scholarly journals A critical evaluation of bioimpedance spectroscopy analysis in estimating body composition during GH treatment: comparison with bromide dilution and dual X-ray absorptiometry

2015 ◽  
Vol 172 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Vita Birzniece ◽  
Chong-Hui Khaw ◽  
Anne E Nelson ◽  
Udo Meinhardt ◽  
Ken K Y Ho
Keyword(s):  
Body Composition ◽  
Critical Evaluation ◽  
Fat Free Mass ◽  
Controlled Study ◽  
Composition Analysis ◽  
Bioimpedance Spectroscopy ◽  
Spectroscopy Analysis ◽  
X Ray ◽  
Treatment Comparison ◽  
Water Compartments

ObjectiveTo compare estimates by bioimpedance spectroscopy analysis (BIS) of extracellular water (ECW), fat mass (FM), and fat-free mass (FFM) against standard techniques of bromide dilution and dual energy X-ray absorptiometry (DXA) during intervention that causes significant changes in water compartments and body composition.MethodsBody composition analysis using BIS, bromide dilution, and DXA was performed in 71 healthy recreational athletes (43 men, 28 women; aged 18–40 years; BMI 24±0.4 kg/m2) who participated in a double-blinded, randomized, placebo-controlled study of GH and testosterone treatment. The comparison of BIS with bromide dilution and DXA was analyzed using linear regression and the Bland–Altman method.ResultsAt baseline, there was a significant correlation between BIS and bromide dilution-derived estimates for ECW, and DXA for FM and FFM (P<0.001). ECW by BIS was 3.5±8.1% lower compared with bromide dilution, while FM was 22.4±26.8% lower and FFM 13.7±7.5% higher compared with DXA (P<0.01). During treatment, the change in ECW was similar between BIS and bromide dilution, whereas BIS gave a significantly greater reduction in FM (19.4±44.8%) and a greater increase in FFM (5.6±3.0%) compared with DXA (P<0.01). Significant differences in body composition estimates between the BIS and DXA were observed only in men, particularly during the treatment that caused greatest change in water compartments and body composition.ConclusionIn healthy adults, bioimpedance spectroscopy is an acceptable tool for measuring ECW; however, BIS overestimates FFM and substantially underestimates FM compared with DXA.

Techniques For Assessment Of Body Composition In Health

2018 ◽  
Author(s):  
Carla M Prado ◽  
Camila LP Oliveira ◽  
M Cristina Gonzalez ◽  
Steven B Heymsfield
Keyword(s):  
Body Composition ◽  
Nutritional Status ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Dual Energy ◽  
Composition Analysis ◽  
Body Composition Assessment ◽  
Air Displacement Plethysmography ◽  
X Ray

Body composition assessment is an important tool in both clinical and research settings able to characterize the nutritional status of individuals in various physiologic and pathologic conditions. Health care professionals can use the information acquired by body composition analysis for the prevention and treatment of diseases, ultimately improving health status. Here we describe commonly used techniques to assess body composition in healthy individuals, including dual-energy x-ray absorptiometry, bioelectrical impedance analysis, air displacement plethysmography, and ultrasonography. Understanding the key underlying concept(s) of each assessment method, as well as its advantages and limitations, facilitates selection of the method of choice and the method of the compartment of interest. This review contains 5 figures, 3 tables and 52 references Key words: air displacement plethysmography, bioelectrical impedance analysis, body composition, disease, dual-energy x-ray absorptiometry, health, muscle mass, nutritional status, obesity, sarcopenia, ultrasound fat mass

scholarly journals A specific bioelectrical impedance equation to predict body composition in Turner's syndrome

2010 ◽  
Vol 54 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Alexis D. Guedes ◽  
Bianca Bianco ◽  
Mônica V. N. Lipay ◽  
Emmanuela Q. Callou ◽  
Marise L. Castro ◽  
...  
Keyword(s):  
Body Composition ◽  
Linear Regression Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
X Ray ◽  
Great Consistency ◽  
Total Fat ◽  
Specific Equation ◽  
Standard Error Estimate

