Social Determinants of Cardiovascular Risk Factors Among Asian American Subgroups.

BACKGROUND: Social determinants of health (SDOH) play a significant role in the development of cardiovascular risk factors. We investigated SDOH associations with cardiovascular risk factors among Asian American subgroups. METHODS AND RESULTS: We utilized the National Health Interview Survey, a nationally representative survey of US adults, years 2013 to 2018. SDOH variables were categorized into economic stability, neighborhood and social cohesion, food security, education, and health care utilization. SDOH score was created by categorizing 27 SDOH variables as 0 (favorable) or 1 (unfavorable). Self-reported cardiovascular risk factors included diabetes, high cholesterol, high blood pressure, obesity, insufficient physical activity, suboptimal sleep, and nicotine exposure. Among 6395 Asian adults aged ≥18 years, 22.1% self-identified as Filipino, 21.6% as Asian Indian, 21.0% as Chinese, and 35.3% as other Asian. From multivariable-adjusted logistic regression models, each SD increment of SDOH score was associated with higher odds of diabetes among Chinese (odds ratio [OR], 1.45; 95% CI, 1.04-2.03) and Filipino (OR, 1.24; 95% CI, 1.02-1.51) adults; high blood pressure among Filipino adults (OR, 1.28; 95% CI, 1.03-1.60); insufficient physical activity among Asian Indian (OR, 1.42; 95% CI, 1.22-1.65), Chinese (OR, 1.58; 95% CI, 1.33-1.88), and Filipino (OR, 1.24; 95% CI, 1.06-1.46) adults; suboptimal sleep among Asian Indian adults (OR, 1.20; 95% CI, 1.01-1.42); and nicotine exposure among Chinese (OR, 1.56; 95% CI, 1.15-2.11) and Filipino (OR, 1.50; 95% CI, 1.14-1.97) adults. CONCLUSIONS: Unfavorable SDOH are associated with higher odds of cardiovascular risk factors in Asian American subgroups. Culturally specific interventions addressing SDOH may help improve cardiovascular health among Asian Americans.

Race, Social Determinants of Health, and Risk of All-Cause and Cardiovascular Mortality in the United States.

OBJECTIVE: To examine the independent and interdependent effects of race and social determinants of health (SDoH) and risk of all-cause and cardiovascular disease (CVD) mortality in the US. DATA SOURCE/STUDY DESIGN: Secondary analysis of pooled data for 252,218 participants of the 2006-2018 National Health Interview Survey, linked to the National Death Index. METHODS: Age-adjusted mortality rates (AAMR) were reported for non-Hispanic White (NHW) and non-Hispanic Black (NHB) individuals overall, and by quintiles of SDoH burden, with higher quintiles representing higher cumulative social disadvantage (SDoH-Qx). Survival analysis was used to examine the association between race, SDoH-Qx, and all-cause and CVD mortality. FINDINGS: AAMRs for all-cause and CVD mortality were higher for NHB and considerably higher at higher levels of SDoH-Qx, however, with similar mortality rates at any given level of SDoH-Qx. In multivariable models, NHB experienced 20-25% higher mortality risk relative to NHW (aHR = 1.20-1.26); however, no association was observed after adjusting for SDoH. In contrast, higher SDoH burden was associated with up to nearly threefold increased risk of all-cause (aHR, Q5 vs Q1 = 2.81) and CVD mortality (aHR, Q5 vs Q1 = 2.90); the SDoH effect was observed similarly for NHB (aHR, Q5:all-cause mortality = 2.38; CVD mortality = 2.58) and NHW (aHR, Q5:all-cause mortality = 2.87; CVD mortality = 2.93) subgroups. SDoH burden mediated 40-60% of the association between NHB race and mortality. CONCLUSIONS: These findings highlight the critical role of SDoH as upstream drivers of racial inequities in all-cause and CVD mortality. Population level interventions focused on addressing adverse SDoH experienced by NHB individuals may help mitigate persistent disparities in mortality in the US.

Coronary Atherosclerosis Across the Glycemic Spectrum Among Asymptomatic Adults: The Miami Heart Study at Baptist Health South Florida.

