dc.creator | Feldberg, Carolina | |
dc.creator | Barreyro, Juan Pablo | |
dc.creator | Tartaglini, Maria Florencia | |
dc.creator | Hermida, Paula Daniela | |
dc.creator | Moya García, Lydia | |
dc.creator | Benetti, Laureana María | |
dc.creator | Somale, María Verónica | |
dc.creator | Allegri, Ricardo Francisco | |
dc.date.accessioned | 2022-09-01T02:08:59Z | |
dc.date.accessioned | 2022-10-15T11:17:24Z | |
dc.date.available | 2022-09-01T02:08:59Z | |
dc.date.available | 2022-10-15T11:17:24Z | |
dc.date.created | 2022-09-01T02:08:59Z | |
dc.date.issued | 2021-12 | |
dc.identifier | Feldberg, Carolina; Barreyro, Juan Pablo; Tartaglini, Maria Florencia; Hermida, Paula Daniela; Moya García, Lydia; et al.; Estimation of cognitive reserve and its impact on cognitive performance in older adults; Taylor & Francis; Applied Neuropsychology: Adult; 2021; 12-2021; 1-11 | |
dc.identifier | 2327-9095 | |
dc.identifier | http://hdl.handle.net/11336/167098 | |
dc.identifier | 2327-9109 | |
dc.identifier | CONICET Digital | |
dc.identifier | CONICET | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4379912 | |
dc.description.abstract | Objectives: Cognitive reserve provides evidence in the search for answers regarding the role that lifestyle has in the protection of cognition in old age. Through a structural equations model, different things were analyzed: the relative weight of education, occupational complexity, free time activities and the intelligence quotient in cognitive reserve; and its impact on three cognitive domains: memory, language and executive functions. Design: A trail analysis was executed, using structural equations procedure. Participants: 167 older participants (mean = 76.74 years, standard deviation = 6.8 years). Measurements: Participants were assessed with: Sociodemographic Questionnaire, Occupational Activity Agency Questionnaire, Social Participation Questionnaire and Neuropsychological Evaluation Battery for: memory, language and executive functions. Results: The cognitive reserve factor is well represented by the measures included, with values between.43 and.86, and shows a direct effect on language (β =.52, p <.001), executive functions (β =.77, p <.001), and memory (β =.36, p =.003). Conclusions: In conclusion, lifestyle factors, such as education, occupational complexity, leisure time activities and intelligence quotient have an impact on the conformation of cognitive reserve and performance in some psychological processes. | |
dc.language | eng | |
dc.publisher | Taylor & Francis | |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/23279095.2021.2002864 | |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/23279095.2021.2002864 | |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | AGING | |
dc.subject | COGNITIVE RESERVE | |
dc.subject | EXECUTIVE FUNCTIONS | |
dc.subject | LANGUAGE | |
dc.subject | LIFESTYLE | |
dc.subject | MEMORY | |
dc.title | Estimation of cognitive reserve and its impact on cognitive performance in older adults | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:ar-repo/semantics/artículo | |
dc.type | info:eu-repo/semantics/publishedVersion | |