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Published on: July 20, 2022
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.
Background:
Atrial fibrillation (AF) is the most common arrhythmia, affecting up to 6 million in the United States, and is associated with significant morbidity and mortality. Despite higher rates of AF clinical and social risk factors, underrepresented racial and ethnic group individuals have lower AF incidence. Structural factors, such as neighborhood-level racial and ethnic residential segregation, have been associated with incident cardiometabolic disease, particularly among underrepresented individuals. However, as data on segregation and incident AF are sparse our objective was to examine the association of segregation on AF.
Methods:
Data from MESA (Multi-Ethnic Study of Atherosclerosis; baseline 2000-2002) were used to identify those with a diagnosis of AF during follow-up. Own-group racial and ethnic segregation was defined by local Gi* statistic, which compares the percentage of each racial and ethnic group in a current census tract to the surrounding area. Racial- and ethnic-stratified Cox proportional hazard models were used to estimate hazard ratios comparing across segregation levels. Models were adjusted for demographic, participant, and neighborhood level socioeconomic, and clinical factors.
Results:
Our cohort comprised 5375 participants (31% Black, 25% Hispanic/Latino, 44% White). During a median follow-up of 16.6 years, 1035 participants (19.3%) were diagnosed with AF. Black and Hispanic/Latino participants had the highest prevalence of AF risk factors at baseline and were more likely to reside in segregated neighborhoods than White participants. After adjusting for demographic, socioeconomic, and clinical factors, neighborhood segregation was not found to be associated with AF across racial and ethnic groups.
Conclusions:
In this longitudinal analysis we did not observe an association between residential segregation and AF incidence for Black, Hispanic/Latino, or White participants in fully adjusted models. Further research is needed to understand how individual factors may intersect with clinical, health care, and structural factors to drive previously described differential risk of AF.
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