should be aware of the benefits and nuances of varying food environment components as they can contribute to positive or negative cardiovascular health.

Food desert residence has limited impact on veteran fecal microbiome composition: a U.S. Veteran Microbiome Project study

IMPORTANCE

Social and economic inequities can have a profound impact on human health. The inequities could result in alterations to the gut microbiome, an important factor that may have profound abilities to alter health outcomes. Moreover, the strong correlations between social and economic inequities have been long understood. However, to date, limited research regarding the microbiome and mental health within the context of socioeconomic inequities exists. One particular inequity that may influence both mental health and the gut microbiome is living in a food desert. Persons living in food deserts may lack access to sufficient and/or nutritious food and often experience other inequities, such as increased exposure to air pollution and poor access to healthcare. Together, these factors may confer a unique risk for microbial perturbation. Indeed, external factors beyond a food desert might compound over time to have a lasting effect on an individual's gut microbiome. Therefore, adoption of a life-course approach is expected to increase the ecological validity of research related to social inequities, the gut microbiome, and physical and mental health.

Supplemental Nutrition Assistance Program Education reductions during COVID-19 may have exacerbated health inequities

OBJECTIVE

Describe, and assess disparities in, the changes in Supplemental Nutrition Assistance Program Education (SNAP-Ed) that occurred the year before vs. the year when COVID-19 restrictions were implemented.

DESIGN

Observational study comparing reach, intensity, and dose of California Local Health Department (LHD) SNAP-Ed interventions in Federal Fiscal years 2019 and 2020 (FFY19, FFY20).

ANALYSIS

Student t-tests determined significance of differences in the number of Direct Education (DE) programs, Policy, Systems and Environmental change (PSE) sites, people reached, and intervention intensity and dose between FFY19 and FFY20 using data reported online by LHDs. Linear regression assessed associations between census tract-level characteristics (urbanicity; percentages of population with income <185% of federal poverty level, under 18 years of age, and belonging to various racial/ethnic groups; and California Healthy Places Index) and changes in number of DE programs, PSE sites, people reached, and intervention dose between FFY19 and FFY20.

RESULTS

From FFY19 to FFY20, the number of DE programs, PSE sites, people reached, and census tract-level intervention intensity and dose decreased. Higher census tract poverty, higher proportions of Black and Latino residents, and less healthy neighborhood conditions were associated with greater decreases in some intervention characteristics including PSE sites, PSE reach, DE programs, and DE dose.

CONCLUSIONS AND IMPLICATIONS

These reductions in LHD SNAP-Ed interventions indicate reduced access to education and environments that support healthy eating and obesity prevention during a time when this support was especially needed to reduce risk of COVID-19 infection and complications. Disproportionately reduced access, may have worsened health disparities in already-disadvantaged communities. Assuring maintenance of SNAP-Ed interventions, especially in disadvantaged communities, should be a priority during public health emergencies.

The association between social determinants of health and patient-centred outcomes in adults with heart failure with reduced ejection fraction

AIMS

To explore the associations between social determinants of health and patient-centred outcomes among adults with chronic heart failure with reduced ejection fraction.

DESIGN

Cross-sectional online self-report survey.

METHODS

A survey assessing social determinants of health (demographics, socio-economic position, affordability of care and social support) and patient-centred outcomes, including the Kansas City Cardiomyopathy Questionnaire-12 and validated measures of medication adherence, treatment satisfaction, treatment burden and mental health, was completed by 512 adults with chronic heart failure with a reduced ejection fraction between 06 March and 29 June 2020. Multivariable analyses included linear and logistic regression.

RESULTS

Female gender, having a care partner, and being offered financial assistance with medications were associated with worse health status, while perceiving medication as affordable and being married were associated with better health status. Females and having Medicaid, dual Medicaid/Medicare or no medical insurance were associated with a higher likelihood of depression, and non-white race/ethnicity was associated with less depression. Medication adherence was lower in patients having a care partner and offered financial assistance. Patients being offered financial and medication management assistance were more likely to be overwhelmed by the treatment burden, whereas those having some college education were less so.

CONCLUSIONS

Social determinants of health are associated with patients' disease-specific health status, mental health and treatment satisfaction and burden. These findings underscore the importance of assessing social determinants of health in clinical practice and the need for developing and testing novel strategies to determine whether they improve patients' health.

IMPACT

The relationship between social determinants of health- and patient-centred outcomes was assessed; affordability of care and social support factors were most strongly associated with outcomes for patients with chronic heart failure and reduced ejection fraction, underscoring the importance of assessing social determinants of health in routine clinical care.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Social determinants of health data could potentially inform care delivery for patients with heart failure and reduced ejection fraction by helping to identify those who require additional support to manage their symptoms, access care and adhere to treatment. Social support and affordability of treatment were associated with most patient-centred outcomes, suggesting these factors may provide clinicians with an indicator of a patient's level of general well-being that could be assessed during routine follow-up care.

REPORTING METHOD

This research followed the STROBE checklist for cross-sectional studies.

