Evidence map›Paper›PMID 42432436›Full record

ArticleJournal of the American Heart Association2026

Clustering of Social Determinants of Health and Their Association With Adverse Cardiovascular Outcomes in Atrial Fibrillation.

Yusheng Zhou, Jonathan Houle, Valeria Raparelli, Colleen M Norris, Louise Pilote

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Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yusheng ZhouResearch Institute McGill University Health Centre Montreal Quebec Canada.
Jonathan HouleResearch Institute McGill University Health Centre Montreal Quebec Canada.
Valeria RaparelliDepartment of Translational and Precision Medicine University of Rome Rome Italy.ORCID 0000-0002-2100-5682
Colleen M NorrisFaculty of Nursing, University of Alberta Edmonton Alberta Canada.ORCID 0000-0002-6793-9333
Louise PiloteResearch Institute McGill University Health Centre Montreal Quebec Canada.ORCID 0000-0002-6159-0628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with atrial fibrillation remain at high risk for major adverse cardiovascular events despite advances in treatment. Social determinants of health (SDOH) are associated with cardiovascular outcomes, yet how these factors cluster to create distinct vulnerability profiles remains poorly understood.

methodsUsing UK Biobank data, we examined 15 SDOH indicators across economic, psychological, and neighborhood domains among 3842 participants with atrial fibrillation (35.1% female). Multigroup latent class analysis evaluated sex-based differences in vulnerability pattern distribution. Cox proportional hazards models assessed the association between identified SDOH clusters and composite cardiovascular outcomes comprising major adverse cardiovascular events and all-cause mortality.

resultsFive distinct SDOH vulnerability clusters were identified: (1) low vulnerability across all domains, (2) primarily economic vulnerability, (3) primarily neighborhood-related vulnerability, (4) economic and neighborhood vulnerability with favorable psychological conditions, and (5) high vulnerability across all domains. Men were more represented in advantaged profiles than women (Cluster 1: 37.0% versus 26.6%; Cluster 4: 25.3% versus 14.1%), and women showed the greatest representation in the highest vulnerability cluster (Cluster 5: 35.1% versus 25.2%). Compared with Cluster 1, Cluster 2 had a 30% higher risk (hazard ratio [HR], 1.30 [95% CI, 1.07-1.58]), Cluster 4 had 37% increased risk (HR, 1.37 [95% CI, 1.13-1.68]), and Cluster 5 more than twice the risk (HR, 2.05 [95% CI, 1.67-2.52]).

conclusionsFive distinct SDOH vulnerability patterns were identified among individuals with atrial fibrillation, with economic determinants as pivotal drivers of cardiovascular risk. These findings support incorporating comprehensive SDOH assessment into atrial fibrillation clinical management.

Indexed as

Atrial FibrillationCardiovascular DiseasesSocial Determinants of HealthAgedFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsSex FactorsSocioeconomic Disparities in HealthUK BiobankUnited Kingdomatrial fibrillationcardiovascular outcomeshealth disparitieslatent class analysissocial determinants of health

Identifiers

PMID42432436
PMCPMC13477293

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.