Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort
dc.rights.license | open | en_US |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | GRASSET, Leslie | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | PROUST-LIMA, Cecile | |
dc.contributor.author | MANGIN, Jean-Francois | |
dc.contributor.author | HABERT, Marie-Odile | |
dc.contributor.author | DUBOIS, Bruno | |
dc.contributor.author | PAQUET, Claire | |
dc.contributor.author | HANON, Olivier | |
dc.contributor.author | GABELLE, Audrey | |
dc.contributor.author | CECCALDI, Mathieu | |
dc.contributor.author | ANNWEILER, Cedric | |
dc.contributor.author | DAVID, Renaud | |
dc.contributor.author | JONVEAUX, Therese | |
dc.contributor.author | BELIN, Catherine | |
dc.contributor.author | JULIAN, Adrien | |
dc.contributor.author | ROUCH-LEROYER, Isabelle | |
dc.contributor.author | PARIENTE, Jeremie | |
dc.contributor.author | LOCATELLI, Maxime | |
dc.contributor.author | CHUPIN, Marie | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | CHENE, Genevieve | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | DUFOUIL, Carole | |
dc.contributor.author | MEMENTO COHORT STUDY, Group | |
dc.date.accessioned | 2022-06-21T12:52:14Z | |
dc.date.available | 2022-06-21T12:52:14Z | |
dc.date.issued | 2022-05-18 | |
dc.identifier.issn | 1758-9193 (Electronic) | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/140290 | |
dc.description.abstractEn | BACKGROUND: This work aimed to investigate the potential pathways involved in the association between social and lifestyle factors, biomarkers of Alzheimer's disease and related dementia (ADRD), and cognition. METHODS: The authors studied 2323 participants from the Memento study, a French nationwide clinical cohort. Social and lifestyle factors were education level, current household incomes, physical activity, leisure activities, and social network from which two continuous latent variables were computed: an early to midlife (EML) and a latelife (LL) indicator. Brain magnetic resonance imaging (MRI), lumbar puncture, and amyloid-positron emission tomography (PET) were used to define three latent variables: neurodegeneration, small vessel disease (SVD), and AD pathology. Cognitive function was defined as the underlying factor of a latent variable with four cognitive tests. Structural equation models were used to evaluate cross-sectional pathways between social and lifestyle factors and cognition. RESULTS: Participants' mean age was 70.9 years old, 62% were women, 28% were apolipoprotein-ε4 carriers, and 59% had a Clinical Dementia Rating (CDR) score of 0.5. Higher early to midlife social indicator was only directly associated with better cognitive function (direct β = 0.364 (0.322; 0.405), with no indirect pathway through ADRD biomarkers (total β = 0.392 (0.351; 0.429)). In addition to a direct effect on cognition (direct β = 0.076 (0.033; 0.118)), the association between latelife lifestyle indicator and cognition was also mostly mediated by an indirect effect through lower neurodegeneration (indirect β = 0.066 (0.042; 0.090) and direct β = - 0.116 (- 0.153; - 0.079)), but not through AD pathology nor SVD. CONCLUSIONS: Early to midlife social factors are directly associated with higher cognitive functions. Latelife lifestyle factors may help preserve cognitive functions through lower neurodegeneration. | |
dc.language.iso | EN | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject.en | Social factors | |
dc.subject.en | Lifestyle factors | |
dc.subject.en | Cognitive function | |
dc.subject.en | Brain markers | |
dc.subject.en | Pathology | |
dc.subject.en | Pathways | |
dc.title.en | Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort | |
dc.type | Article de revue | en_US |
dc.identifier.doi | 10.1186/s13195-022-01013-8 | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
dc.identifier.pubmed | 35585559 | en_US |
bordeaux.journal | Alzheimer's Research & Therapy | en_US |
bordeaux.page | 68 | en_US |
bordeaux.volume | 14 | en_US |
bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
bordeaux.issue | 1 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | INSERM | en_US |
bordeaux.team | BIOSTAT_BPH | en_US |
bordeaux.team | MEMENTO | en_US |
bordeaux.team | PHARES_BPH | en_US |
bordeaux.peerReviewed | oui | en_US |
bordeaux.inpress | non | en_US |
bordeaux.identifier.funderID | Fondation Plan Alzheimer | en_US |
bordeaux.identifier.funderID | Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation | en_US |
bordeaux.identifier.funderID | Centre Hospitalier Universitaire de Bordeaux | en_US |
bordeaux.identifier.funderID | Institut National de la Santé et de la Recherche Médicale | en_US |
bordeaux.identifier.funderID | Université de Bordeaux | en_US |
bordeaux.identifier.funderID | Medical Research Council | en_US |
bordeaux.identifier.funderID | Agence Nationale de la Recherche | en_US |
hal.identifier | hal-03701273 | |
hal.version | 1 | |
hal.date.transferred | 2022-06-21T20:26:41Z | |
hal.export | true | |
dc.rights.cc | CC BY | en_US |
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