INTRODUCTION: Cardiovascular disease is one of the main causes for Turner syndrome (TS) mortality and the evaluation of its risk factors such as excess body fat and its distribution is considered one of the major aspects of the adult patient care. OBJECTIVE: To develop and validate a specific bioelectrical impedance analysis (BIA) equation to predict body composition in TS patients. SUBJECTS AND METHODS: Clinical and anthropometric data, dual-energy X-ray absorptiometry (DXA) for total fat-free mass (FFM) and BIA for resistance and reactance were obtained from 50 adult TS patients. Linear regression analysis was performed with multiple clinical and BIA data to obtain a predicting equation. RESULTS: The equation developed to estimate FFM in adult TS patients showed great consistency with DXA, elevated correlation (r = 0. 974) and determination (r² = 0. 948) coefficients and an adequate standard error estimate (SEE = 1.52 kg). CONCLUSIONS: The specific equation developed here allowed making an adequate FFM estimate in adult TS patients.

scholarly journals Comparisons of two-, three-, and four-compartment models of body composition analysis in men and women

1998 ◽  
Vol 85 (1) ◽  
pp. 238-245 ◽  
Author(s):  
R. T. Withers ◽  
J. LaForgia ◽  
R. K. Pillans ◽  
N. J. Shipp ◽  
B. E. Chatterton ◽  
...  
Keyword(s):  
Body Composition ◽  
Compartment Model ◽  
Dry Mass ◽  
Fat Free Mass ◽  
Composition Analysis ◽  
Compartment Models ◽  
Bone Mineral Mass ◽  
Body Composition Measurement ◽  
Composition Measurement ◽  
Total Body

This study compared the traditional two-compartment (fat mass or FM; fat free mass or FFM) hydrodensitometric method of body composition measurement, which is based on body density, with three (FM, total body water or TBW, fat free dry mass)- and four (FM, TBW, bone mineral mass or BMM, residual)-compartment models in highly trained men ( n = 12), sedentary men ( n = 12), highly trained women ( n = 12), and sedentary women ( n = 12). The means and variances for the relative body fat (%BF) differences between the two- and three-compartment models [2.2 ± 1.6 (SD) % BF; n = 48] were significantly greater ( P ≤ 0.02) than those between the three- and four-compartment models (0.2 ± 0.3% BF; n = 48) for all four groups. The three-compartment model is more valid than the two-compartment hydrodensitometric model because it controls for biological variability in TBW, but additional control for interindividual variability in BMM via the four-compartment model achieves little extra accuracy. The combined group ( n = 48) exhibited greater ( P < 0.001) FFM densities (1.1075 ± 0.0049 g/cm3) than the hydrodensitometric assumption of 1.1000 g/cm3, which is based on analyses of three male cadavers aged 25, 35, and 46 yr. This was primarily because their FFM hydration (72.4 ± 1.1%; n = 48) was lower ( P ≤ 0.001) than the hydrodensitometric assumption of 73.72%.

scholarly journals Serum levels of 25 (OH) vitamin D in adults with obesity sarcopenia

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Maria Nikolova ◽  
Alexander Penkov
Keyword(s):  
Vitamin D ◽  
Body Composition ◽  
Fat Mass ◽  
Lean Mass ◽  
Fat Free Mass ◽  
Whole Body ◽  
Composition Analysis ◽  
Appendicular Lean Mass ◽  
Vitamin D Levels ◽  
25 Oh Vitamin D

