Trends of biomarkers of cardiovascular disease in the United States by income: Disparities between the richest 20% and the poorest 80%,1999-2018

Impact of Social Determinants of Health on Hypertension Outcomes: A Systematic Review

Despite ample evidence linking social determinants of health (SDoH) and hypertension outcomes, efforts to address SDoH in the context of hypertension prevention and self-management are not commensurate with the burden and impact of hypertension. To provide valuable insights into the development of targeted and effective strategies for preventing and managing hypertension, this systematic review, guided by the Healthy People 2030 SDoH framework, aims to summarize the inclusion, measurement, and evaluation of SDoH in studies examining hypertension outcomes, with a focus on characterizing SDoH constructs and summarizing the current evidence of their influence on hypertension outcomes. Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a comprehensive search of electronic databases identified 10 608 unique records, from which 57 articles meeting inclusion criteria were analyzed. The studies, conducted nationally or regionally across the United States, revealed that higher educational attainment, health insurance coverage, income, and favorable neighborhood characteristics were associated with lower hypertension prevalence and better hypertension control among US adults. The findings underscore the importance of addressing SDoH such as education, health care access, economic stability, neighborhood environments, and social context to reduce hypertension disparities. Multilevel collaboration and community-engaged practices are necessary to tackle these disparities effectively.

Association of poverty-income ratio with cardiovascular disease and mortality in cancer survivors in the United States

BACKGROUND

Lower income is associated with high incident cardiovascular disease (CVD) and mortality. CVD is an important cause of morbidity and mortality in cancer survivors. However, there is limited research on the association between income, CVD, and mortality in this population.

METHODS

This study utilized nationally representative data from the National Health and Nutrition Examination Survey (NHANES), a cross-sectional survey evaluating the health and nutritional status of the US population. Our study included NHANES participants aged ≥20 years from 2003-2014, who self-reported a history of cancer. We evaluated the association between income level, prevalence of CVD, and all-cause mortality. All-cause mortality data was obtained through public use mortality files. Income level was assessed by poverty-income ratio (PIR) that was calculated by dividing family (or individual) income by poverty guideline. We used multivariable-adjusted Cox proportional hazard models through a backward elimination method to evaluate associations between PIR, CVD, and all-cause mortality in cancer survivors.

RESULTS

This cohort included 2,464 cancer survivors with a mean age of 62 (42% male) years. Compared with individuals with a higher PIR tertiles, those in the lowest PIR tertile had a higher rate of pre-existing CVD and post-acquired CVD. In participants with post-acquired CVD, the lowest PIR tertile had over two-fold increased risk mortality (Hazard Ratio (HR) = 2.17; 95% CI: 1.27-3.71) when compared to the highest PIR tertile. Additionally, we found that PIR was as strong a predictor of mortality in cancer survivors as CVD. In patients with no CVD, the lowest PIR tertile continued to have almost a two-fold increased risk of mortality (HR = 1.72; 95% CI: 1.69-4.35) when compared to a reference of the highest PIR tertile.

CONCLUSIONS

In this large national study of cancer survivors, low PIR is associated with a higher prevalence of CVD. Low PIR is also associated with an increased risk of mortality in cancer survivors, showing a comparable impact to that of pre-existing and post-acquired CVD. Urgent public health resources are needed to further study and improve screening and access to care in this high-risk population.

Healthcare Disparities in Cardiovascular Medicine

There are significant healthcare disparities in cardiovascular medicine that represent a challenge for cardiologists and healthcare policy-makers who wish to provide equitable care. Disparities exist in both the management and outcomes of hypertension, coronary artery disease and its sequelae, and heart failure. These disparities are present along the lines of race, gender, and socioeconomic status. Despite recent efforts to reduce disparity, there are knowledge and research gaps among cardiologists with regards to both the scope of the problem and how to solve it. Solutions include increasing awareness of disparities in cardiovascular health, increasing research for optimal treatment of underserved communities, and public policy changes that reduce disparities in social determinants of health.