PATIENT OR PUBLIC CONTRIBUTION

Adults who have heart failure with reduced ejection fraction that consented to participate in the study provided the data used for all analyses reported on in the manuscript. Service users, caregivers or members of the public had no involvement in the study.

Food Deserts Increase Readmission After Esophagectomy for Cancer: A Multi-institutional Study

BACKGROUND

Food deserts are low-income census tracts with poor access to supermarkets and are associated with worse outcomes in breast, colon, and a small number of esophageal cancer patients. This study investigated residency in food deserts on readmission rates in a multi-institutional cohort of esophageal cancer patients undergoing trimodality therapy.

METHODS

A retrospective review of patients who underwent trimodality therapy at 6 high-volume institutions from January 2015 to July 2019 was performed. Food desert status was defined by the United States Department of Agriculture by patient ZIP Code. The primary outcome was 30-day readmission after esophagectomy. Multilevel, multivariable logistic regression was used to model readmission on food desert status adjusted for diabetes, insurance type, length of stay, and any complication, treating the institution as a random factor.

RESULTS

Of the 453 records evaluated, 425 were included in the analysis. Seventy-three patients (17.4%) resided in a food desert. Univariate analysis demonstrated food desert patients had significantly increased 30-day readmission. No differences were seen in length of stay, complications, or 30-day mortality. In the adjusted logistic regression model, residing in a food desert remained a significant risk factor for readmission (odds ratio, 2.11; 95% CI, 1.07-4.15). There were no differences in 30-day, 90-day, or 1-year mortality based on food desert status, although readmission was associated with worse 90-day and 1-year mortality.

CONCLUSIONS

Food desert residence was associated with 30-day readmission after esophagectomy in patients undergoing trimodality treatment for esophageal cancer in this multi-institutional population. Identification of patients residing in a food desert may allow surgeons to focus preventative interventions during treatment and postoperatively to improve outcomes.

Translating Intersectionality to Fair Machine Learning in Health Sciences

Fairness approaches in machine learning should involve more than assessment of performance metrics across groups. Shifting the focus away from model metrics, we reframe fairness through the lens of intersectionality, a Black feminist theoretical framework that contextualizes individuals in interacting systems of power and oppression.

Residing in a Food Desert and Adverse Cardiovascular Events in US Veterans With Established Cardiovascular Disease

Residents living in a "food desert" are known to be at a higher risk for developing cardiovascular disease (CVD). However, national-level data regarding the influence of residing in a food desert in patients with established CVD is lacking. Data from veterans with established atherosclerotic CVD who received outpatient care in the Veterans Health Administration system between January 2016 and December 2021 were obtained, with follow-up information collected until May 2022 (median follow-up: 4.3 years). A food desert was defined using the United States Department of Agriculture criteria, and census tract data were used to identify Veterans in these areas. All-cause mortality and the occurrence of major adverse cardiovascular events (MACEs; a composite of myocardial infarction/stroke/heart failure/all-cause mortality) were evaluated as the co-primary end points. The relative risk for MACE in food desert areas was evaluated by fitting multivariable Cox models adjusted for age, gender, race, ethnicity, and median household income, with food desert status as the primary exposure. Of the 1,640,346 patients (mean age 72 years, women 2.7%, White 77.7%, Hispanic 3.4%), 25,7814 (15.7%) belonged to the food desert group. Patients residing in food deserts were younger; more likely to be Black (22% vs 13%)or Hispanic (4% vs 3.5%); and had a higher prevalence of diabetes mellitus (52.7% vs 49.8%), chronic kidney disease (31.8% vs 30.4%,) and heart failure (25.6% vs 23.8%). Adjusted for covariates, food desert patients had a higher risk of MACE (hazard ratio 1.040 [1.033 to 1.047]; p <0.001) and all-cause mortality (hazard ratio 1.032 [1.024 to 1.039]; p <0.001). In conclusion, we observed that a large proportion of US veterans with established atherosclerotic CVD reside in food desert census tracts. Adjusting for age, gender, race, and ethnicity, residing in food deserts was associated with a higher risk of adverse cardiac events and all-cause mortality.

Achieving Equity in Hospital Performance Assessments Using Composite Race-Specific Measures of Risk-Standardized Readmission and Mortality Rates for Heart Failure

BACKGROUND

The contemporary measures of hospital performance for heart failure hospitalization and 30-day risk-standardized readmission rate (RSRR) and risk-standardized mortality rate (RSMR) are estimated using the same risk adjustment model and overall event rate for all patients. Thus, these measures are mainly driven by the care quality and outcomes for the majority racial and ethnic group, and may not adequately represent the hospital performance for patients of Black and other races.

METHODS

Fee-for-service Medicare beneficiaries from January 2014 to December 2019 hospitalized with heart failure were identified. Hospital-level 30-day RSRR and RSMR were estimated using the traditional race-agnostic models and the race-specific approach. The composite race-specific performance metric was calculated as the average of the RSRR/RMSR measures derived separately for each race and ethnicity group. Correlation and concordance in hospital performance for all patients and patients of Black and other races were assessed using the composite race-specific and race-agnostic metrics.