AbstractIntroduction:Obesity has been linked with vitamin D deficiency in a number of cross-sectional studies, reviews and meta-analyses. To assess the correlations of plasma 25(OH) vitamin D levels with indices of body composition examined by DXA with an emphasis on lean and bone mass as well as on indices such as android/gynoid fat, appendicular lean mass (ALM) and appendicular lean mass index (ALMI), fat-mass indexes (FMI), fat-free mass indexes (FFMI) and the ALM-to-BMI index.Materials and Methods:62 adult subjects consented to participate – 27 men (43.5 %) and 35 women (56.5 %). Their mean age was 45.3 ± 9.5 years. Fan-beam dual-energy X-ray (DXA) body composition analysis was performed on a Lunar Prodigy Pro bone densitometer with software version 12.30. Vitamin D was measured by electro-hemi-luminescent detection as 25(OH)D Total (ECLIA, Elecsys 2010 analyzer, Roche Diagnostics). Statistical analyses were done using the SPSS 23.0 statistical package.Results:The serum 25(OH)D level was correlated significantly only to the whole body bone mineral content, the appendicular lean mass index (ALMI) and the ALM-to-BMI index, underlining a predominant role for lean and fat-free mass. Vitamin D showed a very weak correlation to % Body Fat and the Fat Mass Index (FMI) in men only. Moreover, the multiple regression equation including the associated parameters could explain only 7 % of the variation in the serum 25(OH)D levels.Discussion:Our conclusion was, that there are differences in the associations of the vitamin D levels with the different body composition indices, but these associations are generally very weak and therefore – negligible.

Body composition analysis of inter-county Gaelic athletic association players measured by dual energy X-ray absorptiometry

2015 ◽  
Vol 34 (11) ◽  
pp. 1015-1020 ◽  
Author(s):  
Robert W. Davies ◽  
Clodagh Toomey ◽  
William McCormack ◽  
Katie Hughes ◽  
Alexandra Cremona ◽  
...  
Keyword(s):  
Body Composition ◽  
Dual Energy ◽  
Composition Analysis ◽  
X Ray ◽  
Body Composition Analysis

Reliability and validity of body composition measures in female athletes

1999 ◽  
Vol 87 (3) ◽  
pp. 1114-1122 ◽  
Author(s):  
Willa C. Fornetti ◽  
James M. Pivarnik ◽  
Jeanne M. Foley ◽  
Justus J. Fiechtner
Keyword(s):  
Body Composition ◽  
Near Infrared ◽  
Female Athletes ◽  
Reliability And Validity ◽  
Bioelectrical Impedance ◽  
Single Equation ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Prediction Errors ◽  
X Ray

The purpose of this investigation was to determine the reliability and validity of bioelectrical impedance (BIA) and near-infrared interactance (NIR) for estimating body composition in female athletes. Dual-energy X-ray absorptiometry was used as the criterion measure for fat-free mass (FFM). Studies were performed in 132 athletes [age = 20.4 ± 1.5 (SD) yr]. Intraclass reliabilities (repeat and single trial) were 0.987–0.997 for BIA (resistance and reactance) and 0.957–0.980 for NIR (optical densities). Validity of BIA and NIR was assessed by double cross-validation. Because correlations were high ( r = 0.969–0.983) and prediction errors low, a single equation was developed by using all 132 subjects for both BIA and NIR. Also, an equation was developed for all subjects by using height and weight only. Results from dual-energy X-ray absorptiometry analysis showed FFM = 49.5 ± 6.0 kg, which corresponded to %body fat (%BF) of 20.4 ± 3.1%. BIA predicted FFM at 49.4 ± 5.9 kg ( r = 0.981, SEE = 1.1), and NIR prediction was 49.5 ± 5.8 kg ( r = 0.975, SEE = 1.2). Height and weight alone predicted FFM at 49.4 ± 5.7 kg ( r = 0.961, SEE = 1.6). When converted to %BF, prediction errors were ∼1.8% for BIA and NIR and 2.9% for height and weight. Results showed BIA and NIR to be extremely reliable and valid techniques for estimating body composition in college-age female athletes.

scholarly journals Evaluation of Body Composition in Hemodialysis Thai Patients: Comparison between Two Models of Bioelectrical Impedance Analyzer and Dual-Energy X-Ray Absorptiometry

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Kulapong Jayanama ◽  
Supanee Putadechakun ◽  
Praopilad Srisuwarn ◽  
Sakda Arj-Ong Vallibhakara ◽  
Prapimporn Chattranukulchai Shantavasinkul ◽  
...  
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Hemodialysis Patients ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Maintenance Hemodialysis ◽  
Cross Sectional ◽  
X Ray ◽  
Inbody 720

