Nondietary Cardiovascular Health Metrics With Patient Experience and Loss of Productivity Among US Adults Without Cardiovascular Disease: The Medical Expenditure Panel Survey 2006 to 2015

Racial Disparities in Cardiovascular Health Among the Acute Coronary Syndrome Population

The relative distribution of proportions of cardiovascular health (CVH) categories within racial groups has been examined. However, little scientific evidence exists on the gap trend in racial/ethnic disparities in mean CVH score among non-Hispanic (NH) Whites and Blacks. This study examined the trend(s) in the gap(s) in predicted CVH scores between NH Whites and Blacks over 10 years. In a cross-sectional analytical study, 10 years of Medical Expenditure Panel Survey data from 2008 to 2018 were pooled, utilizing multivariate Poisson's regression of CVH metrics on race, while controlling for relevant covariates. The interactions of acute coronary syndrome (ACS) with CVH metrics, and other key variables such as trends and grouped Charlson Comorbidity Index allowed for variations in the effect of these variables on the subgroups. The mean gap in CVH scores was on average 0.15 [95% confidence interval (CI) 0.137 to 0.170], with Blacks consistently having reduced odds of having ideal CVH until 2014. The overall impact of having an ACS decreased acquired CVH scores by 24.1% [95% CI -0.275 to 0.207], and was equal for both racial subgroups (P < 0.05). The Affordable Care Act (ACA)-trend was positive, increasing the likelihood of improved CVH in the sample (P < 0.05), deflecting a downward trend in acquired CVH scores for both races, as the gap narrowed into more recent years. The CVH gap was stabilized by the ACA, but never really converged, suggesting that efforts to reduce existing disparities between Blacks and NH Whites in the United States would require government policies to look beyond mere "access" and/or "affordability" to health care.

Regional Variation in Health Care Utilization Among Adults With Inadequate Cardiovascular Health in the USA

Background Prior evidence of region-level differences in health outcomes and specialized healthcare services in the US poses questions of whether there are differences in utilization of healthcare that may account for regional differences in healthcare outcomes. This study aimed to examine regional differences in healthcare utilization for individuals with poor cardiovascular health (CVH) compared to those with ideal/intermediate CVH.  Methods In this cross-sectional analytical study, two 3-year periods (2008-2010 and 2018-2020) were pooled and analyzed using multivariate Poisson's regression of region on counts of healthcare utilization, while controlling for relevant covariates. The interaction of the non-southern regions with recent years was to reveal how the regional dispersion in healthcare usage was changing over time for the non-southern regions compared to the south. Results The results showed significant regional variation in healthcare usage for individuals with poor CVH, with lower health utilization rates observed primarily in southern states, consistent with higher rates of coronary heart disease in those regions. The impact of a unit improvement on CVH score was to reduce the level of healthcare utilization by 15.7% ([95% CI, 15 - 17%; p < 0.001]) for individuals with poor CVH and 19.1% ([95% CI, 19 - 20%; p < 0.001]) for the intermediate and ideal subgroups, with the Northeast exhibiting the highest level of healthcare usage. Conclusion Our results suggest that there is a need for public health interventions to reduce regional disparities in access to healthcare for the people at greatest risk of cardiovascular events by considering individual factors as well as the broader regional and policy contexts where these people live.

Comparison of cardiovascular health profiles across population surveys from five high- to low-income countries

Aims

With the greatest burden of cardiovascular disease morbidity and mortality increasingly observed in lower-income countries least prepared for this epidemic, focus is widening from risk factor management alone to primordial prevention to maintain high levels of cardiovascular health (CVH) across the life course. To facilitate this, the American Heart Association (AHA) developed CVH scoring guidelines to evaluate and track CVH. We aimed to compare the prevalence and trajectories of high CVH across the life course using nationally representative adult CVH data from five diverse high- to low-income countries.

Methods

Surveys with CVH variables (physical activity, cigarette smoking, body mass, blood pressure, blood glucose, and total cholesterol levels) were identified in Ethiopia, Bangladesh, Brazil, England, and the United States (US). Participants were included if they were 18-69y, not pregnant, and had data for these CVH metrics. Comparable data were harmonized and each of the CVH metrics was scored using AHA guidelines as high (2), moderate (1), or low (0) to create total CVH scores with higher scores representing better CVH. High CVH prevalence by age was compared creating country CVH trajectories.

