Literature DB >> 23871192

Accuracy of quantitative magnetic resonance and eight-electrode bioelectrical impedance analysis in normal weight and obese women.

Marja Bosaeus1, Therese Karlsson2, Agneta Holmäng2, Lars Ellegård3.   

Abstract

BACKGROUND & AIMS: Quantitative magnetic resonance (QMR) has previously been shown to both overestimate and underestimate average fat mass (FM) in humans. Eight-electrode bioelectrical impedance analysis (BIA) has previously been found biased as well as successfully validated. We report cross-sectional accuracy of QMR and eight-electrode BIA evaluated with air displacement plethysmography (ADP) as reference method.
METHODS: Fat mass and fat free mass (FFM) by QMR and eight-electrode BIA were evaluated against ADP as reference in 38 normal weight and 30 obese women. Total body water estimates by QMR and eight-electrode BIA were compared.
RESULTS: Fat mass was overestimated by QMR (1 ± 2 kg, p < 0.001) and was underestimated by eight-electrode BIA (1 ± 3 kg, p = 0.03, Bonferroni adjusted p = 0.29) in normal weight women. Fat mass was underestimated by both QMR (2 ± 2 kg, p < 0.001) and eight-electrode BIA (9 ± 3 kg, p < 0.001) in obese women. Fat free mass biases were of similar magnitude but in opposite direction to FM biases. Total body water estimates were larger by eight-electrode BIA compared to QMR (1-10 kg).
CONCLUSIONS: Fat mass and FFM by QMR were both biased but in opposite directions in both normal weight and obese women. Eight-electrode BIA FM and FFM estimates were imprecise and biased in obese women. Thus, QMR is more precise and more accurate than eight-electrode BIA for estimating body composition in women, but is not accurate enough to be used for individual single assessment of body composition.
Copyright © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Air displacement plethysmography; Bioelectrical impedance analysis; Body composition; Obesity; Quantitative magnetic resonance

Mesh:

Year:  2013        PMID: 23871192     DOI: 10.1016/j.clnu.2013.06.017

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  13 in total

1.  In Vivo Determination of Body Composition in Zebrafish (Danio rerio) by Quantitative Magnetic Resonance.

Authors:  L Adele Fowler; Lacey N Dennis; R Jeff Barry; Mickie L Powell; Stephen A Watts; Daniel L Smith
Journal:  Zebrafish       Date:  2016-03-14       Impact factor: 1.985

2.  Body composition in overweight and obese women postpartum: bioimpedance methods validated by dual energy X-ray absorptiometry and doubly labeled water.

Authors:  L Ellegård; F Bertz; A Winkvist; I Bosaeus; H K Brekke
Journal:  Eur J Clin Nutr       Date:  2016-03-30       Impact factor: 4.016

3.  Validity of multi-frequency bioelectric impedance methods to measure body composition in obese patients: a systematic review.

Authors:  Louise Becroft; Geraldine Ooi; Adrienne Forsyth; Susannah King; Audrey Tierney
Journal:  Int J Obes (Lond)       Date:  2018-12-19       Impact factor: 5.095

4.  Relationship Between Bioelectrical Impedance Parameters and Appendicular Muscle Functional Quality in Older Adults from South-Western Poland.

Authors:  Malgorzata Kolodziej; Zofia Ignasiak; Tomasz Ignasiak
Journal:  Clin Interv Aging       Date:  2021-02-05       Impact factor: 4.458

5.  A Useful Tool As a Medical Checkup in a General Population-Bioelectrical Impedance Analysis.

Authors:  Mika Enomoto; Hisashi Adachi; Ako Fukami; Eita Kumagai; Sachiko Nakamura; Yume Nohara; Shoko Kono; Erika Nakao; Nagisa Morikawa; Tomoko Tsuru; Akiko Sakaue; Yoshihiro Fukumoto
Journal:  Front Cardiovasc Med       Date:  2017-02-02

6.  Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method.

Authors:  Najate Achamrah; Pierre Jésus; Sébastien Grigioni; Agnès Rimbert; André Petit; Pierre Déchelotte; Vanessa Folope; Moïse Coëffier
Journal:  Nutrients       Date:  2018-01-10       Impact factor: 5.717

7.  Comparison of visceral fat area measured by CT and bioelectrical impedance analysis in Chinese patients with gastric cancer: a cross-sectional study.

Authors:  Xiaotian Chen; Xiaojie Bian; Bo Gao; Yu Liu; Chao Ding; Shunli Liu
Journal:  BMJ Open       Date:  2020-07-23       Impact factor: 2.692

8.  Body Composition During Pregnancy: Longitudinal Changes and Method Comparisons.

Authors:  Marja Bosaeus; Ulrika Andersson-Hall; Louise Andersson; Therese Karlsson; Lars Ellegård; Agneta Holmäng
Journal:  Reprod Sci       Date:  2020-01-28       Impact factor: 3.060

9.  Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population.

Authors:  Kuen-Tsann Chen; Yu-Yawn Chen; Chia-Wei Wang; Chih-Lin Chuang; Li-Ming Chiang; Chung-Liang Lai; Hsueh-Kuan Lu; Gregory B Dwyer; Shu-Ping Chao; Ming-Kuei Shih; Kuen-Chang Hsieh
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

10.  Comparison of body composition assessment by DXA and BIA according to the body mass index: A retrospective study on 3655 measures.

Authors:  Najate Achamrah; Guillaume Colange; Julie Delay; Agnès Rimbert; Vanessa Folope; André Petit; Sébastien Grigioni; Pierre Déchelotte; Moïse Coëffier
Journal:  PLoS One       Date:  2018-07-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.