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.

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.

Delayed medical care due to transportation barriers among adults with atherosclerotic cardiovascular disease.

BACKGROUND: In patients with atherosclerotic cardiovascular disease (ASCVD), barriers related to transportation may impair access to care, with potential implications for prognosis. Although few studies have explored transportation barriers among patients with ASCVD, the correlates of delayed care due to transportation barriers have not been examined in this population. We aimed to examine this in U.S. patients with ASCVD using nationally representative data. METHODS: Using data from the 2009-2018 National Health Interview Survey, we estimated the self-reported prevalence of delayed medical care due to transportation barriers among adults with ASCVD, overall and by sociodemographic characteristics. Logistic regression was used to examine the association between various sociodemographic characteristics and delayed care due to transportation barriers. RESULTS: Among adults with ASCVD, 4.5% (95% CI; 4.2, 4.8) or ∼876,000 annually reported delayed care due to transportation barriers. Income (low-income: odds ratio [OR] 4.43, 95% CI [3.04, 6.46]; lowest-income: OR 6.35, 95% CI [4.36, 9.23]) and Medicaid insurance (OR 4.53; 95% CI [3.27, 6.29]) were strongly associated with delayed care due to transportation barriers. Additionally, younger individuals, women, non-Hispanic Black adults, and those from the U.S. South or Midwest, had higher odds of reporting delayed care due to transportation barriers. CONCLUSIONS: Approximately 5% of adults with ASCVD experience delayed care due to transportation barriers. Vulnerable groups include young adults, women, low-income people, and those with public/no insurance. Future studies should analyze the feasibility and potential benefits of interventions such as use of telehealth, mobile clinics, and provision of transportation among patients with ASCVD in the U.S.

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.

Financial Hardship Among Nonelderly Adults With CKD in the United States.

RATIONALE & OBJECTIVE: The burden of financial hardship among individuals with chronic kidney disease (CKD) has not been extensively studied. Therefore, we describe the scope and determinants of financial hardship among a nationally representative sample of adults with CKD. STUDY DESIGN: Cross-sectional. SETTING & PARTICIPANTS: Nonelderly adults with CKD from the 2014-2018 National Health Interview Survey. EXPOSURE: Sociodemographic and clinical characteristics. OUTCOME: Financial hardship based on medical bills and consequences of financial hardship (high financial distress, food insecurity, cost-related medication nonadherence, delayed/forgone care due to cost). Financial hardship was categorized into 3 levels: no financial hardship, financial hardship but able to pay bills, and unable to pay bills at all. Financial hardship was then modeled in 2 different ways: (1) any financial hardship (regardless of ability to pay) versus no financial hardship and (2) inability to pay bills versus no financial hardship and financial hardship but able to pay bills. ANALYTICAL APPROACH: Nationally representative estimates of financial hardship from medical bills were computed. Multivariable logistic regression models were used to examine the associations of sociodemographic and clinical factors with the outcomes of financial hardship based on medical bills. RESULTS: A total 1,425 individuals, representing approximately 2.1 million Americans, reported a diagnosis of CKD within the past year, of whom 46.9% (95% CI, 43.7%-50.2%) reported experiencing financial hardship from medical bills; 20.9% (95% CI, 18.5%-23.6%) reported inability to pay medical bills at all. Lack of insurance was the strongest determinant of financial hardship in this population (odds ratio, 4.06 [95% CI, 2.18-7.56]). LIMITATIONS: Self-reported nature of CKD diagnosis. CONCLUSIONS: Approximately half the nonelderly US population with CKD experiences financial hardship from medical bills that is associated strongly with lack of insurance. Evidence-based clinical and policy interventions are needed to address these hardships.

Social Determinants of Health and Cardiovascular Disease: Current State and Future Directions Towards Healthcare Equity.