BACKGROUND: The contemporary burden and characteristics of coronary atherosclerosis, assessed using coronary computed tomography angiography (CCTA), is unknown among asymptomatic adults with diabetes and prediabetes in the United States. The pooled cohort equations and coronary artery calcium (CAC) score stratify atherosclerotic cardiovascular disease risk, but their association with CCTA findings across glycemic categories is not well established. METHODS: Asymptomatic adults without atherosclerotic cardiovascular disease enrolled in the Miami Heart Study were included. Participants underwent CAC and CCTA testing and were classified into glycemic categories. Prevalence of coronary atherosclerosis (any plaque, noncalcified plaque, plaque with ≥1 high-risk feature, maximal stenosis ≥50%) assessed by CCTA was described across glycemic categories and further stratified by pooled cohort equations-estimated atherosclerotic cardiovascular disease risk and CAC score. Adjusted logistic regression was used to evaluate the associations between glycemic categories and coronary outcomes. RESULTS: Among 2352 participants (49.5% women), the prevalence of euglycemia, prediabetes, and diabetes was 63%, 30%, and 7%, respectively. Coronary plaque was more commonly present across worsening glycemic categories (euglycemia, 43%; prediabetes, 58%; diabetes, 69%), and similar pattern was observed for other coronary outcomes. In adjusted analyses, compared with euglycemia, prediabetes and diabetes were each associated with higher odds of any coronary plaque (OR, 1.30 [95% CI, 1.05-1.60] and 1.75 [1.17-2.61], respectively), noncalcified plaque (OR, 1.47 [1.19-1.81] and 1.99 [1.38-2.87], respectively), and plaque with ≥1 high-risk feature (OR, 1.65 [1.14-2.39] and 2.53 [1.48-4.33], respectively). Diabetes was associated with stenosis ≥50% (OR, 3.01 [1.79-5.08]; reference=euglycemia). Among participants with diabetes and estimated atherosclerotic cardiovascular disease risk <5%, 46% had coronary plaque and 10% had stenosis ≥50%. Among participants with diabetes and CAC=0, 30% had coronary plaque and 3% had stenosis ≥50%. CONCLUSIONS: Among asymptomatic adults, worse glycemic status is associated with higher prevalence and extent of coronary atherosclerosis, high-risk plaque, and stenosis. In diabetes, CAC was more closely associated with CCTA findings and informative in a larger population than the pooled cohort equations.

Cumulative social disadvantage and health-related quality of life: national health interview survey 2013-2017.

BACKGROUND: Evidence for the association between social determinants of health (SDoH) and health-related quality of life (HRQoL) is largely based on single SDoH measures, with limited evaluation of cumulative social disadvantage. We examined the association between cumulative social disadvantage and the Health and Activity Limitation Index (HALex). METHODS: Using adult data from the National Health Interview Survey (2013-2017), we created a cumulative disadvantage index by aggregating 47 deprivations across 6 SDoH domains. Respondents were ranked using cumulative SDoH index quartiles (SDoH-Q1 to Q4), with higher quartile groups being more disadvantaged. We used two-part models for continuous HALex scores and logistic regression for poor HALex (< 20th percentile score) to examine HALex differences associated with cumulative disadvantage. Lower HALex scores implied poorer HRQoL performance. RESULTS: The study sample included 156,182 respondents, representing 232.8 million adults in the United States (mean age 46 years; 51.7% women). The mean HALex score was 0.85 and 17.7% had poor HALex. Higher SDoH quartile groups had poorer HALex performance (lower scores and increased prevalence of poor HALex). A unit increase in SDoH index was associated with - 0.010 (95% CI [-0.011, -0.010]) difference in HALex score and 20% higher odds of poor HALex (odds ratio, OR = 1.20; 95% CI [1.19, 1.21]). Relative to SDoH-Q1, SDoH-Q4 was associated with HALex score difference of -0.086 (95% CI [-0.089, -0.083]) and OR = 5.32 (95% CI [4.97, 5.70]) for poor HALex. Despite a higher burden of cumulative social disadvantage, Hispanics had a weaker SDoH-HALex association than their non-Hispanic White counterparts. CONCLUSIONS: Cumulative social disadvantage was associated with poorer HALex performance in an incremental fashion. Innovations to incorporate SDoH-screening tools into clinical decision systems must continue in order to accurately identify socially vulnerable groups in need of both clinical risk mitigation and social support. To maximize health returns, policies can be tailored through community partnerships to address systemic barriers that exist within distinct sociodemographic groups, as well as demographic differences in health perception and healthcare experience.

Atherosclerotic plaque in individuals without known cardiovascular disease but with established obstructive sleep apnea and at high risk of obstructive sleep apnea.

Objectives: In a large U.S. cohort free of CVD evaluated by coronary computed CT angiography, we aimed to assess the association between established / high risk of Obstructive Sleep Apnea (OSA) and coronary plaque. Background: There are limited data available depicting the association between established / high risk of OSA and the presence of coronary plaque in a population-based sample free from CVD. Methods: Cross-sectional data from 2359 participants enrolled in the Miami Heart Study (MiHeart) who underwent coronary CT angiography was used for this study. The Berlin questionnaire was used to stratify patients as having high or low risk of OSA. Multiple multivariable logistic regression analyses were conducted to investigate the association between the risk of developing OSA with the presence, volume, and composition of plaque. Results: According to the Berlin questionnaire, 1559 participants were (66.1%) at low risk of OSA and 800 patients (33.9%) with established / high risk of OSA. Plaque characterization on CCTA revealed a greater incidence of any possible plaque composition in the established / high risk of OSA category (59.6% vs. 43.5%) compared to the low risk of OSA cohort. In logistic regression models, after adjusting for demographics and cardiovascular risk factors, a significant association could still be noted between established / high risk of OSA and any coronary plaque on CCTA (OR=1.31, CI 1.05, 1.63, p = 0.016). Subgroup analysis in the Hispanic population also portrayed a significant association between established / high risk of OSA and the presence of coronary plaque on CCTA (OR = 1.55 CI 1.13, 2.12, p = 0.007). Conclusion: After accounting for CVD risk factors, individuals at established / high risk of OSA have a higher likelihood of the presence of coronary plaque. Future studies should focus on OSA presence or risk, OSA severity, and the longitudinal consequences of coronary atherosclerosis.

