Titre
Bio-psycho-social factors' associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Korbmacher, M.
Auteure/Auteur
Gurholt, T.P.
Auteure/Auteur
de Lange, A.G.
Auteure/Auteur
van der Meer, D.
Auteure/Auteur
Beck, D.
Auteure/Auteur
Eikefjord, E.
Auteure/Auteur
Lundervold, A.
Auteure/Auteur
Andreassen, O.A.
Auteure/Auteur
Westlye, L.T.
Auteure/Auteur
Maximov, I.I.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
1664-1078
Statut éditorial
Publié
Date de publication
2023
Volume
14
Première page
1117732
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Résumé
Brain age refers to age predicted by brain features. Brain age has previously been associated with various health and disease outcomes and suggested as a potential biomarker of general health. Few previous studies have systematically assessed brain age variability derived from single and multi-shell diffusion magnetic resonance imaging data. Here, we present multivariate models of brain age derived from various diffusion approaches and how they relate to bio-psycho-social variables within the domains of sociodemographic, cognitive, life-satisfaction, as well as health and lifestyle factors in midlife to old age (N = 35,749, 44.6-82.8 years of age). Bio-psycho-social factors could uniquely explain a small proportion of the brain age variance, in a similar pattern across diffusion approaches: cognitive scores, life satisfaction, health and lifestyle factors adding to the variance explained, but not socio-demographics. Consistent brain age associations across models were found for waist-to-hip ratio, diabetes, hypertension, smoking, matrix puzzles solving, and job and health satisfaction and perception. Furthermore, we found large variability in sex and ethnicity group differences in brain age. Our results show that brain age cannot be sufficiently explained by bio-psycho-social variables alone. However, the observed associations suggest to adjust for sex, ethnicity, cognitive factors, as well as health and lifestyle factors, and to observe bio-psycho-social factor interactions' influence on brain age in future studies.
PID Serval
serval:BIB_A01CDC63A313
PMID
Open Access
Oui
Date de création
2023-06-29T12:58:09.739Z
Date de création dans IRIS
2025-05-20T22:12:07Z
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Nom
37359862_BIB_A01CDC63A313.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by/4.0
Taille
2.82 MB
Format
Adobe PDF
PID Serval
serval:BIB_A01CDC63A313.P001
URN
urn:nbn:ch:serval-BIB_A01CDC63A3135
Somme de contrôle
(MD5):bad8fb1631a026cad8ec5241fa7b0b6c