scholarly journals Validity of Bioimpedance Spectroscopy in the Assessment of Total Body Water and Body Composition in Wrestlers and Untrained Subjects

Author(s):  
Keisuke Shiose ◽  
Emi Kondo ◽  
Rie Takae ◽  
Hiroyuki Sagayama ◽  
Keiko Motonaga ◽  
...  

Bioimpedance spectroscopy (BIS) is an easy tool to assess hydration status and body composition. However, its validity in athletes remains controversial. We investigated the validity of BIS on total body water (TBW) and body composition estimation in Japanese wrestlers and untrained subjects. TBW of 49 young Japanese male subjects (31 untrained, 18 wrestlers) were assessed using the deuterium dilution method (DDM) and BIS. De Lorenzo’s and Moissl’s equations were employed in BIS for TBW estimation. To evaluate body composition, Siri’s 3-compartment model and published TBW/fat-free mass (FFM) ratio were applied in DDM and BIS, respectively. In untrained subjects, DDM and BIS with de Lorenzo’s equation showed consistent TBW estimates, whereas BIS with Moissl’s equation overestimated TBW (p < 0.001 vs. DDM). DDM and BIS with de Lorenzo’s equation estimated FFM and percent of fat mass consistently, whereas BIS with Moissl’s equation over-estimated and under-estimated them (p < 0.001 vs. DDM). In wrestlers, BIS with de Lorenzo’s and Moissl’s equations assessed TBW similarly with DDM. However, the Bland–Altman analysis revealed a proportional bias for TBW in BIS with de Lorenzo’s equation (r = 0.735, p < 0.001). Body composition assessed with BIS using both equations and DDM were not different. In conclusion, BIS with de Lorenzo’s equation accurately estimates the TBW and body composition in untrained subjects, whereas BIS with Moissl’s equation is more valid in wrestlers. Our results demonstrated the usefulness of BIS for assessing TBW and body composition in Japanese male wrestlers.

Author(s):  
Ava Kerr ◽  
Gary Slater ◽  
Nuala Byrne ◽  
Janet Chaseling

The three-compartment (3-C) model of physique assessment (fat mass, fat-free mass, water) incorporates total body water (TBW) whereas the two-compartment model (2-C) assumes a TBW of 73.72%. Deuterium dilution (D2O) is the reference method for measuring TBW but is expensive and time consuming. Multifrequency bioelectrical impedance spectroscopy (BIS SFB7) estimates TBW instantaneously and claims high precision. Our aim was to compare SFB7 with D2O for estimating TBW in resistance trained males (BMI >25kg/m2). We included TBWBIS estimates in a 3-C model and contrasted this and the 2-C model against the reference 3-C model using TBWD2O. TBW of 29 males (32.4 ± 8.5 years; 183.4 ± 7.2 cm; 92.5 ± 9.9 kg; 27.5 ± 2.6 kg/m2) was measured using SFB7 and D2O. Body density was measured by BODPOD, with body composition calculated using the Siri equation. TBWBIS values were consistent with TBWD2O (SEE = 2.65L; TE = 2.6L) as were %BF values from the 3-C model (BODPOD + TBWBIS) with the 3-C reference model (SEE = 2.20%; TE = 2.20%). For subjects with TBW more than 1% from the assumed 73.72% (n = 16), %BF from the 2-C model differed significantly from the reference 3-C model (Slope 0.6888; Intercept 5.093). The BIS SFB7 measured TBW accurately compared with D2O. The 2C model with an assumed TBW of 73.72% introduces error in the estimation of body composition. We recommend TBW should be measured, either via the traditional D2O method or when resources are limited, with BIS, so that body composition estimates are enhanced. The BIS can be accurately used in 3C equations to better predict TBW and BF% in resistance trained males compared with a 2C model.


2001 ◽  
Vol 86 (9) ◽  
pp. 4161-4165 ◽  
Author(s):  
Jan P. T. Span ◽  
Gerlach F. F. M. Pieters ◽  
Fred G. J. Sweep ◽  
Ad R. M. M. Hermus ◽  
Anthony G. H. Smals