Low educational attainment is associated with higher all-cause and cardiovascular mortality in the United States adult population.

INTRODUCTION: Educational attainment is an important social determinant of health (SDOH) for cardiovascular disease (CVD). However, the association between educational attainment and all-cause and CVD mortality has not been longitudinally evaluated on a population-level in the US, especially in individuals with atherosclerotic cardiovascular disease (ASCVD). In this nationally representative study, we assessed the association between educational attainment and the risk of all-cause and cardiovascular (CVD) mortality in the general adult population and in adults with ASCVD in the US. METHODS: We used data from the 2006-2014 National Death Index-linked National Health Interview Survey for adults ≥ 18 years. We generated age-adjusted mortality rates (AAMR) by levels of educational attainment (< high school (HS), HS/General Education Development (GED), some college, and ≥ College) in the overall population and in adults with ASCVD. Cox proportional hazards models were used to examine the multivariable-adjusted associations between educational attainment and all-cause and CVD mortality. RESULTS: The sample comprised 210,853 participants (mean age 46.3), representing ~ 189 million adults annually, of which 8% had ASCVD. Overall, 14.7%, 27%, 20.3%, and 38% of the population had educational attainment < HS, HS/GED, Some College, and ≥ College, respectively. During a median follow-up of 4.5 years, all-cause age-adjusted mortality rates were 400.6 vs. 208.6 and 1446.7 vs. 984.0 for the total and ASCVD populations for < HS vs ≥ College education, respectively. CVD age adjusted mortality rates were 82.1 vs. 38.7 and 456.4 vs 279.5 for the total and ASCVD populations for < HS vs ≥ College education, respectively. In models adjusting for demographics and SDOH, < HS (reference = ≥ College) was associated with 40-50% increased risk of mortality in the total population and 20-40% increased risk of mortality in the ASCVD population, for both all-cause and CVD mortality. Further adjustment for traditional risk factors attenuated the associations but remained statistically significant for < HS in the overall population. Similar trends were seen across sociodemographic subgroups including age, sex, race/ethnicity, income, and insurance status. CONCLUSIONS: Lower educational attainment is independently associated with increased risk of all-cause and CVD mortality in both the total and ASCVD populations, with the highest risk observed for individuals with < HS education. Future efforts to understand persistent disparities in CVD and all-cause mortality should pay close attention to the role of education, and include educational attainment as an independent predictor in mortality risk prediction algorithms.

Social Determinants of Cardiovascular Risk, Subclinical Cardiovascular Disease, and Cardiovascular Events.

Background Although there is research on the impact of social determinants of health (SDOHs) on cardiovascular health, most existing evidence is based on individual SDOH components. We evaluated the impact of cumulative SDOH burden on cardiovascular risk factors, subclinical atherosclerosis, and incident cardiovascular disease events. Methods and Results We included 6479 participants from the MESA (Multi-Ethnic Study of Atherosclerosis). A weighted aggregate SDOH score representing the cumulative number of unfavorable SDOHs, identified from 14 components across 5 domains (economic stability, neighborhood and physical environment, community and social context, education, and health care system access) was calculated and divided into quartiles (quartile 4 being the least favorable). The impact of cumulative SDOH burden on cardiovascular risk factors (hypertension, diabetes, dyslipidemia, smoking, and obesity), systemic inflammation, subclinical atherosclerosis, and incident cardiovascular disease was evaluated. Increasing social disadvantage was associated with increased odds of all cardiovascular risk factors except dyslipidemia. Smoking was the risk factor most strongly associated with worse SDOH (odds ratio [OR], 2.67 for quartile 4 versus quartile 1 [95% CI, 2.13-3.34]). Participants within SDOH quartile 4 had 33% higher odds of increased high-sensitivity C-reactive protein (OR, 1.33 [95% CI, 1.11-1.60]) and 31% higher risk of all cardiovascular disease (hazard ratio, 1.31 [95% CI, 1.03-1.67]), yet no greater burden of subclinical atherosclerosis (OR, 1.01 [95% CI, 0.79-1.29]), when compared with those in quartile 1. Conclusions Increasing social disadvantage was associated with more prevalent cardiovascular risk factors, inflammation, and incident cardiovascular disease. These findings call for better identification of SDOHs in clinical practice and stronger measures to mitigate the higher SDOH burden among the socially disadvantaged to improve cardiovascular outcomes.

The association of sex-specific hormones with coronary artery plaque characteristics from Miami Heart (MiHeart) study.

