Bioelectrical impedance analysis for body mass composition assessment

Leczenie Ran ◽  
2005 ◽  
Vol 1 (2) ◽  
pp. 65-70
Author(s):  
KATARZYNA OLSZEWSKA
Keyword(s):  
Body Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Mass Composition ◽  
Body Mass Composition

scholarly journals Perbandingan Penghitungan Massa Tubuh Dengan Menggunakan Metode Indeks Massa Tubuh (IMT) dan Bioelectrical Impedance Analysis (BIA)

2020 ◽  
Vol 6 (1) ◽  
pp. 43
Author(s):  
Yonathan Wiranata ◽  
Inayatul Inayah
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Pearson Correlation ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Mass Composition ◽  
Body Fat Mass ◽  
Body Mass Composition

Anthropometric is a method of body mass composition calculation resulting either roughly or directly (detail). BMI is an anthropometric method performed by measuring body weight and height to classify one’s body mass index. BIA is an anthropometric methods used to asses body mass composition, including water mass, musculoskeletal, and mainly body fat mass. The purpose of this study isto find the relationship between the two methods of anthropometry and see the comparasion of body mass composition resulted by the two methods. Study design with descriptive analytics with cross sectional approach, the sampling technique use quota sampling, 41 respondents. Data analysis with analysis of Pearson correlation test (significance level α = 0.05, p – value < α). Results of a normal BMI of 25 respondents (61%), the results of normal BIA 29 respondents (71%) and fat mass between (from 11.00 to 37.30, the average 24.05). obtained a result of a positive relationship between BMI with the composition of body fat (r = 0.708, p <0.000). With it was found that BMI and body fat composition has a significant relationship (p <0.000). It can be cloncuded BMI has strong correlation with body fat mass that were measured by using the BIA method resulted from PSIK student at the University of Muhammadiyah Malang. BIA method is no better than BMI method as a parameter to determine body mass composition.Kata Kunci:  Indeks Massa Tubuh, Bioelectrical Impedance Analysis, Komposisi Tubuh.

Appendicular Lean Body Mass: Prediction by Bioelectrical Impedance Analysis

2006 ◽  
Vol 904 (1) ◽  
pp. 218-220 ◽  
Author(s):  
A. TAGLIABUE ◽  
A. ANDREOLI ◽  
S. BERTOLI ◽  
E. PAGLIATO ◽  
M. COMELLI ◽  
...  
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis

scholarly journals Role of Body Bioelectrical Impedance Analysis in the Assessment of the Nutritional Status of Patients with Inflammatory Bowel Disease and Metabolic Syndrome

2012 ◽  
Vol 66 (3) ◽  
pp. 125-127
Author(s):  
Edgars Bodnieks ◽  
Aldis Puķītis ◽  
Juris Pokrotnieks
Keyword(s):  
Metabolic Syndrome ◽  
Inflammatory Bowel Disease ◽  
Body Composition ◽  
Nutritional Status ◽  
Body Mass ◽  
Bowel Disease ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Inflammatory Bowel

Abstract Nutrition has an important role in the management of inflammatory bowel disease (IBD) and metabolic syndrome (MS). The goal of this study was to assess the nutritive status of patients treated with IBD and metabolic syndrome in the Gastroenterology Centre, Pauls Stradiòð Clinical University Hospital. Body bioelectrical impedance analysis (BIA) using GENIUS 220 PLUS (Jawon Medical) was used to determine Body Mass Index (BMI) kg/m², Metabolic Body Fat (MBF) kg, Soft Lean Mass (SLM) kg, Total Body Water (TBW) kg, body composition, metabolic type, Basal Metabolic Rate (BMR) kcal, and total Energy Expenditure (TEE) kcal in patients with IBD and metabolic syndrome and in a similarly aged control group. The obtained data showed that BMI was not correlated with MBF, BTW and Lean Body Mass (LBM). Patients with Crohn’s disease (CD) had normal value of BMI (M 24.3 kg/m²; F 20.2kg/m²), but we found variety-specific differences in body composition that confirmed deficiency or increase of specific body parameters. The performed prospective study confirmed the importance of the more precise nutritional status analysis, as it was clinically useful for the nutritional management of IBD. Patients with CD had expressed nutrient deficiency, sarcopenia, and reduced amount of proteins and minerals. For patients with MS, sarcopenia was present despite obesity.

