Linear Regression Models for Fat Free Mass Measurement Based on Bioelectrical Impedance Analysis

2019 ◽  
Author(s):  
Tahasin Ahmed Fahim ◽  
Md. Shamim Anower ◽  
Mst. Farzana Khatun ◽  
Syed Tauhid Zuhori
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Bioelectrical Impedance Analysis ◽  
Mass Measurement ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Linear Regression Models

scholarly journals Bioelectrical Impedance Analysis Versus Quantitative Computer Tomography and Anthropometry for The Assessment of Body Composition Parameters in China

2020 ◽  
Author(s):  
Qian Qin ◽  
Yang Yang ◽  
Jingfeng Chen ◽  
Yaojun Jiang ◽  
Ang Li ◽  
...  
Keyword(s):  
Body Composition ◽  
Linear Regression ◽  
Computer Tomography ◽  
Visceral Fat ◽  
Regression Models ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Linear Regression Models ◽  
Quantitative Computer Tomography

Abstract Objectives: The study evaluated the bioelectrical impedance analysis (BIA) device against the body composition parameters measured by anthropometry and quantitative computer tomography (QCT) to assess its reliability and accuracy among Chinese adults.Methods: Body composition parameters (waist circumstance [WC], body weight, body mass index [BMI] and visceral fat area [VFA]) were measured in 1,379 subjects (20-81 years old), both manually and by BIA, and in 1,317 of 1,379 subjects by QCT. The correlation coefficients were calculated between these measurements. Linear regression models were used to estimate each parameter based on the BIA measurements. Multivariate linear regression models were applied to calculate the correlation among VFA, WC and BMI. The concordance correlation coefficient from the Bland-Altman plots were calculated for VFA between QCT and BIA. Results: High correlation was observed for WC, weight and BMI (adjusted R2=0.78, 0.99 and 0.99) between BIA and anthropometry, and for VFA between BIA and QCT in both sex (adjusted R2=0.549 and 0.462). The multivariate regression models were established for the accurate prediction of QCT-VFA using WC and BMI (adjusted R2=0.603). In addition, a strong consistency of VFA measurement was found between BIA and QCT.Conclusion: Body composition parameters could be accurately determined in clinic using simple measurements of BIA. WC is more reliable as a predictor of visceral fat in the metabolic syndrome. Being non-invasive, accurate and free of radiation, BIA can be used as a safe and convenient tool in scientific research and clinical practice for the quick measurement of anthropometric parameters.

Measurement of total and visceral fat mass in young adult women: a comparison of MRI with anthropometric measurements with and without bioelectrical impedance analysis

2020 ◽  
Vol 93 (1110) ◽  
pp. 20190874
Author(s):  
Matthias F. Froelich ◽  
Marina Fugmann ◽  
Charlotte Lütke Daldrup ◽  
Holger Hetterich ◽  
Eva Coppenrath ◽  
...  
Keyword(s):  
Linear Regression ◽  
Predictive Value ◽  
Regression Models ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Anthropometric Measurements ◽  
Linear Regression Models ◽  
Multivariable Model ◽  
Hip Circumference

Objective: MRI is established for measurement of body fat mass (FM) and abdominal visceral adipose tissue (VAT). Anthropometric measurements and bioelectrical impedance analysis (BIA) have been proposed as surrogates to estimation by MRI. Aim of this work is to assess the predictive value of these methods for FM and VAT measured by MRI. Methods: Patients were selected from cohort study PPS-Diab (prediction, prevention and subclassification of Type 2 diabetes). Total FM and VAT were quantified by MRI and BIA together with clinical variables like age, waist and hip circumference and height. Least-angle regressions were utilized to select anthropometric and BIA parameters for their use in multivariable linear regression models to predict total FM and VAT. Bland–Altman plots, Pearson correlation coefficients, Wilcoxon signed-rank tests and univariate linear regression models were applied. Results: 116 females with 35 ± 3 years and a body mass index of 25.1 ± 5.3 kg/m2 were included into the analysis. A multivariable model revealed weight (β = 0.516, p < 0.001), height (β = −0.223, p < 0.001) and hip circumference (β = 0.156, p = 0.003) as significantly associated with total FM measured by MRI. A additional multivariable model also showed a significant predictive value of FMBIA (β = 0.583, p < 0.001) for FM. In addition, waist circumference (β = 0.054, p < 0.001), weight (β = 0.016, p = 0.031) in one model and FMBIA (β = 0.026, p = 0.018) in another model were significantly associated with VAT quantified by MRI. However, deviations reached more than 5 kg for total FM and more than 1 kg for VAT. Conclusion: Anthropometric measurements and BIA show significant association with total FM and VAT. Advances in knowledge: As these measurements show significant deviations from the absolute measured values determined by MRI, MRI should be considered the gold-standard for quantification.

