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Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder

This study aimed to evaluate the most valid index among various indices of low muscle mass in assessing cardiometabolic risks in a Korean population. Appendicular lean mass index (ALMI, kg/m(2)), fat mass index (FMI, kg/m(2)), FMI-adjusted ALMI (ALM(fmi)), ratio of ALM to weight index (ALM(wt)), rat...

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Autores principales: Kim, Ju Young, Oh, Sohee, Park, Hwa Yeon, Jun, Ji Hye, Kim, Hwa Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345970/
https://www.ncbi.nlm.nih.gov/pubmed/30679721
http://dx.doi.org/10.1038/s41598-018-37347-3
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author Kim, Ju Young
Oh, Sohee
Park, Hwa Yeon
Jun, Ji Hye
Kim, Hwa Jung
author_facet Kim, Ju Young
Oh, Sohee
Park, Hwa Yeon
Jun, Ji Hye
Kim, Hwa Jung
author_sort Kim, Ju Young
collection PubMed
description This study aimed to evaluate the most valid index among various indices of low muscle mass in assessing cardiometabolic risks in a Korean population. Appendicular lean mass index (ALMI, kg/m(2)), fat mass index (FMI, kg/m(2)), FMI-adjusted ALMI (ALM(fmi)), ratio of ALM to weight index (ALM(wt)), ratio of ALM to body mass index (ALM(bmi)) and ratio of ALM to truncal fat index (ALM(trunkfat)) were measured by dual energy X-ray absorptiometry in 17,870 participants from 2008 to 2011. We adopted all the aforementioned indices of low muscle mass expressed as sex- and age-specific standard deviation scores (Z-scores). Low muscle mass for age was defined as Z-score <−1. The prevalence of low muscle mass was approximately 16% across all indices. Low muscle mass defined by ALMI had low muscle mass and low fat mass, and ALM(fmi) had low muscle mass at the same FMI. However, low muscle mass defined by ALM(wt), ALM(bmi) and ALM(trunkfat) had similar muscle mass with high FMI. The receiver operating characteristic curve in metabolic syndrome showed that the ALM(trunkfat) was 0.74 in male and 0.69 in female, indicating that ALM(trunkfat) was the best discrimination index for metabolic syndrome. This study showed that ALM(trunkfat) could be a useful indicator for screening cardiometabolic risk factors, particularly in normal or overweight Asian population.
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spelling pubmed-63459702019-01-29 Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder Kim, Ju Young Oh, Sohee Park, Hwa Yeon Jun, Ji Hye Kim, Hwa Jung Sci Rep Article This study aimed to evaluate the most valid index among various indices of low muscle mass in assessing cardiometabolic risks in a Korean population. Appendicular lean mass index (ALMI, kg/m(2)), fat mass index (FMI, kg/m(2)), FMI-adjusted ALMI (ALM(fmi)), ratio of ALM to weight index (ALM(wt)), ratio of ALM to body mass index (ALM(bmi)) and ratio of ALM to truncal fat index (ALM(trunkfat)) were measured by dual energy X-ray absorptiometry in 17,870 participants from 2008 to 2011. We adopted all the aforementioned indices of low muscle mass expressed as sex- and age-specific standard deviation scores (Z-scores). Low muscle mass for age was defined as Z-score <−1. The prevalence of low muscle mass was approximately 16% across all indices. Low muscle mass defined by ALMI had low muscle mass and low fat mass, and ALM(fmi) had low muscle mass at the same FMI. However, low muscle mass defined by ALM(wt), ALM(bmi) and ALM(trunkfat) had similar muscle mass with high FMI. The receiver operating characteristic curve in metabolic syndrome showed that the ALM(trunkfat) was 0.74 in male and 0.69 in female, indicating that ALM(trunkfat) was the best discrimination index for metabolic syndrome. This study showed that ALM(trunkfat) could be a useful indicator for screening cardiometabolic risk factors, particularly in normal or overweight Asian population. Nature Publishing Group UK 2019-01-24 /pmc/articles/PMC6345970/ /pubmed/30679721 http://dx.doi.org/10.1038/s41598-018-37347-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kim, Ju Young
Oh, Sohee
Park, Hwa Yeon
Jun, Ji Hye
Kim, Hwa Jung
Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
title Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
title_full Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
title_fullStr Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
title_full_unstemmed Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
title_short Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
title_sort comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345970/
https://www.ncbi.nlm.nih.gov/pubmed/30679721
http://dx.doi.org/10.1038/s41598-018-37347-3
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