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What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults?

Malnutrition is common in older adults and is associated with functional impairment, reduced quality of life, and increased morbidity and mortality. The aim of this study was to explore the association between health (including depression), physical functioning, disability and cognitive decline, and...

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Autores principales: Donini, Lorenzo M., Stephan, Blossom C. M., Rosano, Aldo, Molfino, Alessio, Poggiogalle, Eleonora, Lenzi, Andrea, Siervo, Mario, Muscaritoli, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551464/
https://www.ncbi.nlm.nih.gov/pubmed/32961917
http://dx.doi.org/10.3390/nu12092857
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author Donini, Lorenzo M.
Stephan, Blossom C. M.
Rosano, Aldo
Molfino, Alessio
Poggiogalle, Eleonora
Lenzi, Andrea
Siervo, Mario
Muscaritoli, Maurizio
author_facet Donini, Lorenzo M.
Stephan, Blossom C. M.
Rosano, Aldo
Molfino, Alessio
Poggiogalle, Eleonora
Lenzi, Andrea
Siervo, Mario
Muscaritoli, Maurizio
author_sort Donini, Lorenzo M.
collection PubMed
description Malnutrition is common in older adults and is associated with functional impairment, reduced quality of life, and increased morbidity and mortality. The aim of this study was to explore the association between health (including depression), physical functioning, disability and cognitive decline, and risk of malnutrition. Participants were recruited from nursing homes in Italy and completed a detailed multidimensional geriatric evaluation. All the data analyses were completed using Stata Version 15.1. The study included 246 participants with an age range of 50 to 102 (80.4 ± 10.5). The sample was characterised by a high degree of cognitive and functional impairment, disability, and poor health and nutritional status (according to Mini Nutritional Assessment (MNA), 38.2% were at risk for malnutrition and 19.5% were malnourished). Using a stepwise linear regression model, age (B = −0.043, SE = 0.016, p = 0.010), depression (B = −0.133, SE = 0.052, p = 0.011), disability (B = 0.517, SE = 0.068, p < 0.001), and physical performance (B = −0.191, SE = 0.095, p = 0.045) remained significantly associated with the malnutrition risk in the final model (adjusted R-squared = 0.298). The logistic regression model incorporating age, depression, disability, and physical performance was found to have high discriminative accuracy (AUC = 0.747; 95%CI: 0.686 to 0.808) for predicting the risk of malnutrition. The results of the study confirm the need to assess nutritional status and to investigate the presence of risk factors associated with malnutrition in order to achieve effective prevention and plan a better intervention strategy.
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spelling pubmed-75514642020-10-14 What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults? Donini, Lorenzo M. Stephan, Blossom C. M. Rosano, Aldo Molfino, Alessio Poggiogalle, Eleonora Lenzi, Andrea Siervo, Mario Muscaritoli, Maurizio Nutrients Article Malnutrition is common in older adults and is associated with functional impairment, reduced quality of life, and increased morbidity and mortality. The aim of this study was to explore the association between health (including depression), physical functioning, disability and cognitive decline, and risk of malnutrition. Participants were recruited from nursing homes in Italy and completed a detailed multidimensional geriatric evaluation. All the data analyses were completed using Stata Version 15.1. The study included 246 participants with an age range of 50 to 102 (80.4 ± 10.5). The sample was characterised by a high degree of cognitive and functional impairment, disability, and poor health and nutritional status (according to Mini Nutritional Assessment (MNA), 38.2% were at risk for malnutrition and 19.5% were malnourished). Using a stepwise linear regression model, age (B = −0.043, SE = 0.016, p = 0.010), depression (B = −0.133, SE = 0.052, p = 0.011), disability (B = 0.517, SE = 0.068, p < 0.001), and physical performance (B = −0.191, SE = 0.095, p = 0.045) remained significantly associated with the malnutrition risk in the final model (adjusted R-squared = 0.298). The logistic regression model incorporating age, depression, disability, and physical performance was found to have high discriminative accuracy (AUC = 0.747; 95%CI: 0.686 to 0.808) for predicting the risk of malnutrition. The results of the study confirm the need to assess nutritional status and to investigate the presence of risk factors associated with malnutrition in order to achieve effective prevention and plan a better intervention strategy. MDPI 2020-09-18 /pmc/articles/PMC7551464/ /pubmed/32961917 http://dx.doi.org/10.3390/nu12092857 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Donini, Lorenzo M.
Stephan, Blossom C. M.
Rosano, Aldo
Molfino, Alessio
Poggiogalle, Eleonora
Lenzi, Andrea
Siervo, Mario
Muscaritoli, Maurizio
What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults?
title What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults?
title_full What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults?
title_fullStr What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults?
title_full_unstemmed What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults?
title_short What Are the Risk Factors for Malnutrition in Older-Aged Institutionalized Adults?
title_sort what are the risk factors for malnutrition in older-aged institutionalized adults?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551464/
https://www.ncbi.nlm.nih.gov/pubmed/32961917
http://dx.doi.org/10.3390/nu12092857
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