PURPOSE OF REVIEW: We sought to examine the role of social and environmental conditions that determine an individual's behaviors and risk of disease-collectively known as social determinants of health (SDOH)-in shaping cardiovascular (CV) health of the population and giving rise to disparities in risk factors, outcomes, and clinical care for cardiovascular disease (CVD), the leading cause of death in the United States (US). RECENT FINDINGS: Traditional CV risk factors have been extensively targeted in existing CVD prevention and management paradigms, often with little attention to SDOH. Limited evidence suggests an association between individual SDOH (e.g., income, education) and CVD. However, inequities in CVD care, risk factors, and outcomes have not been studied using a broad SDOH framework. We examined existing evidence of the association between SDOH-organized into 6 domains, including economic stability, education, food, neighborhood and physical environment, healthcare system, and community and social context-and CVD. Greater social adversity, defined by adverse SDOH, was linked to higher burden of CVD risk factors and poor outcomes, such as stroke, myocardial infarction (MI), coronary heart disease, heart failure, and mortality. Conversely, favorable social conditions had protective effects on CVD. Upstream SDOH interact across domains to produce cumulative downstream effects on CV health, via multiple physiologic and behavioral pathways. SDOH are major drivers of sociodemographic disparities in CVD, with a disproportionate impact on socially disadvantaged populations. Efforts to achieve health equity should take into account the structural, institutional, and environmental barriers to optimum CV health in marginalized populations. In this review, we highlight major knowledge gaps for each SDOH domain and propose a set of actionable recommendations to inform CVD care, ensure equitable distribution of healthcare resources, and reduce observed disparities.

Prevalence and predictors of cost-related medication nonadherence in individuals with cardiovascular disease: Results from the Behavioral Risk Factor Surveillance System (BRFSS) survey.

Medication nonadherence is highly prevalent among patients with chronic cardiovascular disease. Poor adherence has been associated with increased morbidity and mortality. Medication cost is a major driver for medication nonadherence. Utilizing data from the 2016 to 2018 Behavioral Risk Factor Surveillance System (BRFSS) survey, we estimated the prevalence of cost-related medication nonadherence (CRMNA) among the overall population and among individuals who reported a history of diabetes, atherosclerotic cardiovascular disease (ASCVD), or hypertension. We then performed multivariable logistic regression to analyze sociodemographic factors associated with CRMNA. Our study population consisted of 142,577 individuals of whom 24% were older than 65 years, 47% were men, 66% were White, 17% Black, 35% had hypertension, 13% had diabetes mellitus, and 10% had ASCVD. CRMNA was reported in 10% of the overall population, 12% among those with hypertension, 17% among those with diabetes, and 17% among those with ASCVD. Age below 65 years, female gender, unemployment, lower income, lower educational attainment, having at least 1 comorbidity, and living in a state that did not expand Medicaid were independently associated with CRMNA. The prevalence of CRMNA increased with greater number of these high-risk sociodemographic factors. We conclude that the prevalence of CRMNA is 10% among U.S. adults overall and is higher among those with common chronic diseases. Risk factors associated with CRMNA should be addressed in order to improve adherence rates and health outcomes among high-risk individuals.

Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018.

