Literature DB >> 11568500

Comparing energy expenditure data among individuals differing in body size and composition: statistical and physiological considerations.

M J Toth1.   

Abstract

Acute and chronic diseases are frequently characterized by alterations in energy metabolism that influence nutritional requirements and clinical care. Knowledge of the effect of disease on daily energy expenditure and its components is fundamental to understanding the impact of the disease process on energy balance. To obtain this information, energy expenditure data are often compared between healthy and diseased individuals. This review focuses on the statistical and physiological issues related to comparing energy expenditure data among individuals who differ in body size and composition.

Mesh：

Year:  2001        PMID： 11568500     DOI： 10.1097/00075197-200109000-00009

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN： 1363-1950            Impact factor:   4.294


  6 in total

1.  Increased energy expenditure and leptin sensitivity account for low fat mass in myostatin-deficient mice.

Authors:  Sun Ju Choi; Zipora Yablonka-Reuveni; Karl J Kaiyala; Kayoko Ogimoto; Michael W Schwartz; Brent E Wisse
Journal:  Am J Physiol Endocrinol Metab       Date:  2011-03-22       Impact factor: 4.310

2.  Identification of body fat mass as a major determinant of metabolic rate in mice.

Authors:  Karl J Kaiyala; Gregory J Morton; Brian G Leroux; Kayoko Ogimoto; Brent Wisse; Michael W Schwartz
Journal:  Diabetes       Date:  2010-04-22       Impact factor: 9.461

3.  Receptors for tumor necrosis factor-alpha play a protective role against obesity and alter adipose tissue macrophage status.

Authors:  Nathalie Pamir; Timothy S McMillen; Karl J Kaiyala; Michael W Schwartz; Renée C LeBoeuf
Journal:  Endocrinology       Date:  2009-05-28       Impact factor: 4.736

4.  Increasing overall physical activity and aerobic fitness is associated with improvements in metabolic risk: cohort analysis of the ProActive trial.

Authors:  R K Simmons; S J Griffin; R Steele; N J Wareham; U Ekelund
Journal:  Diabetologia       Date:  2008-03-04       Impact factor: 10.122

5.  Comment on: Kaiyala et al. (2010) Identification of body fat mass as a major determinant of metabolic rate in mice. Diabetes;59:1657-1666.

Authors:  Paul S MacLean
Journal:  Diabetes       Date:  2011-01       Impact factor: 9.461

6.  TGF-b superfamily cytokine MIC-1/GDF15 is a physiological appetite and body weight regulator.

Authors:  Vicky Wang-Wei Tsai; Laurence Macia; Heiko Johnen; Tamara Kuffner; Rakesh Manadhar; Sebastian Beck Jørgensen; Ka Ki Michelle Lee-Ng; Hong Ping Zhang; Liyun Wu; Christopher Peter Marquis; Lele Jiang; Yasmin Husaini; Shu Lin; Herbert Herzog; David A Brown; Amanda Sainsbury; Samuel N Breit
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240
  6 in total

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