Comparison between whole-body and segmental bioelectrical impedance for body composition

2021 ◽  
Vol 46 ◽  
pp. S603
Author(s):  
N.T. Bellafronte ◽  
L. Vega-Piris ◽  
G.B. Cuadrado ◽  
P.G. Chiarello
Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4825 ◽  
Author(s):  
Thomas Cannon ◽  
JungHun Choi

Whole-body bioelectrical impedance analysis for measuring body composition has been well-explored but may not be sensitive enough to changes in the trunk compared to changes in the limbs. Measuring individual body segments can address this issue. A segmental bioelectrical impedance spectroscopy device (SBISD) was designed for body composition measurement and a prototype was implemented. Compensation was performed to adjust the measured values to correct for a phase difference at high frequencies and to counteract the hook effect when measuring the human body. The SBISD was used to measure five subjects and was compared against three existing analyzers. For most segmental measurements, the SBISD was within 10% of the R0 and R∞ values determined with a Bodystat Multiscan 5000 and an Impedimed SFB7. The impedance values from the third reference device, a Seca 514, differed significantly due to its eight-electrode measuring technique, meaning impedance measurements could not be compared directly.


2010 ◽  
Vol 104 (10) ◽  
pp. 1508-1513 ◽  
Author(s):  
Ana V. B. Margutti ◽  
Jacqueline P. Monteiro ◽  
José S. Camelo

Bioelectrical impedance vector analysis (BIVA) is a new method that is used for the routine monitoring of the variation in body fluids and nutritional status with assumptions regarding body composition values. The aim of the present study was to determine bivariate tolerance intervals of the whole-body impedance vector and to describe phase angle (PA) values for healthy term newborns aged 7–28 d. This descriptive cross-sectional study was conducted on healthy term neonates born at a low-risk public maternity. General and anthropometric neonatal data and bioelectrical impedance data (800 μA–50 kHz) were obtained. Bivariate vector analysis was conducted with the resistance–reactance (RXc) graph method. The BIVA software was used to construct the graphs. The study was conducted on 109 neonates (52·3 % females) who were born at term, adequate for gestational age, exclusively breast-fed and aged 13 (sd 3·6) d. We constructed one standard, reference, RXc-score graph and RXc-tolerance ellipses (50, 75 and 95 %) that can be used with any analyser. Mean PA was 3·14 (sd 0·43)° (3·12 (sd 0·39)° for males and 3·17 (sd 0·48)° for females). Considering the overlapping of ellipses of males and females with the general distribution, a graph for newborns aged 7–28 d with the same reference tolerance ellipse was defined for boys and girls. The results differ from those reported in the literature probably, in part, due to the ethnic differences in body composition. BIVA and PA permit an assessment without the need to know body weight and the prediction error of conventional impedance formulas.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Natália Tomborelli Bellafronte ◽  
Lorena Vega-Piris ◽  
Paula Garcia Chiarello ◽  
Guillermina Barril Cuadrado

Abstract Background and Aims Chronic kidney disease (CKD) patients frequently have an altered body composition driven by metabolic disorders from the uremic syndrome that usually leads to increased protein catabolism, with obesity and muscle impairment being common conditions associated with worse clinical prognosis and high mortality rates. Therefore, with increased mortality and disability rates of CKD patients in the last quarter of a century and the association of a poor body composition with low survival, routine and longitudinal assessment of body composition could improve clinical outcomes. Due to limited availability of reference methods to assess nutritional status, alternative methods are used. In view of the above, our goal was to evaluate the agreement between multifrequency bioelectrical impedance spectroscopy (BIS) and Dual-energy X-ray Absorptiometry (DXA) for assessment of body composition in CKD. Method Cross-sectional and prospective analyses by DXA (Hologic, GE®) and BIS (BCM, Fresenius Medical Care®) in whole-body (BISWB) and segmental (BISSEG) protocols were performed in CKD non-dialysis-dependent, hemodialysis and peritoneal dialysis (for at least 3 months), and renal transplantation (for at least 6 months) adult (18 ≤ age ≤ 60 years old) patients. Measurements were performed consecutively by the same professional after an 8-hour fast, drainage of the peritoneal dialysate and just after the midweek hemodialysis session. Intraclass correlation coefficient (ICC) and Bland-Altman plots were evaluated for agreement analysis in group and individual levels, respectively; linear regression analysis was performed for bias assessment and development of new equations; ROC curve was constructed for diagnosis of inadequate error tolerance (DXA - BIS > ± 2kg). Results A total of 266 patients were included: 137 men (M) and 129 women (W); 81 were in non-dialysis-dependent treatment, 83 in hemodialysis, 24 in peritoneal dialysis, and 80 had renal transplantation. Total sample had a mean age of 47 ± 10 years old. CKD was secondary to systemic arterial hypertension in 29% of the total sample, to glomerulonephritis in 25%, to diabetes mellitus in 10%, to polycystic kidney in 7%, to glomerulosclerosis and systemic syndromes in 8%, and to other causes and unknown etiology in 20%. Fourteen patients (4 M and 10 W) were in automated and 9 (4 M and 5 W) in continuous ambulatory PD. KTx was by living donor in 18 (14 M and 4 W) and by deceased donor in 63 (34 M and 29 W) patients. The agreement with DXA was greater for BISWB than BISSEG; for fat mass (FM) (ICC in M = 0.89; ICC in W = 0.93) than for fat free mass (FFM) (ICC in M = 0.57; ICC in W = 0.52). Bland-Altman plots showed high limits of agreement (FFM: from -9.51 to 15.64kg; FM: from -7.71 to 7.32kg) with greater bias for FFM as muscular mass increases and for FM in extremes of body fat. The agreement was lower when using the prospective data (body change analysis) (ICC for FFM in M = 0.20; ICC for FFM in W = 0.49; ICC for FM in M = 0.46; ICC for FM in W = 0.58). The factors that interfered in bias between methods were extra to intracellular water ratio (ECW/ICW), body mass index, fat mass index, waist circumference, resistance and reactance (adjusted r2 for FFM = 0.90; r2 for FM = 0.87). FFM had poorer agreement in the last tertile of ECW/ICW sample (ICC in M = 0.69, 0.68 and 0.51; ICC in W = 0.71, 0.74 and 0.38 for first, second and third tertiles, respectively). An ECW/ICW cut-off point of > 0.725 for inadequate error tolerance was determined. New prediction equations for FFM (r2 = 0.91) and FM (r2 = 0.89) presented adequate error tolerance in 55% and 63% in the validation sample compared to 30% and 39% of the original equation, respectively. Conclusion For body composition evaluation in CKD, BIS applied using the whole-body protocol, in normal hydration CKD patients is as reliable as DXA; BIS must be used with caution among overhydrated patients with ECW/ICW > 0.725. The newly developed equations are indicated for greater precision.