IMPORTANCE: The elimination of racial and ethnic differences in health status and health care access is a US goal, but it is unclear whether the country has made progress over the last 2 decades. OBJECTIVE: To determine 20-year trends in the racial and ethnic differences in self-reported measures of health status and health care access and affordability among adults in the US. DESIGN, SETTING, AND PARTICIPANTS: Serial cross-sectional study of National Health Interview Survey data, 1999-2018, that included 596 355 adults. EXPOSURES: Self-reported race, ethnicity, and income level. MAIN OUTCOMES AND MEASURES: Rates and racial and ethnic differences in self-reported health status and health care access and affordability. RESULTS: The study included 596 355 adults (mean [SE] age, 46.2 [0.07] years, 51.8% [SE, 0.10] women), of whom 4.7% were Asian, 11.8% were Black, 13.8% were Latino/Hispanic, and 69.7% were White. The estimated percentages of people with low income were 28.2%, 46.1%, 51.5%, and 23.9% among Asian, Black, Latino/Hispanic, and White individuals, respectively. Black individuals with low income had the highest estimated prevalence of poor or fair health status (29.1% [95% CI, 26.5%-31.7%] in 1999 and 24.9% [95% CI, 21.8%-28.3%] in 2018), while White individuals with middle and high income had the lowest (6.4% [95% CI, 5.9%-6.8%] in 1999 and 6.3% [95% CI, 5.8%-6.7%] in 2018). Black individuals had a significantly higher estimated prevalence of poor or fair health status than White individuals in 1999, regardless of income strata (P < .001 for the overall and low-income groups; P = .03 for middle and high-income group). From 1999 to 2018, racial and ethnic gaps in poor or fair health status did not change significantly, with or without income stratification, except for a significant decrease in the difference between White and Black individuals with low income (-6.7 percentage points [95% CI, -11.3 to -2.0]; P = .005); the difference in 2018 was no longer statistically significant (P = .13). Black and White individuals had the highest levels of self-reported functional limitations, which increased significantly among all groups over time. There were significant reductions in the racial and ethnic differences in some self-reported measures of health care access, but not affordability, with and without income stratification. CONCLUSIONS AND RELEVANCE: In a serial cross-sectional survey study of US adults from 1999 to 2018, racial and ethnic differences in self-reported health status, access, and affordability improved in some subgroups, but largely persisted.

Cost-Related Medication Nonadherence in Adults With Atherosclerotic Cardiovascular Disease in the United States, 2013 to 2017.

BACKGROUND: Medication nonadherence is associated with worse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD), a group who requires long-term therapy for secondary prevention. It is important to understand to what extent drug costs, which are potentially actionable factors, contribute to medication nonadherence. METHODS: In a nationally representative survey of US adults in the National Health Interview Survey (2013-2017), we identified individuals ≥18 years with a reported history of ASCVD. Participants were considered to have experienced cost-related nonadherence (CRN) if in the preceding 12 months they reported skipping doses to save money, taking less medication to save money, or delaying filling a prescription to save money. We used survey analysis to obtain national estimates. RESULTS: Of the 14 279 surveyed individuals with ASCVD, a weighted 12.6% (or 2.2 million [95% CI, 2.1-2.4]) experienced CRN, including 8.6% or 1.5 million missing doses, 8.8% or 1.6 million taking lower than prescribed doses, and 10.5% or 1.9 million intentionally delaying a medication fill to save costs. Age <65 years, female sex, low family income, lack of health insurance, and high comorbidity burden were independently associated with CRN, with >1 in 5 reporting CRN in these subgroups. Survey respondents with CRN compared with those without CRN had 10.8-fold higher odds of requesting low-cost medications and 8.9-fold higher odds of using alternative, nonprescription, therapies. CONCLUSIONS: One in 8 patients with ASCVD reports nonadherence to medications because of cost. The removal of financial barriers to accessing medications, particularly among vulnerable patient groups, may help improve adherence to essential therapy to reduce ASCVD morbidity and mortality.

Association Between Sociodemographic Determinants and Disparities in Stroke Symptom Awareness Among US Young Adults.

