Estimation of total body water and extracellular water with bioimpedance in athletes: A need for athlete-specific prediction models

Matias, Catarina N.; Santos, Diana A.; Júdice, Pedro B.; Magalhães, João P.; Minderico, Cláudia; Fields, David A.; Lukaski, Henry C.; Sardinha, Luís B.; Silva, Analiza M.

doi:10.1016/j.clnu.2015.03.013

Cited by 85 publications

(86 citation statements)

References 24 publications

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“…We acknowledge that BIS is an indirect measurement of total body water, however, the use of the criterion dilution methods did not fit within the constraints of the larger study. Additionally, BIS has been recently validated against criterion methods in athletes and was considered appropriate in this setting (17,22).…”

Section: Discussionmentioning

confidence: 99%

Manipulation of Muscle Creatine and Glycogen Changes Dual X-ray Absorptiometry Estimates of Body Composition

Bone

Ross

Tomcik

et al. 2017

Medicine &Amp; Science in Sports &Amp; Exercise

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21Standardising a dual x-ray absorptiometry (DXA) protocol is thought to provide a reliable 22 measurement of body composition. 23Purpose: We investigated the effects of manipulating muscle glycogen and creatine content 24 independently and additively on DXA estimates of lean mass. Results: Glycogen loading, both with and without creatine loading, resulted in substantial 34 increases in estimates of lean body mass (mean ± SD; 3.0 ± 0.7 % and 2.0 ± 0.9 %) and leg 35 lean mass (3.1 ± 1.8 %and 2.6 ± 1.0 %) respectively. A substantial decrease in leg lean mass 36 was observed following the glycogen depleting condition (-1.4 ± 1.6 %). Total body water 37 showed substantial increases following glycogen loading (2.3 ± 2.3 %), creatine loading (1.4 38 ± 1.9 %) and the combined treatment (2.3 ± 1.1 %).

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Section: Discussionmentioning

confidence: 99%

Manipulation of Muscle Creatine and Glycogen Changes Dual X-ray Absorptiometry Estimates of Body Composition

Bone

Ross

Tomcik

et al. 2017

Medicine &Amp; Science in Sports &Amp; Exercise

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“…BIVA was applied to normalize V, R, and Xc for height (H) in meters [ 29 ]. TBW was calculated from bioimpedance values, according to specific equations developed for athletes using a 4-compartment model as a criterion method [ 30 ] then the athletes were divided into quartiles.…”

Section: Methodsmentioning

confidence: 99%

Body Water Content and Morphological Characteristics Modify Bioimpedance Vector Patterns in Volleyball, Soccer, and Rugby Players

Campa

Silva

Matias

et al. 2020

IJERPH

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Background: Bioimpedance vector analysis (BIVA) is a widely used method based on the interpretation of raw bioimpedance parameters to evaluate body composition and cellular health in athletes. However, several variables contribute to influencing BIVA patterns by militating against an optimal interpretation of the data. This study aims to explore the association of morphological characteristics with bioelectrical properties in volleyball, soccer, and rugby players. Methods: 164 athletes belonging to professional teams (age 26.2 ± 4.4 yrs; body mass index (BMI) 25.4 ± 2.4 kg/m2) underwent bioimpedance and anthropometric measurements. Bioelectric resistance (R) and reactance (Xc) were standardized for the athlete’s height and used to plot the vector in the R-Xc graph according to the BIVA approach. Total body water (TBW), phase angle (PhA), and somatotype were determined from bioelectrical and anthropometric data. Results: No significant difference (p > 0.05) for age and for age at the start of competition among the athletes was found. Athletes divided into groups of TBW limited by quartiles showed significant differences in the mean vector position in the R-Xc graph (p < 0.001), where a higher content of body fluids resulted in a shorter vector and lower positioning in the graph. Furthermore, six categories of somatotypes were identified, and the results of bivariate and partial correlation analysis highlighted a direct association between PhA and mesomorphy (r = 0.401, p < 0.001) while showing an inverse correlation with ectomorphy (r = −0.416, p < 0.001), even adjusted for age. On the contrary, no association was observed between PhA and endomorphy (r = 0.100, p = 0.471). Conclusions: Body fluid content affects the vector length in the R-Xc graph. In addition, the lateral displacement of the vector, which determines the PhA, can be modified by the morphological characteristics of the athlete. In particular, higher PhA values are observed in subjects with a high mesomorphic component, whereas lower values are found when ectomorphy is dominant.

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“…that might influence TBW include malnutrition, dehydration, kidney dysfuntion, such as in dialysis patients, as well as enhanced muscle mass in professional athletes [28,29]. People medicated with diuretic drugs or have liver cirrhosis and ascities or oedema are also likely to have abnormal TBW and consequetly a wider range of ethnaol Vd compared with health individuals.…”

Section: Study Limitationsmentioning

confidence: 99%

Evidence based survey of the distribution volume of ethanol: Comparison of empirically determined values with anthropometric measures

Maskell

Jones

Savage

et al. 2019

Forensic Science International

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Blood-alcohol calculations are often required in forensic science casework, they commonly used the Widmark equation.  Anthropometric equations can tailor Widmark's rho-factor for a given individual.  Results using anthropometric equations were in reasonably good agreement with rho-factors determined empirically.  A regression equation involving the person's age, height and body weight was the best model for male subjects.  Consideration of the person's BMI gave more accurate results for females.

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Estimation of total body water and extracellular water with bioimpedance in athletes: A need for athlete-specific prediction models

Cited by 85 publications

References 24 publications

Manipulation of Muscle Creatine and Glycogen Changes Dual X-ray Absorptiometry Estimates of Body Composition

Manipulation of Muscle Creatine and Glycogen Changes Dual X-ray Absorptiometry Estimates of Body Composition

Body Water Content and Morphological Characteristics Modify Bioimpedance Vector Patterns in Volleyball, Soccer, and Rugby Players

Evidence based survey of the distribution volume of ethanol: Comparison of empirically determined values with anthropometric measures

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