The neurobiology of life course socioeconomic conditions and associated cognitive performance in middle to late adulthood.


Journal

The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140

Informations de publication

Date de publication:
18 Mar 2024
Historique:
received: 03 07 2023
revised: 18 01 2024
accepted: 23 01 2024
medline: 19 3 2024
pubmed: 19 3 2024
entrez: 18 3 2024
Statut: aheadofprint

Résumé

Despite major advances, our understanding of the neurobiology of life course socioeconomic conditions is still scarce. This study aimed to provide insight into the pathways linking socioeconomic exposures - household income, last-known occupational position, and life course socioeconomic trajectories - with brain microstructure and cognitive performance in middle to late adulthood. We assessed socioeconomic conditions alongside quantitative relaxometry and diffusion-weighted magnetic resonance imaging indicators of brain tissue microstructure, and cognitive performance in a sample of community-dwelling men and women (N=751, aged 50-91 years). We adjusted the applied regression analyses and structural equation models for the linear and non-linear effects of age, sex, education, cardiovascular risk factors, and presence of depressive, anxiety, and substance use disorders. Individuals from lower income households showed signs of advanced brain white matter aging with greater mean diffusivity, lower neurite density, lower myelination, and lower iron content. The association between household income and mean diffusivity was mediated by neurite density (B=0.084, p=0.003) and myelination (B=0.019, p=0.009); mean diffusivity partially mediated the association between household income and cognitive performance (B=0.017, p<0.05). Household income moderated the relation between white matter microstructure and cognitive performance, such that greater mean diffusivity, lower myelination, or lower neurite density was only associated with poorer cognitive performance among individuals from lower income households. Individuals from higher income households showed preserved cognitive performance even with greater mean diffusivity, lower myelination, or lower neurite density. These findings provide novel mechanistic insight into associations between socioeconomic conditions, brain anatomy, and cognitive performance in middle to late adulthood.

Identifiants

pubmed: 38499361
pii: JNEUROSCI.1231-23.2024
doi: 10.1523/JNEUROSCI.1231-23.2024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 the authors.

Auteurs

Stephanie Schrempft (S)

Division of Primary Care, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland.

Olga Trofimova (O)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Swiss Institute of Bioinformatics, Lausanne, Switzerland.

Morgane Künzi (M)

Swiss National Centre of Competences in Research, "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Lausanne and University of Geneva, Switzerland.
Department of Psychology, University of Geneva, Geneva, Switzerland.
Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland.

Cristina Ramponi (C)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Antoine Lutti (A)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Ferath Kherif (F)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Adeliya Latypova (A)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Peter Vollenweider (P)

Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Pedro Marques-Vidal (P)

Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Martin Preisig (M)

Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Matthias Kliegel (M)

Swiss National Centre of Competences in Research, "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Lausanne and University of Geneva, Switzerland.
Department of Psychology, University of Geneva, Geneva, Switzerland.
Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland.

Silvia Stringhini (S)

Division of Primary Care, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland.
Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland.

Bogdan Draganski (B)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Classifications MeSH