Is cognitive reserve associated with the prevention of cognitive decline after stroke? A Systematic review and meta-analysis.


Journal

Ageing research reviews
ISSN: 1872-9649
Titre abrégé: Ageing Res Rev
Pays: England
ID NLM: 101128963

Informations de publication

Date de publication:
02 2023
Historique:
received: 26 09 2022
revised: 15 11 2022
accepted: 30 11 2022
pubmed: 7 12 2022
medline: 11 1 2023
entrez: 6 12 2022
Statut: ppublish

Résumé

To conduct a systematic review and meta-analyses of the effect of socio-behavioral cognitive reserve (CR) proxies on cognitive decline after stroke. Three journal search and indexing databases (PubMed, Scopus and Web of Sciences) were crossed to examine the scientific evidence systematically. In addition, meta-analytic techniques, using mixed-effect methods, were carried out to estimate the impact (pooled effect size) of CR proxies on either dementia incidence or cognitive decline after stroke. Twenty-two studies were included in the systematic revision, whereas nineteen of them were eligible for the meta-analysis. The findings showed that high education is associated with a decreased rate of post-stroke dementia. Moreover, other CR proxies (e.g., occupation, bilingualism or social interaction) demonstrate a protective effect against non-dementia cognitive decline after stroke, although some inconsistencies were found in the literature. Regarding the meta-analysis, occupational attainment and education) showed a protective effect against post-stroke cognitive impairment diagnosis in comparison with a mixed category of different CR proxies. Second, a main cognitive change effect was found, pointing to greater cognitive change after stroke in those with low vs. high CR. Our findings emphasize that CR may prevent cognitive decline after stroke, but this effect can be modulated by different factors such the CR proxy and individual characteristics such as age or type of lesion. The methodological divergences of the studies (i.e., follow-up intervals, cognitive outcomes) need unification to diminish external sources of variability for predicting rates of cognitive decline after stroke.

Identifiants

pubmed: 36473672
pii: S1568-1637(22)00256-2
doi: 10.1016/j.arr.2022.101814
pii:
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101814

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Israel Contador (I)

Department of Basic Psychology, Psychobiology and Methodology of Behavioral Sciences, University of Salamanca, Spain; 'Hospital del Mar' Medical Research Institute, Barcelona, Spain. Electronic address: icontador@usal.es.

Patricia Alzola (P)

Department of Basic Psychology, Psychobiology and Methodology of Behavioral Sciences, University of Salamanca, Spain. Electronic address: patricialzola@usal.es.

Yaakov Stern (Y)

Cognitive Neuroscience Division, The Taub Institute, and Department of Neurology, Columbia University College of Physicians and Surgeons, New York, United States. Electronic address: ys11@columbia.edu.

Alejandro de la Torre-Luque (A)

Department of Legal Medicine, Psychiatry and Pathology, Centre for Biomedical Research in Mental Health (CIBERSAM), Complutense University, Madrid, Spain. Electronic address: af.delatorre@ucm.es.

Félix Bermejo-Pareja (F)

Research Institute (Imas12), University Hospital "12 de Octubre", Madrid, Spain; The Biomedical Research Centre Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain. Electronic address: fbermejop@h12o.es.

Bernardino Fernández-Calvo (B)

Department of Psychology, University of Córdoba, Spain.; Maimonides Biomedical Research Institute of Córdoba (IMIBIC), University Hospital Reina Sofía, Córdoba, Spain. Electronic address: bfcalvo@uco.es.

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