scholarly journals Bioelectrical impedance analysis for the estimation of body composition in rats

1998 ◽  
Vol 32 (1) ◽  
pp. 65-71 ◽  
Author(s):  
K. Rutter ◽  
L. Hennoste ◽  
L. C. Ward ◽  
B. H. Cornish ◽  
B. J. Thomas
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance Analysis ◽  
Tritiated Water ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Mean Values ◽  
Total Body ◽  
Standard Laboratory Diet ◽  
Assess Body Composition

Bioelectrical impedance analysis (BIA) was used to assess body composition in rats fed on either standard laboratory diet or on a high-fat diet designed to induce obesity. Bioelectrical impedance analysis predictions of total body water and thus fat-free mass (FFM) for the group mean values were generally within 5% of the measured values by tritiated water (3H2O) dilution. The limits of agreement for the procedure were, however, large, approximately ±25%, limiting the applicability of the technique for measurement of body composition in individual animals.

Use of bioelectrical impedance to assess body composition changes at high altitude

1992 ◽  
Vol 72 (6) ◽  
pp. 2181-2187 ◽  
Author(s):  
C. S. Fulco ◽  
R. W. Hoyt ◽  
C. J. Baker-Fulco ◽  
J. Gonzalez ◽  
A. Cymerman
Keyword(s):  
Body Composition ◽  
High Altitude ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Percent Body Fat ◽  
Independent Variables ◽  
Composition Changes ◽  
Assess Body Composition

This study determined the feasibility of using bioelectrical impedance analysis (BIA) to assess body composition alterations associated with body weight (BW) loss at high altitude. The BIA method was also evaluated relative to anthropometric assessments. Height, BW, BIA, skinfold (SF, 6 sites), and circumference (CIR, 5 sites) measurements were obtained from 16 males (23–35 yr) before, during, and after 16 days of residence at 3,700–4,300 m. Hydrostatic weighings (HW) were performed pre- and postaltitude. Results of 13 previously derived prediction equations using various combinations of height, BW, age, BIA, SF, or CIR measurements as independent variables to predict fat-free mass (FFM), fat mass (FM), and percent body fat (%Fat) were compared with HW. Mean BW decreased from 84.74 to 78.84 kg (P less than 0.01). As determined by HW, FFM decreased by 2.44 kg (P less than 0.01), FM by 3.46 kg (P less than 0.01), and %Fat by 3.02% (P less than 0.01). The BIA and SF methods overestimated the loss in FFM and underestimated the losses in FM and %Fat (P less than 0.01). Only the equations utilizing the CIR measurements did not differ from HW values for changes in FFM, FM, and %Fat. It was concluded that the BIA and SF methods were not acceptable for assessing body composition changes at altitude.

scholarly journals A Comparison of Body Composition Measurements Between Bioelectrical Impedance Analysis (InBody 570) and Air Displacement Plethysmography (BOD POD®)

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1689-1689
Author(s):  
Rawiwan Sirirat ◽  
Celine Heskey ◽  
Christine Wilson ◽  
Edward Bitok ◽  
Julie Jones ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Total Body Weight ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Air Displacement Plethysmography ◽  
Bod Pod ◽  
Total Body

Abstract Objectives The accurate measurement of body composition is important in both research and clinical practice. The aim of this study was to compare the InBody relative to the BOD POD®. The latter is widely recognized as one of the most accurate methods to measure human body composition. Methods In the context of a clinical trial of 35 free-living non-athletic individuals [80% F, ages 40–69 years, BMI 25–34 kg/m2], we compared body composition measurements utilizing Bioelectrical Impedance Analysis (BIA) and Air Displacement Plethysmography (ADP). ADP was conducted in a BOD POD® (Cosmed USA Inc., Concord, CA, USA) and BIA measured using InBody 570 (In Body, Cerritos, CA, USA). Body measurements included total body weight, fat mass and fat-free mass which were obtained in kilograms following manufacturer instructions. Spearman's rank (rs) and Pearson correlations (r) were used to evaluate the agreement between the two instruments. Results The BOD POD® and InBody measurements were strongly correlated. Correlation was strongest for total body weight (rs (35) = .99, P < .0001), followed by fat mass (r (35) = .93, P < .0001). The lowest correlation was observed for fat-free mass (rs (35) = .79, P < .0001). Conclusions The InBody 570 is reliable and compares favorably to the BOD POD®. Hence, it can be used in clinical settings and epidemiological studies as a practical and relatively inexpensive alternative to the BodPod and dual-energy x-ray absorptiometry (DEXA). Funding Sources Nutrition Research Center, School of Public Health, Loma Linda University, Loma Linda, CA, USA.

scholarly journals Bioelectrical Impedance Analysis—An Easy Tool for Quantifying Body Composition in Infancy?

