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The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania
BACKGROUND: The frailty phenotype is defined by the presence of three from the following five clinical features: weakness, slow walking speed, unintentional weight loss, exhaustion, and low physical activity. It has been widely applied in different research and clinical contexts, including across ma...
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/PMC6240208/ https://www.ncbi.nlm.nih.gov/pubmed/30445919 http://dx.doi.org/10.1186/s12877-018-0967-0 |
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author | Lewis, Emma Grace Coles, Selina Howorth, Kate Kissima, John Gray, William Urasa, Sarah Walker, Richard Dotchin, Catherine |
author_facet | Lewis, Emma Grace Coles, Selina Howorth, Kate Kissima, John Gray, William Urasa, Sarah Walker, Richard Dotchin, Catherine |
author_sort | Lewis, Emma Grace |
collection | PubMed |
description | BACKGROUND: The frailty phenotype is defined by the presence of three from the following five clinical features: weakness, slow walking speed, unintentional weight loss, exhaustion, and low physical activity. It has been widely applied in different research and clinical contexts, including across many low and middle-income countries. However, there is evidence that the operationalisation of each component of the frailty phenotype significantly alters its characteristics and predictive validity, and care is needed when applying the phenotype across settings. The study’s objective was to operationalise the frailty phenotype in a rural Tanzanian population of older community-dwelling adults. METHODS: Consenting adults aged ≥60 years, and resident in five randomly selected villages of Hai district Demographic Surveillance Site, were eligible to participate in this cross-sectional study. From a screened sample of 1207 older adults, 235 were randomised and consented to an assessment of their frailty status by the frailty phenotype. Trained research fieldworkers (Tanzanian medical doctors and nurses) carried out measurements and questionnaires at local village centres or at participants’ homes. RESULTS: The prevalence of the frailty phenotype, calculated from complete data for 196 participants, was 9.25% (95% CI 4.39–14.12) When missing data were counted as meeting frailty criterion (i.e. missing due to inability to perform an assessment), the prevalence increased to 11.22% (95% CI 7.11–15.32). Frailty by phenotype criteria was more common in older age groups, and was associated with self-assessed poor health and depression symptoms. CONCLUSIONS: Frailty can be successfully estimated using the frailty phenotype, however there are challenges in its operationalisation cross-culturally. Further work is needed to explore the potential clinical application of the frailty phenotype in such settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0967-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6240208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62402082018-11-26 The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania Lewis, Emma Grace Coles, Selina Howorth, Kate Kissima, John Gray, William Urasa, Sarah Walker, Richard Dotchin, Catherine BMC Geriatr Research Article BACKGROUND: The frailty phenotype is defined by the presence of three from the following five clinical features: weakness, slow walking speed, unintentional weight loss, exhaustion, and low physical activity. It has been widely applied in different research and clinical contexts, including across many low and middle-income countries. However, there is evidence that the operationalisation of each component of the frailty phenotype significantly alters its characteristics and predictive validity, and care is needed when applying the phenotype across settings. The study’s objective was to operationalise the frailty phenotype in a rural Tanzanian population of older community-dwelling adults. METHODS: Consenting adults aged ≥60 years, and resident in five randomly selected villages of Hai district Demographic Surveillance Site, were eligible to participate in this cross-sectional study. From a screened sample of 1207 older adults, 235 were randomised and consented to an assessment of their frailty status by the frailty phenotype. Trained research fieldworkers (Tanzanian medical doctors and nurses) carried out measurements and questionnaires at local village centres or at participants’ homes. RESULTS: The prevalence of the frailty phenotype, calculated from complete data for 196 participants, was 9.25% (95% CI 4.39–14.12) When missing data were counted as meeting frailty criterion (i.e. missing due to inability to perform an assessment), the prevalence increased to 11.22% (95% CI 7.11–15.32). Frailty by phenotype criteria was more common in older age groups, and was associated with self-assessed poor health and depression symptoms. CONCLUSIONS: Frailty can be successfully estimated using the frailty phenotype, however there are challenges in its operationalisation cross-culturally. Further work is needed to explore the potential clinical application of the frailty phenotype in such settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0967-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-16 /pmc/articles/PMC6240208/ /pubmed/30445919 http://dx.doi.org/10.1186/s12877-018-0967-0 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 Lewis, Emma Grace Coles, Selina Howorth, Kate Kissima, John Gray, William Urasa, Sarah Walker, Richard Dotchin, Catherine The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania |
title | The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania |
title_full | The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania |
title_fullStr | The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania |
title_full_unstemmed | The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania |
title_short | The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania |
title_sort | prevalence and characteristics of frailty by frailty phenotype in rural tanzania |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240208/ https://www.ncbi.nlm.nih.gov/pubmed/30445919 http://dx.doi.org/10.1186/s12877-018-0967-0 |
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