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Bioimpedance analysis

Should it be used in morbid obesity

Bibliographic Data

ID19459165
AuthorsAna A D Leal, Joel Faintuch (Universidade de São Paulo, corresponding author), Álvaro A C Morais (0000-0002-6974-0889, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória), João A B Noe, Diandria M Bertollo, Rafael C Morais (Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória), Danielle Cabrini (0000-0002-4653-9672, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória)
Year2011
Volume23
Issue3
Pages420-422
Publication date2011-05-01
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Human Biology (JOURNAL)
Journal identifiersISSN: 1042-0533 • E-ISSN: 1520-6300
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajhb.21143
PMID21448907
OpenAlexW2034718460
LanguageEN
Citations received1
References cited12

OBJECTIVES: Questions about reliability of bioimpedance analysis (BIA) in morbidly obese subjects have curtailed its use in this setting, but metabolic implications might reignite the debate. In a prospective study, it was aimed to analyze anthropometric and clinical associations. METHODS: Bariatric candidates (n = 94) with or without metabolic syndrome were consecutively investigated. Age was 34.9 ± 10.4 years (68.1% females), and BMI was 40.8 ± 4.6 kg m(-2) . Methods included single-frequency BIA, anthropometrics, inflammatory indices, and general biochemical profile. RESULTS: Body composition results (water, fat) in females, but not in males, were entirely consistent with the literature. In both genders good association was observed with anthropometrics (BMI, waist circumference), inflammatory indices (ferritin, C-reactive protein) and general biochemical variables. Anthropometric measurements also displayed comparable associations. Multivariate tests including the two sets of measurements indicated no predominance of one method over the other, one complementing the other as metabolic marker. CONCLUSIONS: BIA limitations were mostly relevant for males, not females. Despite such discrepancies, good associations with anthropometry were demonstrated for both genders. Correlations with liver enzymes, and indices of protein, carbohydrate, and lipid metabolism could be demonstrated. BIA deserves more investigations concerning liver steatosis and ongoing inflammation, and it could contribute as well, synergistically with anthropometry, to monitor weight loss, body fat shifts, and metabolic risk

Anthropometry · Body mass index · Hum · Metabolic syndrome · Multivariate analysis · Obesity · Waist · Body Composition Measurement Techniques · Electrical and Bioimpedance Tomography · Medicine · Nutrition and Health in Aging · Endocrinology · Internal Medicine · Physiology

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    Open Access•Valene Garr Barry, Jasmine L Chiang et al.•International Journal of…•2022

Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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