In GH-deficient adults, rhGH has pronounced effects on total body water, fat free mass, and fat mass. Recently, we observed a gender difference in IGF-I responsivity to rhGH that was sex steroid dependent. The aim of the present study was to assess the effect of rhGH therapy on body composition parameters with due attention to the gender differences in biological responsiveness to rhGH. Forty-four women [36.9 ± 11.9 yr (mean ± sd)] and 33 men (37.2 ± 13.8 yr) with GH deficiency were studied every 6 months during 2 yr. The treatment goal was to achieve IGF-I levels within the age-adjusted normal range. Total body water, fat free mass, and fat mass were measured by bioimpedantiometry. To reach the treatment goal, the daily rhGH dose (IU/kg/d) had to be significantly higher in women than in men at all time intervals. During rhGH therapy, total body water and fat free mass increased significantly in both men and women (P ≤ 0.01 by ANOVA), but changes were more pronounced in men. Fat mass decreased during rhGH treatment and reached its nadir at 6 months, which was more pronounced in men than in women (P = 0.02 by ANOVA). After the initial decrease, fat mass increased again and reached baseline values after 2 yr of treatment. In both men and women, the total body water and fat free mass increases were closely related to the IGF-I increments (P &lt; 0.001 by Pearson’s correlation test). The decrease in fat mass correlated significantly with the increase in IGF-I in men (r = −0.89, P &lt; 0.001), not in women. Confirming our earlier data, IGF-I responsivity to rhGH was significantly higher in men than in women at all time intervals (P &lt; 0.01 by ANOVA). Total body water and fat free mass responsivities were also higher in men than in women (P &lt; 0.01 by ANOVA). In conclusion, gender differences in IGF-I responsivities to rhGH are accompanied by gender differences in the extent of body composition changes to rhGH. Probably because of these gender differences in IGF-I responsivity, the increases of total body water and fat free mass to rhGH replacement were greater in men than in women. Remarkably, however, in men, only total body water and fat free mass responses relative to changes in IGF-I increased during the 2 yr of rhGH therapy (P= 0.02 and 0.01, respectively, by ANOVA). In our opinion, this phenomenon might be explained by the increasing target organ sensitivity to IGF-I over time.


1994 ◽  
Vol 71 (3) ◽  
pp. 309-316 ◽  
Author(s):  
Paul Deurenberg ◽  
Klaas R. Westerterp ◽  
Erica J. M. Velthuis-Te Wierik

Body composition was measured in nine healthy, normal-weight, weight-stable subjects in three different research centres. In each centre the usual procedures for the measurements were followed. It revealed that the measurement procedures in the three centres were comparable. Body composition was measured in each centre between 09.00 and 13.00 hours after a light breakfast by densitometry (underwater weighing) and bio-electrical impedance. A single, total-body-water determination by D2O dilution was used as a reference value. Body fat determined by densitometry was significantly lower in one centre, which, however, could be completely explained by a lower body weight, probably due to water loss (the subjects refrained for a longer time from food and drinks before the measurements in that centre) and, thus, by violation of the assumptions of Siri's (1961) formula. Also, body impedance was slightly higher in that centre, indicating a lower amount of body water. Mean body fat from densitometry was also slightly lower in that centre compared with body fat determined by D2O dilution. Individual differences between body fat from densitometry and from total body water were relatively large, up to 7% body fat. The relationship between fat-free mass from densitometry and bio-electrical impedance was not different between the centres. It is concluded that differences in the relationship between body composition and bio-electrical impedance, as reported in the literature, may be due to differences in standardization procedures and/or differences in reference population.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Lucia Aubert ◽  
María Fernandez-Vidal ◽  
Paula Jara Caro Espada ◽  
Sara Afonso ◽  
Justo Sandino Pérez ◽  
...  

Abstract Background and Aims Changes on body composition have an impact on the survival of haemodialysis (HD) patients. The aim of the study was to determine the impact of the reduction of physical activity due to COVID19 lockdown on body composition in HD patients. Method Retrospective and observational study including 149 HD patients. Nutritional and Bioimpedance spectroscopy (BIS) data were recorded before and after COVID19 lockdown (mean of 148 ± 20 days between determinations). Results Over the 49 days of COVID19 lockdown, we observed a decrease in normohydrated weight (NHW) of 1.01 ± 3.59 kg mainly secondary to a reduction on total body water (TBW) 0.95 ± 3.78 L (extracellular water 0.45 ± 1.58 L and intracellular water 0.41 ± 2.36 L). There was also a small loss on lean tissue index (LTI) of 0.28 ± 2.42 kg/m2, with an increase of fat tissue index (FTI) 0f 0.02 ± 2.82 kg/m2. Twenty-three patients presented COVID19 infection, of which 21 required admission (median of 10 [4-16] days). Patients who presented COVID19 were older (70.7 ± 12.0 vs 64.9 ± 16.6 years, NS) with higher Charlson index (7.48 ± 2.77 vs 6.33 ± 2.65, p = 0.07). Patients with COVID19 infection presented a greater loss on LTI (-1.18 ± 3.15 bs -0.16 ± 2.30 kg/m2; p = 0.22), FTI (-0.41 ± 3.38 vs 0.06 ± 2.74 kg/m2; p = 0.54); BMI (-1.49 ± 2.14 vs -0.25 ± 0.96 kg/m2; p = &lt; 0.01) and NHW (-4.00 ± 6.33 vs -0.62 ± 2.90 kg; p = &lt; 0.01) compared to patients without COVID19 infection. The length of hospitalization was associated with greater loss of BMI and NHW, resulting, therefore, in overhydration. There also had lower serum phosphorus (3.6 ± 0.8 vs 5.2 ± 0.8 mg/dl; p = 0.01) and serum albumin (3.5 ± 0.4 vs 4.0 ± 0.1 g/dl; p = 0.01). Seven patients died during hospitalization. Deceased patients were older (78.4 ± 6.6 vs 67.4 ± 12.4 years; p = 0.01), presented higher comorbidity (estimated by Charlson index 10.0 [8.0-11.0] vs 6.5 [4.3-8.0]; p = 0.02) and were more overhydrated (3.4 ± 3.6 vs 1.9 ± 1.9; p = 0.34). Although not statistically different, they had lower LTI (10.4 ± 2.1 vs 12.0 ± 3.4 kg/m2; p = 0.18) and lower serum albumin (3.4 ± 0.6 vs 3.9 ± 0.4 g/dl; p = 0.08) compared to survivors. Patients who survived COVID19 infection had longer hospitalization (57% were discharged between twelfth and forty third day; mean hospitalization 14.6 ± 11.5 days). Deceased patients died within the first 12 days of hospitalization (6.8 ± 4.1 days). Conclusion COVID19 lockdown induced a weight reduction on HD patients due to decrease in total body water. COVID19 infection increased this reduction, inducing greater loss on lean and fat tissue composition. Moreover, COVID19 impact on body composition was magnified with the length of hospitalization.


