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

荟萃分析 冲程(发动机) 认知储备 认知 痴呆 认知功能衰退 心理学 老年学 医学 神经科学 认知障碍 内科学 机械工程 工程类 疾病
作者
Israel Contador,Patricia Alzola,Yaakov Stern,Alejandro de la Torre‐Luque,Félix Bermejo‐Pareja,Bernardino Fernández‐Calvo
出处
期刊:Ageing Research Reviews [Elsevier]
卷期号:84: 101814-101814 被引量:25
标识
DOI:10.1016/j.arr.2022.101814
摘要

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.

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