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Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults
BACKGROUND: Independence is related to the aging process. Loss of independence is defined as the inability to make decisions and participate in activities of daily living (ADLs). Independence is related to physical, psychological, biological, and socioeconomic factors. An enhanced understanding of o...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908646/ https://www.ncbi.nlm.nih.gov/pubmed/33637045 http://dx.doi.org/10.1186/s12877-021-02063-7 |
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author | Bimou, Charlotte Harel, Michel Laubarie-Mouret, Cécile Cardinaud, Noëlle Charenton-Blavignac, Marion Toumi, Nassima Trimouillas, Justine Gayot, Caroline Boyer, Sophie Hebert, Réjean Dantoine, Thierry Tchalla, Achille |
author_facet | Bimou, Charlotte Harel, Michel Laubarie-Mouret, Cécile Cardinaud, Noëlle Charenton-Blavignac, Marion Toumi, Nassima Trimouillas, Justine Gayot, Caroline Boyer, Sophie Hebert, Réjean Dantoine, Thierry Tchalla, Achille |
author_sort | Bimou, Charlotte |
collection | PubMed |
description | BACKGROUND: Independence is related to the aging process. Loss of independence is defined as the inability to make decisions and participate in activities of daily living (ADLs). Independence is related to physical, psychological, biological, and socioeconomic factors. An enhanced understanding of older people’s independence trajectories and associated risk factors would enable the develop early intervention strategies. METHODS: Independence trajectory analysis was performed on patients identified in the Unité de Prévention de Suivi et d’Analyse du Vieillissement (UPSAV) database. UPSAV cohort is a prospective observational study. Participants were 221 community-dwelling persons aged ≥75 years followed for 24 months between July 2011–November 2013 and benefits from a prevention strategy. Data were collected prospectively using a questionnaire. Independence was assessed using the “Functional Autonomy Measurement System (Système de Mesure de l’Autonomie Fonctionnelle (SMAF))”. Group-based trajectory modeling (GBTM) was performed to identify independence trajectories, and the results were compared with those of k-means and hierarchical ascending classifications. A multinomial logistic regression was performed to identify predictive factors of the independence trajectory. RESULTS: Three distinct trajectories of independence were identified including a “Stable functional autonomy (SFA) trajectory” (53% of patients), a “Stable then decline functional autonomy decline (SDFA) trajectory” (33% of patients) and a “Constantly functional autonomy decline (CFAD) trajectory” (14% of patients). Not being a member of an association, and previous fall were significantly associated of a SDFA trajectory (P < 0.01). Absence of financial and human assistance, no hobbies, and cognitive disorder were significantly associated with a CFAD trajectory (P < 0.01). Previous occupation and multiple pathologies were predictive factors of both declining trajectories SDFA and CFAD. CONCLUSIONS: Community-living older persons exhibit distinct independence trajectories and the predictive factors. The evidence from this study suggests that the prevention and screening for the loss of independence of the older adults should be anticipated to maintaining autonomy. |
format | Online Article Text |
id | pubmed-7908646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79086462021-02-26 Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults Bimou, Charlotte Harel, Michel Laubarie-Mouret, Cécile Cardinaud, Noëlle Charenton-Blavignac, Marion Toumi, Nassima Trimouillas, Justine Gayot, Caroline Boyer, Sophie Hebert, Réjean Dantoine, Thierry Tchalla, Achille BMC Geriatr Research Article BACKGROUND: Independence is related to the aging process. Loss of independence is defined as the inability to make decisions and participate in activities of daily living (ADLs). Independence is related to physical, psychological, biological, and socioeconomic factors. An enhanced understanding of older people’s independence trajectories and associated risk factors would enable the develop early intervention strategies. METHODS: Independence trajectory analysis was performed on patients identified in the Unité de Prévention de Suivi et d’Analyse du Vieillissement (UPSAV) database. UPSAV cohort is a prospective observational study. Participants were 221 community-dwelling persons aged ≥75 years followed for 24 months between July 2011–November 2013 and benefits from a prevention strategy. Data were collected prospectively using a questionnaire. Independence was assessed using the “Functional Autonomy Measurement System (Système de Mesure de l’Autonomie Fonctionnelle (SMAF))”. Group-based trajectory modeling (GBTM) was performed to identify independence trajectories, and the results were compared with those of k-means and hierarchical ascending classifications. A multinomial logistic regression was performed to identify predictive factors of the independence trajectory. RESULTS: Three distinct trajectories of independence were identified including a “Stable functional autonomy (SFA) trajectory” (53% of patients), a “Stable then decline functional autonomy decline (SDFA) trajectory” (33% of patients) and a “Constantly functional autonomy decline (CFAD) trajectory” (14% of patients). Not being a member of an association, and previous fall were significantly associated of a SDFA trajectory (P < 0.01). Absence of financial and human assistance, no hobbies, and cognitive disorder were significantly associated with a CFAD trajectory (P < 0.01). Previous occupation and multiple pathologies were predictive factors of both declining trajectories SDFA and CFAD. CONCLUSIONS: Community-living older persons exhibit distinct independence trajectories and the predictive factors. The evidence from this study suggests that the prevention and screening for the loss of independence of the older adults should be anticipated to maintaining autonomy. BioMed Central 2021-02-26 /pmc/articles/PMC7908646/ /pubmed/33637045 http://dx.doi.org/10.1186/s12877-021-02063-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Bimou, Charlotte Harel, Michel Laubarie-Mouret, Cécile Cardinaud, Noëlle Charenton-Blavignac, Marion Toumi, Nassima Trimouillas, Justine Gayot, Caroline Boyer, Sophie Hebert, Réjean Dantoine, Thierry Tchalla, Achille Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults |
title | Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults |
title_full | Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults |
title_fullStr | Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults |
title_full_unstemmed | Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults |
title_short | Patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults |
title_sort | patterns and predictive factors of loss of the independence trajectory among community-dwelling older adults |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908646/ https://www.ncbi.nlm.nih.gov/pubmed/33637045 http://dx.doi.org/10.1186/s12877-021-02063-7 |
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