Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents

Background/Aims: To evaluate the associations between pediatric fatty liver severity, bioelectrical impedance analysis (BIA), and magnetic resonance imaging parameters, including total psoas muscle surface area (tPMSA) and paraspinal muscle fat (PMF). Methods: Children and adolescents who underwent...

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Main Authors: Kyungchul Song, Eun Gyung Seol, Eunju Lee, Hye Sun Lee, Hana Lee, Hyun Wook Chae, Hyun Joo Shin
Format: Article
Language:English
Published: Gastroenterology Council for Gut and Liver 2025-01-01
Series:Gut and Liver
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Online Access:http://gutnliver.org/journal/view.html?doi=10.5009/gnl240342
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author Kyungchul Song
Eun Gyung Seol
Eunju Lee
Hye Sun Lee
Hana Lee
Hyun Wook Chae
Hyun Joo Shin
author_facet Kyungchul Song
Eun Gyung Seol
Eunju Lee
Hye Sun Lee
Hana Lee
Hyun Wook Chae
Hyun Joo Shin
author_sort Kyungchul Song
collection DOAJ
description Background/Aims: To evaluate the associations between pediatric fatty liver severity, bioelectrical impedance analysis (BIA), and magnetic resonance imaging parameters, including total psoas muscle surface area (tPMSA) and paraspinal muscle fat (PMF). Methods: Children and adolescents who underwent BIA and liver magnetic resonance imaging between September 2022 and November 2023 were included. Linear regression analyses identified predictors of liver proton density fat fraction (PDFF) including BIA parameters, tPMSA, and PMF. Ordinal logistic regression analysis identified the association between these parameters and fatty liver grades. Pearson’s correlation coefficients were used to evaluate the relationships between tPMSA and muscle-related BIA parameters, and between PMF and fat-related BIA parameters. Results: Overall, 74 participants aged 8 to 16 years were included in the study. In the linear regression analyses, the percentage of body fat was positively associated with PDFF in all participants, whereas muscle-related BIA parameters were negatively associated with PDFF in participants with obesity. PMF and the PMF index were positively associated with PDFF in normalweight and overweight participants. In the ordinal logistic regression, percentage of body fat was positively associated with fatty liver grade in normal-weight and overweight participants and those with obesity, whereas muscle-related BIA parameters were negatively associated with fatty liver grade in participants with obesity. The PMF index was positively associated with fatty liver grade in normal/overweight participants. In the Pearson correlation analysis, muscle-related BIA parameters were correlated with tPMSA, and the fat-related BIA parameters were correlated with PMF. Conclusions: BIA parameters and PMF are potential screening tools for assessing fatty liver in children.
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spelling doaj-art-218eefb078ba487d885b70cdbab158182025-01-15T00:51:13ZengGastroenterology Council for Gut and LiverGut and Liver1976-22832025-01-0119110811510.5009/gnl240342gnl240342Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and AdolescentsKyungchul Song0Eun Gyung Seol1Eunju Lee2Hye Sun Lee3Hana Lee4Hyun Wook Chae5Hyun Joo Shin6Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, KoreaDepartment of Pediatrics, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, KoreaBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, KoreaBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, KoreaDepartment of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, KoreaDepartment of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, KoreaDepartment of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, KoreaBackground/Aims: To evaluate the associations between pediatric fatty liver severity, bioelectrical impedance analysis (BIA), and magnetic resonance imaging parameters, including total psoas muscle surface area (tPMSA) and paraspinal muscle fat (PMF). Methods: Children and adolescents who underwent BIA and liver magnetic resonance imaging between September 2022 and November 2023 were included. Linear regression analyses identified predictors of liver proton density fat fraction (PDFF) including BIA parameters, tPMSA, and PMF. Ordinal logistic regression analysis identified the association between these parameters and fatty liver grades. Pearson’s correlation coefficients were used to evaluate the relationships between tPMSA and muscle-related BIA parameters, and between PMF and fat-related BIA parameters. Results: Overall, 74 participants aged 8 to 16 years were included in the study. In the linear regression analyses, the percentage of body fat was positively associated with PDFF in all participants, whereas muscle-related BIA parameters were negatively associated with PDFF in participants with obesity. PMF and the PMF index were positively associated with PDFF in normalweight and overweight participants. In the ordinal logistic regression, percentage of body fat was positively associated with fatty liver grade in normal-weight and overweight participants and those with obesity, whereas muscle-related BIA parameters were negatively associated with fatty liver grade in participants with obesity. The PMF index was positively associated with fatty liver grade in normal/overweight participants. In the Pearson correlation analysis, muscle-related BIA parameters were correlated with tPMSA, and the fat-related BIA parameters were correlated with PMF. Conclusions: BIA parameters and PMF are potential screening tools for assessing fatty liver in children.http://gutnliver.org/journal/view.html?doi=10.5009/gnl240342child; fatty liver; non-alcoholic fatty liver disease; magnetic resonance imaging; body composition
spellingShingle Kyungchul Song
Eun Gyung Seol
Eunju Lee
Hye Sun Lee
Hana Lee
Hyun Wook Chae
Hyun Joo Shin
Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents
Gut and Liver
child; fatty liver; non-alcoholic fatty liver disease; magnetic resonance imaging; body composition
title Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents
title_full Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents
title_fullStr Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents
title_full_unstemmed Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents
title_short Association between Bioelectrical Impedance Parameters, Magnetic Resonance Imaging Muscle Parameters, and Fatty Liver Severity in Children and Adolescents
title_sort association between bioelectrical impedance parameters magnetic resonance imaging muscle parameters and fatty liver severity in children and adolescents
topic child; fatty liver; non-alcoholic fatty liver disease; magnetic resonance imaging; body composition
url http://gutnliver.org/journal/view.html?doi=10.5009/gnl240342
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