RESULTS

The study included 1 903 232 patients (75.7% White [n=1 439 958]; 14.5% Black [n=276 684]; and 9.8% other races [n=186 590]) with heart failure from 1860 hospitals. There was a modest correlation between hospital-level 30-day performance metrics for patients of White versus Black race (Pearson correlation coefficient: RSRR=0.42; RSMR=0.26). Compared with the race-agnostic RSRR and RSMR, composite race-specific metrics for all patients demonstrated stronger correlation with RSRR (correlation coefficient: 0.60 versus 0.74) and RSMR (correlation coefficient: 0.44 versus 0.51) for Black patients. Concordance in hospital performance for all patients and patients of Black race was also higher with race-specific (versus race-agnostic) metrics (RSRR=64% versus 53% concordantly high-performing; 61% versus 51% concordantly low-performing). Race-specific RSRR and RSMR metrics (versus race-agnostic) led to reclassification in performance ranking of 35.8% and 39.2% of hospitals, respectively, with better 30-day and 1-year outcomes for patients of all race groups at hospitals reclassified as high-performing.

CONCLUSIONS

Among patients hospitalized with heart failure, race-specific 30-day RSMR and RSRR are more equitable in representing hospital performance for patients of Black and other races.

Revisiting fruit and vegetable determinants: Evidence from Latin America

Introduction

In the past decade, the public health discussion regarding fruit and vegetable (FV) consumption has been dominated by economic and physical accessibility.

Methods

Using an online survey in four Latin American countries, we applied a set of tobit models to compare the determinants of desirable and current consumption of FV levels for satisfied and unsatisfied respondents.

Results

We found that, even when consuming less than five FV portions a day, most of the respondents were satisfied with their current FV consumption level. Satisfied respondents consumed significantly more FV than unsatisfied ones. In general, the desirable and current consumption of FV levels were associated with different sets of determinants, while years of education were relevant in both cases. Finally, in a hypothetical case where unsatisfied respondents would not face any physical or economic access restrictions, unsatisfied respondents would not reach the goal of five FV portions a day.

Discussion

Assuming that physical and economic access improved, this would automatically increase FV to reach the five-a-day recommendation may be inaccurate in some cases. We also need to take mental access into account. We may ask how to improve the desirable level of FVs and then how to close the gap between the current and desirable FV levels.

Influence of Unhealthy Food Environment on Premature Cardiovascular Disease Mortality in Brazil: An Ecologic Approach

INTRODUCTION

Cardiovascular disease is the main cause of general and premature death of adults aged 30-69 years in Brazil and around the world. Unhealthy food environments have been implicated as one of the factors associated with cardiovascular disease morbimortality because they affect people's health conditions and nutrition. This study aims to explore the association between unhealthy food environments (deserts/swamps) and premature cardiovascular disease mortality in the Brazilian population.

METHODS

This is an ecologic study using data from 5,558 Brazilian municipalities in 2016. The cardiovascular disease mortality data were obtained from the Mortality Information System of the Ministry of Health. The study on mapping food deserts in Brazil, developed by the Interministerial Chamber of Food and Nutrition Security, was used to evaluate the physical dimension of food access. The authors calculated the standardized rates of premature general and specific cardiovascular disease (stroke and ischemic heart disease) causes of death in the same period. To characterize food environments, the density of unprocessed and ultraprocessed foods per 10,000 population in tertiles was used. Crude and adjusted negative binomial regression models were used to study the associations of interest.

RESULTS

After the necessary adjustments (human development index, gross domestic product per capita, unemployment rate, Gini index and Family Health Strategy coverage), it was found that municipalities with low unprocessed food supply were at the highest risk of increased mortality among women with ischemic heart disease (rate ratio first tertile: 1.08 [95% CI=1.01, 1.15]). Conversely, the municipalities where there was a greater offer of ultraprocessed foods showed a higher risk of death from cardiovascular diseases (rate ratio second tertile: 1.17 [95% CI=1.12, 1.22]; rate ratio third tertile: 1.20 [95% CI=1.14, 1.26]), from strokes (rate ratio second tertile: 1.19 [95% CI=1.13, 1.25]; rate ratio third tertile: 1.22 [95% CI=1.15, 1.30]), and ischemic heart disease (rate ratio second tertile: 1.19 [95% CI=1.12, 1.25]; rate ratio third tertile: 1.22 [95% CI=1.13, 1.29]).

CONCLUSIONS

This study's findings show an increase in the risk of cardiovascular disease, stroke, and ischemic heart disease mortality, especially in the municipalities where there was a greater offer of ultraprocessed foods. Initiatives aiming to minimize the effects of these food environments are urgently needed in the Brazilian context.

Measures of Food Inadequacy and Cardiovascular Disease Risk in Black Individuals in the US From the Jackson Heart Study

Importance

Food insecurity disproportionately affects Black individuals in the US. Its association with coronary heart disease (CHD), heart failure (HF), and stroke is unclear.

Objective

To evaluate the associations of economic food insecurity and proximity with unhealthy food options with risk of incident CHD, HF, and stroke and the role of diet quality and stress.

