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Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People
Bioimpedance analysis (BIA) has been demanded for the assessment of appendicular skeletal muscle mass (ASM) in clinical and epidemiological settings. This study aimed to validate BIA equations for predicting ASM in the standing and supine positions; externally to cross-validate the new and published...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459522/ https://www.ncbi.nlm.nih.gov/pubmed/32806737 http://dx.doi.org/10.3390/ijerph17165847 |
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author | Jeon, Kwon Chan Kim, So-Young Jiang, Fang Lin Chung, Sochung Ambegaonkar, Jatin P. Park, Jae-Hyeon Kim, Young-Joo Kim, Chul-Hyun |
author_facet | Jeon, Kwon Chan Kim, So-Young Jiang, Fang Lin Chung, Sochung Ambegaonkar, Jatin P. Park, Jae-Hyeon Kim, Young-Joo Kim, Chul-Hyun |
author_sort | Jeon, Kwon Chan |
collection | PubMed |
description | Bioimpedance analysis (BIA) has been demanded for the assessment of appendicular skeletal muscle mass (ASM) in clinical and epidemiological settings. This study aimed to validate BIA equations for predicting ASM in the standing and supine positions; externally to cross-validate the new and published and built-in BIA equations for group and individual predictive accuracy; and to assess the overall agreement between the measured and predicted ASM index as sarcopenia diagnosis. In total, 199 healthy older adults completed the measurements of multifrequency BIA (InBody770 and InBodyS10) and dual-energy X-ray absorptiometry (DXA). Multiple regression analysis was used to validate the new multifrequency bioelectrical impedance analysis (MF-BIA) prediction equations. Each MF-BIA equation in the standing and supine position developed in the entire group included height(2)/resistance, sex, and reactance as predictors (R(2) = 92.7% and 92.8%, SEE = 1.02 kg and 1.01 kg ASM for the standing and supine MF-BIA). The new MF-BIA equations had a specificity positive predictive value and negative predictive value of 85% or more except for a sensitivity of about 60.0%. The new standing and supine MF-BIA prediction equation are useful for epidemiological and field settings as well as a clinical diagnosis of sarcopenia. Future research is needed to improve the sensitivity of diagnosis of sarcopenia using MF-BIA. |
format | Online Article Text |
id | pubmed-7459522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74595222020-09-02 Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People Jeon, Kwon Chan Kim, So-Young Jiang, Fang Lin Chung, Sochung Ambegaonkar, Jatin P. Park, Jae-Hyeon Kim, Young-Joo Kim, Chul-Hyun Int J Environ Res Public Health Article Bioimpedance analysis (BIA) has been demanded for the assessment of appendicular skeletal muscle mass (ASM) in clinical and epidemiological settings. This study aimed to validate BIA equations for predicting ASM in the standing and supine positions; externally to cross-validate the new and published and built-in BIA equations for group and individual predictive accuracy; and to assess the overall agreement between the measured and predicted ASM index as sarcopenia diagnosis. In total, 199 healthy older adults completed the measurements of multifrequency BIA (InBody770 and InBodyS10) and dual-energy X-ray absorptiometry (DXA). Multiple regression analysis was used to validate the new multifrequency bioelectrical impedance analysis (MF-BIA) prediction equations. Each MF-BIA equation in the standing and supine position developed in the entire group included height(2)/resistance, sex, and reactance as predictors (R(2) = 92.7% and 92.8%, SEE = 1.02 kg and 1.01 kg ASM for the standing and supine MF-BIA). The new MF-BIA equations had a specificity positive predictive value and negative predictive value of 85% or more except for a sensitivity of about 60.0%. The new standing and supine MF-BIA prediction equation are useful for epidemiological and field settings as well as a clinical diagnosis of sarcopenia. Future research is needed to improve the sensitivity of diagnosis of sarcopenia using MF-BIA. MDPI 2020-08-12 2020-08 /pmc/articles/PMC7459522/ /pubmed/32806737 http://dx.doi.org/10.3390/ijerph17165847 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 Jeon, Kwon Chan Kim, So-Young Jiang, Fang Lin Chung, Sochung Ambegaonkar, Jatin P. Park, Jae-Hyeon Kim, Young-Joo Kim, Chul-Hyun Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People |
title | Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People |
title_full | Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People |
title_fullStr | Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People |
title_full_unstemmed | Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People |
title_short | Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People |
title_sort | prediction equations of the multifrequency standing and supine bioimpedance for appendicular skeletal muscle mass in korean older people |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459522/ https://www.ncbi.nlm.nih.gov/pubmed/32806737 http://dx.doi.org/10.3390/ijerph17165847 |
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