Literature DB >> 1872381

Chemical and elemental analysis of humans in vivo using improved body composition models.

S B Heymsfield1, M Waki, J Kehayias, S Lichtman, F A Dilmanian, Y Kamen, J Wang, R N Pierson.   

Abstract

Six chemical compartments [water, protein, mineral (osseus and cellular), glycogen, and fat] consisting of 11 elements (N, C, Ca, Na, Cl, K, H, P, O, S, and Mg) comprise greater than or equal to 99% of body weight in living humans. The combination of three neutron-activation systems, whole body 40K counting, and 3H2O dilution at Brookhaven National Laboratory now potentially makes it possible to quantify greater than or equal to 96% of the chemical and elemental determinants of body weight in vivo. The aims of the present study were 1) to develop 6- and 11-compartment chemical and elemental models, respectively, and 2) to evaluate these models in a group of 20 healthy adults. Results demonstrated that body weight estimated from either chemical or elemental components was highly correlated with (both r = 0.97, P less than 0.001) and on average differed by less than 4% from actual body weight. The compartmental results obtained using the chemical model were also evaluated by comparing calculated and actual body density (Db) estimated by underwater weighing. Calculated Db [1.041 +/- 0.017 (SD) g/ml] agreed closely and was highly correlated with actual Db (1.039 +/- 0.018 g/ml; r = 0.82; P less than 0.001). Hence a near-complete chemical and elemental analysis of living human subjects is now possible and, with potential future refinements, represents an important opportunity to quantify the effects of gender, aging, and ethnic status on body composition.

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Year:  1991        PMID: 1872381     DOI: 10.1152/ajpendo.1991.261.2.E190

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  11 in total

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2.  Dynamic energy-balance model predicting gestational weight gain.

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3.  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
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4.  Metabolically active portion of fat-free mass: a cellular body composition level modeling analysis.

Authors:  ZiMian Wang; Stanley Heshka; Jack Wang; Dympna Gallagher; Paul Deurenberg; Zhao Chen; Steven B Heymsfield
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5.  Estimation of percentage body fat by dual-energy x-ray absorptiometry: evaluation by in vivo human elemental composition.

Authors:  ZiMian Wang; Steven B Heymsfield; Zhao Chen; Shankuan Zhu; Richard N Pierson
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6.  Compositional breast imaging using a dual-energy mammography protocol.

Authors:  Aurelie D Laidevant; Serghei Malkov; Chris I Flowers; Karla Kerlikowske; John A Shepherd
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

7.  A computational model to determine energy intake during weight loss.

Authors:  Diana M Thomas; Dale A Schoeller; Leanne A Redman; Corby K Martin; James A Levine; Steven B Heymsfield
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Review 8.  Body composition of spinal cord injured adults.

Authors:  P Kocina
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9.  A Simple Model Predicting Individual Weight Change in Humans.

Authors:  Diana M Thomas; Corby K Martin; Steven Heymsfield; Leanne M Redman; Dale A Schoeller; James A Levine
Journal:  J Biol Dyn       Date:  2011-11       Impact factor: 2.179

Review 10.  A PRISMA-driven systematic review of predictive equations for assessing fat and fat-free mass in healthy children and adolescents using multicomponent molecular models as the reference method.

Authors:  Analiza M Silva; David A Fields; Luís B Sardinha
Journal:  J Obes       Date:  2013-06-06
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