Design, Setting, and Participants

This cohort study was a time-to-event analysis of 3024 Black adult participants in the Jackson Heart Study (JHS) without prevalent cardiovascular disease (CVD) at visit 1 (2000-2004). Data analysis was conducted from September 1, 2020, to November 30, 2021.

Exposures

Economic food insecurity, defined as receiving food stamps or self-reported not enough money for groceries, and high frequency of unfavorable food stores (>2.5 unfavorable food stores [fast food restaurants, convenience stores] within 1 mile).

Main Outcomes and Measures

The main outcomes were incident CVD including incident CHD, stroke, and HF with preserved ejection fraction and with reduced ejection fraction (HFrEF). During a median follow-up of 13.8 (IQR, 12.8-14.6) years, the associations of measures of food inadequacy with incident CVD (CHD, stroke, and HF) were assessed using multivariable Cox proportional hazards regression models.

Results

Among the 3024 study participants, the mean (SD) age was 54 (12) years, 1987 (66%) were women, 630 (21%) were economically food insecure, and 50% (by definition) had more than 2.5 unfavorable food stores within 1 mile. In analyses adjusted for cardiovascular risk and socioeconomic factors, economic food insecurity was associated with higher risk of incident CHD (hazard ratio [HR], 1.76; 95% CI, 1.06-2.91) and incident HFrEF (HR, 2.07; 95% CI, 1.16-3.70), but not stroke. These associations persisted after further adjustment for diet quality and perceived stress. In addition, economic food insecurity was associated with higher high-sensitivity C-reactive protein and renin concentrations. High frequency of unfavorable food stores was not associated with CHD, HF, or stroke.

Conclusions and Relevance

The findings of this cohort study suggest that economic food insecurity, but not proximity to unhealthy food options, was associated with risk of incident CHD and HFrEF independent of socioeconomic factors, traditional cardiovascular risk factors, diet quality, perceived stress, and other health behaviors. Economic food insecurity was also associated with markers of inflammation and neurohormonal activation. Economic food insecurity may be a promising potential target for the prevention of CVD.

The Situation-Specific Theory of Heart Failure Self-care: An Update on the Problem, Person, and Environmental Factors Influencing Heart Failure Self-care

Many studies of heart failure (HF) self-care have been conducted since the last update of the situation-specific theory of HF self-care.

OBJECTIVE

The aim of this study was to describe the manner in which characteristics of the problem, person, and environment interact to influence decisions about self-care made by adults with chronic HF.

METHODS

This study is a theoretical update. Literature on the influence of the problem, person, and environment on HF self-care is summarized.

RESULTS

Consistent with naturalistic decision making, the interaction of the problem, person, and environment creates a situation in which a self-care decision is needed. Problem factors influencing decisions about HF self-care include specific conditions such as cognitive impairment, diabetes mellitus, sleep disorders, depression, and symptoms. Comorbid conditions make HF self-care difficult for a variety of reasons. Person factors influencing HF self-care include age, knowledge, skill, health literacy, attitudes, perceived control, values, social norms, cultural beliefs, habits, motivation, activation, self-efficacy, and coping. Environmental factors include weather, crime, violence, access to the Internet, the built environment, social support, and public policy.

CONCLUSIONS

A robust body of knowledge has accumulated on the person-related factors influencing HF self-care. More research on the contribution of problem-related factors to HF self-care is needed because very few people have only HF and no other chronic conditions. The research on environment-related factors is particularly sparse. Seven new propositions are included in this update. We strongly encourage investigators to consider the interactions of problem, person, and environmental factors affecting self-care decisions in future studies.

Influence of Neighborhood Conditions on Recurrent Hospital Readmissions in Patients with Heart Failure: A Cohort Study

PURPOSE

This study examined how certain aspects of residential neighborhood conditions (ie, observed built environment, census-based area-level poverty, and perceived disorder) affect readmission in urban patients with heart failure.

METHODS

A total of 400 patients with heart failure who were discharged alive from an urban-university teaching hospital were enrolled. Data were collected about readmissions during a 2-year follow-up. The impact of residential neighborhood conditions on readmissions was examined with adjustment for 7 blocks of covariates: 1) patient demographic characteristics; 2) comorbidities; 3) clinical characteristics; 4) depression; 5) perceived stress; 6) health behaviors; and 7) hospitalization characteristics.

RESULTS

A total of 83.3% of participants were readmitted. Participants from high-poverty census tracts (≥20%) were at increased risk of readmission compared with those from census tracts with <10% poverty (hazard ratio [HR]: 1.53; 95% confidence interval: 1.03-2.27; P < .05) when adjusted for demographic characteristics. None of the built environmental or perceived neighborhood conditions were associated with the risk of readmission. The poverty-related risk of readmission was reduced to nonsignificance after including diabetes (HR: 1.33) and hypertension (HR: 1.35) in the models.

CONCLUSIONS

The effect of high poverty is partly explained by high rates of hypertension and diabetes in these areas. Improving diabetes and blood pressure control or structural aspects of impoverished areas may help reduce hospital readmissions.

