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Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults

For the assessment of sarcopenia or other geriatric frailty syndromes, psoas major area may be one of the primary indicators. Aim to develop and cross-validate the psoas cross-sectional area estimation equation of L3-L4 of the elderly over 60 years old by bioelectrical impedance analysis (BIA). Nine...

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Autores principales: Chu, Lee-Ping, Chen, Kuen-Tsann, Lu, Hsueh-Kuan, Lai, Chung-Liang, Huang, Hsing-Ching, Hsieh, Kuen-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062543/
https://www.ncbi.nlm.nih.gov/pubmed/36996063
http://dx.doi.org/10.1371/journal.pone.0275884
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author Chu, Lee-Ping
Chen, Kuen-Tsann
Lu, Hsueh-Kuan
Lai, Chung-Liang
Huang, Hsing-Ching
Hsieh, Kuen-Chang
author_facet Chu, Lee-Ping
Chen, Kuen-Tsann
Lu, Hsueh-Kuan
Lai, Chung-Liang
Huang, Hsing-Ching
Hsieh, Kuen-Chang
author_sort Chu, Lee-Ping
collection PubMed
description For the assessment of sarcopenia or other geriatric frailty syndromes, psoas major area may be one of the primary indicators. Aim to develop and cross-validate the psoas cross-sectional area estimation equation of L3-L4 of the elderly over 60 years old by bioelectrical impedance analysis (BIA). Ninety-two older adults with normal mobility were enrolled (47 females, 45 males), and were randomly divided into a modeling group (MG, n = 62) and validation group (VG, n = 30). Computed tomography (CT) was used to measure the psoas major area at the’ L3-L4 lumbar vertebrae height as a predictor. Estimated variables were height (h), whole body impedance (Z(whole)), whole body impedance index (h(2)/Z(whole), WBI), age, gender (female = 0, male = 1), and body weight (weight) by standing BIA. Relevant variables were estimated using stepwise regression analysis. Model performance was confirmed by cross-validation. BIA estimation equation for PMM obtained from the MG was: (PMM(BIA) = 0.183 h(2)/Z– 0.223 age + 4.443 gender + 5.727, r(2) = 0.702, n = 62, SEE = 2.432 cm(2), p < 0.001). The correlation coefficient r obtained by incorporating the VG data into the PMM equation was 0.846, and the LOA ranged from -4.55 to 4.75 cm(2). PMM(BIA) and PMM(CT) both correlate highly with MG or VG with small LOA. The fast and convenient standing BIA for measuring PMM may be a promising method that is worth developing.
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spelling pubmed-100625432023-03-31 Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults Chu, Lee-Ping Chen, Kuen-Tsann Lu, Hsueh-Kuan Lai, Chung-Liang Huang, Hsing-Ching Hsieh, Kuen-Chang PLoS One Research Article For the assessment of sarcopenia or other geriatric frailty syndromes, psoas major area may be one of the primary indicators. Aim to develop and cross-validate the psoas cross-sectional area estimation equation of L3-L4 of the elderly over 60 years old by bioelectrical impedance analysis (BIA). Ninety-two older adults with normal mobility were enrolled (47 females, 45 males), and were randomly divided into a modeling group (MG, n = 62) and validation group (VG, n = 30). Computed tomography (CT) was used to measure the psoas major area at the’ L3-L4 lumbar vertebrae height as a predictor. Estimated variables were height (h), whole body impedance (Z(whole)), whole body impedance index (h(2)/Z(whole), WBI), age, gender (female = 0, male = 1), and body weight (weight) by standing BIA. Relevant variables were estimated using stepwise regression analysis. Model performance was confirmed by cross-validation. BIA estimation equation for PMM obtained from the MG was: (PMM(BIA) = 0.183 h(2)/Z– 0.223 age + 4.443 gender + 5.727, r(2) = 0.702, n = 62, SEE = 2.432 cm(2), p < 0.001). The correlation coefficient r obtained by incorporating the VG data into the PMM equation was 0.846, and the LOA ranged from -4.55 to 4.75 cm(2). PMM(BIA) and PMM(CT) both correlate highly with MG or VG with small LOA. The fast and convenient standing BIA for measuring PMM may be a promising method that is worth developing. Public Library of Science 2023-03-30 /pmc/articles/PMC10062543/ /pubmed/36996063 http://dx.doi.org/10.1371/journal.pone.0275884 Text en © 2023 Chu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chu, Lee-Ping
Chen, Kuen-Tsann
Lu, Hsueh-Kuan
Lai, Chung-Liang
Huang, Hsing-Ching
Hsieh, Kuen-Chang
Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults
title Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults
title_full Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults
title_fullStr Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults
title_full_unstemmed Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults
title_short Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults
title_sort preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062543/
https://www.ncbi.nlm.nih.gov/pubmed/36996063
http://dx.doi.org/10.1371/journal.pone.0275884
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