Results

The analysis included 28,092 adults (Ethiopia n=7686, 55.2% male; Bangladesh n=6731, 48.4% male; Brazil n=7241, 47.9 % male; England n=2691, 49.5% male, and the US n=3743, 50.3% male). As country income level increased, prevalence of high CVH decreased (>90% in Ethiopia, >68% in Bangladesh and under 65% in the remaining countries). This pattern remained using either five or all six CVH metrics and following exclusion of underweight participants. While a decline in CVH with age was observed for all countries, higher income countries showed lower prevalence of high CVH already by age 18y. Excess body weight appeared the main driver of poor CVH in higher income countries, while current smoking was highest in Bangladesh.

Conclusion

Harmonization of nationally representative survey data on CVH trajectories with age in 5 highly diverse countries supports our hypothesis that CVH decline with age may be universal. Interventions to promote and preserve high CVH throughout the life course are needed in all populations, tailored to country-specific time courses of the decline. In countries where CVH remains relatively high, protection of whole societies from risk factor epidemics may still be feasible.

Association between Non-Dietary Cardiovascular Health and Expenditures Related to Acute Coronary Syndrome in the US between 2008-2018

Background: Acute Coronary Syndrome (ACS) causes the most deaths in the United States and accounts for the highest amount of healthcare spending. Cardiovascular Health (CVH) metrics have been widely used in primary prevention, but their benefits in secondary prevention on total healthcare expenditures related to ACS are largely unknown. This study aims to quantify the potential significance of ideal CVH scores as a tool in secondary cardiovascular disease prevention. Methods: In a cross-sectional analytical study, ten years of Medical Expenditure Panel Survey (MEPS) data from 2008 to 2018 were pooled, comparing ACS to non-ACS subgroups, utilizing a Two-part model with log link and gamma distribution, since our sample had both positive and zero costs. Conditional on positive expenditure, healthcare expenditure amounts were measured as a function of ACS status, socio-demographics, and CVH while controlling for relevant covariates. Finally, interactions of ACS with CVH metrics and other key variables were included to allow for variations in the effect of these variables on the two subgroups. Results: Improvements in CVH scores tended to reduce annual expenditures to a greater degree percentage-wise among ACS subjects compared to non-ACS groups, even though subjects with an ACS diagnosis tended to have approximately twice as big expenditures as similar subjects without an ACS diagnosis. Meanwhile, the financial impact of an ACS event on total expenditure would be approximately $88,500 ([95% CI, $70,200-106,900; p < 0.001]), and a unit improvement in CVH management score would generate savings of approximately $4160 ([95% CI, $5390-2950; p < 0.001]) in total health expenditures. Conclusions: Effective secondary preventive measures through targeted behavioral endeavors and improved health factors, especially the normalization of hypertension, diabetes mellitus, body mass index, and smoking cessation, have the potential to reduce medical spending for ACS subgroups.

The Association Between Multiparity and Adipokine Levels: The Multi-Ethnic Study of Atherosclerosis

Background: Multiparity is a risk factor for cardiovascular disease (CVD). However, the mechanisms of this relationship are unknown. Adipokines may predispose multiparous women to certain cardiometabolic complications that can increase their risk of future CVD. Materials and Methods: We studied 973 female participants of the Multi-Ethnic Study of Atherosclerosis free of CVD, who had complete data on parity and adipokines measured at Examination 2 or 3 (randomly assigned). Parity was categorized as nulliparity, 1-2, 3-4, and ≥5 live births. Multivariable linear regression was used to evaluate the association of parity with leptin, resistin, and adiponectin levels. Results: The women had mean age of 65 ± 9 years. After adjustment for age, race/ethnicity, study site, education, menopause status, smoking, physical activity, use of hormone therapy, and waist circumference, a history of grand multiparity (≥5 live births) was associated with 11% higher resistin levels (95% confidence interval [CI] 0-23) and 3-4 live births was associated with 23% higher leptin levels (95% CI 7-42), compared with nulliparity. After adjustment for computed tomography-measured visceral fat, the association of 3-4 live births with leptin remained significant. There were no significant associations of parity with adipokines after further adjustment for additional CVD risk factors. Multigravidity (but not parity) was inversely associated with adiponectin levels. Conclusions: In a multiethnic cohort of women, greater parity was associated with resistin and leptin; however, this association was attenuated after accounting for CVD risk factors. Dysregulation of adipokines could contribute to the excess CVD risk associated with multiparity. Further studies are needed to determine whether adipokines independently mediate the relationship between multiparity and CVD. Clinical trials registration: The MESA cohort is registered at NCT00005487.