Unequitable Heart Failure Therapy for Black, Hispanic and American-Indian Patients

Despite the high prevalence of heart failure among Black and Hispanic populations, patients of colour are frequently under-prescribed guideline-directed medical therapy (GDMT) and American-Indian populations are not well characterised. Clinical inertia, financial toxicity, underrepresentation in trials, non-trustworthy medical systems, bias and structural racism are contributing factors. There is an urgent need to develop evidence-based strategies to increase the uptake of GDMT for heart failure in patients of colour. Postulated strategies include prescribing all GDMT upon first encounter, aggressive outpatient uptitration of GDMT, intervening upon social determinants of health, addressing bias and racism through changing processes or policies that unfairly disadvantage patients of colour, engagement of stakeholders and implementation of national quality improvement programmes.

Residing in a food desert is associated with an increased risk of readmission following esophagectomy for cancer

Background

Nutritional status is related to treatment outcomes for esophageal cancer. Residing in a food desert (FD) has been associated with worse outcomes in breast and colon cancer. We assessed the association of residing in a FD on 30-day outcomes of esophageal cancer patients who received tri-modality therapy.

Methods

A retrospective review of patients who underwent esophagectomy (1/2015 to 7/2020, in New Hampshire, USA) was performed. Patients were excluded if they did not undergo neo-adjuvant treatment, required treatment outside of standard Chemoradiotherapy for Oesophageal Cancer Followed by Surgery Study (CROSS) protocol, or lacked both pre and post neo-adjuvant treatment computed tomography (CT) scans for review. Demographics, nutrition parameters, treatment characteristics, 30-day complications and 90-day mortality were reviewed. FD status was defined by the United States Department of Agriculture (USDA) Food Access Research Atlas and cross-referenced with patients' home zip code. Readmission was defined as readmission to any hospital for any reason within 30-day of discharge. Univariable analysis was conducted using Student's t-test or Wilcoxon rank-sum for continuous variables, and Fisher's exact test for categorical variables. Multivariable logistic regression was then used to model readmission status on FD status adjusted for measures statistically associated with readmission status at the P<0.10 in univariable analyses.

Results

Seventy-eight patients were included in the analysis. Overall pre-treatment prevalence of sarcopenia was 11.5% (9/78) and did not vary by FD status. Univariable analysis, demonstrated few significant differences between those who were readmitted and those who were not. On unadjusted analysis, patients who lived in a FD were 5 times more likely to be readmitted [5.16; 95% confidence interval (CI): 1.70-15.67] compared to those who did not. Residing in a FD remained a significant risk factor for readmission after adjustment for operative time, discharge to a rehabilitation facility and development of a grade III/IV complication [adjusted odds ratio (OR): 6.38; 95% CI: 1.45-28.08].

Conclusions

Our data suggest that residing in a FD is a prognostic factor for readmission after tri-modality therapy for esophageal cancer. Clinicians need to be aware that previously established nutritional markers may not completely capture nutritional status and living in a FD may significantly increase the risk of readmission in these patients.

HFSA Position Statement The Impact of Healthcare Disparities on Patients with Heart Failure

Heart Failure (HF) remains a condition associated with high morbidity, mortality, and associated costs. Although the number of medical and device-based therapies available to treat HF are expanding at a remarkable rate, disparities in the risk for incident HF and treatments delivered to patients are also of growing concern. These disparities span across racial and ethnic groups, socioeconomic status, and apply across the spectrum of HF from Stage A to Stage D. The complexity of HF risk and treatment is further impacted by the number of patients who experience the downstream impact of social determinants of health. The purpose of this document is to highlight the known healthcare disparities that exist in the care of patients with HF, and to provide a context for how clinicians and researchers should assess both biologic and social determinants of HF risk in vulnerable populations. Furthermore, this document will provide a framework for future steps that can be utilized to help diminish inequalities in access and clinical outcomes over time, and offer solutions to help reduce disparities within HF care.

Race, Place, And Structural Racism: A Review Of Health And History In Washington, D.C

Recent events have amplified the debilitating effects of systemic racism on the health of the United States. In an effort to improve population health and dismantle more than 400 years of racial injustice, retrospective examinations of policies, practices, and events that have sustained and continue to undergird racial hierarchy are necessary. In this historical review we feature Washington, D.C.-a city with a legacy of Black plurality. We begin with an overview of contemporary place-based health and socioeconomic disparities. To express the etiology of the trends and uncover opportunities to undo the damage, we reflect on the national landscape as well as on policies and events that socially, economically, and politically disenfranchised Black residents, yielding stark differences in health outcomes among Washington, D.C., populations. In the spirit of atonement in policy and practice, we hope that this approach will inspire policy makers and practitioners in communities across the nation to conduct similar examinations.

Disparities in access to food and chronic obstructive pulmonary disease (COPD)-related outcomes: a cross-sectional analysis

BACKGROUND

Millions of Americans are living in food deserts in the United States, however the role of the local food environment on COPD has not been studied. The aim of this study is to determine the association between food deserts and COPD-related outcomes.

