Neighborhood Poverty and Incident Heart Failure: an Analysis of Electronic Health Records from 2005 to 2018

Influence of Neighborhood Disadvantage and Individual Sociodemographic Conditions on Heart Failure Self-care

BACKGROUND

Residence in socioeconomically disadvantaged neighborhoods and individual sociodemographic conditions contribute to worse heart failure (HF) outcomes and may influence HF self-care. However, associations between neighborhood disadvantage, socioeconomic conditions, and HF self-care are unclear.

OBJECTIVE

The purpose of this secondary analysis was to investigate whether neighborhood disadvantage and individual socioeconomic conditions predicted worse HF self-care.

METHODS

This study was a secondary analysis of baseline data from a mixed-method study of 82 adults with HF. Participant zip codes were assigned a degree of neighborhood disadvantage using the Area Deprivation Index. Those in the top 20% most disadvantaged neighborhoods (Area Deprivation Index ≥ 80) were compared with those in the least disadvantaged neighborhoods. The Self-Care of Heart Failure Index was used to measure self-care maintenance and monitoring. Multiple linear regression was conducted.

RESULTS

Of all participants, 59.8% were male, 59.8% were persons of color, and the mean age was 64.87 years. Residing in a disadvantaged neighborhood and living alone predicted worse HF self-care maintenance and monitoring. Having no college education was also a predictor of worse HF self-care maintenance. Although persons of color were more likely to reside in disadvantaged neighborhoods, race was not associated with HF self-care.

CONCLUSION

Residing in a disadvantaged neighborhood and living alone may be important risk factors for worse HF self-care. Differences in self-care cannot be attributed solely to the individual sociodemographic determinants of race, gender, age, annual household income, or marital status. More research is needed to understand the connection between neighborhood disadvantage and HF self-care.

Impact of dietary risk on global ischemic heart disease: findings from 1990-2019

Ischemic heart disease (IHD) is a condition in which the heart is starved of oxygen. Knowing the dietary risk factors implementing appropriate nutritional interventions in this regard seems essential. Therefore, the present study was carried out to determine the epidemiological features of IHD affected by dietary risks. This study used data from the Global Burden of Disease (GBD) study. In this study, we collected information on death, years lived with disability (YLD), and disability-adjusted life years (DALYs) of IHD affected by dietary risks in one hundred thousand people with 95% confidence based on the direct Age Standard Rate (ASR). We applied these data based on the Socio-demographic Index (SDI). In 2019, the number of IHD deaths, YLDs, and DALYs attributable to dietary risks was 62.43 million (95% UI [50.97-73.63] per 100,000 population), 36.88 (95% UI [23.87-53.32] per 100,000 population), and 1271.32 (95% UI [1061.29-1473.75] per 100,000 population), respectively. We found that the lowest DALYs of IHD affected by dietary risks by ASR are for high SDI countries. Most dietary risk factors related to IHD in countries with high and high middle SDI were related to a diet high in red and processed meat, sodium, and low in legumes, but in countries with low and low middle SDI, it was related to a diet low in fiber, fruit, nuts and seeds, PUFA, seafood W3 fatty acids, vegetables and whole grain. Considering that the dietary risk factors related to IHD are different based on SDI, it is necessary to consider nutritional interventions according to SDI.

Neighborhood Disadvantage and Risk of Heart Failure: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study

BACKGROUND

Heart failure (HF) affects >6 million US adults, with recent increases in HF hospitalizations. We aimed to investigate the association between neighborhood disadvantage and incident HF events and potential differences by diabetes status.

METHODS

We included 23 645 participants from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), a prospective cohort of Black and White adults aged ≥45 years living in the continental United States (baseline 2005-2007). Neighborhood disadvantage was assessed using a Z score of 6 census tract variables (2000 US Census) and categorized as quartiles. Incident HF hospitalizations or HF-related deaths through 2017 were adjudicated. Multivariable-adjusted Cox regression was used to examine the association between neighborhood disadvantage and incident HF. Heterogeneity by diabetes was assessed using an interaction term.

RESULTS

The mean age was 64.4 years, 39.5% were Black adults, 54.9% females, and 18.8% had diabetes. During a median follow-up of 10.7 years, there were 1125 incident HF events with an incidence rate of 3.3 (quartile 1), 4.7 (quartile 2), 5.2 (quartile 3), and 6.0 (quartile 4) per 1000 person-years. Compared to adults living in the most advantaged neighborhoods (quartile 1), those living in neighborhoods in quartiles 2, 3, and 4 (most disadvantaged) had 1.30 (95% CI, 1.06-1.60), 1.36 (95% CI, 1.11-1.66), and 1.45 (95% CI, 1.18-1.79) times greater hazard of incident HF even after accounting for known confounders. This association did not significantly differ by diabetes status (interaction P=0.59). For adults with diabetes, the adjusted incident HF hazards comparing those in quartile 4 versus quartile 1 was 1.34 (95% CI, 0.92-1.96), and it was 1.50 (95% CI, 1.16-1.94) for adults without diabetes.

CONCLUSIONS

In this large contemporaneous prospective cohort, neighborhood disadvantage was associated with an increased risk of incident HF events. This increase in HF risk did not differ by diabetes status. Addressing social, economic, and structural factors at the neighborhood level may impact HF prevention.