Objective: The association of sex-specific hormones with coronary computed tomography angiography(CCTA)-based plaque characteristics in women without cardiovascular disease is not well understood. We investigated the association of sex-specific hormones with coronary artery plaque characteristics in a contemporary multiracial cohort with no clinical coronary artery disease (CAD). Methods: In this cross-sectional analysis, we utilized data from 2,325 individuals with no clinical CAD from the Miami Heart (MiHeart) study. Multivariable logistic regression models were used to investigate the association of sex hormones: sex hormone binding globulin (SHBG), dehydroepiandrosterone (DHEA), free and total testosterone, estradiol, with plaque characteristics among women and men. Results: Of the 1,155 women, 34.2% had any plaque and 3.4% had any high-risk plaque features (HRP) while among men (n = 1170), 63.1% had any plaque and 10.4% had HRP. Among women, estradiol and SHBG were associated with lower odds of any plaque after adjusting for age and race-ethnicity (estradiol OR per SD increase: 0.87, 95%CI: 0.76-0.98; SHBG OR per SD increase: 0.82, 95%CI: 0.72-0.93) but the significance did not persist after adjustment of cardiovascular risk factors. High free testosterone was associated with higher odds of HRP (aOR:3.48, 95%CI:1.07-11.26) but null associations for the other sex hormones with HRP, in the context of limited sample size. Among men, there were no significant associations between sex-specific hormones and plaque or HRP. Conclusion: Among young to middle-aged women with no clinical CAD, increasing estradiol and SHBG were associated with lower odds of any plaque and higher free testosterone was associated with HRP. Larger cohorts may be needed to validate this.

Habitual sleep duration and its relationship with cardiovascular health, healthcare costs, and resource utilization in a working population.

OBJECTIVE: Little is known about the relationship between habitual sleep duration, cardiovascular health (CVH) and their impact on healthcare costs and resource utilization. We describe the relationship between sleep duration and ideal CVH, and the associated burden of healthcare expenditure and utilization in a large South Florida employee population free from known cardiovascular disease. METHODS: The study used data obtained from a 2014 voluntary Health Risk Assessment among 8629 adult employees of Baptist Health South Florida. Health expenditures and resource utilization information were obtained through medical claims data. Frequencies of the individual and cumulative CVH metrics across sleep duration were computed. Mean and marginal per-capita healthcare expenditures were estimated. RESULTS: The mean age was 43 years, 57% were of Hispanic ethnicity. Persons with 6-8.9hours and ≥9 hours of sleep were significantly more likely to report optimal goals for diet, physical activity, body mass index, and blood pressure when compared to those who slept less than 6 hours. Compared to those who slept less than 6 hours, those sleeping 6-8.9hours and ≥9hours had approximately 2- (odds ratio 2.1, 95% confidence interval: 1.9-3.0) and 3-times (odds ratio 3.0, 95% confidence interval: 1.6-5.6) higher odds of optimal CVH. Both groups with 6 or more hours of sleep had lower total per-capita expenditure (approximately $2000 and $2700 respectively), lower odds of visiting an emergency room, or being hospitalized compared to those who slept < 6 hours. CONCLUSION: Sleeping 6 or more hours was associated with better CVH, lower healthcare expenditures, and reduced healthcare resource utilization.

Association of Acculturation with Cardiovascular Risk Factors in Asian-American Subgroups.

Objective: This cross-sectional study aims to better understand the heterogeneous associations of acculturation level on CV risk factors among disaggregated Asian subgroups. We hypothesize that the association between acculturation level and CV risk factors will differ significantly by Asian subgroup. Methods: We used the National Health Interview Survey (NHIS), a nationally representative US survey, years 2014-18. Acculturation was defined using: (a) years in the US, (b) US citizenship status, and (c) level of English proficiency. We created an acculturation index, categorized into low vs. high (scores of 0-3 and 4, respectively). Self-reported CV risk factors included diabetes, high cholesterol, hypertension, obesity, tobacco use, and sufficient physical activity. Rao-Scott Chi Square was used to compare age-standardized, weighted prevalence of CV risk factors between Asian subgroups. We used logistic regression analysis to assess associations between acculturation and CV risk factors, stratified by Asian subgroup. Results: The study sample consisted of 6,051 adults ≥ 18 years of age (53.9% female; mean age 46.6 [SE 0.33]). The distribution by race/ethnicity was Asian Indian 26.9%, Chinese 22.8%, Filipino 18.1%, and other Asian 32.3%. The association between acculturation and CV risk factors differed by Asian subgroups. From multivariable adjusted models, high vs. low acculturation was associated with: high cholesterol amongst Asian Indian (OR=1.57, 95% CI: 1.11, 2.37) and other Asian (OR=1.48, 95% CI: 1.10, 2.01) adults, obesity amongst Filipino adults (OR= 1.62, 95% CI: 1.07, 2.45), and sufficient physical activity amongst Chinese (OR= 1.54, 95% CI: 1.09, 2.19) and Filipino adults (OR=1.58, 95% CI: 1.10, 2.27). Conclusion: This study demonstrates that acculturation is heterogeneously associated with higher prevalence of CV risk factors among Asian subgroups. More studies are needed to better understand these differences that can help to inform targeted, culturally specific interventions.

