Social and Psychosocial Determinants of Racial and Ethnic Differences in Cardiovascular Health in the United States Population

Author:

Shah Nilay S.12ORCID,Huang Xiaoning2ORCID,Petito Lucia C.2ORCID,Bancks Michael P.3ORCID,Ning Hongyan2,Cameron Natalie A.4ORCID,Kershaw Kiarri N.2ORCID,Kandula Namratha R.42,Carnethon Mercedes R.2ORCID,Lloyd-Jones Donald M.12ORCID,Khan Sadiya S.12ORCID

Affiliation:

1. Division of Cardiology (N.S.S., D.M.L.-J., S.S.K.), Northwestern University Feinberg School of Medicine, Chicago, IL.

2. Department of Medicine, Department of Preventive Medicine (N.S.S., X.H., L.C.P., H.N., K.N.K., N.R.K., M.R.C., D.M.L.-J., S.S.K.), Northwestern University Feinberg School of Medicine, Chicago, IL.

3. Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC (M.P.B.).

4. Division of General Internal Medicine (N.A.C., N.R.K.), Northwestern University Feinberg School of Medicine, Chicago, IL.

Abstract

Background: Social and psychosocial factors are associated with cardiovascular health (CVH). Our objective was to examine the contributions of individual-level social and psychosocial factors to racial and ethnic differences in population CVH in the NHANES (National Health and Nutrition Examination Surveys) 2011 to 2018, to inform strategies to mitigate CVH inequities. Methods: In NHANES participants ages ≥20 years, Kitagawa-Blinder-Oaxaca decomposition estimated the statistical contribution of individual-level factors (education, income, food security, marital status, health insurance, place of birth, depression) to racial and ethnic differences in population mean CVH score (range, 0–14, accounting for diet, smoking, physical activity, body mass index, blood pressure, cholesterol, blood glucose) among Hispanic, non-Hispanic Asian, or non-Hispanic Black adults compared with non-Hispanic White adults. Results: Among 16 172 participants (representing 255 million US adults), 24% were Hispanic, 12% non-Hispanic Asian, 23% non-Hispanic Black, and 41% non-Hispanic White. Among men, mean (SE) CVH score was 7.45 (2.3) in Hispanic, 8.71 (2.2) in non-Hispanic Asian, 7.48 (2.4) in non-Hispanic Black, and 7.58 (2.3) in non-Hispanic White adults. In Kitagawa-Blinder-Oaxaca decomposition, education explained the largest component of CVH differences among men (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.36 [0.04] points higher in Hispanic, 0.24 [0.04] points lower in non-Hispanic Asian, and 0.23 [0.03] points higher in non-Hispanic Black participants; P <0.05). Among women, mean (SE) CVH score was 8.03 (2.4) in Hispanic, 9.34 (2.1) in non-Hispanic Asian, 7.43 (2.3) in non-Hispanic Black, and 8.00 (2.5) in non-Hispanic White adults. Education explained the largest component of CVH difference in non-Hispanic Black women (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.17 [0.03] points higher in non-Hispanic Black participants; P <0.05). Place of birth (born in the United States versus born outside the United States) explained the largest component of CVH difference in Hispanic and non-Hispanic Asian women (if distribution of place of birth were similar to non-Hispanic White participants, CVH score would be 0.36 [0.07] points lower and 0.49 [0.16] points lower, respectively; P <0.05). Conclusions: Education and place of birth confer the largest statistical contributions to the racial and ethnic differences in mean CVH score among US adults.

Funder

HHS | NIH | National Heart, Lung, and Blood Institute

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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