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Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease
We sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index <...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534718/ https://www.ncbi.nlm.nih.gov/pubmed/37764663 http://dx.doi.org/10.3390/nu15183878 |
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author | Onishi, Saori Fukuda, Akira Matsui, Masahiro Ushiro, Kosuke Nishikawa, Tomohiro Asai, Akira Kim, Soo Ki Nishikawa, Hiroki |
author_facet | Onishi, Saori Fukuda, Akira Matsui, Masahiro Ushiro, Kosuke Nishikawa, Tomohiro Asai, Akira Kim, Soo Ki Nishikawa, Hiroki |
author_sort | Onishi, Saori |
collection | PubMed |
description | We sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females were defined as having decreased skeletal muscle mass. The median age and body mass index (BMI) were 55 years and 25.4 kg/m(2) in males, and 57 years and 25.4 kg/m(2) in females, respectively. The FF index strongly correlated with muscle mass index both in males (r = 0.999) and females (r = 0.999). The prevalence of patients with an FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females was well stratified according to age, BMI, severity of FL, and FIB4 index. In the males, in the multivariate analysis, BMI (p < 0.0001), fat mass index (p < 0.0001), and waist circumference (p = 0.0050) were found to be significant factors linked to FF index. In the females, in the multivariate analysis, BMI (p < 0.0001) and fat mass index (p < 0.0001) were found to be significant. In conclusion, fat accumulation as reflected by BMI, which is an easily available marker, could be a useful indicator for the skeletal muscle mass in MAFLD. |
format | Online Article Text |
id | pubmed-10534718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105347182023-09-29 Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease Onishi, Saori Fukuda, Akira Matsui, Masahiro Ushiro, Kosuke Nishikawa, Tomohiro Asai, Akira Kim, Soo Ki Nishikawa, Hiroki Nutrients Article We sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females were defined as having decreased skeletal muscle mass. The median age and body mass index (BMI) were 55 years and 25.4 kg/m(2) in males, and 57 years and 25.4 kg/m(2) in females, respectively. The FF index strongly correlated with muscle mass index both in males (r = 0.999) and females (r = 0.999). The prevalence of patients with an FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females was well stratified according to age, BMI, severity of FL, and FIB4 index. In the males, in the multivariate analysis, BMI (p < 0.0001), fat mass index (p < 0.0001), and waist circumference (p = 0.0050) were found to be significant factors linked to FF index. In the females, in the multivariate analysis, BMI (p < 0.0001) and fat mass index (p < 0.0001) were found to be significant. In conclusion, fat accumulation as reflected by BMI, which is an easily available marker, could be a useful indicator for the skeletal muscle mass in MAFLD. MDPI 2023-09-06 /pmc/articles/PMC10534718/ /pubmed/37764663 http://dx.doi.org/10.3390/nu15183878 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Onishi, Saori Fukuda, Akira Matsui, Masahiro Ushiro, Kosuke Nishikawa, Tomohiro Asai, Akira Kim, Soo Ki Nishikawa, Hiroki Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease |
title | Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease |
title_full | Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease |
title_fullStr | Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease |
title_full_unstemmed | Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease |
title_short | Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease |
title_sort | body composition analysis in patients with metabolic dysfunction-associated fatty liver disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534718/ https://www.ncbi.nlm.nih.gov/pubmed/37764663 http://dx.doi.org/10.3390/nu15183878 |
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