METHOD

In this cross-sectional analysis we linked data collected from SPIROMICS (SubPopulations and InteRmediate Outcome Measures in COPD Study) between 2010 and 2015 and food desert data, defined as an underserved area that lacks access to affordable healthy foods, from the Food Access Research Atlas. COPD outcomes include percentage of predicted forced expiratory volume in one second (FEV1%), St. George's Respiratory Questionnaire (SGRQ), COPD Assessment Test (CAT), 6-min walk distance test (6MWD), exacerbations, and air trapping. We used generalized linear mixed models to evaluate the association between living in food deserts and respiratory outcomes, adjusting for age, gender, race, education, income, marital status, BMI, smoking status, pack years, and urban status RESULTS: Among 2713 participants, 22% lived in food deserts. Participants living in food deserts were less likely to be white and more likely to have a lower income than those who did not live in food deserts. In the adjusted model controlling for demographics and individual income, living in food deserts was associated lower FEV1% (β = - 2.51, P = 0.046), higher air trapping (β = 2.47, P = 0.008), worse SGRQ (β = 3.48, P = 0.001) and CAT (β = 1.20, P = 0.003) scores, and 56% greater odds of severe exacerbations (P = 0.004). Results were consistent when looking at food access alone, regardless of whether participants lived in low income areas.

CONCLUSIONS

Findings suggest an independent association between food desert and food access alone with COPD outcomes. Health program planning may benefit from addressing disparities in access to food.

Obesity under full fresh fruit and vegetable access conditions

There is no agreement regarding the role of fresh fruit and vegetables' affordability, accessibility and availability, or access in general, on obesity rates. In this article we investigated whether access to fresh fruit and vegetables is related to better biometric indicators such as weight and body mass index. Using mediation and matching methods and assuming that farmers and traditional market sellers have easy access to fruit and vegetables, we found that having better access is not associated to a reduction in weight or body mass index. Potential explanations for this result are that better access was not associated with fresh fruit and vegetables' consumption and fruit and vegetables' consumption was not associated with weight and body mass index. Also, fresh fruit and vegetables' sellers had a higher weight and body mass index compared to the rest of the population but, a similar weight and body mass index compared to people with their same educational level. Therefore, variations on weight and body mass index were more associated with educational level rather than with access. Access may not be the single story to explain fruit and vegetable consumption.

Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics

Objective

Initiatives to reduce neighborhood-based health disparities require access to meaningful, timely, and local information regarding health behavior and its determinants. We examined the validity of Twitter as a source of information for neighborhood-level analysis of dietary choices and attitudes.

Materials and Methods

We analyzed the “healthiness” quotient and sentiment in food-related tweets at the census tract level, and associated them with neighborhood characteristics and health outcomes. We analyzed keywords driving the differences in food healthiness between the most and least-affluent tracts, and qualitatively analyzed contents of a random sample of tweets.

Results

Significant, albeit weak, correlations existed between healthiness and sentiment in food-related tweets and tract-level measures of affluence, disadvantage, race, age, U.S. density, and mortality from conditions associated with obesity. Analyses of keywords driving the differences in food healthiness revealed foods high in saturated fat (eg, pizza, bacon, fries) were mentioned more frequently in less-affluent tracts. Food-related discussion referred to activities (eating, drinking, cooking), locations where food was consumed, and positive (affection, cravings, enjoyment) and negative attitudes (dislike, personal struggles, complaints).

Discussion

Tweet-based healthiness scores largely correlated with offline phenomena in the expected directions. Social media offer less resource-intensive data collection methods than traditional surveys do. Twitter may assist in informing local health programs that focus on drivers of food consumption and could inform interventions focused on attitudes and the food environment.

Conclusions

Twitter provided weak but significant signals concerning food-related behavior and attitudes at the neighborhood level, suggesting its potential usefulness for informing local health disparity reduction efforts.

Relation of Neighborhood Disadvantage to Heart Failure Symptoms and Hospitalizations

Residence in socioeconomically deprived neighborhoods may influence patient's health-related behaviors and overall health. We evaluated the association of neighborhood disadvantage on heart failure (HF) symptom burden and hospitalization rates. We characterized neighborhood deprivation in 359 HF subjects (age 56 ± 13 years, 52% black) in metropolitan Atlanta using the Area Deprivation Index (ADI). ANOVA was used to compare HF symptoms measured using the Kansas City Cardiomyopathy Questionnaire, and HF Self-Care Index across ADI tertiles. Zero-inflated Poisson regression was used to compare rates of recurrent HF hospitalization (HFH) across ADI tertiles. Subjects living in more deprived neighborhoods were more likely to be black, have Medicare or Medicaid insurance, and have a lower ejection fraction than those living in less deprived neighborhoods (all p ≤ 0.005). Subjects in more deprived neighborhoods had more severe HF symptoms (p < 0.001), but there was no difference in HF Self-Care Index scores across ADI tertiles. Subjects living in more deprived neighborhoods had a higher odds of being hospitalized for HF than subjects in less deprived neighborhoods. Once subjects had experienced a HFH, however, the association between ADI and the risk of recurrent HFH varied by racial group. In whites, increasing ADI was associated with a marginally decreased risk of recurrent HFH, while there was no association between ADI and recurrent HFH in blacks. In conclusion, patients with HF living in more deprived neighborhoods have greater symptom burden and are more likely to experience a HFH than those living in less deprived neighborhoods.