1997 ◽  
Vol 136 (5) ◽  
pp. 493-498 ◽  
Author(s):  
Thomas Seppel ◽  
Andrea Kosel ◽  
Reiner Schlaghecke

Abstract To assess the metabolic effects of thyroid disease, body composition was determined by bioimpedance analysis (BIA) in 72 patients with untreated hyperthyroidism (mean age 48·7±1·9 years) and 26 patients with untreated hypothyroidism (63·8±3·4 years). Bioelectrical whole body resistance (R) and reactance (Xc) were used for computerized calculation of lean body mass (LBM), body cell mass (BCM), extracellular mass (ECM) and body fat (BF). Compared with age- and sex-matched healthy controls the most sensitive parameter indicating excess thyroid hormone was the ECM/BCM ratio which was markedly elevated in all hyperthyroid subjects. ECM/BCM alteration resulted from marked depletion of BCM with concomitant expansion of ECM. BCM change is thought to be predominantly due to a loss of muscle mass while ECM rise may reflect an increase in extracellular fluids. In contrast, hypothyroidism was characterized by an increase in BF besides a relatively unaffected LBM component. Serum parameters of thyroid function (tri-iodothyronine (T3), free thyroxine, TSH) did not correlate with the determinants of body composition except for a slight inverse relationship between the phase angle (Xc/R×180°/π) and T3 concentration in Graves' disease patients. We conclude that hyperthyroidism is primarily accompanied by quantitative as well as qualitative changes in the lean body while considerable fat increase is the most important feature of hypothyroidism. Severity of body composition derangement cannot be predicted from the degree of thyroid dysfunction. BIA could become a useful tool which allows objective determination of even subtle metabolic manifestations of thyroid disease and should, therefore, complement conventional clinical and biochemical assessment. European Journal of Endocrinology 136 493–498


2017 ◽  
Vol 42 (2) ◽  
pp. 157-165 ◽  
Author(s):  
Megumi Ohta ◽  
Taishi Midorikawa ◽  
Yuki Hikihara ◽  
Yoshihisa Masuo ◽  
Shizuo Sakamoto ◽  
...  

This study examined the validity of segmental bioelectrical impedance (BI) analysis for predicting the fat-free masses (FFMs) of whole-body and body segments in children including overweight individuals. The FFM and impedance (Z) values of arms, trunk, legs, and whole body were determined using a dual-energy X-ray absorptiometry and segmental BI analyses, respectively, in 149 boys and girls aged 6 to 12 years, who were divided into model-development (n = 74), cross-validation (n = 35), and overweight (n = 40) groups. Simple regression analysis was applied to (length)2/Z (BI index) for each of the whole-body and 3 segments to develop the prediction equations of the measured FFM of the related body part. In the model-development group, the BI index of each of the 3 segments and whole body was significantly correlated to the measured FFM (R2 = 0.867–0.932, standard error of estimation = 0.18–1.44 kg (5.9%–8.7%)). There was no significant difference between the measured and predicted FFM values without systematic error. The application of each equation derived in the model-development group to the cross-validation and overweight groups did not produce significant differences between the measured and predicted FFM values and systematic errors, with an exception that the arm FFM in the overweight group was overestimated. Segmental bioelectrical impedance analysis is useful for predicting the FFM of each of whole-body and body segments in children including overweight individuals, although the application for estimating arm FFM in overweight individuals requires a certain modification.


Nutrition ◽  
2008 ◽  
Vol 24 (6) ◽  
pp. 569-574 ◽  
Author(s):  
Marta Codognotto ◽  
Michele Piazza ◽  
Paolo Frigatti ◽  
Antonio Piccoli

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