The association of neighborhood socioeconomic characteristics with cardiovascular health: A quasi-experimental study of refugees to Denmark

Neighborhood socioeconomic disadvantage is associated with cardiovascular health, although it is unclear which specific aspects of neighborhoods matter most. We leveraged a natural experiment in which refugees to Denmark were quasi-randomly assigned to neighborhoods across the country during 1986-1998, creating variation in exposure to various aspects of neighborhood disadvantage. The cohort was followed through December 2018. Exposures included neighborhood-level family income, educational attainment, unemployment, and welfare transfers measured in the first neighborhood after arrival to Denmark. Outcomes included cardiovascular risk factors (hyperlipidemia, hypertension, diabetes and anxiety/depression) and cardiovascular disease (acute myocardial infarction and ischemic heart disease). Neighborhood-level income and education were most consistently associated with cardiovascular risk factors, whereas welfare transfers were most consistently associated with cardiovascular disease. Addressing these specific aspects of neighborhood disadvantage could therefore lower the risk of poor cardiovascular health among refugees. Future research is warranted to examine if results are generalizable to other immigrant groups, countries or time periods.

Is area-level socioeconomic deprivation associated with mortality due to circulatory system diseases in Poland?

BACKGROUND

Socioeconomic deprivation (SED) is known to influence cardiovascular health. However, studies analyzing the relationship between deprivation and circulatory system diseases (CSD) in Central and Eastern Europe are limited. This study aimed to assess the relationship between SED and mortality due to CSD at a population level in 66 sub-regions of Poland.

METHODS

The 2010-2014 data regarding mortality and SED components were obtained from the Central Statistical Office. An area-based SED index was calculated based on the higher education rates, employment structure, wages, unemployment, and poverty. The dynamics of changes in mortality due to CSD was expressed by the number of deaths prevented or postponed (DPP) in terciles of the SED index. The associations between the mortality from CSD and SED index were analyzed using multivariate Poisson regression models and generalized estimating equations.

RESULTS

Among men, the percentage of DPP in 2014 was 13.1% for CSD, 23.4% for ischemic heart disease (IHD), and 21.4% for cerebrovascular diseases (CeVD). In the case of women, the proportion of DPP was 12.8, 25.6, and 21.6%, respectively. More deprived sub-regions experienced a greater decrease in CSD-related mortality than less deprived sub-regions. The disparity in mortality reduction between more deprived and less deprived sub-regions was even more pronounced for women. After adjusting for smoking prevalence, average BMI, population density, and changes in mortality over time, it was found that the SED index over the 2010-2014 time period was significantly associated with CSD- and IHD-related mortality for men (respectively 5.3 and 19.5% expected mortality increase per 1-unit increase of SED index), and with IHD- and CeVD-related mortality for women (respectively 30.3 and 23.0% expected mortality increase per 1-unit increase of SED index).

CONCLUSIONS

Significant differences in mortality changes due to CSD in Poland could be observed in relation to socioeconomic deprivation, resulting in reduced health inequalities. To reduce CSD mortality, more comprehensive preventive measures, including approaches addressing the socioeconomic factors, mainly poverty, education and employment, are needed, particularly in less urbanized areas.

Association Between Neighborhood-Level Poverty and Incident Atrial Fibrillation: a Retrospective Cohort Study

BACKGROUND

Atrial fibrillation (AF) is a leading cause of cardiovascular morbidity and mortality. While neighborhood-level factors, such as poverty, have been related to prevalence of AF risk factors, the association between neighborhood poverty and incident AF has been limited.

OBJECTIVE

Using a large cohort from a health system serving the greater Chicago area, we sought to determine the association between neighborhood-level poverty and incident AF.

DESIGN

Retrospective cohort study.

PARTICIPANTS

Adults, aged 30 to 80 years, without baseline cardiovascular disease from January 1, 2005, to December 31, 2018.

MAIN MEASURES

We geocoded and matched residential addresses of all eligible patients to census-level poverty estimates from the American Community Survey. Neighborhood-level poverty (low, intermediate, and high) was defined as the proportion of residents in the census tract living below the federal poverty threshold. We used generalized linear mixed effects models with a logit link function to examine the association between neighborhood poverty and incident AF, adjusting for patient demographic and clinical AF risk factors.

KEY RESULTS

Among 28,858 in the cohort, patients in the high poverty group were more often non-Hispanic Black or Hispanic and had higher rates of AF risk factors. Over 5 years of follow-up, 971 (3.4%) patients developed incident AF. Of these, 502 (51.7%) were in the low poverty, 327 (33.7%) in the intermediate poverty, and 142 (14.6%) in the high poverty group. The adjusted odds ratio (aOR) of AF was higher for the intermediate poverty compared with that for the low poverty group (aOR 1.23 [95% CI 1.01-1.48]). The point estimate for the aOR of AF incidence was similar, but not statistically significant, for the high poverty compared with the low poverty group (aOR 1.25 [95% CI 0.98-1.59]).

CONCLUSION

In adults without baseline cardiovascular disease managed in a large, integrated health system, intermediate neighborhood poverty was significantly associated with incident AF. Understanding neighborhood-level drivers of AF disparities will help achieve equitable care.