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 920
Author(s):  
Jaz Lyons-Reid ◽  
Leigh C. Ward ◽  
Timothy Kenealy ◽  
Wayne Cutfield
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance Analysis ◽  
Body Position ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Fat Free Mass ◽  
Optimal Size ◽  
Number Of Factors ◽  
Assess Body Composition

There has been increasing interest in understanding body composition in early life and factors that may influence its evolution. While several technologies exist to measure body composition in infancy, the equipment is typically large, and thus not readily portable, is expensive, and requires a qualified operator. Bioelectrical impedance analysis shows promise as an inexpensive, portable, and easy to use tool. Despite the technique being widely used to assess body composition for over 35 years, it has been seldom used in infancy. This may be related to the evolving nature of the fat-free mass compartment during this period. Nonetheless, a number of factors have been identified that may influence bioelectrical impedance measurements, which, when controlled for, may result in more accurate measurements. Despite this, questions remain in infants regarding the optimal size and placement of electrodes, the standardization of normal hydration, and the influence of body position on the distribution of water throughout the body. The technology requires further evaluation before being considered as a suitable tool to assess body composition in infancy.

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.

Body Composition Over the Menstrual and Oral Contraceptive Cycle in Trained Females

2020 ◽  
pp. 1-7
Author(s):  
Beatriz Rael ◽  
Nuria Romero-Parra ◽  
Víctor M. Alfaro-Magallanes ◽  
Laura Barba-Moreno ◽  
Rocío Cupeiro ◽  
...  
Keyword(s):  
Body Composition ◽  
Oral Contraceptive ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Mixed Linear Model ◽  
Follicular Phase ◽  
Fat Free Mass ◽  
Female Sex Hormones ◽  
Early Follicular Phase ◽  
Total Body

Purpose: The influence of female sex hormones on body fluid regulation and metabolism homeostasis has been widely studied. However, it remains unclear whether hormone fluctuations throughout the menstrual cycle (MC) and with oral contraceptive (OC) use affect body composition (BC). Thus, the aim of this study was to investigate BC over the MC and OC cycle in well-trained females. Methods: A total of 52 eumenorrheic and 33 monophasic OC-taking well-trained females participated in this study. Several BC variables were measured through bioelectrical impedance analysis 3 times in the eumenorrheic group (early follicular phase, late follicular phase, and midluteal phase) and on 2 occasions in the OC group (withdrawal phase and active pill phase). Results: Mixed linear model tests reported no significant differences in the BC variables (body weight, body mass index, basal metabolism, fat mass, fat-free mass, and total body water) between the MC phases or between the OC phases (P > .05 for all comparisons). Trivial and small effect sizes were found for all BC variables when comparing the MC phases in eumenorrheic females, as well as for the OC cycle phases. Conclusions: According to the results, sex hormone fluctuations throughout the menstrual and OC cycle do not influence BC variables measured by bioelectrical impedance in well-trained females. Therefore, it seems that bioimpedance analysis can be conducted at any moment of the cycle, both for eumenorrheic women and women using OC.

scholarly journals Development and Validation of Bioelectrical Impedance Analysis Equations in Adolescents with Severe Obesity

2019 ◽  
Vol 149 (7) ◽  
pp. 1288-1293 ◽  
Author(s):  
Alissa Steinberg ◽  
Cedric Manlhiot ◽  
Ping Li ◽  
Emma Metivier ◽  
Paul B Pencharz ◽  
...  
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance Analysis ◽  
Severe Obesity ◽  
Validation Cohort ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Predictive Equation ◽  
Predictive Equations ◽  
Squared Prediction Error

ABSTRACT Background Body mass index measures excess weight for size, and does not differentiate between fat mass (FM) and fat-free mass (FFM). Bioelectrical impedance analysis (BIA) is most commonly used to assess FM and FFM as it is simple and inexpensive. Variables from BIA measurements are used in predictive equations to estimate FM and FFM. To date, these equations have not been validated for use in adolescents with severe obesity. Objectives In a cohort of adolescents with severe obesity (SO), a BMI ≥ 120% of the 95th percentile, this study aimed to 1) derive a BIA predictive equation data from air displacement plethysmography (ADP) measurements; 2) reassess the equation in a second validation cohort; and 3) compare the accuracy of existing body composition equations. Methods Adolescents with SO were assessed using ADP and BIA. FM values derived from ADP measurements from the first cohort (n = 27) were used to develop a BIA predictive equation (i.e., Hamilton). A second cohort (n = 65) was used to cross-validate the new and 9 existing BIA predictive equations. Results Ninety-two adolescents (15.8 ± 1.9 y; BMI: 46.1 ± 9.9 kg/m2) participated. Compared with measured FFM using ADP: 1) the Lazzer, Hamilton, Gray, and Kyle equations were without significant bias; 2) the Hamilton and Gray equations had the smallest absolute and relative differences; 3) the Kyle and Gray equations showed the strongest correlation; 4) the Hamilton equation most accurately predicted FFM within ± 5% of measured FFM; and 5) 8 out of 9 equations had similar root mean squared prediction error values (6.03–6.64 kg). Conclusion The Hamilton BIA equation developed in this study best predicted body composition values for groups of adolescents with severe obesity in a validation cohort.

Sign in / Sign up

Export Citation Format

Share Document