Literature DB >> 25645009

Multi-component molecular-level body composition reference methods: evolving concepts and future directions.

S B Heymsfield1, C B Ebbeling, J Zheng, A Pietrobelli, B J Strauss, A M Silva, D S Ludwig.   

Abstract

Excess adiposity is the main phenotypic feature that defines human obesity and that plays a pathophysiological role in most chronic diseases. Measuring the amount of fat mass present is thus a central aspect of studying obesity at the individual and population levels. Nevertheless, a consensus is lacking among investigators on a single accepted 'reference' approach for quantifying fat mass in vivo. While the research community generally relies on the multi-component body volume class of 'reference' models for quantifying fat mass, no definable guide discerns among different applied equations for partitioning the four (fat, water, protein and mineral mass) or more quantified components, standardizes 'adjustment' or measurement system approaches for model-required labelled water dilution volumes and bone mineral mass estimates, or firmly establishes the body temperature at which model physical properties are assumed. The resulting differing reference strategies for quantifying body composition in vivo leads to small, but under some circumstances, important differences in the amount of measured body fat. Recent technological advances highlight opportunities to expand model applications to new subject groups and measured components such as total body protein. The current report reviews the historical evolution of multi-component body volume-based methods in the context of prevailing uncertainties and future potential.
© 2015 World Obesity.

Entities:  

Keywords:  Dual-energy X-ray absorptiometry; isotope dilution; obesity; total body fat; underwater weighing

Mesh:

Year:  2015        PMID: 25645009      PMCID: PMC4464774          DOI: 10.1111/obr.12261

Source DB:  PubMed          Journal:  Obes Rev        ISSN: 1467-7881            Impact factor:   9.213


  68 in total

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Journal:  Am J Clin Nutr       Date:  1984-08       Impact factor: 7.045

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Journal:  Am J Clin Nutr       Date:  2005-05       Impact factor: 7.045

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Authors:  D J Borovnicar; D B Stroud; M L Wahlqvist; B J Strauss
Journal:  Australas Phys Eng Sci Med       Date:  1996-12       Impact factor: 1.430

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Journal:  Metabolism       Date:  1983-02       Impact factor: 8.694

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Journal:  Med Sci Sports Exerc       Date:  1995-12       Impact factor: 5.411

10.  Dual energy X-Ray absorptiometry body composition reference values from NHANES.

Authors:  Thomas L Kelly; Kevin E Wilson; Steven B Heymsfield
Journal:  PLoS One       Date:  2009-09-15       Impact factor: 3.240

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  19 in total

1.  Validation of rapid 4-component body composition assessment with the use of dual-energy X-ray absorptiometry and bioelectrical impedance analysis.

Authors:  Bennett K Ng; Yong E Liu; Wei Wang; Thomas L Kelly; Kevin E Wilson; Dale A Schoeller; Steven B Heymsfield; John A Shepherd
Journal:  Am J Clin Nutr       Date:  2018-10-01       Impact factor: 7.045

2.  Utility of ultrasound for body fat assessment: validity and reliability compared to a multicompartment criterion.

Authors:  Abbie E Smith-Ryan; Malia N M Blue; Eric T Trexler; Katie R Hirsch
Journal:  Clin Physiol Funct Imaging       Date:  2016-12-16       Impact factor: 2.273

Review 3.  Effect of Over- and Underfeeding on Body Composition and Related Metabolic Functions in Humans.

Authors:  Manfred James Müller; Anja Bosy-Westphal
Journal:  Curr Diab Rep       Date:  2019-11-04       Impact factor: 4.810

4.  A randomized study of dietary composition during weight-loss maintenance: Rationale, study design, intervention, and assessment.

Authors:  Cara B Ebbeling; Gloria L Klein; Patricia K Luoto; Julia M W Wong; Lisa Bielak; Ralph G Eddy; Sarah K Steltz; Courtenay Devlin; Megan Sandman; Bridget Hron; Kim Shimy; Steven B Heymsfield; Robert R Wolfe; William W Wong; Henry A Feldman; David S Ludwig
Journal:  Contemp Clin Trials       Date:  2017-12-09       Impact factor: 2.226

5.  Validity and reliability of a 4-compartment body composition model using dual energy x-ray absorptiometry-derived body volume.

Authors:  Abbie E Smith-Ryan; Meredith G Mock; Eric D Ryan; Gena R Gerstner; Eric T Trexler; Katie R Hirsch
Journal:  Clin Nutr       Date:  2016-05-15       Impact factor: 7.324

6.  Official position of the Brazilian Association of Bone Assessment and Metabolism (ABRASSO) on the evaluation of body composition by densitometry: part I (technical aspects)-general concepts, indications, acquisition, and analysis.

Authors:  Sergio Setsuo Maeda; Barbara Santarosa Emo Peters; Lígia Araújo Martini; Hannah Karen Moreira Antunes; Maria Cristina Gonzalez; Henrique Pierotti Arantes; Carla M Prado; Camila Lemos Pinto; Iana Mizumukai de Araújo; Francisco José Albuquerque de Paula; Joao Lindolfo Cunha Borges; Ben-Hur Albergaria; Marcela Ushida; Guilherme Cardenaz de Souza; Laura Maria Carvalho de Mendonça; Mirley do Prado; Marcelo de Medeiros Pinheiro
Journal:  Adv Rheumatol       Date:  2022-03-20

Review 7.  Equations based on anthropometric measurements for adipose tissue, body fat, or body density prediction in children and adolescents: a scoping review.

Authors:  Matheus S Cerqueira; Paulo R S Amorim; Irismar G A Encarnação; Leonardo M T Rezende; Paulo H R F Almeida; Analiza M Silva; Manuel Sillero-Quintana; Diego A S Silva; Fernanda K Santos; João C B Marins
Journal:  Eat Weight Disord       Date:  2022-06-14       Impact factor: 3.008

Review 8.  Emerging Technologies and their Applications in Lipid Compartment Measurement.

Authors:  Steven B Heymsfield; Houchun Harry Hu; Wei Shen; Owen Carmichael
Journal:  Trends Endocrinol Metab       Date:  2015-11-17       Impact factor: 12.015

9.  Comparison of body composition assessment across body mass index categories by two multifrequency bioelectrical impedance analysis devices and dual-energy X-ray absorptiometry in clinical settings.

Authors:  Yair Lahav; Nir Goldstein; Yftach Gepner
Journal:  Eur J Clin Nutr       Date:  2021-01-22       Impact factor: 4.884

10.  Relative Accuracy of Bioelectrical Impedance Analysis for Assessing Body Composition in Children With Severe Obesity.

Authors:  Soofia Khan; Stavra A Xanthakos; Lindsey Hornung; Catalina Arce-Clachar; Robert Siegel; Heidi J Kalkwarf
Journal:  J Pediatr Gastroenterol Nutr       Date:  2020-06       Impact factor: 3.288

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