scholarly journals Hand-to-Hand Model for Bioelectrical Impedance Analysis to Estimate Fat Free Mass in a Healthy Population

Nutrients ◽  
2016 ◽  
Vol 8 (10) ◽  
pp. 654 ◽  
Author(s):  
Hsueh-Kuan Lu ◽  
Li-Ming Chiang ◽  
Yu-Yawn Chen ◽  
Chih-Lin Chuang ◽  
Kuen-Tsann Chen ◽  
...  
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Healthy Population ◽  
Hand Model

scholarly journals Use of bioelectrical impedance analysis to monitor changes in fat-free mass during recovery from colorectal cancer– a validation study

2020 ◽  
Vol 40 ◽  
pp. 201-207
Author(s):  
Linnea Bärebring ◽  
Ane Sørlie Kværner ◽  
Madeleine Skotnes ◽  
Hege Berg Henriksen ◽  
Anne Juul Skjetne ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Validation Study ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass

scholarly journals Development of bioelectrical impedance analysis-based equations for estimation of body composition in postpartum rural Bangladeshi women

2012 ◽  
Vol 109 (4) ◽  
pp. 639-647 ◽  
Author(s):  
Saijuddin Shaikh ◽  
Kerry J. Schulze ◽  
Anura Kurpad ◽  
Hasmot Ali ◽  
Abu Ahmed Shamim ◽  
...  
Keyword(s):  
Body Composition ◽  
South Asia ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Reproductive Age ◽  
Single Frequency ◽  
Women Of Reproductive Age ◽  
Rural South

Equations for predicting body composition from bioelectrical impedance analysis (BIA) parameters are age-, sex- and population-specific. Currently there are no equations applicable to women of reproductive age in rural South Asia. Hence, we developed equations for estimating total body water (TBW), fat-free mass (FFM) and fat mass in rural Bangladeshi women using BIA, with 2H2O dilution as the criterion method. Women of reproductive age, participating in a community-based placebo-controlled trial of vitamin A or β-carotene supplementation, were enrolled at 19·7 (sd 9·3) weeks postpartum in a study to measure body composition by 2H2O dilution and impedance at 50 kHz using multi-frequency BIA (n 147), and resistance at 50 kHz using single-frequency BIA (n 82). TBW (kg) by 2H2O dilution was used to derive prediction equations for body composition from BIA measures. The prediction equation was applied to resistance measures obtained at 13 weeks postpartum in a larger population of postpartum women (n 1020). TBW, FFM and fat were 22·6 (sd 2·7), 30·9 (sd 3·7) and 10·2 (sd 3·8) kg by 2H2O dilution. Height2/impedance or height2/resistance and weight provided the best estimate of TBW, with adjusted R2 0·78 and 0·76, and with paired absolute differences in TBW of 0·02 (sd 1·33) and 0·00 (sd 1·28) kg, respectively, between BIA and 2H2O. In the larger sample, values for TBW, FFM and fat were 23·8, 32·5 and 10·3 kg, respectively. BIA can be an important tool for assessing body composition in women of reproductive age in rural South Asia where poor maternal nutrition is common.

scholarly journals Bioelectrical Impedance Analysis Overestimates Fat‐Free Mass in Breast Cancer Patients Undergoing Treatment

2019 ◽  
Vol 35 (6) ◽  
pp. 1029-1040
Author(s):  
Kirsten Elizabeth Bell ◽  
Schuyler Schmidt ◽  
Amanda Pfeiffer ◽  
Lisa Bos ◽  
Carrie Earthman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Breast Cancer Patients
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