Total body water estimation using bioelectrical impedance: a meta-analysis of the data available in the literature

Martinoli, R; Mohamed, Ehab I.; Maiolo, C.; Cianci, Rossella; Denoth, Francesca; Salvadori, Stefano; Iacopino, L

doi:10.1007/s00592-003-0066-2

Cited by 63 publications

(44 citation statements)

References 14 publications

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“…Body weight is also measured in the leg-to-leg pressure contact BIA; in addition to providing information on fat mass, multifrequency BIA (frequencies up to 300 kHz) may have an added advantage over SF-BIA (50 kHz) for evaluating leg skeletal muscle (25,26). Martinolli et al reported that multi-frequency BIA seems to be a more accurate method than single frequency BIA for estimating the TBW compartment of healthy and obese adults (27). The advantages of BIA include its portability and ease of use, relatively low cost, minimal participant participation required, and safety (although not recommended for participants with pacemakers).…”

Section: Discussionmentioning

confidence: 99%

Compatibility of different methods for the measurement of visceral fat in different body mass index strata

Berker¹,

Koparal²,

Işık³

et al. 2009

Diagn Interv Radiol

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Section: Discussionmentioning

confidence: 99%

Compatibility of different methods for the measurement of visceral fat in different body mass index strata

Berker¹,

Koparal²,

Işık³

et al. 2009

Diagn Interv Radiol

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“…Biolectric impedance analysis is an accurate, noninvasive, and inexpensive technique for quantitatively estimating body fat mass and body lean mass. Although in emaciated persons it may not be so accurate as the dual X-ray absorptiometry, it has been reported to possess a good reliability (Martinoli et al, 2003;Kyle et al, 2003).…”

Section: Methodsmentioning

confidence: 99%

Blood Levels of the Endocannabinoid Anandamide are Increased in Anorexia Nervosa and in Binge-Eating Disorder, but not in Bulimia Nervosa

Monteleone

Matías

Martiadis

et al. 2005

Neuropsychopharmacol

239

149

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The endocannabinoid system, consisting of two cannabinoid receptors (CB 1 and CB 2 ) and the endogenous ligands anandamide (arachidonoylethanolamide (AEA)) and 2-arachidonoylglycerol (2-AG), has been shown to control food intake in both animals and humans, modulating either rewarding or quantitative aspects of the eating behavior. Moreover, hypothalamic endocannabinoids seem to be part of neural circuitry involved in the modulating effects of leptin on energy homeostasis. Therefore, alterations of the endocannabinoid system could be involved in the pathophysiology of eating disorders, where a deranged leptin signalling has been also reported. In order to verify this hypothesis, we measured plasma levels of AEA, 2-AG, and leptin in 15 women with anorexia nervosa (AN), 12 women with bulimia nervosa (BN), 11 women with binge-eating disorder (BED), and 15 healthy women. Plasma levels of AEA resulted significantly enhanced in both anorexic and BED women, but not in bulimic patients. No significant change occurred in the plasma levels of 2-AG in all the patients' groups. Moreover, circulating AEA levels were significantly and inversely correlated with plasma leptin concentrations in both healthy controls and anorexic women. These findings show for the first time a derangement in the production of the endogenous cannabinoid AEA in drug-free symptomatic women with AN or with BED. Although the pathophysiological significance of this alteration awaits further studies to be clarified, it suggests a possible involvement of AEA in the mediation of the rewarding aspects of the aberrant eating behaviors occurring in AN and BED.

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“…MF-BIA distinguishes between extracellular and intracellular water volume by assessing body resistance to an alternating current. In one meta-analysis, MF-BIA proved to be accurate for estimating TBW in healthy subjects, obese adults, and patients with chronic renal failure [1]. …”

Section: Introductionmentioning

confidence: 99%

Applying an Artificial Neural Network to Predict Total Body Water in Hemodialysis Patients

et al. 2005

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Background: Estimating total body water (TBW) is crucial in determining dry weight and dialytic dose for hemodialysis patients. Several anthropometric equations have been used to predict TBW, but a more accurate method is needed. We developed an artificial neural network (ANN) to predict TBW in hemodialysis patients. Methods: Demographic data, anthropometric measurements, and multifrequency bioelectrical impedance analysis (MF-BIA) were investigated in 54 patients. TBW measured by MF-BIA (TBW-BIA) was the reference. The predictive value of TBW based on ANN and five anthropometric equations (58% of actual body weight, Watson formula, Hume formula, Chertow formula, and Lee formula) was evaluated. Results: Predictive TBW values derived from anthropometric equations were significantly higher than TBW-BIA (31.341 ± 6.033 liters). The only non-significant difference was between TBW-ANN (31.468 ± 5.301 liters) and TBW-BIA (p = 0.639). ANN had the strongest Pearson’s correlation coefficient (0.911) and smallest root mean square error (2.480); its peak centered most closely to zero with the shortest tails in an empirical cumulative distribution plot when compared with the other five equations. Conclusion: ANN could surpass traditional anthropometric equations and serve as a feasible alternative method of TBW estimation for chronic hemodialysis patients.

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Total body water estimation using bioelectrical impedance: a meta-analysis of the data available in the literature

Cited by 63 publications

References 14 publications

Compatibility of different methods for the measurement of visceral fat in different body mass index strata

Compatibility of different methods for the measurement of visceral fat in different body mass index strata

Blood Levels of the Endocannabinoid Anandamide are Increased in Anorexia Nervosa and in Binge-Eating Disorder, but not in Bulimia Nervosa

Applying an Artificial Neural Network to Predict Total Body Water in Hemodialysis Patients

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