2013 ◽  
Vol 38 (6) ◽  
pp. 626-632 ◽  
Author(s):  
Analiza M. Silva ◽  
Pedro B. Júdice ◽  
Catarina N. Matias ◽  
Diana A. Santos ◽  
João P. Magalhães ◽  
...  

Acute and chronic caffeine intakes have no impact on hydration status (R.J. Maughan and J. Griffin, J. Hum. Nutr. Diet. 16(6): 411–420, 2003), although no research has been conducted to analyze the effects using dilution techniques on total-body water (TBW) and its compartments. Therefore, the aim of this study was to investigate the effects of a moderate dose of caffeine on TBW, extracellular water (ECW), and intracellular water (ICW) during a 4-day period in active males. Thirty men, nonsmokers and low caffeine users (<100 mg·day−1), aged 20–39 years, participated in this double-blind, randomized, crossover trial (ClinicalTrials.gov: No. NCT01477294). The study included 2 conditions (5 mg·kg−1·day−1 of caffeine and placebo (malt-dextrin)) of 4 days each, with a 3-day washout period. TBW and ECW were assessed by deuterium oxide and sodium bromide dilution, respectively, whereas ICW was calculated as TBW minus ECW. Body composition was assessed by dual-energy X-ray absorptiometry. Physical activity (PA) was assessed by accelerometry and water intake was assessed by dietary records. Repeated-measures analysis of variance (ANOVA) was used to test main effects. No changes in TBW, ECW, or ICW and no interaction between the randomly assigned order of treatment and time were observed (p > 0.05). TBW, ECW, and ICW were unrelated to fat-free mass, water ingestion, and PA (p > 0.05). These findings indicate that a moderate caffeine dose, equivalent to approximately 5 espresso cups of coffee or 7 servings of tea, does not alter TBW and fluid distribution in healthy men, regardless of body composition, PA, or daily water ingestion.


2014 ◽  
Vol 18 (2) ◽  
pp. 259-263 ◽  
Author(s):  
Tareq Al-Ati ◽  
Tom Preston ◽  
Suad Al-Hooti ◽  
Nawal Al-Hamad ◽  
Jameela Al-Ghanim ◽  
...  

AbstractObjectiveThe 2H dilution technique is the reference method to estimate total body water for body composition assessment. The aims of the present study were to establish the total body water technique at the Kuwait Institute for Scientific Research and assess body composition of Kuwaiti children.DesignThe isotope ratio mass spectrometer was calibrated with defined international reference water standards. A non-random sampling approach was used to recruit a convenience sample of Kuwaiti children. A dose of 2H2O, 1–3 g, was consumed after an overnight fast and 2H enrichment in baseline and post-dose urine samples was measured. Total body water was calculated and used to estimate fat-free mass. Fat mass was estimated as body weight minus fat-free mass.SettingThe total body water study was implemented in primary schools.SubjectsSeventy-five boys and eighty-three girls (7–9 years).ResultsMeasurements of the isotope ratio mass spectrometer were confirmed to be accurate and precise. Children were classified as normal weight, overweight or obese according to the WHO based on BMI-for-age Z-scores. Normal-weight and overweight girls had significantly higher percentage body fat (median (range): 32·4 % (24·7–39·3 %) and 38·3 % (29·3–44·2 %), respectively) compared with boys (median (range): 26·5 % (14·2–37·1 %) and 34·6 % (29·9–40·2 %), respectively). No gender difference was found in obese children (median 46·5 % v. 45·6 %).ConclusionsThe establishment of a state-of-the-art stable isotope laboratory for assessment of body composition provides an opportunity to explore a wide range of applications to better understand the relationship between body size, body composition and risk of developing non-communicable diseases in Kuwait.