BACKGROUND AND PURPOSE: Despite declining stroke rates in the general population, stroke incidence and hospitalizations are rising among younger individuals. Awareness of and prompt response to stroke symptoms are crucial components of a timely diagnosis and disease management. We assessed awareness of stroke symptoms and response to a perceived stroke among young adults in the United States. METHODS: Using data from the 2017 National Health Interview Survey, we assessed awareness of 5 common stroke symptoms and the knowledge of planned response (ie, calling emergency medical services) among young adults (<45 years) across diverse sociodemographic groups. Common stroke symptoms included: (1) numbness of face/arm/leg, (2) confusion/trouble speaking, (3) difficulty walking/dizziness/loss of balance, (4) trouble seeing in one/both eyes, and (5) severe headache. RESULTS: Our study population included 24 769 adults, of which 9844 (39.7%) were young adults who were included in our primary analysis, and represented 107.2 million US young adults (mean age 31.3 [±7.5] years, 50.6% women, and 62.2% non-Hispanic White). Overall, 2718 young adults (28.9%) were not aware of all 5 stroke symptoms, whereas 242 individuals (2.7%; representing 2.9 million young adults in the United States) were not aware of a single symptom. After adjusting for confounders, Hispanic ethnicity (odds ratio, 1.96 [95% CI, 1.17-3.28]), non-US born immigration status (odds ratio, 2.02 [95% CI, 1.31-3.11]), and lower education level (odds ratio, 2.77 [95% CI, 1.76-4.35]), were significantly associated with lack of symptom awareness. Individuals with 5 high-risk characteristics (non-White, non-US born, low income, uninsured, and high school educated or lower) had nearly a 4-fold higher odds of not being aware of all symptoms (odds ratio, 3.70 [95% CI, 2.43-5.62]). CONCLUSIONS: Based on data from the National Health Interview Survey, a large proportion of young adults may not be aware of stroke symptoms. Certain sociodemographic subgroups with decreased awareness may benefit from focused public health interventions.

Financial Hardship After Traumatic Injury: Risk Factors and Drivers of Out-of-Pocket Health Expenses.

BACKGROUND: Trauma-related disorders rank among the top five most costly medical conditions to the health care system. However, the impact of out-of-pocket (OOP) health expenses for traumatic conditions is not known. In this cross-sectional study, we use nationally representative data to investigate whether patients with a traumatic injury experienced financial hardship from OOP health expenses. METHODS: Using data from the Medical Expenditure Panel Survey from 2010 to 2015, we analyzed the financial burden associated with a traumatic injury. Primary outcomes were excess financial burden (OOP>20% of annual income) and catastrophic medical expenses (OOP>40% of annual income). A multivariable logistic regression analysis evaluated whether these outcomes were associated with traumatic injury, adjusting for demographic, socioeconomic, and health care factors. We then completed a descriptive analysis to elucidate drivers of total OOP expenses. RESULTS: Of the 90,964 families in the cohort, 6434 families had a traumatic injury requiring a visit to the emergency room and 668 families had a traumatic injury requiring hospitalization. Overall 1 in 8 households with an injured family member requiring hospitalization experienced financial hardship. These families were more likely to experience excess financial burden (OR: 2.04, 95% CI: 1.13-3.64) and catastrophic medical expenses (OR: 3.08, 95% CI: 1.37-6.9). The largest burden of OOP expenses was due to prescription drug costs, with inpatient costs as a major driver of OOP expenses for those requiring hospitalization. CONCLUSIONS: Households with an injured family member requiring hospitalization are significantly more vulnerable to financial hardship from OOP health expenses than the noninjured population. Prescription drug and inpatient costs were the most significant drivers of OOP health expenses.

Association of Depression Risk with Patient Experience, Healthcare Expenditure, and Health Resource Utilization Among Adults with Atherosclerotic Cardiovascular Disease.