Excess 30-Day Heart Failure Readmissions and Mortality in Black Patients Increases With Neighborhood Deprivation

BACKGROUND

Longstanding racial disparities in heart failure (HF) outcomes exist in the United States, in part, due to social determinants of health. We examined whether neighborhood environment modifies the disparity in 30-day HF readmissions and mortality between Black and White patients in the Southeastern United States.

METHODS

We created a geocoded retrospective cohort of patients hospitalized for acute HF within Emory Healthcare from 2010 to 2018. Quartiles of the Social Deprivation Index characterized neighborhood deprivation at the census tract level. We estimated the relative risk of 30-day readmission and 30-day mortality following an index hospitalization for acute HF. Excess readmissions and mortality were estimated as the absolute risk difference between Black and White patients within each Social Deprivation Index quartile, adjusted for geographic clustering, demographic, clinical, and hospital characteristics.

RESULTS

The cohort included 30 630 patients, mean age 66 years, 48% female, 53% Black. Compared with White patients, Black patients were more likely to reside in deprived census tracts and have higher comorbidity scores. From 2010 to 2018, 29.4% of Black and 23.0% of White patients experienced either a 30-day HF readmission or 30-day death (P<0.001). Excess in composite 30-day HF readmissions and mortality for Black patients ranged from 3.9% (95% CI, 1.5%-6.3%; P=0.0002) to 6.8% (95% CI, 4.1%-9.5%; P<0.0001) across Social Deprivation Index quartiles. Accounting for traditional risk factors did not eliminate the Black excess in combined 30-day HF readmissions or mortality in any of the neighborhood quartiles.

CONCLUSIONS

Excess 30-day HF readmissions and mortality are present among Black patients in every neighborhood strata and increase with progressive neighborhood socioeconomic deprivation.

Understanding the Complexity of Heart Failure Risk and Treatment in Black Patients

Although care of patients with heart failure (HF) has improved in the past decade, important disparities in HF outcomes persist based on race/ethnicity. Age-adjusted HF-related cardiovascular disease death rates are higher for Black patients, particularly among young Black men and women whose rates of death are 2.6- and 2.97-fold higher, respectively, than White men and women. Similarly, the rate of HF hospitalization for Black men and women is nearly 2.5-fold higher when compared with Whites, with costs that are significantly higher in the first year after HF hospitalization. While the relative rate of HF hospitalization has improved for other race/ethnic minorities, the disparity in HF hospitalization between Black and White patients has not decreased during the last decade. Although access to care and socioeconomic status have been traditional explanations for the observed racial disparities in HF outcomes, contemporary data suggest that novel factors including genetic susceptibility as well as social determinants of health and implicit bias may play a larger role in health outcomes than previously appreciated. The purpose of this review is to describe the complex interplay of factors that influence racial disparities in HF incidence, prevalence, and disease severity, with a highlight on evolving knowledge that will impact the clinical care and address future research needs to improve HF disparities in Blacks.

Food deserts and cardiovascular health among young adults

OBJECTIVE

This study assesses the association between living in a food desert and cardiovascular health risk among young adults in the USA, as well as evaluates whether personal and area socioeconomic status moderates this relationship.

DESIGN

A cross-sectional analysis was performed using data from Wave I (1993-1994) and Wave IV (2008) from the National Longitudinal Study of Adolescent to Adult Health. Ordinary least squares regression models assessing the association between living in a food desert and cardiovascular health were performed. Mediation and moderation analyses assessed the degree to which this association was conditioned by area and personal socioeconomic status.

SETTING

Sample of respondents living in urban census tracts in the USA in 2008.

PARTICIPANTS

Young adults (n 8896) aged 24-34 years.

RESULTS

Net of covariates living in a food desert had a statistically significant association with cardiovascular health risk (range 0-14) (β = 0·048, P < 0·01). This association was partially mediated by area and personal socioeconomic status. Further analyses demonstrate that the adverse association between living in a food desert and cardiovascular health is concentrated among low socioeconomic status respondents.

CONCLUSIONS

The findings from this study suggest a complex interplay between food deserts and economic conditions for the cardiovascular health of young adults. Developing interventions that aim to improve health behaviour among lower-income populations may yield benefits for preventing the development of cardiovascular health problems.

Racial Differences in Diuretic Efficiency, Plasma Renin, and Rehospitalization in Subjects With Acute Heart Failure

BACKGROUND

Black patients have higher rates of hospitalization for acute heart failure than other race/ethnic groups. We sought to determine whether diuretic efficiency is associated with racial differences in risk for rehospitalization after acute heart failure.

