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Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects

BACKGROUND: Sarcopenia, the decrease in muscle mass and function, may lead to various negative health outcomes in elderly. The association among sarcopenia with adiposity and metabolic markers has rarely been studied in the elderly population, with controversial results. The aim of this study is to...

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Autores principales: Perna, Simone, Guido, Davide, Grassi, Mario, Rondanelli, Mariangela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4345994/
https://www.ncbi.nlm.nih.gov/pubmed/25759569
http://dx.doi.org/10.2147/CIA.S67872
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author Perna, Simone
Guido, Davide
Grassi, Mario
Rondanelli, Mariangela
author_facet Perna, Simone
Guido, Davide
Grassi, Mario
Rondanelli, Mariangela
author_sort Perna, Simone
collection PubMed
description BACKGROUND: Sarcopenia, the decrease in muscle mass and function, may lead to various negative health outcomes in elderly. The association among sarcopenia with adiposity and metabolic markers has rarely been studied in the elderly population, with controversial results. The aim of this study is to evaluate this relationship in older subjects. METHODS: A cross-sectional study was conducted in 290 elderly patients, focusing on the possible association between muscle mass loss, assessed by relative skeletal muscle mass (RSMM), and an adipo-metabolic profile (AMP) defined by adiposity and metabolic biochemical markers. Measurements of body composition were assessed by dual energy X-ray absorptiometry. Biochemical parameters, such as albumin, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol, triglycerides, C-reactive protein, and homocysteine and its related markers (folate and vitamin B12) were measured. Using canonical correlation analysis and structural equation modeling, an individual score of AMP was created and correlated with RSMM. RESULTS: The AMP–RSMM correlation was equal to +0.642 (95% confidence interval, +0.512 to +0.773; P<0.001). Hence, a negative association between sarcopenia severity and adiposity/metabolic biochemical markers was highlighted. CONCLUSION: This study contained a novel way to examine the relationship between the variables of interest based on a composite index of adiposity and metabolic conditions. Results shed light on the orientation and magnitude of adiposity and metabolic markers in preventing muscle mass loss. There might be a protective effect of adiposity, compatible with the “obesity paradox.”
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spelling pubmed-43459942015-03-10 Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects Perna, Simone Guido, Davide Grassi, Mario Rondanelli, Mariangela Clin Interv Aging Original Research BACKGROUND: Sarcopenia, the decrease in muscle mass and function, may lead to various negative health outcomes in elderly. The association among sarcopenia with adiposity and metabolic markers has rarely been studied in the elderly population, with controversial results. The aim of this study is to evaluate this relationship in older subjects. METHODS: A cross-sectional study was conducted in 290 elderly patients, focusing on the possible association between muscle mass loss, assessed by relative skeletal muscle mass (RSMM), and an adipo-metabolic profile (AMP) defined by adiposity and metabolic biochemical markers. Measurements of body composition were assessed by dual energy X-ray absorptiometry. Biochemical parameters, such as albumin, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol, triglycerides, C-reactive protein, and homocysteine and its related markers (folate and vitamin B12) were measured. Using canonical correlation analysis and structural equation modeling, an individual score of AMP was created and correlated with RSMM. RESULTS: The AMP–RSMM correlation was equal to +0.642 (95% confidence interval, +0.512 to +0.773; P<0.001). Hence, a negative association between sarcopenia severity and adiposity/metabolic biochemical markers was highlighted. CONCLUSION: This study contained a novel way to examine the relationship between the variables of interest based on a composite index of adiposity and metabolic conditions. Results shed light on the orientation and magnitude of adiposity and metabolic markers in preventing muscle mass loss. There might be a protective effect of adiposity, compatible with the “obesity paradox.” Dove Medical Press 2015-02-26 /pmc/articles/PMC4345994/ /pubmed/25759569 http://dx.doi.org/10.2147/CIA.S67872 Text en © 2015 Perna et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Perna, Simone
Guido, Davide
Grassi, Mario
Rondanelli, Mariangela
Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects
title Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects
title_full Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects
title_fullStr Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects
title_full_unstemmed Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects
title_short Association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects
title_sort association between muscle mass and adipo-metabolic profile: a cross-sectional study in older subjects
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4345994/
https://www.ncbi.nlm.nih.gov/pubmed/25759569
http://dx.doi.org/10.2147/CIA.S67872
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