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The frail older person does not exist: development of frailty profiles with latent class analysis
BACKGROUND: A fundamental issue in elderly care is targeting those older people at risk and in need of care interventions. Frailty is widely used to capture variations in health risks but there is no general consensus on the conceptualization of frailty. Indeed, there is considerable heterogeneity i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885355/ https://www.ncbi.nlm.nih.gov/pubmed/29618334 http://dx.doi.org/10.1186/s12877-018-0776-5 |
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author | Looman, W. M. Fabbricotti, I. N. Blom, J. W. Jansen, A. P. D. Lutomski, J. E. Metzelthin, S. F. Huijsman, R. |
author_facet | Looman, W. M. Fabbricotti, I. N. Blom, J. W. Jansen, A. P. D. Lutomski, J. E. Metzelthin, S. F. Huijsman, R. |
author_sort | Looman, W. M. |
collection | PubMed |
description | BACKGROUND: A fundamental issue in elderly care is targeting those older people at risk and in need of care interventions. Frailty is widely used to capture variations in health risks but there is no general consensus on the conceptualization of frailty. Indeed, there is considerable heterogeneity in the group of older people characterized as frail. This research identifies frailty profiles based on the physical, psychological, social and cognitive domains of functioning and the severity of the problems within these domains. METHODS: This research was a secondary data-analysis of older persons derived from The Older Person and Informal Caregiver Minimum Dataset. Selected respondents were 60 years and older (n = 43,704; 59.6% female). The following variables were included: self-reported health, cognitive functioning, social functioning, mental health, morbidity status, and functional limitations. Using latent class analysis, the population was divided in subpopulations that were subsequently discussed in a focus group with older people for further validation. RESULTS: We distinguished six frailty profiles: relatively healthy; mild physically frail; psychologically frail; severe physically frail; medically frail and multi-frail. The relatively healthy had limited problems across all domains. In three profiles older people mostly had singular problems in either the physical or psychological domain and the severity of the problems differed. Two remaining profiles were multidimensional with a combination of problems that extended to the social and cognitive domains. CONCLUSIONS: Our research provides an empirical base for meaningful frailty profiles. The profiles showed specific patterns underlying the problems in different domains of functioning. The heterogeneous population of frail older people has differing needs and faces different health issues that should be considered to tailor care interventions. Evaluation research of these interventions should acknowledge the heterogeneity of frailty by profiling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0776-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5885355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58853552018-04-09 The frail older person does not exist: development of frailty profiles with latent class analysis Looman, W. M. Fabbricotti, I. N. Blom, J. W. Jansen, A. P. D. Lutomski, J. E. Metzelthin, S. F. Huijsman, R. BMC Geriatr Research Article BACKGROUND: A fundamental issue in elderly care is targeting those older people at risk and in need of care interventions. Frailty is widely used to capture variations in health risks but there is no general consensus on the conceptualization of frailty. Indeed, there is considerable heterogeneity in the group of older people characterized as frail. This research identifies frailty profiles based on the physical, psychological, social and cognitive domains of functioning and the severity of the problems within these domains. METHODS: This research was a secondary data-analysis of older persons derived from The Older Person and Informal Caregiver Minimum Dataset. Selected respondents were 60 years and older (n = 43,704; 59.6% female). The following variables were included: self-reported health, cognitive functioning, social functioning, mental health, morbidity status, and functional limitations. Using latent class analysis, the population was divided in subpopulations that were subsequently discussed in a focus group with older people for further validation. RESULTS: We distinguished six frailty profiles: relatively healthy; mild physically frail; psychologically frail; severe physically frail; medically frail and multi-frail. The relatively healthy had limited problems across all domains. In three profiles older people mostly had singular problems in either the physical or psychological domain and the severity of the problems differed. Two remaining profiles were multidimensional with a combination of problems that extended to the social and cognitive domains. CONCLUSIONS: Our research provides an empirical base for meaningful frailty profiles. The profiles showed specific patterns underlying the problems in different domains of functioning. The heterogeneous population of frail older people has differing needs and faces different health issues that should be considered to tailor care interventions. Evaluation research of these interventions should acknowledge the heterogeneity of frailty by profiling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0776-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-04 /pmc/articles/PMC5885355/ /pubmed/29618334 http://dx.doi.org/10.1186/s12877-018-0776-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Looman, W. M. Fabbricotti, I. N. Blom, J. W. Jansen, A. P. D. Lutomski, J. E. Metzelthin, S. F. Huijsman, R. The frail older person does not exist: development of frailty profiles with latent class analysis |
title | The frail older person does not exist: development of frailty profiles with latent class analysis |
title_full | The frail older person does not exist: development of frailty profiles with latent class analysis |
title_fullStr | The frail older person does not exist: development of frailty profiles with latent class analysis |
title_full_unstemmed | The frail older person does not exist: development of frailty profiles with latent class analysis |
title_short | The frail older person does not exist: development of frailty profiles with latent class analysis |
title_sort | frail older person does not exist: development of frailty profiles with latent class analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885355/ https://www.ncbi.nlm.nih.gov/pubmed/29618334 http://dx.doi.org/10.1186/s12877-018-0776-5 |
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