Background. Body composition measurement is very important for early nutritional care in hemodialysis patients. Dual-energy X-ray absorptiometry (DXA) is a gold standard test, but clinically limited. Bioelectrical impedance analysis (BIA) with multifrequency technique is a practical and reliable tool. Objective. This cross-sectional study was aimed to compare the agreement of BIA with DXA in measurement of body composition in hemodialysis patients and to evaluate their associated factors. Methods. Body composition was measured by 2 BIA methods (InBody S10 and InBody 720) and DXA after a hemodialysis session. A total of 69 measurements were included. Pearson’s correlation and Bland and Altman analysis were used to determine the correlation of body composition between methods and to compare the methods agreement, respectively. Results. The correlation coefficients of body compositions were strong between DXA and InBody S10 (fat mass index (FMI): r=0.95, fat-free mass index (FFMI): r=0.78) and also between DXA and InBody 720 (FMI: r=0.96, FFMI: r=0.81). Comparing to DXA, the means of each body composition measured by InBody S10 method were not significantly different in each gender, but differences were found in FM, %FM, and FMI measured by InBody 720. Conclusions. In maintenance hemodialysis patients, the measurement of body composition with DXA and both BIA methods had highly significant correlations; practically, BIA method could be used as an instrument to follow FM and FFM and to measure the edematous stage. Further studies with large populations are warranted.

Four-component model for the assessment of body composition in humans: comparison with alternative methods, and evaluation of the density and hydration of fat-free mass

1992 ◽  
Vol 82 (6) ◽  
pp. 687-693 ◽  
Author(s):  
N. J. Fuller ◽  
S. A. Jebb ◽  
M. A. Laskey ◽  
W. A. Coward ◽  
M. Elia
Keyword(s):  
Body Composition ◽  
Skinfold Thickness ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Component Model ◽  
Alternative Methods ◽  
X Ray ◽  
Four Component Model ◽  
Deuterium Dilution ◽  
Component Models

1. Body composition was assessed in 28 healthy subjects (body mass index 20–28 kg/m2) by dual-energy X-ray absorptiometry, deuterium dilution, densitometry, 40K counting and four prediction methods (skinfold thickness, bioelectrical impedance, near-i.r. interactance and body mass index). Three- and four-component models of body composition were constructed from combinations of the reference methods. The results of all methods were compared. Precision was evaluated by analysis of propagation of errors. The density and hydration fraction of the fat-free mass were determined. 2. From the precision of the basic measurements, the propagation of errors for the estimation of fat (± sd) by the four-component model was found to be ± 0.54 kg, by the three-component model, ± 0.49 kg, by deuterium dilution, ± 0.62 kg, and by densitometry, ± 0.78 kg. Precision for the measurement of the density and hydration fraction of fat-free mass was ± 0.0020 kg/l and ± 0.0066, respectively. 3. The agreement between reference methods was generally better than between reference and alternative methods. Dual-energy X-ray absoptiometry predicted three- and four-component model body composition slightly less well than densitometry or deuterium dilution (both of which greatly influence these multi-component models). 4. The hydration fraction of fat-free mass was calculated to be 0.7382 ± 0.0213 (range 0.6941–0.7837) and the density of fat-free mass was 1.1015 ± 0.0073 kg/1 (range 1.0795–1.1110 kg/1), with no significant difference between men and women for either. 5. The results suggest that the three- and four-component models are not compromised by errors arising from individual techniques. Dual-energy X-ray absorptiometry would appear to be a suitable alternative method for the assessment of body composition in these healthy adults. The traditional mean value assumed for density of the fat-free mass in classic densitometry (1.1 kg/l) appears to be appropriate, and the mean hydration fraction was close to values which are generally applied to the fat-free mass (0.72–0.73). Despite concealing considerable inter-individual variation, these mean values may be applied to groups with characteristics similar to those in this study. Finally, with the notable exception of skinfold thickness, bedside prediction methods show poor agreement with both the three- and the four-component models.

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