What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank

<h4>Background</h4> In an increasingly older adult population, understanding the inter-relationship between three age related conditions malnutrition, frailty and sarcopenia is important in order to improve their recognition, treatment and prevention. This study aims to determine the ove...

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Main Authors: Nada AlMohaisen, Matthew Gittins, Chris Todd, Sorrel Burden
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725160/?tool=EBI
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author Nada AlMohaisen
Matthew Gittins
Chris Todd
Sorrel Burden
author_facet Nada AlMohaisen
Matthew Gittins
Chris Todd
Sorrel Burden
author_sort Nada AlMohaisen
collection DOAJ
description <h4>Background</h4> In an increasingly older adult population, understanding the inter-relationship between three age related conditions malnutrition, frailty and sarcopenia is important in order to improve their recognition, treatment and prevention. This study aims to determine the overlap between malnutrition, frailty and sarcopenia by measuring estimates of prevalence for each individual condition. In addition, we will compare two models of frailty which are the accumulation of deficits and phenotype models. <h4>Methods/design</h4> This is a cross-sectional study that will use the UK Biobank database, which will include a subset of 381,000 participants: males and females aged 50 years and above who completed the baseline assessments. For the baseline assessments, details of the participants’ characteristics will be included. All three conditions will be identified and mapped to variables collected at the baseline assessment. Variables for malnutrition will be mapped according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. Frailty will be defined according to two models: the 36 deficits and the phenotype model. Finally, sarcopenia will be assessed according to the European Working Group on Sarcopenia in Older People (EWGSOP) standard. <h4>Discussion</h4> This proposed study will help to understand the presence of malnutrition, frailty and sarcopenia in the older population and describe any overlap between the conditions. There is little published research on the overlap between these three conditions. Despite the similarity and shared criteria used for the identification of malnutrition, frailty and sarcopenia there is still a lack of cohesive thinking around the overlap of applied definitions and identification criteria. <h4>Trial registration</h4> ClinicalTrials.gov NCT04655456 approved on the 10th of December 2020.
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spelling doaj.art-0792330e21d14b1a8426d1627ef850d32022-12-22T04:23:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011712What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK BiobankNada AlMohaisenMatthew GittinsChris ToddSorrel Burden<h4>Background</h4> In an increasingly older adult population, understanding the inter-relationship between three age related conditions malnutrition, frailty and sarcopenia is important in order to improve their recognition, treatment and prevention. This study aims to determine the overlap between malnutrition, frailty and sarcopenia by measuring estimates of prevalence for each individual condition. In addition, we will compare two models of frailty which are the accumulation of deficits and phenotype models. <h4>Methods/design</h4> This is a cross-sectional study that will use the UK Biobank database, which will include a subset of 381,000 participants: males and females aged 50 years and above who completed the baseline assessments. For the baseline assessments, details of the participants’ characteristics will be included. All three conditions will be identified and mapped to variables collected at the baseline assessment. Variables for malnutrition will be mapped according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. Frailty will be defined according to two models: the 36 deficits and the phenotype model. Finally, sarcopenia will be assessed according to the European Working Group on Sarcopenia in Older People (EWGSOP) standard. <h4>Discussion</h4> This proposed study will help to understand the presence of malnutrition, frailty and sarcopenia in the older population and describe any overlap between the conditions. There is little published research on the overlap between these three conditions. Despite the similarity and shared criteria used for the identification of malnutrition, frailty and sarcopenia there is still a lack of cohesive thinking around the overlap of applied definitions and identification criteria. <h4>Trial registration</h4> ClinicalTrials.gov NCT04655456 approved on the 10th of December 2020.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725160/?tool=EBI
spellingShingle Nada AlMohaisen
Matthew Gittins
Chris Todd
Sorrel Burden
What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank
PLoS ONE
title What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank
title_full What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank
title_fullStr What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank
title_full_unstemmed What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank
title_short What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank
title_sort what is the overlap between malnutrition frailty and sarcopenia in the older population study protocol for cross sectional study using uk biobank
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725160/?tool=EBI
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