Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations

Barbosa-Silva, Maria Cristina G.; Barros, Aluísio J. D.

doi:10.1097/01.mco.0000165011.69943.39

Cited by 333 publications

(321 citation statements)

References 50 publications

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“…On the other hand, more interesting results emerged for phase angle. This BIA variable is thought to be due in vivo to the capacitance of cell membranes and tissue interfaces and therefore to be related to body cell mass (Barbosa-Silva and Barros, 2005). From a nutritional viewpoint, phase angle is decreased in different forms of undernutrition and is a predictor of survival in several pathological conditions (Barbosa-Silva and Barros, 2005;Bellizzi et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Bioelectrical impedance phase angle in constitutionally lean females, ballet dancers and patients with anorexia nervosa

et al. 2008

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Background/objective: Several articles have described body composition in anorexia nervosa, whereas little is known about this issue in underweight ballet dancers and constitutionally lean females. The main aim of this study was to assess whether phase angle (a bioimpedance variable related to body cell mass) differs according to the type of underweight in female adolescents and young women. Subjects/methods: Skinfold thicknesses and bioimpedance analysis (whole body and limbs) were evaluated in three groups of underweight patients (30 patients with anorexia nervosa, 10 constitutionally lean individuals and 15 classical dancers) and 30 normal weight controls. Results: There were no differences between the three groups of underweight patients with respect to anthropometric and bioelectrical impedance analysis (BIA) variables with the exception of phase angle. The latter was significantly higher in dancers, lower in anorectic patients and not different in constitutionally lean patients, as compared with controls. Conclusions: Phase angle (assessed by single-frequency BIA) appears to discriminate between different forms of underweight, being an effective marker of qualitative changes in body composition.

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Section: Discussionmentioning

confidence: 99%

Bioelectrical impedance phase angle in constitutionally lean females, ballet dancers and patients with anorexia nervosa

et al. 2008

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“…BIA is utilised in a range of clinical conditions to routinely measure body composition. Clinical trials have shown the use of BIA as a non-invasive diagnostic tool to evaluate nutritional status, determine the prognosis of clinical patients, and evaluate the influence of therapeutic agents in disease management 7,[11][12][13] .…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

A Bedside Measure of Body Composition in Duchenne Muscular Dystrophy

Elliott

Davidson

Davies

et al. 2015

Pediatric Neurology

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Introduction:In clinical practice, monitoring body composition is a critical component of nutritional assessment and weight management in boys with Duchene muscular dystrophy (DMD). We aimed to evaluate the accuracy of a simple bedside measurement tool for body composition, namely bioelectrical impedance analysis (BIA), in boys with DMD. Methods:Measures of fat free mass (FFM) were determined using a BIA machine and compared against estimations obtained from a reference body composition model. Additionally, the use of raw impedance values were analysed using three existing predictive equations 1-3 for the estimation of FFM. Accuracy of BIA was assessed by comparison against the reference model by calculation of biases and limits of agreement.Results: Body composition was measured in ten boys with DMD, mean age 9.01 ± 2.34 years. The BIA machine values of FFM were on average 2.3 ± 14.1 kg higher than reference values. Limits of agreement (based on 95 % CI of the mean) were -7.4 to 2.9 kg. There was a significant correlation between the mean FFM and difference in FFM between the BIA machine and the reference model (r = -0.86, p= 0.02) suggesting that the bias was not consistent across the range of measurements. The most accurate predictive equation for the estimation of FFM using raw impedance values was Pietrobelli's 3 ; mean difference -0.7 kg, 95 % limits of agreement (-3.5 to 2.0 kg). Conclusion:In a clinical setting, where a rapid assessment of body composition is advantageous, the use of raw impedance values, combined with the Pietrobelli 3 equation, is recommended for the accurate estimation of FFM, in boys with DMD.

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“…29 Bioelectrical impedance analysis is useful in assessing and monitoring nutritional status. 15,30 The phase angle, one of the raw data obtained from bioelectrical impedance analysis measurements and therefore independent from the equipment and internal algorithms used, has proved to be a good prognostic, nutritional and membrane cell function marker in various diseases. 18,21,31,32 Sex-, age-and BMI-specific reference values of the phase angle from a large healthy German population 33 34 The transformation of phase angle values into standardized values (Z-score) allows us to quantify individual deviations from sex-, age-and BMI-specific population averages and to compare subjects from a heterogeneous group.…”

Section: Study Design and Data Collectionmentioning

confidence: 99%

“…The phase angle is one of them. It is measured by bioelectrical impedance analysis and reflects cell membrane function 15 and indirectly, the body's muscle mass. 16 It is an established parameter for diagnosing malnutrition, and a useful prognostic marker in many clinical conditions 17 including several types of cancer.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal follow-up of nutritional status and its influencing factors in adults undergoing allogeneic hematopoietic cell transplantation

Urbain

Birlinger

Lambert

et al. 2012

Bone Marrow Transplant

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There are few longitudinal data on nutritional status and body composition of patients undergoing allogeneic hematopoietic cell transplantation (alloHCT). We assessed nutritional status of 105 patients before alloHCT and its course during the early posttransplant period to day þ 30 and day þ 100 via weight history, body mass index (BMI) normalized for gender and age, Subjective Global Assessment, phase angle normalized for gender, age, and BMI, and fat-free and body fat masses. Furthermore, we present a multivariate regression model investigating the impact of factors on body weight. At admission, 23.8% reported significant weight losses (45%) in the previous 6 months, and we noted 31.5% with abnormal age-and sex-adjusted BMI values (p10th, X90th percentiles). BMI decreased significantly (Po0.0001) in both periods by 11% in total, meaning a weight loss of 8.6 ± 5.7 kg. Simultaneously, the patients experienced significant losses (Po0.0001) of both fat-free and body fat masses. Multivariate regression model revealed clinically relevant acute GVHD (parameter estimate 1.43; P ¼ 0.02) and moderate/severe anorexia (parameter estimate 1.07; P ¼ 0.058) as independent factors influencing early weight loss. In conclusion, our results show a significant deterioration in nutritional status during the early post-transplant period. Predominant alloHCT-associated complications such as anorexia and acute GVHD became evident as significant factors influencing nutritional status.

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Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations

Cited by 333 publications

References 50 publications

Bioelectrical impedance phase angle in constitutionally lean females, ballet dancers and patients with anorexia nervosa

Bioelectrical impedance phase angle in constitutionally lean females, ballet dancers and patients with anorexia nervosa

A Bedside Measure of Body Composition in Duchenne Muscular Dystrophy

Longitudinal follow-up of nutritional status and its influencing factors in adults undergoing allogeneic hematopoietic cell transplantation

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