Body composition prediction equations based on bioelectrical impedance and anthropometric variables for Japanese obese women

Bioelectrical impedance analysis (BIA), a device that analyzes the current conduction differences between the fat and water components is widely used for reasons that include convenience of use, non-invasiveness, safety, and low cost. Dual energy X-ray absorptiometry (DXA) allows for the assessment of total body and regional lean and fat tissues and bone mineral content (BMC). The objective of this study was to compare body composition assessments by BIA and DXA before and after a 6-week herbal diet intervention program in 50 pre-menopausal women [mean ± SD: age 30.58 ± 6.15, body mass index (BMI) 31.72 ± 3.78]. Waist-to-hip ratio (WHR) was measured by BIA and anthropometry. Lean body mass (LBM), body fat (BF), BMC and percent body fat (%BF) were measured by BIA and DXA. Highly significant correlations were observed between BIA and DXA measurements for LBM, BF, BMC and %BF (r = 0.73, 0.93, 0.53, 0.79, respectively) before the intervention. Differences between BIA and DXA measurements were observed in LBM, BF, %BF and BMC before intervention ( p < 0.01) where WHR by BIA was significantly higher compared to anthropometry before ( p < 0.01) and after the intervention ( p < 0.01). BIA underestimated LBM by 1.85 kg and overestimated BF by 2.54 kg compared to DXA before the intervention. Although BIA and DXA showed highly significant correlations for LBM, BF, BMC and %BF before the intervention, they did not produce statistically comparable results in pre-menopausal Korean women and therefore should not be used interchangeably when measuring body composition.

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DEVELOPMENT OF PREDICTION EQUATIONS FOR DETERMINING BODY COMPOSITION FROM BIORESISTANCE IN OBESE WOMEN

Medicine & Science in Sports & Exercise ◽

10.1249/00005768-198004001-00232 ◽

1980 ◽

Vol 21 (Supplement) ◽

pp. S39

Author(s):

M. McCaughey ◽

J. Graves ◽

M. Pollock ◽

R. Boileau ◽

T. Lohman ◽

...

Keyword(s):

Body Composition ◽

Obese Women ◽

Prediction Equations

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Comparison of dual-energy X-ray absorptiometry, air displacement plethysmography and bioelectrical impedance analysis for the assessment of body composition in morbidly obese women

European Journal of Clinical Nutrition ◽

10.1038/ejcn.2013.159 ◽

2013 ◽

Vol 67 (11) ◽

pp. 1129-1132 ◽

Cited By ~ 15

Author(s):

G Bedogni ◽

F Agosti ◽

A De Col ◽

N Marazzi ◽

A Tagliaferri ◽

...

Keyword(s):

Body Composition ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Dual Energy ◽

Morbidly Obese ◽

Obese Women ◽

Air Displacement Plethysmography ◽

X Ray

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MULTI-FREQUENCY BIOELECTRICAL IMPEDANCE METHOD FOR THE ESTIMATION OF BODY COMPOSITION IN JAPANESE OBESE WOMEN

Medicine & Science in Sports & Exercise ◽

10.1097/00005768-199805001-00832 ◽

1998 ◽

Vol 30 (Supplement) ◽

pp. 147

Author(s):

H. K. Kim ◽

K. Tanaka ◽

M. Nishikiori ◽

H. Amagai ◽

T. Nakanishi ◽

...

Keyword(s):

Body Composition ◽

Bioelectrical Impedance ◽

Impedance Method ◽

Obese Women

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Estimation of human body composition by electrical impedance methods: a comparative study

Journal of Applied Physiology ◽

10.1152/jappl.1985.58.5.1565 ◽

1985 ◽

Vol 58 (5) ◽

pp. 1565-1571 ◽

Cited By ~ 229

Author(s):

K. R. Segal ◽

B. Gutin ◽

E. Presta ◽

J. Wang ◽

T. B. Van Itallie

Keyword(s):

Body Composition ◽

Human Body ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Prediction Equations ◽

Uniform Current ◽

Obese Subjects ◽

Total Body ◽

The Relationship ◽

Human Body Composition

This study 1) further validated the relationship between total body electrical conductivity (TOBEC) and densitometrically determined lean body mass (LBMd) and 2) compared with existing body composition techniques (densitometry, total body water, total body potassium, and anthropometry) two new electrical methods for the estimation of LBM: TOBEC, a uniform current induction method, and bioelectrical impedance analysis (BIA), a localized current injection method. In a sample of 75 male and female subjects ranging from 4.9 to 54.9% body fat the correlation between LBMd and LBM predicted from TOBEC by use of a previously developed regression equation was extremely strong (r = 0.962), thus confirming the validity of the TOBEC method. LBM predicted from BIA by use of prediction equations provided with the instrument also correlated with LBMd (r = 0.912) but overestimated LBM compared with LBMd in obese subjects. However, no such systematic error was apparent when new prediction equations derived from this heterogeneous sample of subjects were applied. Thus the TOBEC and BIA methods, which are based on the differing electrical properties of lean tissue and fat and which are convenient, rapid, and safe, correlate well with more cumbersome human body composition techniques.