Socioeconomic inequalities in cardiovascular disease: a causal perspective

Socioeconomic inequalities in cardiovascular disease (CVD) persist in high-income countries despite marked overall declines in CVD-related morbidity and mortality. After decades of research, the field has struggled to unequivocally answer a crucial question: is the association between low socioeconomic position (SEP) and the development of CVD causal? We review relevant evidence from various study designs and disciplinary perspectives. Traditional observational, family-based and Mendelian randomization studies support the widely accepted view that low SEP causally influences CVD. However, results from quasi-experimental and experimental studies are both limited and equivocal. While more experimental and quasi-experimental studies are needed to aid causal understanding and inform policy, high-quality descriptive studies are also required to document inequalities, investigate their contextual dependence and consider SEP throughout the lifespan; no simple hierarchy of evidence exists for an exposure as complex as SEP. The COVID-19 pandemic illustrates the context-dependent nature of CVD inequalities, with the generation of potentially new causal pathways linking SEP and CVD. The linked goals of understanding the causal nature of SEP and CVD associations, their contextual dependence, and their remediation by policy interventions necessitate a detailed understanding of society, its change over time and the phenotypes of CVD. Interdisciplinary research is therefore key to advancing both causal understanding and policy translation.

Cardiovascular Health of Middle-Aged U.S. Adults by Income Level, 1999 to March 2020 : A Serial Cross-Sectional Study

BACKGROUND

Although cardiovascular mortality has increased among middle-aged U.S. adults since 2011, how the burden of cardiovascular risk factors has changed for this population by income level over the past 2 decades is unknown.

OBJECTIVE

To evaluate trends in the prevalence, treatment, and control of cardiovascular risk factors among low-income and higher-income middle-aged adults and how social determinants contribute to recent associations between income and cardiovascular health.

DESIGN

Serial cross-sectional study.

SETTING

NHANES (National Health and Nutrition Examination Survey), 1999 to March 2020.

PARTICIPANTS

Middle-aged adults (aged 40 to 64 years).

MEASUREMENTS

Age-standardized prevalence of hypertension, diabetes, hyperlipidemia, obesity, and cigarette use; treatment rates for hypertension, diabetes, and hyperlipidemia; and rates of blood pressure, glycemic, and cholesterol control.

RESULTS

The study population included 20 761 middle-aged adults. The prevalence of hypertension, diabetes, and cigarette use was consistently higher among low-income adults between 1999 and March 2020. Low-income adults had an increase in hypertension over the study period (37.2% [95% CI, 33.5% to 40.9%] to 44.7% [CI, 39.8% to 49.5%]) but no changes in diabetes or obesity. In contrast, higher-income adults did not have a change in hypertension but had increases in diabetes (7.8% [CI, 5.0% to 10.6%] to 14.9% [CI, 12.4% to 17.3%]) and obesity (33.0% [CI, 26.7% to 39.4%] to 44.0% [CI, 40.2% to 47.7%]). Cigarette use was high and stagnant among low-income adults (33.2% [CI, 28.4% to 38.0%] to 33.9% [CI, 29.6% to 38.3%]) but decreased among their higher-income counterparts (18.6% [CI, 13.5% to 23.7%] to 11.5% [CI, 8.7% to 14.3%]). Treatment and control rates for hypertension were unchanged in both groups (>80%), whereas diabetes treatment rates improved only among the higher-income group (58.4% [CI, 44.4% to 72.5%] to 77.4% [CI, 67.6% to 87.1%]). Income-based disparities in hypertension, diabetes, and cigarette use persisted in more recent years even after adjustment for insurance coverage, health care access, and food insecurity.

LIMITATION

Sample size limitations could preclude detection of small changes in treatment and control rates.

CONCLUSION

Over 2 decades in the United States, hypertension increased in low-income middle-aged adults, whereas diabetes and obesity increased in their higher-income counterparts. Income-based disparities in hypertension, diabetes, and smoking persisted even after adjustment for other social determinants of health.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Association Between Metabolic Syndrome and Mortality: Prospective Cohort Study

BACKGROUND

Metabolic syndrome (MetS) is a common metabolic disorder that results from the increasing prevalence of obesity, which has been an increasing concern in recent years. Previous evidence indicated that MetS was associated with mortality; however, different definitions of MetS were used. In 2005, the National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III updated the definition of MetS, which has since been widely adopted. Therefore, it is necessary to conduct a novel study among other populations and countries with a larger sample size using the updated definition of MetS and death code to examine the association of MetS with all-cause and cause-specific mortality.

OBJECTIVE

We aimed to examine the associations of MetS with all-cause and cause-specific mortality.

