Neighborhood-Level Racial and Ethnic Residential Segregation and Incidence of Atrial Fibrillation: The Multi-Ethnic

Utibe R Essien1, Katharine Harrington2, Shaina J Alexandria2

  • 1Division of General Internal Medicine and Health Services David Geffen School of Medicine at the University of California Los Angeles Los Angeles CA USA.

Insights

Residential segregation was not associated with atrial fibrillation (AF) incidence in Black, Hispanic/Latino, or White individuals. Further research is needed to understand AF risk factors in diverse populations.

Area of Science:

  • Cardiovascular epidemiology
  • Social determinants of health
  • Arrhythmia research

Background:

  • Atrial fibrillation (AF) is a common arrhythmia with significant health impacts.
  • Underrepresented racial and ethnic groups have lower AF incidence despite higher risk factors.
  • Neighborhood racial and ethnic segregation is a potential structural factor influencing health outcomes.

Purpose of the Study:

  • To investigate the association between neighborhood residential segregation and the incidence of atrial fibrillation (AF).
  • To examine this association across different racial and ethnic groups.

Main Methods:

  • Utilized data from the Multi-Ethnic Study of Atherosclerosis (MESA) cohort.
  • Defined own-group racial and ethnic segregation using the local Gi* statistic.
  • Employed Cox proportional hazard models, stratified by race and ethnicity, with adjustments for multiple covariates.

Main Results:

  • The cohort included 5375 participants: 31% Black, 25% Hispanic/Latino, and 44% White.
  • Over 16.6 years of follow-up, 1035 participants (19.3%) developed AF.
  • Despite higher AF risk factors and segregation prevalence in Black and Hispanic/Latino participants, neighborhood segregation was not significantly associated with AF incidence after full adjustment.

Conclusions:

  • No association was found between residential segregation and AF incidence in Black, Hispanic/Latino, or White participants in fully adjusted models.
  • Further investigation is required to elucidate the complex interplay of individual, clinical, healthcare, and structural factors in driving differential AF risk.
Abstract

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