scholarly journals Prospective metrological validation of multifrequency bioelectrical impedance analysis against volumetric imaging to identify sarcopenia in head and neck cancer patients undergoing radiation therapy

2019 ◽  
Author(s):  
Aaron J. Grossberg ◽  
Crosby D. Rock ◽  
Jared Edwards ◽  
Abdallah S.R. Mohamed ◽  
Debra Ruzensky ◽  
...  
Keyword(s):  
Body Composition ◽  
Radiation Therapy ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Cancer Patients ◽  
Body Mass ◽  
Neck Cancer ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis

AbstractImportanceDepleted skeletal muscle mass (sarcopenia) is associated with decreased survival and cancer control in head and neck cancer patients treated with radiotherapy. There is a need for validated measures of body composition that can be implemented in routine clinical workflow.ObjectiveTo validate the use of bioelectrical impedance analysis (BIA) for body composition analysis and diagnosis of sarcopenia in head and neck cancer patients.DesignIn this prospective observational cohort study, baseline 50 patients with head and neck cancer undergoing radiation therapy (RT) were enrolled between February 2016 and March 2017. Baseline BIA measures of skeletal muscle (SM) mass, fat-free mass (FMM), and fat mass (FM) were compared to CT-based estimates of body composition using linear regression. Sex-specific BIA-derived thresholds for sarcopenia were defined by the maximum Youden Index on receiver operator characteristic (ROC) curves of BIA against CT-defined sarcopenia. Changes in body composition across treatment were compared against changes in body weight using linear regression.ParticipantsIn total, 50 patients with pathologically confirmed stage I to IVB non-metastatic head and neck cancer treated with definitive radiation therapy were enrolled.SettingSingle academic referral center.Main Outcome and MeasureThe primary outcome was relative agreement between baseline lean body mass and fat body mass predicted from BIA measurement and CT imaging.ResultsOf the 48 evaluable patients 16 (33.3%) were sarcopenic at baseline based on CT analysis. BIA measures of body composition were strongly correlated with CT measures: SM mass (r = 0.97; R2 = 0.94; p < 0.0001), FFM (r = 0.97; R2 = 0.94; p < 0.0001) and FM (r = 0.95; R2 = 0.90; p < 0.0001). Relationship with normalized indices of SM mass, FFM, and FM was similar between BIA and CT, but not BIA and body mass index (BMI). Patients lost a mean of 5.7 ± 5.8 kg during treatment, of which 1.5 ± 1.9 kg was SM, 2.6 ± 3.3 kg was FFM, and 2.2 ± 2.6 kg was FM. Eight additional patients developed sarcopenia by the end of RT.ConclusionsBIA provides accurate estimates of body composition in head and neck cancer patients. Implementation of BIA in clinical practice may identify patients with sarcopenia.Trial RegistrationClinicalTrials.gov identifier: NCT02615275

scholarly journals The Scope of Body Mass Index (BMI) and other body component measurements

2020 ◽  
Vol 68 (1) ◽  
Author(s):  
Viktor Németh
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Bioelectrical Impedance Analysis ◽  
Electrical Impedance ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Measurement Methods ◽  
The Body ◽  
Methods And Techniques ◽  
Body Component

This paper presents and compare the scopes of the body component measurement methods and techniques currently in use. Next to the best known and widespread Adolphe Quetelet's Body Mass Index, ‘New Body Mass Index’ created by Prof. Trfethen. Moreover, it presents and compares the bioelectrical impedance analysis and the Electrical Impedance Myographs methods, too. This article aims to go through one by one the body component measurement methods, and to compare the most important feature of them, for a better understanding of their usability.

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