Literature DB >> 1609756

The five-level model: a new approach to organizing body-composition research.

Z M Wang1, R N Pierson, S B Heymsfield.   

Abstract

Body-composition research is a branch of human biology that has three interconnecting areas: body-composition levels and their organizational rules, measurement techniques, and biological factors that influence body composition. In the first area, which is inadequately formulated at present, five levels of increasing complexity are proposed: I, atomic; II, molecular; III, cellular; IV, tissue-system; and V, whole body. Although each level and its multiple compartments are distinct, biochemical and physiological connections exist such that the model is consistent and functions as a whole. The model also provides the opportunity to clearly define the concept of a body composition steady state in which quantitative associations exist over a specified time interval between compartments at the same or different levels. Finally, the five-level model provides a matrix for creating explicit body-composition equations, reveals gaps in the study of human body composition, and suggests important new research areas.

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Year:  1992        PMID: 1609756     DOI: 10.1093/ajcn/56.1.19

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  74 in total

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Authors:  Robert A Oppliger; Cynthia Bartok
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

Review 2.  Establishing body composition in obesity.

Authors:  A Pietrobelli; S B Heymsfield
Journal:  J Endocrinol Invest       Date:  2002-11       Impact factor: 4.256

Review 3.  Adipose tissue quantification by imaging methods: a proposed classification.

Authors:  Wei Shen; ZiMian Wang; Mark Punyanita; Jianbo Lei; Ahmet Sinav; John G Kral; Celina Imielinska; Robert Ross; Steven B Heymsfield
Journal:  Obes Res       Date:  2003-01

4.  Comparison of three methods of nutritional assessment in liver cirrhosis: subjective global assessment, traditional nutritional parameters, and body composition analysis.

Authors:  Fátima A F Figueiredo; Renata M Perez; Márcia M Freitas; Mário Kondo
Journal:  J Gastroenterol       Date:  2006-05       Impact factor: 7.527

5.  Fat mass compared to four body condition scoring systems in the Asian elephant (Elephas maximus).

Authors:  Daniella E Chusyd; Janine L Brown; Lilian Golzarri-Arroyo; Stephanie L Dickinson; Maria S Johnson; David B Allison; Tim R Nagy
Journal:  Zoo Biol       Date:  2019-07-30       Impact factor: 1.421

6.  Body composition analysis: Cellular level modeling of body component ratios.

Authors:  Z Wang; S B Heymsfield; F X Pi-Sunyer; D Gallagher; R N Pierson
Journal:  Int J Body Compos Res       Date:  2008

7.  Weight after SCI: the good, the bad and the ugly.

Authors:  David R Gater
Journal:  J Spinal Cord Med       Date:  2017-03       Impact factor: 1.985

8.  Body composition in Pan paniscus compared with Homo sapiens has implications for changes during human evolution.

Authors:  Adrienne L Zihlman; Debra R Bolter
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-01       Impact factor: 11.205

9.  A cellular level approach to predicting resting energy expenditure: Evaluation of applicability in adolescents.

Authors:  Zimian Wang; Steven B Heymsfield; Zhiliang Ying; Richard N Pierson; Dympna Gallagher; Sonia Gidwani
Journal:  Am J Hum Biol       Date:  2010 Jul-Aug       Impact factor: 1.937

10.  Accuracy of DXA in estimating body composition changes in elite athletes using a four compartment model as the reference method.

Authors:  Diana A Santos; Analiza M Silva; Catarina N Matias; David A Fields; Steven B Heymsfield; Luís B Sardinha
Journal:  Nutr Metab (Lond)       Date:  2010-03-22       Impact factor: 4.169

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