Association of Income Status with Stroke in Non-Elderly Adults in the United States, 2012-2018.

Stroke is becoming increasingly prevalent among the non-elderly adults (<65 years of age) in the United States. Using the National Health Interview Survey database from 2012 to 2018, we examined the association of traditional risk factors, sociodemographic, cardiovascular risk factor (CRF) profile, family income, and educational attainment in young (18-44 years) and middle-aged (45-64 years) adults. CRF profiles were defined by the number of traditional risk factors with "Poor" (≥4 risk factors), "Average," or "Optimal" (0-1). The study included 168,862 non-elderly adults (55% in young adults). Overall prevalence of stroke was 1.83% among the non-elderly (0.64% and 3.31% in young- and middle-aged adults, respectively). Adults with low family income, lesser education, and who were Non-Hispanic Blacks were more likely to have stroke. Those with poor CRF profiles exhibited a 3-4 times higher odds of stroke compared to those with optimal CRF profiles. Lower income status coupled with a poor CRF profile augmented the prevalence of stroke in non-elderly adults. This national survey of non-elderly US adults showed a correlation between lower income and education, both factors of SES, and stroke. When viewed together, there was an increasing stroke burden in the non-elderly with worsening CRF profile, income status, and educational attainment.

Cumulative Social Disadvantage and All-Cause Mortality in the United States: Findings from a National Study.

The extent to which cumulative social disadvantage-defined as aggregate social risk resulting from multiple co-occurring adverse social determinants of health (SDOH)-affects the risk of all-cause mortality, independent of demographic and clinical risk factors, is not well understood. The objective of this study was to examine the association between cumulative social disadvantage, measured using a comprehensive 47-factor SDOH framework, and mortality in a nationally representative sample of adults in the United States. The authors conducted secondary analysis of pooled data for 63,540 adult participants of the 2013-2015 National Death Index-linked National Health Interview Survey. Age-adjusted mortality rates (AAMRs) were reported by quintiles of aggregate SDOH burden, with higher quintiles denoting greater social disadvantage. Cox proportional hazards models were used to examine the association between cumulative social disadvantage and risk of all-cause mortality. AAMR increased significantly with greater SDOH burden, ranging from 631 per 100,000 person-years (PYs) for participants in SDOH-Q1 to 1490 per 100,000 PYs for those in SDOH-Q5. In regression models adjusted for demographics, being in SDOH-Q5 was associated with 2.5-fold higher risk of mortality, relative to Q1 (adjusted hazard ratio [aHR] = 2.57 [95% confidence interval, CI = 1.94-3.41]); the observed association persisted after adjusting for comorbidities, with over 2-fold increased risk of mortality for SDOH-Q5 versus Q1 (aHR = 2.02 [95% CI = 1.52-2.67]). These findings indicate that cumulative social disadvantage is associated with increased risk of all-cause mortality, independent of demographic and clinical factors. Population level interventions focused on improving individuals' social, economic, and environmental conditions may help reduce the burden of mortality and mitigate persistent disparities.

Unfavorable social determinants of health are associated with higher burden of financial toxicity among patients with atherosclerotic cardiovascular disease in the US: findings from the National Health Interview Survey.

BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) is a major cause of financial toxicity, defined as excess financial strain from healthcare, in the US. Identifying factors that put patients at greatest risk can help inform more targeted and cost-effective interventions. Specific social determinants of health (SDOH) such as income are associated with a higher risk of experiencing financial toxicity from healthcare, however, the associations between more comprehensive measures of cumulative social disadvantage and financial toxicity from healthcare are poorly understood. METHODS: Using the National Health Interview Survey (2013-17), we assessed patients with self-reported ASCVD. We identified 34 discrete SDOH items, across 6 domains: economic stability, education, food poverty, neighborhood conditions, social context, and health systems. To capture the cumulative effect of SDOH, an aggregate score was computed as their sum, and divided into quartiles, the highest (quartile 4) containing the most unfavorable scores. Financial toxicity included presence of: difficulty paying medical bills, and/or delayed/foregone care due to cost, and/or cost-related medication non-adherence. RESULTS: Approximately 37% of study participants reported experiencing financial toxicity from healthcare, with a prevalence of 15% among those in SDOH Q1 vs 68% in SDOH Q4. In fully-adjusted regression analyses, individuals in the 2nd, 3rd and 4th quartiles of the aggregate SDOH score had 1.90 (95% CI 1.60, 2.26), 3.66 (95% CI 3.11, 4.35), and 8.18 (95% CI 6.83, 9.79) higher odds of reporting any financial toxicity from healthcare, when compared with participants in the 1st quartile. The associations were consistent in age-stratified analyses, and were also present in analyses restricted to non-economic SDOH domains and to 7 upstream SDOH features. CONCLUSIONS: An unfavorable SDOH profile was strongly and independently associated with subjective financial toxicity from healthcare. This analysis provides further evidence to support policies and interventions aimed at screening for prevalent financial toxicity and for high financial toxicity risk among socially vulnerable groups.

