Cargando…
The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study
Purpose: To evaluate frailty and its relationship with geriatric syndromes in the context of socioeconomic variables. Patients and Methods: In this cross-sectional study, elderly people aged 65 years old and over who received homecare in the reference region of Crete, Greece, were enrolled. Geriatri...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602759/ https://www.ncbi.nlm.nih.gov/pubmed/36292526 http://dx.doi.org/10.3390/healthcare10102079 |
_version_ | 1784817396462125056 |
---|---|
author | Aravantinou-Karlatou, Antonia Kavasileiadou, Savvato Panagiotakis, Simeon Tziraki, Chariklia Almegewly, Wafa Androulakis, Emmanouil Kleisiaris, Christos |
author_facet | Aravantinou-Karlatou, Antonia Kavasileiadou, Savvato Panagiotakis, Simeon Tziraki, Chariklia Almegewly, Wafa Androulakis, Emmanouil Kleisiaris, Christos |
author_sort | Aravantinou-Karlatou, Antonia |
collection | PubMed |
description | Purpose: To evaluate frailty and its relationship with geriatric syndromes in the context of socioeconomic variables. Patients and Methods: In this cross-sectional study, elderly people aged 65 years old and over who received homecare in the reference region of Crete, Greece, were enrolled. Geriatric syndromes such as frailty, dementia, and depression were evaluated using the SHARE-Frailty Index (SHARE-Fi), the Montreal Cognitive Assessment (MoCA), and the Geriatric Depression Scale (GDS), respectively. Level of education, annual individual income, disability in Activities of Daily Living (ADL) and homebound status were also assessed as ‘socioeconomic factors.’ Results: The mean age of 301 participants was 78.45 (±7.87) years old. A proportion of 38.5% was identified as frail. A multiple logistic regression model revealed that elderly people with cognitive dysfunction were more likely to be frail (OR = 1.65; 95% CI: 0.55–4.98, p = 0.469) compared to those with normal cognition, but this association was not significant. Although elderly people with mild depression were significantly more likely to be frail (OR = 2.62; CI: 1.33–5.17, p = 0.005) compared to those with normal depression, the association for elderly people with severe depression (OR = 2.05, CI: 0.80–5.24, p = 0.134) was not significant. Additionally, comorbidity (OR = 1.06, CI: 0.49–2.27, p = 0.876) was not associated with frailty, suggesting that comorbidity is not a risk factor for frailty. In addition, patients with mild depression were significantly more likely to report frailty (OR = 2.62, CI:1.33–5.17, p = 0.005) compared to those with normal depression, whereas elders with an annual individual income (>EUR 4500) were less likely to be frail (OR = 0.45, CI: 0.25–0.83, p = 0.011) compared to those with <EUR 4500 per year. Conclusions: Our data analysis shows that higher annual individual income and mild depression were independently associated with frailty, suggesting that a lower poverty threshold and mild depression are risk factors for frailty. |
format | Online Article Text |
id | pubmed-9602759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96027592022-10-27 The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study Aravantinou-Karlatou, Antonia Kavasileiadou, Savvato Panagiotakis, Simeon Tziraki, Chariklia Almegewly, Wafa Androulakis, Emmanouil Kleisiaris, Christos Healthcare (Basel) Article Purpose: To evaluate frailty and its relationship with geriatric syndromes in the context of socioeconomic variables. Patients and Methods: In this cross-sectional study, elderly people aged 65 years old and over who received homecare in the reference region of Crete, Greece, were enrolled. Geriatric syndromes such as frailty, dementia, and depression were evaluated using the SHARE-Frailty Index (SHARE-Fi), the Montreal Cognitive Assessment (MoCA), and the Geriatric Depression Scale (GDS), respectively. Level of education, annual individual income, disability in Activities of Daily Living (ADL) and homebound status were also assessed as ‘socioeconomic factors.’ Results: The mean age of 301 participants was 78.45 (±7.87) years old. A proportion of 38.5% was identified as frail. A multiple logistic regression model revealed that elderly people with cognitive dysfunction were more likely to be frail (OR = 1.65; 95% CI: 0.55–4.98, p = 0.469) compared to those with normal cognition, but this association was not significant. Although elderly people with mild depression were significantly more likely to be frail (OR = 2.62; CI: 1.33–5.17, p = 0.005) compared to those with normal depression, the association for elderly people with severe depression (OR = 2.05, CI: 0.80–5.24, p = 0.134) was not significant. Additionally, comorbidity (OR = 1.06, CI: 0.49–2.27, p = 0.876) was not associated with frailty, suggesting that comorbidity is not a risk factor for frailty. In addition, patients with mild depression were significantly more likely to report frailty (OR = 2.62, CI:1.33–5.17, p = 0.005) compared to those with normal depression, whereas elders with an annual individual income (>EUR 4500) were less likely to be frail (OR = 0.45, CI: 0.25–0.83, p = 0.011) compared to those with <EUR 4500 per year. Conclusions: Our data analysis shows that higher annual individual income and mild depression were independently associated with frailty, suggesting that a lower poverty threshold and mild depression are risk factors for frailty. MDPI 2022-10-19 /pmc/articles/PMC9602759/ /pubmed/36292526 http://dx.doi.org/10.3390/healthcare10102079 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Aravantinou-Karlatou, Antonia Kavasileiadou, Savvato Panagiotakis, Simeon Tziraki, Chariklia Almegewly, Wafa Androulakis, Emmanouil Kleisiaris, Christos The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study |
title | The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study |
title_full | The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study |
title_fullStr | The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study |
title_full_unstemmed | The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study |
title_short | The Impact of Socioeconomic Factors and Geriatric Syndromes on Frailty among Elderly People Receiving Home-Based Healthcare: A Cross-Sectional Study |
title_sort | impact of socioeconomic factors and geriatric syndromes on frailty among elderly people receiving home-based healthcare: a cross-sectional study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602759/ https://www.ncbi.nlm.nih.gov/pubmed/36292526 http://dx.doi.org/10.3390/healthcare10102079 |
work_keys_str_mv | AT aravantinoukarlatouantonia theimpactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT kavasileiadousavvato theimpactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT panagiotakissimeon theimpactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT tzirakichariklia theimpactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT almegewlywafa theimpactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT androulakisemmanouil theimpactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT kleisiarischristos theimpactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT aravantinoukarlatouantonia impactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT kavasileiadousavvato impactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT panagiotakissimeon impactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT tzirakichariklia impactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT almegewlywafa impactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT androulakisemmanouil impactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy AT kleisiarischristos impactofsocioeconomicfactorsandgeriatricsyndromesonfrailtyamongelderlypeoplereceivinghomebasedhealthcareacrosssectionalstudy |