METHODS

A post hoc analysis was performed on 721 subjects (age, 68±13 years; 22% black) enrolled in 3 acute heart failure clinical trials: ROSE-AHF (Renal Optimization Strategies Evaluation in Acute Heart Failure), DOSE-AHF (Diuretic Optimization Strategy Evaluation in Acute Decompensated Heart Failure), and CARRESS-HF (Cardiorenal Rescue Study in Acute Decompensated Heart Failure). Repeated-measures ANOVA was used to test for a race×time effect on measures of decongestion. Diuretic efficiency was calculated as net fluid balance per total furosemide equivalents. In a subset of subjects, Cox regression was used to examine the association between race and rehospitalization according to plasma renin activity (PRA).

RESULTS

Compared with nonblack patients, black patients were younger and more likely to have nonischemic heart failure. During the first 72 to 96 hours, there was greater fluid loss (P=0.001), decrease in NT-proBNP (N-terminal pro-B-type natriuretic peptide; P=0.002), and lower levels of PRA (P<0.0001) in black patients. Diuretic efficiency was higher in black than in nonblack patients (403 [interquartile range, 221-795] versus 325 [interquartile range, 154-698]; P=0.014). However, adjustment for baseline PRA attenuated the association between black race and diuretic efficiency. Over a median follow-up of 68 (interquartile range, 56-177) days, there was an increased risk of all-cause and heart failure-specific rehospitalization in nonblack patients with increasing levels of PRA, while the risk of rehospitalization was relatively constant across levels of PRA in black patients.

CONCLUSIONS

Higher diuretic efficiency in black patients with acute heart failure may be related to racial differences in activity of the renin-angiotensin-aldosterone system.

Serum ST2 and hospitalization rates in Caucasian and African American outpatients with heart failure

BACKGROUND

Limited data exist on the association between circulating suppression of tumorigenicity 2 (ST2) and recurrent hospitalizations and emergency department (ED) encounters in outpatients with heart failure (HF). In addition, data on ST2 in African American patients with HF are scarce.

METHODS

We evaluated 307 outpatients with HF (age, 57 ± 12 years; 64.2% men; 51.5% Caucasian, 45.6% African American; median ejection fraction, 35%; ischemic etiology, 41.4%). Median ST2 was 37.8 ng/mL (29.6-51.4).

RESULTS

After a median of 3.1 years, there were 584 hospitalizations (224 for HF) and 335 ED visits (80 for HF). Patients (N = 176; 57.3%) with elevated (>35 ng/mL) ST2 had 2-fold higher hospitalization rates in adjusted models (rate ratio [RR] 1.97; 95% CI 1.38-2.82; P < 0.001), driven by 3.5-fold higher HF hospitalization rates (adjusted RR 3.56; 95% CI 1.69-7.49; P < 0.001). These associations persisted after adjusting for baseline B-type natriuretic peptide levels. Findings were similar for elevated ST2 and ED visit rates. Elevated ST2 was associated with the composite of death or HF hospitalization (109 patients; 3-year estimate: 35.4%); risk was 5-fold higher in the first 6 months but declined gradually. The higher hospitalization rates and composite endpoint risk associated with elevated ST2 was similar in African Americans and Caucasians. In landmark analyses in a subset of patients, 6-month (N = 112) and 12-month (N = 149) changes in ST2 levels from baseline added prognostic information.

CONCLUSIONS

Elevated ST2 in outpatients with HF portends higher healthcare resources utilization and higher risk for accelerated disease progression, regardless of race, especially in the first 6 months.

Regional Variation in the Association of Poverty and Heart Failure Mortality in the 3135 Counties of the United States

Background There is significant geographical variation in heart failure (HF) mortality across the United States. County socioeconomic factors that influence these outcomes are unknown. We studied the association between county socioeconomic factors and HF mortality and compared it with coronary heart disease (CHD) mortality. Methods and Results This is a cross-sectional analysis of socioeconomic factors and mortality in HF and CHD across 3135 US counties from 2010 to 2015. County-level poverty, education, income, unemployment, health insurance status, and cause-specific mortality rates were collected from the Centers for Disease Control and Prevention and US Census Bureau databases. Poverty had the strongest correlation with both HF and CHD mortality, disproportionately higher for HF (r=0.48) than CHD (r=0.24). HF mortality increased by 5.2 deaths/100 000 for each percentage increase in county poverty prevalence in a frequency-weighted, demographic-adjusted, multivariate regression model. The greatest attenuation in the poverty regression coefficient (66.4%) was seen after adjustment for prevalence of diabetes mellitus and obesity. Subgroup analysis by census region showed that this relationship was the strongest in the South and weakest in the Northeast (6.1 versus 1.4 deaths/100 000 per 1% increase in county poverty in a demographics-adjusted model). Conclusions County poverty is the strongest socioeconomic factor associated with HF and CHD mortality, an association that is stronger with HF than with CHD and varied by census region. Over half of the association was explained by differences in the prevalence of diabetes mellitus and obesity across the counties. Health policies targeting improvement in these risk factors may address and possibly minimize health disparities caused by socioeconomic factors.