Income disparity and utilization of cardiovascular preventive care services among U.S. adults

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Low income individuals are less likely to receive smoking cessation counseling.

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Low income individuals are less likely to have their blood pressure checked.

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Low income individuals are less likely to be receive exercise counseling.

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Low income individuals are less likely to receive dietary counseling.

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Low income individuals are less likely to have their cholesterol levels checked.

Objective

: Associations between income disparity and utilization of cardiovascular disease (CVD) preventive care services, such as receipt of lifestyle advice and screening for CVD risk factors in populations with and without CVD, are not well understood. The purpose of this study was to evaluate associations between income and utilization of CVD-preventive services among U.S. adults.

Methods

: We included adults ≥18 years with and without CVD from the 2006 to 2015 Medical Expenditure Panel Survey. We categorized participants as high-income (>400% of federal poverty level [FPL]), middle income (200–400% of FPL), low-income (125–200% of FPL) and very low (VL)-income (<125% of FPL). We used logistic regression to compare the likelihood of receiving CVD-preventive services by income strata, adjusting for sociodemographic factors and comorbidities.

Results

: The study included 185,081 participants (representing 194.6 million U.S. adults) without CVD, and 32,862 participants (representing 37 million U.S. adults) with CVD. VL-income adults without CVD were less likely than high-income adults to have blood pressure measured within past 2 years [odds ratio [OR] 0.41 (95% confidence interval [CI] 0.37–0.45)] or cholesterol levels checked within past 5 years [0.36 (0.33–0.38)] or receive counseling about diet modifications [0.77 (0.74–0.81)], exercise [0.81 (0.77–0.85)], or smoking cessation [0.71 (0.63–0.79)] within past year. VL-income adults with CVD were also less likely to have blood pressure [0.32 (0.22–0.46)] or cholesterol [0.33 (0.26–0.42)] checked and receive counseling about exercise [0.84 (0.76–0.93)] or smoking cessation [0.78 (0.61–0.99)]. Additional subgroup analyses restricted to participants who had seen a healthcare provider within the preceding 12 months, as well as secondary analyses stratified by sex, race and ethnicity, showed similar disparities between high-income and VL-income participants.

Conclusions

: VL-income adults were less likely to be screened for CVD risk factors or receive CVD-prevention counseling than high-income adults, regardless of CVD status. More work must be done to reduce disparities in access to and utilization of CVD-preventive services among adults in different income groups.

Further understanding of ideal cardiovascular health score metrics and cardiovascular disease

INTRODUCTION

The American Heart Association (AHA) introduced the construct of 'cardiovascular health (CVH)', to focus on primordial prevention to reduce the burden of cardiovascular disease (CVD). The CVH score includes seven health and behavioral metrics (smoking, physical activity, body mass index, diet, total cholesterol, blood pressure, blood glucose), which are characterized as being ideal, intermediate, or poor.

AREAS COVERED

In this review, we describe the utility of the CVH score for monitoring and promoting wellness, overall and by key sociodemographic groups, and for tracking of temporal trends.

EXPERT OPINION

Notably, the seven factors are all modifiable, which differs from 10-year CVD risk scores that include non-modifiable components such as age, sex, and race. Numerous epidemiological studies have shown that achievement of a greater number of ideal CVH metrics is associated with lower incidences of CVD, cardiovascular mortality, and all-cause mortality. Longer duration of favorable CVH is associated with greater longevity and compressed morbidity. Nevertheless, the prevalence of favorable CVH is low, with <20% of U.S. adults meeting ≥5 metrics at ideal levels and significant racial/ethnic disparities persist. Many challenges must be overcome to improve CVH at individual and societal levels if the AHA Impact Goals are to be fully realized.

Estimated Impact of Achieving Optimal Cardiovascular Health Among US Adults on Cardiovascular Disease Events