The Impact of the Affordable Care Act on Disparities in Utilization of Cardiovascular Preventive Services by Socioeconomic Status.

Disparities in cardiovascular outcomes are persistent in our society. The objective was to track the trends before and after the passage of the Affordable Care Act in socioeconomic status (SES) disparities in utilization of cardiovascular disease (CVD) preventive services among nonelderly adults aged 18-64 years. This study used the National Health Interview Survey (2011-2017) to compare utilization of blood pressure, cholesterol, glycemic screening, and diet and smoking cessation advice over time between groups stratified by SES and race using difference-in-difference analysis. This study also measured the differences over time in specific vulnerable population subgroups (Hispanic, low-income and uninsured vs. White, middle-high-income, and insured). The study population included 176,961 surveyed individuals (mean age 40 [±13] years; 51% female; 67.7% non-Hispanic White) between 2011 and 2017, translating to 194.8 million nonelderly US adults per year. Most individuals were from high-income SES (40.0%), followed by middle-income (28.1%), low-income (13.6%), and lowest income SES (18.3%). The proportion of CVD preventive services increased over all SES categories through the study period. The biggest relative changes were seen among low-income individuals. The difference in blood pressure checks, cholesterol checks, and smoking cessation advise between high- and lowest income groups showed a statistically significant decrease at 5.2%, 4.8%, and 11.2%, respectively, between 2011 and 2017. The findings demonstrate a trend in reduction of CVD preventive care disparities between SES groups. However, a gap still exists, and this study highlights the need for continuous improvement to eliminate SES disparities.

Coronary Atherosclerosis in an Asymptomatic U.S. Population: Miami Heart Study at Baptist Health South Florida.

BACKGROUND: The burden of total coronary plaque, plaque subtypes, and high-risk plaque features was unknown in asymptomatic individuals from the general U.S. primary prevention population. OBJECTIVES: In a large, asymptomatic U.S. cohort evaluated using coronary computed tomography angiography (CCTA), we aimed to assess the burden of total coronary plaque, plaque subtypes, and high-risk plaque features; the interplay between CCTA findings and coronary artery calcium (CAC) scores; and identify independent predictors of coronary plaque. METHODS: Cross-sectional analysis in the MiHeart (Miami Heart Study), a cohort of 2,359 asymptomatic individuals from the Greater Miami Area (mean age 53 years, 50% women, 47% Hispanic/Latino, 43% non-Hispanic White). We estimated the burden of CAC (=0, >0 to <100, ≥100), CCTA-based plaque features (any plaque, stenosis ≥50%, ≥70%, high-risk features), and their interplay. RESULTS: Overall, 58% participants had CAC = 0, 28% CAC >0 to <100, and 13% CAC ≥100. A total of 49% participants had plaque on the CCTA, including 16% among those with CAC = 0. Overall, 6% participants had coronary stenosis ≥50% (12% among those with coronary plaque), 1.8% had stenosis ≥70% (3.7% among those with plaque), and 7% had at least 1 coronary plaque with ≥1 high-risk feature (13.8% among those with plaque). Only 0.8% participants with CAC = 0 had stenosis ≥50%, 0.1% stenosis ≥70%, and 2.3% plaque with high-risk features. In logistic regression models, independent predictors of coronary plaque and high-risk plaque were older age, male sex, tobacco use, diabetes, overweight, and obesity. Male sex, overweight, and obesity were independent predictors of plaque if CAC = 0. CONCLUSIONS: The Miami Heart Study confirms substantial prevalence of coronary plaque in asymptomatic individuals. Overall, 49% of participants had coronary plaque, 6% had stenosis ≥50%, and 7% had plaques with at least 1 high-risk feature. These proportions were 16%, 0.8%, and 2.3%, respectively, among those with CAC = 0. Longitudinal follow-up will shed further light on the prognostic implications of these findings in asymptomatic individuals.

Measures of Financial Hardship From Health Care Expenses Among Families With a Member With Atherosclerotic Cardiovascular Disease in the US.

