Literature DB >> 20132585

Mathematical modelling of energy expenditure during tissue deposition.

Kevin D Hall1.   

Abstract

Predicting the magnitude and rate of weight gain for a given increase of energy intake requires a model of whole-body energy expenditure that includes the energy cost of tissue deposition. Here, I introduce a mathematical framework for modelling energy expenditure that elucidates conceptual problems with the classical Kielanowski method for estimating the efficiencies of body fat and protein deposition. An alternative approach uses the theoretical biochemical efficiencies for protein and fat synthesis in combination with models of energy expenditure that include body fat and protein turnover costs. I illustrate this alternative approach using a simple mathematical model applied to previously published data from growing rats and human infants and compare the simple model results with the classical Kielanowski model. While both models fit the data reasonably well (R2>0.87 in rats and R2>0.67 in infants), the Kielanowski method resulted in parameter estimates that varied widely across experiments, had poor precision, and occasionally produced efficiency estimates greater than 1. In contrast, the new method provided precise parameter values and revealed consistencies across different experiments. The proposed mathematical framework has implications for interpreting studies of animal nutrition as well as providing a roadmap for future modelling efforts.

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Year:  2010        PMID: 20132585     DOI: 10.1017/S0007114510000206

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  17 in total

Review 1.  Simulation models of obesity: a review of the literature and implications for research and policy.

Authors:  D T Levy; P L Mabry; Y C Wang; S Gortmaker; T T-K Huang; T Marsh; M Moodie; B Swinburn
Journal:  Obes Rev       Date:  2010-10-26       Impact factor: 9.213

2.  A comparative analysis of the occupational energy expenditure of radiologists versus clinicians.

Authors:  I G Murphy; C G Murphy; E J Heffernan
Journal:  Ir J Med Sci       Date:  2014-10-24       Impact factor: 1.568

3.  Estimating changes in free-living energy intake and its confidence interval.

Authors:  Kevin D Hall; Carson C Chow
Journal:  Am J Clin Nutr       Date:  2011-05-11       Impact factor: 7.045

4.  Estimating human energy intake using mathematical models.

Authors:  Kevin D Hall
Journal:  Am J Clin Nutr       Date:  2014-07-30       Impact factor: 7.045

5.  Quantification of the effect of energy imbalance on bodyweight.

Authors:  Kevin D Hall; Gary Sacks; Dhruva Chandramohan; Carson C Chow; Y Claire Wang; Steven L Gortmaker; Boyd A Swinburn
Journal:  Lancet       Date:  2011-08-27       Impact factor: 79.321

6.  A modeling approach for compounds affecting body composition.

Authors:  Peter Gennemark; Rasmus Jansson-Löfmark; Gina Hyberg; Maria Wigstrand; Dorota Kakol-Palm; Pernilla Håkansson; Daniel Hovdal; Peter Brodin; Maria Fritsch-Fredin; Madeleine Antonsson; Karolina Ploj; Johan Gabrielsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-10-25       Impact factor: 2.745

7.  Short and long-term energy intake patterns and their implications for human body weight regulation.

Authors:  Carson C Chow; Kevin D Hall
Journal:  Physiol Behav       Date:  2014-02-28

8.  Individual differences in the forced swimming test and neurochemical kinetics in the rat brain.

Authors:  Andrey Sequeira-Cordero; Andrea Mora-Gallegos; Patricia Cuenca-Berger; Jaime Fornaguera-Trías
Journal:  Physiol Behav       Date:  2014-02-08

9.  Ethnic differences in the accumulation of fat and lean mass in late gestation.

Authors:  Michelle Lampl; Wesley Lee; Winston Koo; Edward A Frongillo; David J P Barker; Roberto Romero
Journal:  Am J Hum Biol       Date:  2012-05-07       Impact factor: 1.937

10.  The progressive increase of food waste in America and its environmental impact.

Authors:  Kevin D Hall; Juen Guo; Michael Dore; Carson C Chow
Journal:  PLoS One       Date:  2009-11-25       Impact factor: 3.240

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