BACKGROUND: Approximately 20% of patients with atherosclerotic cardiovascular disease (ASCVD) suffer from depression. OBJECTIVE: To compare healthcare expenditures and utilization, healthcare-related quality of life, and patient-centered outcomes among ASCVD patients, based on their risk for depression (among those without depression), and those with depression (vs. risk-stratified non-depressed). DESIGN AND SETTING: The 2004-2015 Medical Expenditure Panel Survey (MEPS) was used for this study. PARTICIPANTS: Adults ≥ 18 years with a diagnosis of ASCVD, ascertained by ICD-9 codes and/or self-reported data. Individuals with a diagnosis of depression were identified by ICD-9 code 311. Participants were stratified by depression risk, based on the Patient Health Questionnaire-2. RESULTS: A total of 19,840 participants were included, translating into 18.3 million US adults, of which 8.6% (≈ 1.3 million US adults) had a high risk for depression and 18% had a clinical diagnosis of depression. Among ASCVD patients without depression, those with a high risk (compared with low risk) had increased overall and out-of-pocket expenditures (marginal differences of $2880 and $287, respectively, both p < 0.001), higher odds for resource utilization, and worse patient experience and healthcare quality of life (HQoL). Furthermore, compared with individuals who had depression, participants at high risk also reported worse HQoL and had higher odds of poor perception of their health status (OR 1.83, 95% CI [1.50, 2.23]) and poor patient-provider communication (OR 1.29 [1.18, 1.42]). LIMITATION: The sample population includes self-reported diagnosis of ASCVD; therefore, the risk of underestimation of the cohort size cannot be ruled out. CONCLUSION: Almost 1 in 10 individuals with ASCVD without diagnosis of depression is at high risk for it and has worse health outcomes compared with those who already have a diagnosis of depression. Early recognition and treatment of depression may increase healthcare efficiency, positive patient experience, and HQoL among this vulnerable population.

Association of Income Disparities with Patient-Reported Healthcare Experience.

BACKGROUND: Disparities in health outcome exist among patients according to socioeconomic status. However, little is known regarding the differences in healthcare experiences across the various levels of income of patients. In a nationally representative US adult population, we evaluate the differences in healthcare experiences based on patient level of income. OBJECTIVES: To evaluate the differences in patient healthcare experiences based on level of income. PATIENTS AND METHODS: We identified 68,447 individuals (mean age, 48 ± 18 years; 55% female) representing 176.8 million US adults, who had an established healthcare provider in the 2010-2013 Medical Expenditure Panel Survey cohort. This retrospective study examined the differences in all five patient-reported healthcare experience measures (access to care, provider responsiveness, patient-provider communication, shared decision-making, and patient satisfaction) under the Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey. We examined the relationship between patient income and their healthcare experience. RESULTS: Overall, 32% of the study participants were high-income earners while 23% had very-low income. Lower income was consistently associated with poor patient report on healthcare experience. Compared with those with high income, very-low-income-earning participants had 1.63 times greater odds (OR 1.63, 95% CI 1.45-1.82) of experiencing difficulty accessing care, had 1.34 times higher odds (OR 1.34, 95% CI 1.25-1.45) of experiencing poor communication, had higher odds (OR 1.68, 95% CI 1.46-1.92) of experiencing delays in healthcare delivery, and were more likely to report poor provider satisfaction (OR 1.48, 95% CI 1.37-1.61). CONCLUSION: Lower income-earning patients have poorer healthcare experience in all aspects of access and quality of care. Targeted policies focusing on improving communication, engagement, and satisfaction are needed to enhance patient healthcare experience for this vulnerable population.

Gaps in provider lifestyle counseling and its adherence among obese adults with prediabetes and diabetes in the United States.

Obesity is an epidemic affecting about 40% of the US adult population. Tracking with the obesity epidemic is an increase in the prevalence of diabetes and pre-diabetes. Both pre-diabetes and diabetes are often coexistent with obesity and contribute to an increased total and cardiovascular disease related morbidity and mortality. Lifestyle modification is usually the first step in management among individuals with obesity and/or pre-diabetes or diabetes, but remains an unfulfilled potential by healthcare providers to promote healthier lifestyles in obese patients. We aimed to describe the current patterns of lifestyle counseling (diet, physical activity, and weight loss) and their adherence by patients with obesity in the US using the National Health Interview Survey, 2016-2017. We analyzed these patterns among individuals with pre-diabetes and diabetes. We found that, regardless of pre-diabetes or diabetes status, almost 1 in 3 individuals with mild obesity (BMI ≥ 30 & < 35) and 1 in 4 with severe obesity (BMI ≥ 35) reported lack of lifestyle counseling from healthcare providers regarding diet or physical activity, and 2 in 3 individuals with any level of obesity reported lack of referral/counsel concerning weight loss programs. Lifestyle counseling and its compliance among obese adults from a contemporary dataset in the US is still suboptimal. This study highlights the gaps in the implementation of the AHA/ACC 2013 guidelines on management of obesity among adults particularly among those with metabolic disease, who would derive the greatest benefit.

