Omega-3 Fatty Acids and Risk of Ischemic Stroke in REGARDS.

Docosahexaenoic acid (DHA) Epidemiology Exploratory factor analysis Incident ischemic stroke Omega-3

Journal

Translational stroke research
ISSN: 1868-601X
Titre abrégé: Transl Stroke Res
Pays: United States
ID NLM: 101517297

Informations de publication

Date de publication:
27 Apr 2024
Historique:
received: 12 12 2023
accepted: 24 04 2024
revised: 18 04 2024
medline: 28 4 2024
pubmed: 28 4 2024
entrez: 27 4 2024
Statut: aheadofprint

Résumé

We examined associations between lipidomic profiles and incident ischemic stroke in the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. Plasma lipids (n = 195) were measured from baseline blood samples, and lipids were consolidated into underlying factors using exploratory factor analysis. Cox proportional hazards models were used to test associations between lipid factors and incident stroke, linear regressions to determine associations between dietary intake and lipid factors, and the inverse odds ratio weighting (IORW) approach to test mediation. The study followed participants over a median (IQR) of 7 (3.4-11) years, and the case-cohort substudy included 1075 incident ischemic stroke and 968 non-stroke participants. One lipid factor, enriched for docosahexaenoic acid (DHA, an omega-3 fatty acid), was inversely associated with stroke risk in a base model (HR = 0.84; 95%CI 0.79-0.90; P = 8.33 × 10

Identifiants

pubmed: 38676880
doi: 10.1007/s12975-024-01256-7
pii: 10.1007/s12975-024-01256-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NINDS NIH HHS
ID : U01 NS041588
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS041588
Pays : United States
Organisme : NIA NIH HHS
ID : U01 NS041588
Pays : United States
Organisme : NIA NIH HHS
ID : U01 NS041588
Pays : United States
Organisme : NIH HHS
ID : R01 NS099209
Pays : United States

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Zsuzsanna Ament (Z)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.

Amit Patki (A)

Department of Epidemiology, School of Public Health at the University of Alabama at Birmingham, Birmingham, AL, USA.

Varun M Bhave (VM)

Harvard Medical School, Boston, MA, USA.

Naruchorn Kijpaisalratana (N)

Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Division of Neurology, Department of Medicine and Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Alana C Jones (AC)

Medical Scientist Training Program, University of Alabama at Birmingham, Birmingham, AL, USA.

Catharine A Couch (CA)

Department of Epidemiology, School of Public Health at the University of Alabama at Birmingham, Birmingham, AL, USA.

Robert J Stanton (RJ)

Department of Neurology, University of Cincinnati Medical Center, Cincinnati, OH, USA.

Pamela M Rist (PM)

Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Mary Cushman (M)

Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.

Suzanne E Judd (SE)

Department of Biostatistics, School of Public Health at the University of Alabama at Birmingham, Birmingham, AL, USA.

D Leann Long (DL)

Department of Biostatistics, School of Public Health at the University of Alabama at Birmingham, Birmingham, AL, USA.

M Ryan Irvin (MR)

Department of Epidemiology, School of Public Health at the University of Alabama at Birmingham, Birmingham, AL, USA.

W Taylor Kimberly (WT)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. wtkimberly@mgh.harvard.edu.
Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. wtkimberly@mgh.harvard.edu.

Classifications MeSH