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      Race, Racism, and Cardiovascular Health: Applying a Social Determinants of Health Framework to Racial/Ethnic Disparities in Cardiovascular Disease

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          Abstract

          Health care in the United States has seen many great innovations and successes in the past decades. However, to this day, the color of a person’s skin determines—to a considerable degree—his/her prospects of wellness; risk of disease, and death; and the quality of care received. Disparities in cardiovascular disease (CVD)—the leading cause of morbidity and mortality globally—are one of the starkest reminders of social injustices, and racial inequities, which continue to plague our society. People of color—including Black, Hispanic, American Indian, Asian, and others—experience varying degrees of social disadvantage that puts these groups at increased risk of CVD and poor disease outcomes, including mortality. Racial/ethnic disparities in CVD, while documented extensively, have not been examined from a broad, upstream, social determinants of health lens. In this review, we apply a comprehensive social determinants of health framework to better understand how structural racism increases individual and cumulative social determinants of health burden for historically underserved racial and ethnic groups, and increases their risk of CVD. We analyze the link between race, racism, and CVD, including major pathways and structural barriers to cardiovascular health, using 5 distinct social determinants of health domains: economic stability ; neighborhood and physical environment ; education ; community and social context ; and healthcare system . We conclude with a set of research and policy recommendations to inform future work in the field, and move a step closer to health equity.

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          Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association

          The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year’s worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year’s edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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            Racism as a Determinant of Health: A Systematic Review and Meta-Analysis

            Despite a growing body of epidemiological evidence in recent years documenting the health impacts of racism, the cumulative evidence base has yet to be synthesized in a comprehensive meta-analysis focused specifically on racism as a determinant of health. This meta-analysis reviewed the literature focusing on the relationship between reported racism and mental and physical health outcomes. Data from 293 studies reported in 333 articles published between 1983 and 2013, and conducted predominately in the U.S., were analysed using random effects models and mean weighted effect sizes. Racism was associated with poorer mental health (negative mental health: r = -.23, 95% CI [-.24,-.21], k = 227; positive mental health: r = -.13, 95% CI [-.16,-.10], k = 113), including depression, anxiety, psychological stress and various other outcomes. Racism was also associated with poorer general health (r = -.13 (95% CI [-.18,-.09], k = 30), and poorer physical health (r = -.09, 95% CI [-.12,-.06], k = 50). Moderation effects were found for some outcomes with regard to study and exposure characteristics. Effect sizes of racism on mental health were stronger in cross-sectional compared with longitudinal data and in non-representative samples compared with representative samples. Age, sex, birthplace and education level did not moderate the effects of racism on health. Ethnicity significantly moderated the effect of racism on negative mental health and physical health: the association between racism and negative mental health was significantly stronger for Asian American and Latino(a) American participants compared with African American participants, and the association between racism and physical health was significantly stronger for Latino(a) American participants compared with African American participants. Protocol PROSPERO registration number: CRD42013005464.
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              Traveling towards disease: transportation barriers to health care access.

              Transportation barriers are often cited as barriers to healthcare access. Transportation barriers lead to rescheduled or missed appointments, delayed care, and missed or delayed medication use. These consequences may lead to poorer management of chronic illness and thus poorer health outcomes. However, the significance of these barriers is uncertain based on existing literature due to wide variability in both study populations and transportation barrier measures. The authors sought to synthesize the literature on the prevalence of transportation barriers to health care access. A systematic literature search of peer-reviewed studies on transportation barriers to healthcare access was performed. Inclusion criteria were as follows: (1) study addressed access barriers for ongoing primary care or chronic disease care; (2) study included assessment of transportation barriers; and (3) study was completed in the United States. In total, 61 studies were reviewed. Overall, the evidence supports that transportation barriers are an important barrier to healthcare access, particularly for those with lower incomes or the under/uninsured. Additional research needs to (1) clarify which aspects of transportation limit health care access (2) measure the impact of transportation barriers on clinically meaningful outcomes and (3) measure the impact of transportation barrier interventions and transportation policy changes.
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                Author and article information

                Contributors
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                Journal
                Circulation: Cardiovascular Quality and Outcomes
                Circ: Cardiovascular Quality and Outcomes
                Ovid Technologies (Wolters Kluwer Health)
                1941-7713
                1941-7705
                January 2022
                January 2022
                : 15
                : 1
                Affiliations
                [1 ]Division of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, TX (Z.J., M.C.-A., K.N.).
                [2 ]Department of Medicine, Lincoln Medical Center, New York (M.H.M.).
                [3 ]Center for Outcomes Research, Houston Methodist, TX (T.Y., I.A., J.V.-E., M.C.-A., K.N.).
                [4 ]University of Houston, TX (Z.A.).
                [5 ]Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, TX (J.V.-E., M.C.-A., K.N.).
                [6 ]Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist, TX (J.V.-E., M.C.-A., K.N.).
                [7 ]Population Health and Primary Care (J.A.), Houston Methodist Hospital, TX.
                [8 ]Houston Methodist Hospital, Houston Methodist Research Institute, TX (P.D.).
                [9 ]Office of Community Benefits (R.K.J.), Houston Methodist Hospital, TX.
                [10 ]Barrett Daffin Frappier Turner & Engel, L.L.P., Houston, TX (M.A.D.).
                [11 ]Milken Institute School of Public Health, George Washington University, DC (A.A.H.).
                Article
                10.1161/CIRCOUTCOMES.121.007917
                35041484
                e9cebb38-b85b-4a5e-ba28-927d604bf9dc
                © 2022
                History

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