Importance: Patients with atherosclerotic cardiovascular disease (ASCVD) face substantial financial burden from health care costs as assessed by many disparate measures. However, evaluation of the concordance of existing measures and the prevalence of financial burden based on these measures is lacking. Objective: To compare subjectively reported and objectively measured financial burden from health care in families of patients with ASCVD. Design Setting and Participants: This cross-sectional study used data from the Medical Expenditure Panel Survey, a nationally representative survey of individuals and families in the US, and included all families with 1 or more members with ASCVD from 2014 to 2018. Analyses were conducted from October 2021 to April 2022. Main Outcomes and Measures: Using accepted definitions, objective financial hardship represented annual out-of-pocket medical expenses exceeding 20% of annual postsubsistence income, and subjective financial hardship represented self-reported problems paying medical bills or paying them over time. Prevalence of financial hardship was identified based on individual definitions and their concordance was assessed. Factors associated with each type of financial hardship were examined using risk-adjusted survey logistic regression. Multivariable logistic regression was used to model the odds of subjective financial hardship vs objective financial hardship across subgroups. The association between measures of financial hardship and self-reported deferral of care was also assessed. Results: Among 10 975 families of patients with ASCVD, representing 22.5 million families nationally (mean [SD] age of index individual, 66 [24] years; estimated 54% men]), 37% experienced either objective or subjective financial hardship. This group included 11% (95% CI, 10%-11%) with objective financial hardship, 21% (95% CI, 20%-22%) with subjective financial hardship, and 5% (95% CI, 5%-6%) with both objective and subjective financial hardship. Mean age was 70 (95% CI, 68-71) years vs 61 (95% CI, 60-62) years for index patients in families reporting objective financial hardship only vs subjective financial hardship only, with no difference in sex (50% [95% CI, 46%-54%] of men vs 49% [95% CI, 47%-52%] of women). In risk-adjusted analyses, among families of patients with ASCVD, patient age of 65 years or older was associated with lower odds of subjective financial hardship than objective financial hardship (odds ratio [OR], 0.39; 95% CI, 0.20-0.76), whereas higher income (OR, 6.08; 95% CI, 3.93-9.42 for an income of >100%-200% of the federal poverty level [FPL] vs ≤100% of the FPL and OR, 20.46; 95% CI, 11.45-36.56 for >200% of FPL vs ≤100% of FPL), public insurance (OR, 6.60; 95% CI, 4.20-10.37), and being uninsured (OR, 5.36; 95% CI, 2.61-10.98) were associated with higher odds of subjective financial hardship than objective financial hardship. Subjective financial hardship alone was associated with significantly higher adjusted odds of self-reporting deferred or forgone care compared with objective financial hardship alone (OR, 2.69; 95% CI, 1.79-4.06). Conclusions and Relevance: In this cross-sectional study of US adults, 2 in 5 families of patients with ASCVD experienced health care-related financial hardship, but a focus on objective or subjective measures alone would have captured only half the burden and not identified those deferring health care. The findings suggest that a comprehensive framework that evaluates both objective and subjective measures is essential to monitor financial consequences of health care.

Socioeconomic status, cardiovascular risk profile, and premature coronary heart disease.

Background: The combined influence of traditional cardiovascular risk factors and socioeconomic status (SES) on premature CHD (<65 years) remains understudied. Methods: We used the National Health Interview Survey (NHIS) database (2012-2018) to examine the association of sociodemographic (income, education, insurance status) and cardiovascular risk profile (CRF: ranging from optimal (0-1 risk CV factor) to poor (≥4 risk CV factors)) with CHD in young (18- 44 years) and middle-aged (45-64 years) adults. Results: Among the 168,969 included adults (young: 46.6%), the prevalence of CHD was 3%, translating to 6.4 million young and middle-aged adults. Adults with low family income, lesser education and no insurance were more likely to have CHD. While majority of young adults (65%) had optimal CRF profile and only 4% had poor CRF profile, 26% of middle-aged adults carried poor CRF profile. When examined by income status, education, and insurance status, odds of CHD were increased with worsening CRF profile. In multivariate regressions, low income participants who had a poor CRF (reference: optimal CRF) had higher odds of CHD in both young (aOR: 9.12 [95% CI, 6.16-13.50]) and middle-aged adults (aOR: 8.22 [95% CI, 6.12-11.05]). Within participants with a high school education or lower, those with a poor CRF profile (reference: optimal CRF) had increased odds of CHD in young (aOR: 10.35 [95% CI, 6.66-16.11]) and middle-aged adults (aOR: 10.40 [95% CI, 7.91-13.66]). In the uninsured, those with a poor CRF profile (reference: optimal CRF) had an 8-9 fold increased odds of CHD in young (aOR: 7.65 [95% CI, 4.26-13.73]) and middle-aged adults (aOR: 9.34 [95% CI, 5.90-14.79]). Conclusions: In this national survey, individuals with poor CRF profile had higher odds of premature CHD than those with optimal profile, and burden of CHD increased with worsening of CRF profile.

Subjective Financial Hardship due to Medical Bills Among Patients With Heart Failure in the United States: The 2014-2018 Medical Expenditure Panel Survey.

BACKGROUND: Heart failure (HF) poses a substantial economic burden on the United States (US) health care system. In contrast, little is known about the financial challenges faced by patients with HF. In this study, we examined the scope and sociodemographic predictors of subjective financial hardship due to medical bills incurred by patients with HF. METHODS: In the Medical Expenditure Panel Survey (MEPS; years 2014--2018), a US nationally representative database, we identified all patients who reported having HF. Any subjective financial hardship due to medical bills was assessed based on patients' reporting either themselves or their families (1) having difficulties paying medical bills in the past 12 months, (2) paying bills late or (3) being unable to pay bills at all. Logistic regression was used to evaluate independent predictors of financial hardship among patients with HF. All analyses took into consideration the survey's complex design. RESULTS: A total of 116,563 MEPS participants were included in the analysis, of whom 858 (0.7%) had diagnoses of HF, representing 1.8 million (95% CI 1.6-2.0) patients annually. Overall, 33% (95% CI 29%-38%) reported any financial hardship due to medical bills, and 13.2% were not able to pay bills at all. Age ≤ 65 years and lower educational attainment were independently associated with higher odds of subjective financial hardship due to medical bills. CONCLUSION: Subjective financial hardship is a prevalent issue for patients with HF in the US, particularly those who are younger and have lower educational attainment. There is a need for policies that reduce out-of-pocket costs for the care of HF, an enhanced identification of this phenomenon in the clinical setting, and approaches to help minimize financial toxicity in patients with HF while ensuring optimal quality of care.

Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018.

Importance: Historically marginalized racial and ethnic groups are generally more likely to experience sleep deficiencies. It is unclear how these sleep duration disparities have changed during recent years. Objective: To evaluate 15-year trends in racial and ethnic differences in self-reported sleep duration among adults in the US. Design, Setting, and Participants: This serial cross-sectional study used US population-based National Health Interview Survey data collected from 2004 to 2018. A total of 429 195 noninstitutionalized adults were included in the analysis, which was performed from July 26, 2021, to February 10, 2022. Exposures: Self-reported race, ethnicity, household income, and sex. Main Outcomes and Measures: Temporal trends and racial and ethnic differences in short (<7 hours in 24 hours) and long (>9 hours in 24 hours) sleep duration and racial and ethnic differences in the association between sleep duration and age. Results: The study sample consisted of 429 195 individuals (median [IQR] age, 46 [31-60] years; 51.7% women), of whom 5.1% identified as Asian, 11.8% identified as Black, 14.7% identified as Hispanic or Latino, and 68.5% identified as White. In 2004, the adjusted estimated prevalence of short and long sleep duration were 31.4% and 2.5%, respectively, among Asian individuals; 35.3% and 6.4%, respectively, among Black individuals; 27.0% and 4.6%, respectively, among Hispanic or Latino individuals; and 27.8% and 3.5%, respectively, among White individuals. During the study period, there was a significant increase in short sleep prevalence among Black (6.39 [95% CI, 3.32-9.46] percentage points), Hispanic or Latino (6.61 [95% CI, 4.03-9.20] percentage points), and White (3.22 [95% CI, 2.06-4.38] percentage points) individuals (P < .001 for each), whereas prevalence of long sleep changed significantly only among Hispanic or Latino individuals (-1.42 [95% CI, -2.52 to -0.32] percentage points; P = .01). In 2018, compared with White individuals, short sleep prevalence among Black and Hispanic or Latino individuals was higher by 10.68 (95% CI, 8.12-13.24; P < .001) and 2.44 (95% CI, 0.23-4.65; P = .03) percentage points, respectively, and long sleep prevalence was higher only among Black individuals (1.44 [95% CI, 0.39-2.48] percentage points; P = .007). The short sleep disparities were greatest among women and among those with middle or high household income. In addition, across age groups, Black individuals had a higher short and long sleep duration prevalence compared with White individuals of the same age. Conclusions and Relevance: The findings of this cross-sectional study suggest that from 2004 to 2018, the prevalence of short and long sleep duration was persistently higher among Black individuals in the US. The disparities in short sleep duration appear to be highest among women, individuals who had middle or high income, and young or middle-aged adults, which may be associated with health disparities.

Inflammatory bowel disease and atherosclerotic cardiovascular disease in U.S. adults-A population-level analysis in the national health interview survey.

OBJECTIVES: To evaluate the association between inflammatory bowel disease (IBD) and atherosclerotic cardiovascular disease (ASCVD) and whether this association is modified by age or sex. METHODS: We conducted a cross-sectional analysis using data from the 2015-2016 National Health Interview Survey (NHIS). The exposure of interest was self-reported IBD. The outcome of interest was prevalent ASCVD, which included a history of angina, myocardial infarction or stroke. We used survey-specific descriptive statistics to obtain weighted national estimates for IBD and ASCVD prevalence. Logistic regression models were used to assess the association between IBD and ASCVD, progressively adjusting for demographics and traditional risk factors. Effect modification by age and sex was evaluated. RESULTS: Among participants with IBD, the age-adjusted prevalence of ASCVD was 12.0% compared to 6.9% among those without IBD (p < 0.001). In multivariable regression analyses IBD was associated with increased odds of having ASCVD, even after adjustment for demographics and traditional risk factors (odds ratio 1.58, 95% CI 1.17-2.13). We found statistically significant interaction by age (p < 0.001) whereby those in the younger age strata had the strongest association (fully adjusted odds ratio among 18- to 44-year-olds 3.35, 95% CI 1.75, 6.40) while the association was null in those ≥65 years. Effect modification by sex was not observed. CONCLUSION: Our analysis confirms an independent association between IBD and ASCVD in the U.S., particularly among young adults. Further studies are needed to fully establish a causal relationship between IBD and ASCVD, characterize the mechanisms underlying these associations, and identify tailored opportunities for ASCVD prevention in young and middle-aged adults with IBD.