Background Better cardiovascular health (CVH) scores are associated with lower risk of cardiovascular disease (CVD). However, estimates of the potential population-level impact of improving CVH on US CVD event rates are not currently available. Methods and Results Using data from the National Health and Nutrition Examination Survey 2011 to 2016 (n=11 696), we estimated the proportions of US adults in CVH groups. Levels of 7 American Heart Association CVH metrics were scored as ideal (2 points), intermediate (1 point), or poor (0 points), and summed to define overall CVH (low, 0-8 points; moderate, 9-11 points; or high, 12-14 points). Using individual-level data from 7 US community-based cohort studies (n=30 447), we estimated annual incidence rates of major CVD events by levels of CVH. Using the combined data sources, we estimated population attributable fractions of CVD and the number of CVD events that could be prevented annually if all US adults achieved high CVH. High CVH was identified in 7.3% (95% CI, 6.3%-8.3%) of US adults. We estimated that 70.0% (95% CI, 56.5%-79.9%) of CVD events were attributable to low and moderate CVH. If all US adults attained high CVH, we estimated that 2.0 (95% CI, 1.6-2.3) million CVD events could be prevented annually. If all US adults with low CVH attained moderate CVH, we estimated that 1.2 (95% CI, 1.0-1.4) million CVD events could be prevented annually. Conclusions The potential benefits of achieving high CVH in all US adults are considerable, and even a partial improvement in CVH scores would be highly beneficial.

Sex Differences in the Age of Diagnosis for Cardiovascular Disease and Its Risk Factors Among US Adults: Trends From 2008 to 2017, the Medical Expenditure Panel Survey

Background Sex differences in the trends for control of cardiovascular disease (CVD) risk factors have been described, but temporal trends in the age at which CVD and its risk factors are diagnosed and sex-specific differences in these trends are unknown. Methods and Results We used the Medical Expenditure Panel Survey 2008 to 2017, a nationally representative sample of the US population. Individuals ≥18 years, with a diagnosis of hypercholesterolemia, hypertension, coronary heart disease, or stroke, and who reported the age when these conditions were diagnosed, were included. We included 100 709 participants (50.2% women), representing 91.9 million US adults with above conditions. For coronary heart disease and hypercholesterolemia, mean age at diagnosis was 1.06 and 0.92 years older for women, compared with men, respectively (both P<0.001). For stroke, mean age at diagnosis for women was 1.20 years younger than men (P<0.001). The mean age at diagnosis of CVD risk factors became younger over time, with steeper declines among women (annual decrease, hypercholesterolemia [women, 0.31 years; men 0.24 years] and hypertension [women, 0.23 years; men, 0.20 years]; P<0.001). Coronary heart disease was not statistically significant. For stroke, while age at diagnosis decreased by 0.19 years annually for women (P=0.03), it increased by 0.22 years for men (P=0.02). Conclusions The trend in decreasing age at diagnosis for CVD and its risk factors in the United States appears to be more pronounced among women. While earlier identification of CVD risk factors may provide opportunity to initiate preventive treatment, younger age at diagnosis of CVD highlights the need for the prevention of CVD earlier in life, and sex-specific interventions may be needed.

Nondietary Cardiovascular Health Metrics With Patient Experience and Loss of Productivity Among US Adults Without Cardiovascular Disease: The Medical Expenditure Panel Survey 2006 to 2015

Background

The American Heart Association 2020 Impact Goals aimed to promote population health through emphasis on cardiovascular health (CVH). We examined the association between nondietary CVH metrics and patient‐reported outcomes among a nationally representative sample of US adults without cardiovascular disease.

Methods and Results

We included adults aged ≥18 years who participated in the Medical Expenditure Panel Survey between 2006 and 2015. CVH metrics were scored 1 point for each of the following: not smoking, being physically active, normal body mass index, no hypertension, no diabetes mellitus, and no dyslipidemia, or 0 points if otherwise. Diet was not assessed in Medical Expenditure Panel Survey. Patient‐reported outcomes were obtained by telephone survey and included questions pertaining to patient experience and health‐related quality of life. Regression models were used to compare patient‐reported outcomes based on CVH, adjusting for sociodemographic factors and comorbidities. There were 177 421 Medical Expenditure Panel Survey participants (mean age, 45 [17] years) representing ~187 million US adults without cardiovascular disease. About 12% (~21 million US adults) had poor CVH. Compared with individuals with optimal CVH, those with poor CVH had higher odds of reporting poor patient‐provider communication (odds ratio, 1.14; 95% CI, 1.05–1.24), poor healthcare satisfaction (odds ratio, 1.15; 95% CI, 1.08–1.22), poor perception of health (odds ratio, 5.89; 95% CI, 5.35–6.49), at least 2 disability days off work (odds ratio, 1.39; 95% CI, 1.30–1.48), and lower health‐related quality of life scores.

Conclusions

Among US adults without cardiovascular disease, meeting a lower number of ideal CVH metrics is associated with poor patient‐reported healthcare experience, poor perception of health, and lower health‐related quality of life. Preventive measures aimed at optimizing ideal CVH metrics may improve patient‐reported outcomes among this population.