Cargando…

Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China

Obesity, especially abdominal obesity, is correlated to increased risk of cardiovascular morbidity and mortality. It is urgent to search a simply method to predict visceral fat area (VFA). Herein, we evaluated the correlation of waist circumference (WC) measured by anthropometry and bioelectrical im...

Descripción completa

Detalles Bibliográficos
Autores principales: Qin, Qian, Yang, Yang, Chen, Jingfeng, Jiang, Yaojun, Li, Ang, Huang, Meng, Dong, Yihan, Wang, Shoujun, Ding, Suying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154961/
https://www.ncbi.nlm.nih.gov/pubmed/34040142
http://dx.doi.org/10.1038/s41598-021-90641-5
_version_ 1783699107878010880
author Qin, Qian
Yang, Yang
Chen, Jingfeng
Jiang, Yaojun
Li, Ang
Huang, Meng
Dong, Yihan
Wang, Shoujun
Ding, Suying
author_facet Qin, Qian
Yang, Yang
Chen, Jingfeng
Jiang, Yaojun
Li, Ang
Huang, Meng
Dong, Yihan
Wang, Shoujun
Ding, Suying
author_sort Qin, Qian
collection PubMed
description Obesity, especially abdominal obesity, is correlated to increased risk of cardiovascular morbidity and mortality. It is urgent to search a simply method to predict visceral fat area (VFA). Herein, we evaluated the correlation of waist circumference (WC) measured by anthropometry and bioelectrical impedance analysis (BIA), and VFA estimated by BIA or measured by quantitative computed tomography (QCT) in China. The mean body mass index (BMI) was 25.09 ± 3.31 kg/m(2) and the mean age was 49.16 ± 9.19 years in 2754 subjects. VFA-BIA were significantly smaller than VFA-QCT in both BMI and age subgroups between male and female (p < 0.001). High correlation was observed for WC between BIA and manually (r = 0.874 for all, r = 0.865 for male and r = 0.806 for female) and for VFA between BIA and QCT (r = 0.512 for all). The intraclass correlation coefficient (ICC) showed the perfect agreement between BIA and manually to measure WC (ICC = 0.832 for all, 0.845 for male and 0.697 for female) and implied a good reliability for VFA between BIA and QCT with women among subgroups (ICC = 0.623 for all, ICC = 0.634 for age < 50 years and ICC = 0.432 for BMI > 24 kg/m(2)), whereas the good reliability was lost in men (ICC = 0.174). The kappa analysis showed a moderate consistency for VFA measured by BIA and QCT (Kappa = 0.522 with age < 50 years, 0.565 with age ≥ 50 years in male; Kappa = 0.472 with age < 50 years, 0.486 with age ≥ 50 years in female). In addition, BIA to estimate VFA (r = 0.758 in male, r = 0.727 in female, P < 0.001) has a stronger correlation with VFA measured by QCT than BMI and WC according to gender categories. Furthermore, ROC analysis showed the cut-off point of VFA measured by BIA for predicting visceral obesity was: 101.90 cm(2), 119.96 cm(2) and 118.83 cm(2) and the Youden’s index was 0.577, 0.577 and 0.651, respectively and the Kappa value was 0.532, 0.536 and 0.611 in unadjusted model, model 1 and model 2. In conclusion, being non-invasive and free of radiation, BIA can be used as a safe and convenient tool to estimate VFA in female; especially for monitoring the VFA of the same person, the BIA has superiority to a certain extent. However, the consistency is not most ideal between BIA and QCT. When using BIA to assess whether a person is visceral obesity, we must take into consideration age, BMI and WC. Therefore, we established a regression formula to reflect VFA-QCT by VFA-BIA, age, BMI, and WC. In addition, a more accurate formula is needed to match the CT data in China.
format Online
Article
Text
id pubmed-8154961
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-81549612021-05-27 Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China Qin, Qian Yang, Yang Chen, Jingfeng Jiang, Yaojun Li, Ang Huang, Meng Dong, Yihan Wang, Shoujun Ding, Suying Sci Rep Article Obesity, especially abdominal obesity, is correlated to increased risk of cardiovascular morbidity and mortality. It is urgent to search a simply method to predict visceral fat area (VFA). Herein, we evaluated the correlation of waist circumference (WC) measured by anthropometry and bioelectrical impedance analysis (BIA), and VFA estimated by BIA or measured by quantitative computed tomography (QCT) in China. The mean body mass index (BMI) was 25.09 ± 3.31 kg/m(2) and the mean age was 49.16 ± 9.19 years in 2754 subjects. VFA-BIA were significantly smaller than VFA-QCT in both BMI and age subgroups between male and female (p < 0.001). High correlation was observed for WC between BIA and manually (r = 0.874 for all, r = 0.865 for male and r = 0.806 for female) and for VFA between BIA and QCT (r = 0.512 for all). The intraclass correlation coefficient (ICC) showed the perfect agreement between BIA and manually to measure WC (ICC = 0.832 for all, 0.845 for male and 0.697 for female) and implied a good reliability for VFA between BIA and QCT with women among subgroups (ICC = 0.623 for all, ICC = 0.634 for age < 50 years and ICC = 0.432 for BMI > 24 kg/m(2)), whereas the good reliability was lost in men (ICC = 0.174). The kappa analysis showed a moderate consistency for VFA measured by BIA and QCT (Kappa = 0.522 with age < 50 years, 0.565 with age ≥ 50 years in male; Kappa = 0.472 with age < 50 years, 0.486 with age ≥ 50 years in female). In addition, BIA to estimate VFA (r = 0.758 in male, r = 0.727 in female, P < 0.001) has a stronger correlation with VFA measured by QCT than BMI and WC according to gender categories. Furthermore, ROC analysis showed the cut-off point of VFA measured by BIA for predicting visceral obesity was: 101.90 cm(2), 119.96 cm(2) and 118.83 cm(2) and the Youden’s index was 0.577, 0.577 and 0.651, respectively and the Kappa value was 0.532, 0.536 and 0.611 in unadjusted model, model 1 and model 2. In conclusion, being non-invasive and free of radiation, BIA can be used as a safe and convenient tool to estimate VFA in female; especially for monitoring the VFA of the same person, the BIA has superiority to a certain extent. However, the consistency is not most ideal between BIA and QCT. When using BIA to assess whether a person is visceral obesity, we must take into consideration age, BMI and WC. Therefore, we established a regression formula to reflect VFA-QCT by VFA-BIA, age, BMI, and WC. In addition, a more accurate formula is needed to match the CT data in China. Nature Publishing Group UK 2021-05-26 /pmc/articles/PMC8154961/ /pubmed/34040142 http://dx.doi.org/10.1038/s41598-021-90641-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Qin, Qian
Yang, Yang
Chen, Jingfeng
Jiang, Yaojun
Li, Ang
Huang, Meng
Dong, Yihan
Wang, Shoujun
Ding, Suying
Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China
title Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China
title_full Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China
title_fullStr Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China
title_full_unstemmed Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China
title_short Bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in China
title_sort bioelectrical impedance analysis versus quantitative computer tomography and anthropometry for the assessment of body composition parameters in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154961/
https://www.ncbi.nlm.nih.gov/pubmed/34040142
http://dx.doi.org/10.1038/s41598-021-90641-5
work_keys_str_mv AT qinqian bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT yangyang bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT chenjingfeng bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT jiangyaojun bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT liang bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT huangmeng bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT dongyihan bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT wangshoujun bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina
AT dingsuying bioelectricalimpedanceanalysisversusquantitativecomputertomographyandanthropometryfortheassessmentofbodycompositionparametersinchina