Literature DB >> 23299875

The use of bioelectrical impedance analysis for body composition in epidemiological studies.

A Böhm1, B L Heitmann.   

Abstract

BACKGROUND/
OBJECTIVES: Bioelectrical impedance analysis (BIA) is a relatively simple, inexpensive and non-invasive technique to measure body composition and is therefore suitable in field studies and larger surveys. SUBJECTS/
METHODS: We performed an overview of BIA-derived body fat percentages (BF%) from 55 published studies of healthy populations aged 6-80 years. In addition, the relationship between body mass index (BMI) and body composition is documented in the context of BIA as a good alternative to closely differentiate which composition of the body better relates to the risk of cardiovascular diseases (CVDs)and all-cause mortality. RESULTS AND
CONCLUSIONS: BIA-estimated percentage of BF varies greatly with population and age. BIA-estimated BF% is directly and closely related to various health outcomes such as CVDs, which is in contrast to BMI where both high and low BMIs are associated with increased risk of developing chronic diseases. Studies, among others using BIA, suggest that low BMI may reflect low muscle and high BMI fat mass (FM). BIA-derived lean and FM is directly associated with morbidity and mortality. To the contrary, BMI is rather of limited use for measuring BF% in epidemiological studies.

Entities:  

Mesh:

Year:  2013        PMID: 23299875     DOI: 10.1038/ejcn.2012.168

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  51 in total

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2.  Proposal of new body composition prediction equations from bioelectrical impedance for Indonesian men.

Authors:  J Hastuti; M Kagawa; N M Byrne; A P Hills
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3.  Comparison of bioimpedance body composition in young adults in the Russian Children's Study.

Authors:  Sergey Rudnev; Jane S Burns; Paige L Williams; Mary M Lee; Susan A Korrick; Tatiana Denisova; Yuri Dikov; Gennady Kozupitsa; Russ Hauser; Oleg Sergeyev
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4.  Different displacement of bioimpedance vector due to Ag/AgCl electrode effect.

Authors:  L Nescolarde; H Lukaski; A De Lorenzo; B de-Mateo-Silleras; M P Redondo-Del-Río; M A Camina-Martín
Journal:  Eur J Clin Nutr       Date:  2016-07-06       Impact factor: 4.016

5.  The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

Authors:  Maureen Evans; Kay Nguo; Avihu Boneh; Helen Truby
Journal:  JIMD Rep       Date:  2017-11-24

6.  Dietary protein and urinary nitrogen in relation to 6-year changes in fat mass and fat-free mass.

Authors:  M Z Ankarfeldt; K Gottliebsen; L Ängquist; A Astrup; B L Heitmann; T I A Sørensen
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7.  Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography.

Authors:  R Wibæk; P Kæstel; S R Skov; D L Christensen; T Girma; J C K Wells; H Friis; G S Andersen
Journal:  Eur J Clin Nutr       Date:  2015-04-01       Impact factor: 4.016

8.  Body composition in patients with rheumatoid arthritis is not different than healthy subjects.

Authors:  Servet Akar; İsmail Sarı; Abdurrahman Çömlekci; Merih Birlik; Fatoş Önen; Yiğit Göktay; Dinc Özaksoy; Nurullah Akkoç
Journal:  Eur J Rheumatol       Date:  2014-09-01

9.  The potential of cardiac rehabilitation as a method of suppressing abdominal aortic aneurysm expansion: a pilot study.

Authors:  Atsuko Nakayama; Eisuke Amiya; Hiroyuki Morita; Kanako Hyodo; Naoko Takayama; Yuto Konishi; Masanobu Taya; Takayuki Fujiwara; Yumiko Hosoya; Katsuyuki Hoshina; Issei Komuro
Journal:  Heart Vessels       Date:  2019-05-29       Impact factor: 2.037

10.  Association of bilateral oophorectomy and body fatness in a representative sample of US women.

Authors:  Anne Marie McCarthy; Andy Menke; Kala Visvanathan
Journal:  Gynecol Oncol       Date:  2013-02-18       Impact factor: 5.482

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