METHODS

A total of 36,414 adults were included in this study, using data from the National Health and Nutrition Examination Survey (NHANES) III (1988-1994) and the continuous NHANES (1999-2014) in the United States. Death outcomes were ascertained by linkage to National Death Index records through December 31, 2015. MetS was defined by the NCEP ATP III-2005 criterion. Complex survey design factors including sample weights, clustering, and stratification were considered for all analyses with instructions for using NHANES data. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs for mortality from all causes, heart disease, diabetes, and cancer.

RESULTS

We observed 8494 deaths during the 16.71 years of follow-up. Compared with those without MetS, individuals with MetS were associated with a significantly elevated multiadjusted HR of 1.24 (95% CI 1.16-1.33), 1.44 (95% CI 1.25-1.66), and 5.15 (95% CI 3.15-8.43) for all cause, heart diseases, and diabetes mellitus, respectively, whereas no significant association was found for cancer mortality (HR 1.17, 95% CI 0.95-1.43).

CONCLUSIONS

Our study provides additional evidence that MetS and its components are significantly associated with all-cause, heart disease, and diabetes mortality, but not with cancer mortality. Health care professionals should pay more attention to MetS and its individual component.

Racial disparities and prevalence of cardiovascular disease risk factors, cardiometabolic risk factors, and cardiovascular health metrics among US adults: NHANES 2011-2018

This study estimated the prevalence of cardiovascular disease (CVD) risk factors, cardiometabolic (CM) risk factors, and cardiovascular health metrics (CVHMs) among US adults and across race/ethnicity groups. The study comprised 8370 US adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (NHANES) 2011-2018, free of coronary heart disease/heart failure, angina/angina pectoris, heart attack, and stroke, who provided complete data for the outcome variables of interest. Age-adjusted prevalence of CVD and CM risk factors, and CVHMs were computed for all adults and across race/ethnicity groups. All analyses accounted for the complex, multi-stage survey sampling design of the NHANES. Hypertension (45.0%), obesity (40.0%), fasting plasma glucose ≥ 100 mg/dL or hypoglycemic medication (51.0%), ideal physical activity (59.2%) and ideal smoking status (56.9%) were most prevalent for the whole sample. Mexican Americans and non-Hispanic Blacks had elevated risk for some, but not all, CVD and CM risk factors compared to non-Hispanic Whites and non-Hispanic Asians. Reducing further health disparities and persisting differences among racial and ethnic groups is vital to achieving the American Heart Association vision of all people having ideal cardiovascular health, living healthier and longer.

Health status among NEET adolescents and young adults in the United States, 2016-2018

Adolescents and young adults not employed or in education/training (NEET) could be at higher risk of adverse health outcomes. Approximately 4.6 million Americans aged between 16 and 24 fall in this group. However, differences in health between NEET and non-NEET population remain unaddressed. This study examines the association of NEET status and poor/fair self-reported health status (SRH), among adolescents and young adults in the United States. Data for this study come from the 2016–2018 National Survey on Drug Use and Health (NSDUH). Our analytical sample consisted of 53,690 respondents. We used logistic regression models to investigate the association between NEET and health status in the United States, while controlling for potential covariates. Approximately 14% of our analytical sample was classified as NEET. NEET report poor/fair health status at higher rates than their counterparts who remained in school and/or had a job (11.30% vs. 5.62%). The NEET population was older, had a higher proportion of non-Hispanic Blacks, engaged in more smoking but in less alcohol drinking than non-NEET. In our initial model, NEET were more likely report poor/fair SRH than their non-NEET counterparts (OR = 2.14; p < 0.001). This difference remains strong when demographic and socioeconomic characteristics are accounted for in our empirical models (OR = 1.93, p < 0.001). In our fully specified model, which accounts for health behaviors, NEET continue to have higher odds of reporting poor/fair SRH (OR = 1.77, p < 0.001). Our analyses suggest that NEET populations report worse health than non-NEETs. The health of this population may improve if interventions to reinsert them into either education or employment are effectively deployed.

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Approximately 14% of the population aged 16 to 25 are not employed or participating in education/training activities (NEET).

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The NEET population report worse health status than their non-NEET peers.

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NEETs report worse health even when accounting for demographic and socioeconomic characteristics and metropolitan residence.