1995 ◽  
Vol 268 (1) ◽  
pp. E153-E158 ◽  
Author(s):  
P. M. Catalano ◽  
W. W. Wong ◽  
N. M. Drago ◽  
S. B. Amini

Twenty women underwent body density (DB) measurements using underwater weighing with correction of residual lung volume by nitrogen dilution and total body water (TBW) using isotope dilution of 18O to estimate body composition at 30 wk of gestation. DB and TBW were used as independent variables in the same equation. The hydration constant (HC) of fat-free mass (FFM) was estimated as 0.762; based on this HC, new body composition equations for both DB and TBW were derived. These equations were prospectively tested in an additional 20 women at 30 wk of gestation. No significant differences were detected between estimates of percent body fat (%F) using either the newly derived DB or TBW equations and estimates of %F using both DB and TBW. Ten of these forty women were evaluated postpartum. There was no significant difference in %F estimated by either TBW or DB compared with standard equations (hydration of FFM = 0.72) and %F using both DB and TBW. These results highlight the importance of either measuring both DB and TBW or using an appropriate hydration constant for FFM in estimating body composition during pregnancy or conditions associated with increased body water.


Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 309-316 ◽  
Author(s):  
Aleksandra Markova ◽  
Mihail Boyanov ◽  
Deniz Bakalov ◽  
Adelina Tsakova

AbstractBackgroundThis study aims to explore the correlations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body composition with levels of asymmetric dimethylarginine (ADMA), endothelin 1(ET-1), N-terminal brain natriuretic pro-peptide (NT-proBNP) and calculated cardiovascular risks.Methods102 women and 67 men with type 2 diabetes participated. Serum levels of NT-proBNP were measured by electro-hemi-luminescence while ELISA were used for ADMA and ET-1. Cardiovascular risks were calculated using the Framingham Risk Score (FRS), the UKPDS 2.0 and the ADVANCE risk engines. Statistical analysis was performed on an IBM SPSS 19.0.ResultsThe BMI outperformed all other indices of obesity (WC, WHtR, WHR), as well as body composition parameters (body fat%, fat mass, fat free mass and total body water) in relation to the estimated risks for coronary heart disease and stroke, based on different calculators. The correlations of the obesity indices with the serum cardiovascular biomarkers were not significant except for BMI and fat mass versus ET-1, and for fat free mass and total body water versus ADMA.ConclusionsThe WC, WHR, WHtR, BF%, FM and FFM apparently do not add significant information related to the levels of cardiovascular biomarkers or the calculated CV-risks.


1993 ◽  
Vol 75 (4) ◽  
pp. 1776-1780 ◽  
Author(s):  
M. I. Goran ◽  
M. C. Kaskoun ◽  
W. H. Carpenter ◽  
E. T. Poehlman ◽  
E. Ravussin ◽  
...  

It is currently unclear whether age-specific equations should be used for assessing body composition from bioelectrical resistance. Kushner et al. (Am. J. Clin. Nutr. 56: 835#x2013;839, 1992) showed that the relationship between height2/resistance and total body water (TBW) is robust across a wide age range, although uncertainty remained over the relationship in preschool children. We therefore cross-validated the Kushner equation for predicting total body water in 4- to 6-yr-old children in two independent laboratories. TBW was measured from H2 18O dilution, and bioelectrical resistance and reactance were measured using an RJL 101A analyzer in 31 children (15 females, 16 males; 5 +/- 0.8 yr) studied in Burlington, Vermont, and 30 children (14 females, 16 males; 5 +/- 0.2 yr) studied in Phoenix, Arizona. There was no significant difference between TBW predicted from the Kushner equation and that measured in children in Burlington (11.76 +/- 2.00 vs. 11.91 +/- 2.46 kg; r = 0.94) or in Phoenix (11.53 +/- 1.64 vs. 11.66 +/- 1.90 kg; r = 0.94). The Kushner equation for TBW can be transformed into an equation for fat-free mass (FFM) by using published age- and gender-specific constants for the hydration of FFM: hydration of FFM = 76.9 - 0.25 age (yr) - 1.9 gender where female equals 0 and male equals 1. The intraclass reliability for estimates of fat mass and FFM with the use of bioelectrical resistance in an independent group of 26 children (5.0 +/- 0.8 yr, 20.2 +/- 3.0 kg) was > 0.99 for duplicate observations performed 2 wk apart.(ABSTRACT TRUNCATED AT 250 WORDS)


Sign in / Sign up

Export Citation Format

Share Document