Association between self-rated health and ideal cardiovascular health: The Baptist Health South Florida Employee Study.

Background: There is increasing evidence of the role psychosocial factors play as determinants of cardiovascular health (CVH). We examined the association between self-rated health (SRH) and ideal CVH among employees of a large healthcare organization. Methods: Data were collected in 2014 from employees of Baptist Health South Florida during an annual voluntary health risk assessment and wellness fair. SRH was measured using a self-administered questionnaire where responses ranged from poor, fair, good, very good to excellent. A CVH score (the proxy for CVH) that ranged from 0 to 14 was calculated, where 0-8 indicate an inadequate score, 9-10, average and 11-14, optimal. A multinomial logistic regression was used to examine the association between SRH and CVH. Results: Of the 9056 participants, 75% were female and mean age (SD) was 43 ± 12 years. The odds of having a higher CVH score increased as SRH improved. With participants who reported their health status as poor-fair serving as reference, adjusted odds ratios for having an optimal CVH score by the categories of SRH were: excellent, 21.04 (15.08-29.36); very good 10.04 (7.25-13.9); and good 3.63 (2.61-5.05). Conclusion: Favorable SRH was consistently associated with better CVH.

EUS-guided drainage of pancreatic pseudocysts offers similar success and complications compared to surgical treatment but with a lower cost.

BACKGROUND AND AIM: Pancreatic pseudocysts (PPC) are a complication that occurs in acute and chronic pancreatitis. They comprise 75% of cystic lesions of the pancreas. There are scarce data about surgical versus endoscopic treatment on PPC. The aim of this study was to compare both treatment modalities regarding clinical success, complication rate, recurrence, hospital stay and cost. METHODS: Retrospectively, data obtained prospectively from 2000 to 2012 were analyzed. A PPC was defined as a fluid collection in the pancreatic or peripancreatic area that had a well-defined wall and contained no solid debris or recognizable parenchymal necrosis. Clinical success was defined as complete resolution or a decrease in size of the PPC to 2 cm or smaller. RESULTS: Overall, 64 procedures in 61 patients were included: 21 (33%) cases were drained endoscopically guided by EUS and 43 (67%) cases were drained surgically. The clinical success of the endoscopic group was 90.5 versus 90.7% for the surgical group (P = 0.7), with a complication rate of 23.8 and 25.6%, respectively (P = 0.8), and a mortality rate of 0 and 2.3% for each group, respectively (P = 0.4). The hospital stay was lower for the endoscopic group: 0 (0-10) days compared with 7 (2-42) days in the surgical group (P < 0.0001). Likewise, the cost was lower in the endoscopic group (P < 0.001). The recurrence rate was similar in both groups: 9.5 and 4.5% respectively (P = 0.59). The two recurrences found in the endoscopic group were associated with stent migration, and the recurrence in the surgical group was due to the type of surgery performed (open drainage). CONCLUSION: Endoscopic treatment of PPC offers the same clinical success, recurrence, complication and mortality rate as surgical treatment but with a shorter hospital stay and lower costs.

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.

Association between high risk of obstructive sleep apnea and inflammatory markers in a population sample of young and middle-aged adults in the Miami Heart Study.