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Developing an Impedance Based Equation for Fat-Free Mass of Black Preadolescent South African Children

Nutrients ◽

10.3390/nu11092021 ◽

2019 ◽

Vol 11 (9) ◽

pp. 2021

Author(s):

Amanda van Zyl ◽

Zelda White ◽

Johan Ferreira ◽

Friedeburg A. M. Wenhold

Keyword(s):

Body Composition ◽

South African ◽

Bioelectrical Impedance ◽

Fat Free Mass ◽

Prediction Equations ◽

X Ray ◽

Black South African ◽

African Children ◽

New Equation ◽

South African Children

Bioelectrical impedance analysis (BIA) is a practical alternative to dual-energy X-ray absorptiometry (DXA) for determining body composition in children. Currently, there are no population specific equations available for predicting fat-free mass (FFM) in South African populations. We determined agreement between fat-free mass measured by DXA (FFMDXA) and FFM calculated from published multi-frequency bioelectrical impedance prediction equations (FFMBIA); and developed a new equation for predicting FFM for preadolescent black South African children. Cross-sectional data on a convenience sample of 84 children (mean age 8.5 ± 1.4 years; 44 {52%} girls) included body composition assessed using Dual X-ray Absorptiometry (FFMDXA) and impedance values obtained from the Seca mBCA 514 Medical Body Composition analyzer used to calculate FFM using 17 published prediction equations (FFMBIA). Only two equations yielded FFM estimates that were similar to the DXA readings (p > 0.05). According to the Bland–Altman analysis, the mean differences in FFM (kg) were 0.15 (LOA: −2.68; 2.37) and 0.01 (LOA: −2.68; 2.66). Our new prediction equation, F F M = 105.20 + 0.807 × S e x + 0.174 × W e i g h t + 0.01 × R e a c t a n c e + 15.71 × log ( R I ) , yielded an adjusted R2 = 0.9544. No statistical shrinkage was observed during cross-validation. A new equation enables the BIA-based prediction of FFM in the assessment of preadolescent black South African children.

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Comparison of body composition methods in overweight and obese Brazilian women

Arquivos Brasileiros de Endocrinologia & Metabologia ◽

10.1590/s0004-27302010000400009 ◽

2010 ◽

Vol 54 (4) ◽

pp. 398-405 ◽

Cited By ~ 12

Author(s):

Valeria Bender Braulio ◽

Valéria Cristina Soares Furtado ◽

Maria das Graças Silveira ◽

Maria Helena Fonseca ◽

José Egídio Oliveira

Keyword(s):

Body Composition ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Skinfold Thickness ◽

Fat Free Mass ◽

Obese Women ◽

Limits Of Agreement ◽

Percentage Body Fat ◽

Women Subjects ◽

Absolute Agreement

OBJECTIVE: The purpose of this study was to compare skinfold thickness (SKF) and bioelectrical impedance analysis (BIA) of body composition using three different equations against dual-energy X-ray absorptiometry (DXA) in overweight and obese Brazilian women. SUBJECTS AND METHOD: Thirty-four women (age 43.8 ± 10.9 years; body mass index [BMI] 32.1 ± 4.3 kg/m²) had percentage body fat (BF%), fat mass (FM) and fat-free mass (FFM) estimated by DXA, SKF and BIA (BIA-man: manufacturer's equation; and predictive obesity-specific equations of Segal and of Gray). Regression analysis, Bland-Altman plot analysis and intra-class correlation coefficient (ICC) were used to compare methods. RESULTS: Absolute agreement between DXA and BIA-man was poor for all measures of body composition (BF% -6.8% ± 3.7%, FM -3.1 ± 3.6 kg, FFM 5.7 ± 2.8 kg). BIA-Segal equation showed good absolute agreement with DXA for BF% (1.5% ± 1.5%), FM (1.0 ± 3.2 kg) and FFM (1.5 ± 2.6 kg), albeit the limits of agreement were wide. BIA-Gray equation showed good absolute agreement with DXA for FM (2.3 ± 4.1 kg), and smaller biases for BF% (0.05% ± 4.4%) and FFM (0.2 ± 2.9 kg), although wide limits of agreement. BIA-Gray and DXA showed the highest ICC among the pairs of methods. A good absolute agreement was observed between DXA and SKF for BF% (-2.3% ± 5.8%), FM (0.09 ± 4.7 kg), and FFM (2.4 ± 4.4 kg), although limits of agreement were wider and ICC between DXA and SKF for BF% indicated poor degree of reproducibility. CONCLUSION: These findings show that both BIA-Segal and BIA-Gray equations are suitable for BF%, FM and FFM estimations in overweight and obese women.

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Assessment of Body Composition in Youths and Relationship to Sport

International Journal of Sport Nutrition ◽

10.1123/ijsn.6.2.146 ◽

1996 ◽

Vol 6 (2) ◽

pp. 146-164 ◽

Cited By ~ 6

Author(s):

Linda B. Houtkooper

Keyword(s):

Body Composition ◽

Measurement Techniques ◽

Bioelectrical Impedance ◽

Fat Free Mass ◽

Prediction Errors ◽

Prediction Equations ◽

Body Composition Assessment ◽

Mineral Components ◽

Assessment Techniques ◽

Multiple Component

Body composition assessment techniques provide estimates of percent body fat (%BF), fat mass (FM), and fat-free mass (FFM) based on indirect assessment models and methods. Prediction equations for %BF developed using a two-component model based on adult body composition constants will overestimate %BF in youths, especially prepubescent youths. Body composition prediction equations that have been validated and cross-validated using multiple-component criterion models which include measurements of body density and the water and mineral components of FFM provide the most accurate means for assessment of body composition in youths. Use of appropriate prediction equations and proper measurement techniques, for either bioelectrical impedance or skinfolds, results in body composition estimates with standard errors of estimate (prediction errors) of 3 to 4% BF and 2.0 to 2.5 kg of FFM. Poor measurement technique and inappropriate prediction equations will result in much larger prediction errors.

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