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Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis
OBJECTIVES: This systematic review and meta-analysis was conducted to provide an analysis of the published data about the effects of cognitive behavioral therapies on the depression of older adults with a diagnosis of Alzheimer’s disease. METHODS: This study was performed following the PRISMA 2020 g...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533929/ https://www.ncbi.nlm.nih.gov/pubmed/37781100 http://dx.doi.org/10.3389/fnagi.2023.1222197 |
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author | González-Martín, Ana María Aibar Almazán, Agustín Rivas Campo, Yulieth Rodríguez Sobrino, Noelia Castellote Caballero, Yolanda |
author_facet | González-Martín, Ana María Aibar Almazán, Agustín Rivas Campo, Yulieth Rodríguez Sobrino, Noelia Castellote Caballero, Yolanda |
author_sort | González-Martín, Ana María |
collection | PubMed |
description | OBJECTIVES: This systematic review and meta-analysis was conducted to provide an analysis of the published data about the effects of cognitive behavioral therapies on the depression of older adults with a diagnosis of Alzheimer’s disease. METHODS: This study was performed following the PRISMA 2020 guidelines. The search was performed between March and April 2023, using four electronic databases: PubMed, Web of Science, Cinhal and Scopus. Different keywords combined with Boolean operators were utilized. Only 11 articles were included out of the initial 212. RESULTS: Cognitive behavioral therapy was found to reduce depression in individuals with Alzheimer’s, including treatments with low frequency but a longer intervention time. CONCLUSION: This systematic review and meta-analysis found that the psychosocial therapy cognitive behavioral therapy is effective in improving depression in individuals with a diagnosis of Alzheimer’s. However, results are inconclusive due to the disparity of the findings and the heterogeneity of the applied protocols, so more studies are needed on this topic. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=416396, CRD42023416396. |
format | Online Article Text |
id | pubmed-10533929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105339292023-09-29 Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis González-Martín, Ana María Aibar Almazán, Agustín Rivas Campo, Yulieth Rodríguez Sobrino, Noelia Castellote Caballero, Yolanda Front Aging Neurosci Aging Neuroscience OBJECTIVES: This systematic review and meta-analysis was conducted to provide an analysis of the published data about the effects of cognitive behavioral therapies on the depression of older adults with a diagnosis of Alzheimer’s disease. METHODS: This study was performed following the PRISMA 2020 guidelines. The search was performed between March and April 2023, using four electronic databases: PubMed, Web of Science, Cinhal and Scopus. Different keywords combined with Boolean operators were utilized. Only 11 articles were included out of the initial 212. RESULTS: Cognitive behavioral therapy was found to reduce depression in individuals with Alzheimer’s, including treatments with low frequency but a longer intervention time. CONCLUSION: This systematic review and meta-analysis found that the psychosocial therapy cognitive behavioral therapy is effective in improving depression in individuals with a diagnosis of Alzheimer’s. However, results are inconclusive due to the disparity of the findings and the heterogeneity of the applied protocols, so more studies are needed on this topic. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=416396, CRD42023416396. Frontiers Media S.A. 2023-09-13 /pmc/articles/PMC10533929/ /pubmed/37781100 http://dx.doi.org/10.3389/fnagi.2023.1222197 Text en Copyright © 2023 González-Martín, Aibar Almazán, Rivas Campo, Rodríguez Sobrino and Castellote Caballero. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Aging Neuroscience González-Martín, Ana María Aibar Almazán, Agustín Rivas Campo, Yulieth Rodríguez Sobrino, Noelia Castellote Caballero, Yolanda Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis |
title | Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis |
title_full | Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis |
title_fullStr | Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis |
title_full_unstemmed | Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis |
title_short | Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis |
title_sort | addressing depression in older adults with alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533929/ https://www.ncbi.nlm.nih.gov/pubmed/37781100 http://dx.doi.org/10.3389/fnagi.2023.1222197 |
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