STUDY OBJECTIVES: There are limited data depicting the association between high risk of OSA and the levels of inflammatory markers in a population-based sample free from CVD. In a large U.S. cohort enriched with a Hispanic population and free of cardiovascular disease (CVD), we aimed to assess the association between high risk of obstructive sleep apnea (OSA) and inflammatory markers. METHODS: We analyzed data for 2359 clinical CVD-free participants from the Miami Heart Study, aged 40-65 (May 2015 - Sept 2018). High risk of OSA included those with a high risk using the Berlin questionnaire. Poisson regression analyses were utilized to examine the associations between high risk of OSA (reference: low risk of OSA) and hs-CRP, IL-6, and TNF-α levels (continuous) in univariate and multivariate models (adjusting for age, sex, race/ethnicity, and BMI, diabetes, hypertension, high cholesterol, and smoking). RESULTS: 552 (28%) participants were categorized as having a high risk of OSA. Patients with a high risk of OSA had higher median values of hs-CRP (2.3 vs. 1.0), IL-6 (1.9 vs. 1.4), and TNF-α (1.2 vs. 1.1) when compared to those with a low risk of OSA (all p < 0.001). When adjusting for age, sex, and race/ethnicity, the mean difference between patients with high and low risk of OSA in hs-CRP was 2.04 (95% CI 1.85, 2.23), and 0.73 (95% CI 0.57, 0.89) in IL-6. These differences were attenuated when further adjusting for CVD risk factors but remained statistically significant for hs-CRP: (0.38, 95% CI 0.21, 0.55). CONCLUSIONS: After accounting for CVD risk factors, individuals at high risk of OSA had significantly higher levels of hs-CRP, suggesting that OSA screening identified subclinical inflammation in this population sample of individuals free of CVD.

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.

Lipoprotein(a) and Coronary Plaque in Asymptomatic Individuals: The Miami Heart Study at Baptist Health South Florida.

BACKGROUND: Elevated levels of lipoprotein(a) (Lp(a)) are independently associated with an increased risk of atherosclerotic cardiovascular disease events. However, the mechanisms driving this association are poorly understood. We aimed to evaluate the association between Lp(a) and coronary plaque characteristics in a contemporary US cohort without clinical atherosclerotic cardiovascular disease, undergoing coronary computed tomography angiography, the noninvasive gold standard for the assessment of coronary atherosclerosis. METHODS: We used baseline data from the Miami Heart Study-a community-based, prospective cohort study-which included asymptomatic adults aged 40 to 65 years evaluated using coronary computed tomography angiography. Those taking any lipid-lowering therapies were excluded. Elevated Lp(a) was defined as ≥125 nmol/L. Outcomes included any plaque, coronary artery calcium score >0, maximal stenosis ≥50%, presence of any high-risk plaque feature (positive remodeling, spotty calcification, low-attenuation plaque, napkin ring), and the presence of ≥2 high-risk plaque features. RESULTS: Among 1795 participants (median age, 52 years; 54.3% women; 49.6% Hispanic), 291 (16.2%) had Lp(a) ≥125 nmol/L. In unadjusted analyses, individuals with Lp(a) ≥125 nmol/L had a higher prevalence of all outcomes compared with Lp(a) <125 nmol/L, although differences were only statistically significant for the presence of any coronary plaque and ≥2 high-risk features. In multivariable models, elevated Lp(a) was independently associated with the presence of any coronary plaque (odds ratio, 1.40, [95% CI, 1.05-1.86]) and with ≥2 high-risk features (odds ratio, 3.94, [95% CI, 1.82-8.52]), although only 35 participants had this finding. Among participants with a coronary artery calcium score of 0 (n=1200), those with Lp(a) ≥125 nmol/L had a significantly higher percentage of any plaque compared with those with Lp(a) <125 nmol/L (24.2% versus 14.2%; P<0.001). CONCLUSIONS: In this contemporary analysis, elevated Lp(a) was independently associated with the presence of coronary plaque. Larger studies are needed to confirm the strong association observed with the presence of multiple high-risk coronary plaque features.