S'abonner

Association between racial residential segregation and Black-White disparities in cardiovascular disease mortality - 13/09/23

Doi : 10.1016/j.ahj.2023.06.010 
Kriyana P. Reddy, BS a, , Lauren A. Eberly, MD, MPH a, b, c, d, Howard M. Julien, MD, MPH a, b, c, d, e, Jay Giri, MD, MPH a, b, c, e, Alexander C. Fanaroff, MD, MHS a, b, c, Peter W. Groeneveld, MD, MS a, c, e, f, Sameed Ahmed M. Khatana, MD, MPH a, b, c, e, Ashwin S. Nathan, MD, MS a, b, c, e
a Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA 
b Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA 
c Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 
d Penn Cardiovascular Center for Health Equity and Justice, Philadelphia, PA 
e Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 
f Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 

Reprint requests: Kriyana Reddy, BS, Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, 12th Floor Blockley Hall, 423 Guardian Dr. Philadelphia, PA 19104.Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania12th Floor Blockley Hall, 423 Guardian Dr.PhiladelphiaPA19104

Résumé

Background

Racial residential segregation is associated with racial health inequities, but it is unclear if segregation may exacerbate Black-White disparities in cardiovascular disease (CVD) mortality. This study aimed to assess associations between Black-White residential segregation, CVD mortality rates among non-Hispanic (NH) Black and NH White populations, and Black-White disparities in CVD mortality.

Methods

This cross-sectional study analyzed Black-White residential segregation, as measured by county-level interaction index, of US counties, county-level CVD mortality among NH White and NH black adults aged 25 years and older, and county-level Black-White disparities in CVD mortality in years 2014 to 2017. Age-adjusted, county-level NH Black CVD mortality rates and NH White cardiovascular disease mortality rates, as well as group-level relative risk ratios for Black-White cardiovascular disease mortality, were calculated. Sequential generalized linear models adjusted for county-level socioeconomic and neighborhood factors were used to estimate associations between residential segregation and cardiovascular mortality rates among NH Black and NH White populations. Relative risk ratio tests were used to compare Black-White disparities in the most segregated counties to disparities in the least segregated counties.

Results

We included 1,286 counties with ≥5% Black populations in the main analysis. Among adults aged ≥25 years, there were 2,611,560 and 408,429 CVD deaths among NH White and NH Black individuals, respectively. In the unadjusted model, counties in the highest tertile of segregation had 9% higher (95% CI, 1%-20% higher, P = .04) rates of NH Black CVD mortality than counties in the lowest tertile of segregation. In the multivariable adjusted model, the most segregated counties had 15% higher (95% CI, 0.5% to 38% higher, P = .04) rates of NH Black CVD mortality than the least segregated counties. In the most segregated counties, NH Black individuals were 33% more likely to die of CVD than NH White individuals (RR 1.33, 95% CI 1.32 to 1.33, P < .001).

Conclusions

Counties with increased Black-White residential segregation have higher rates of NH Black CVD mortality and larger Black-White disparities in CVD mortality. Identifying the causal mechanisms through which racial residential segregation widens disparities in CVD mortality requires further study.

Le texte complet de cet article est disponible en PDF.

Abbreviations : CVD, NH, NCHS, HPSA, AAMR, RR, GLM, IRR


Plan


© 2023  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 264

P. 143-152 - octobre 2023 Retour au numéro
Article précédent Article précédent
  • Hemodialysis and its impact on patient characteristics, microbiology, cardiac surgery, and mortality in infective endocarditis
  • Anna Stahl, Eva Havers-Borgersen, Lauge Østergaard, Jeppe K. Petersen, Niels E. Bruun, Peter E. Weeke, Søren L. Kristensen, Marianne Voldstedlund, Lars Køber, Emil L. Fosbøl
| Article suivant Article suivant
  • Cardiac imaging and biomarkers for assessing myocardial fibrosis in children with hypertrophic cardiomyopathy
  • Sonya Kirmani, Pamela K. Woodard, Ling Shi, Taye H. Hamza, Charles E. Canter, Steven D. Colan, Elfriede Pahl, Jeffrey A. Towbin, Steven A. Webber, Joseph W. Rossano, Melanie D. Everitt, Kimberly M. Molina, Paul F. Kantor, John L. Jefferies, Brian Feingold, Linda J. Addonizio, Stephanie M. Ware, Wendy K. Chung, Jean A. Ballweg, Teresa M. Lee, Neha Bansal, Hiedy Razoky, Jason Czachor, Fatima I. Lunze, Edward Marcus, Paul Commean, James D. Wilkinson, Steven E. Lipshultz

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.