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dc.contributor.authorGaspar, P.M.
dc.contributor.authorCampos-Magdaleno, M.
dc.contributor.authorPereiro, A.X.
dc.contributor.authorFacal Mayo, David
dc.contributor.authorJuncos-Rabadán, O.
dc.date.accessioned2025-08-26T11:02:00Z
dc.date.available2025-08-26T11:02:00Z
dc.date.issued2022
dc.identifier.citationGaspar PM, Campos-Magdaleno M, Pereiro AX, Facal D, Juncos-Rabadán O. Cognitive reserve and mental health in cognitive frailty phenotypes: Insights from a study with a Portuguese sample. Frontiers in Psychology. 2022;13.
dc.identifier.issn1664-1078
dc.identifier.otherhttps://portalcientifico.sergas.gal/documentos/634485e318e16d3f79fc8c8a*
dc.identifier.urihttp://hdl.handle.net/20.500.11940/20817
dc.description.abstractBackground: Research on prevalence of cognitive frailty phenotypes in community-dwelling older adults in different countries is important to estimate their prevalence and to determine the influence of cognitive reserve and mental health in order to prevent frailty. The aims of this study were to estimate the prevalence of reversible and potentially reversible cognitive frailty (R-CF, PR-CF) in a Portuguese sample of old adults and explore the associations between these phenotypes and demographic, comorbidity, social support, cognitive reserve and mental health factors. Methods: We assessed frailty (Fried criteria) in 250 community-dwelling older adults (179 women) aged 60 years or over (mean 71.04 years) without dementia, neurological or psychiatric disorders. Subjective cognitive decline and Mild cognitive impairment were diagnosed according to standard criteria. The questionnaires Charlson Index, Medical Outcomes Study Social Support, Cognitive Reserve Index and General Health were used for assessing comorbidity, social support, cognitive reserve and mental health, respectively. Results: Prevalence of R-CF was 14%, and that of PR-CF, 15.2%. Cognitive frailty profiles differed significantly in relation to education, comorbidity, mental health, and cognitive reserve, but not in age or sex. Multivariate logistic regression showed that age, sex, comorbidity, social support, mental health, and cognitive reserve together predicted R-CF and PR-CF (90% specificity 75% sensitivity) with significant OR for mental health and cognitive reserve. Discussion: Cognitive reserve and mental health are important factors predicting R-CF and PR-CF. We recommend assessing these factors for early detection of cognitive frailty and promoting psychological well-being and lifestyles that increase cognitive reserve in adults.en
dc.language.isoeng
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleCognitive reserve and mental health in cognitive frailty phenotypes: Insights from a study with a Portuguese sample*
dc.typeArticleen
dc.authorsophosGaspar, O. P. M.
dc.authorsophosCampos-Magdaleno, M.
dc.authorsophosPereiro, A. X.
dc.authorsophosFacal, D.
dc.authorsophosJuncos, Rabadán
dc.identifier.doi10.3389/fpsyg.2022.968343
dc.identifier.sophos634485e318e16d3f79fc8c8a
dc.journal.titleFrontiers in Psychology*
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fpsyg.2022.968343/pdf;https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.968343/pdfes
dc.rights.accessRightsopenAccess
dc.subject.keywordAS Santiagoes
dc.subject.keywordIDISes
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)es
dc.typesophosArtículo Originales
dc.volume.number13


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