Literature DB >> 10793646

Energy metabolism and obesity.

M I Goran1.   

Abstract

Over the long-term, most adult humans are able to maintain body energy stores through the process of energy balance, which regulates how much energy is consumed to match how much energy is expended. Energy expenditure is required for resting metabolic rate to maintain basic physiologic functions (e.g., heart beat, muscle function, respiration) and metabolize, digest, and store food that is consumed as well as for physical activity. Resting metabolic rate is the largest component of daily energy expenditure, and physical activity-related energy expenditure is the most variable. Cross-sectional studies in children and adults have shown that energy expenditure, including physical activity-related energy expenditure, are similar in lean versus obese subjects, especially after controlling for differences in body composition. A major limitation for most studies that have examined the role of energy expenditure in the cause of obesity is their cross-sectional design. Some longitudinal studies support the idea that reduced energy expenditure is a risk factor for the development of obesity, but most do not. There are several possibilities that could account for such discrepant findings. First, the ambiguous findings in the literature might be explained by the possibility that differences in energy expenditure and physical activity and their impact on the development of obesity are different at the various stages of maturation. Second, there could be individual differences in the impact of altered energy expenditure on the regulation of energy balance. The impact of energy expenditure on the cause of obesity could vary among different subgroups of the population (e.g., boys versus girls and different ethnic groups) and could have a differential effect within individuals at different stages of development. A specific example is the lower energy expenditure in Pima Indians, which predisposes to increased risk of obesity. It remains to be seen whether the lower metabolic rates that have been observed in African-Americans will relate to subsequent weight gain. It is conceivable that susceptible individuals fail to compensate for periodic fluctuations in energy expenditure. Third, given that obesity can arise as a result of a small energy balance over time, it is unlikely that existing techniques are capable of measuring such small differences. Finally, it can be argued that a focus on energy metabolism as a possible explanation of obesity is unlikely to yield interesting information because of the wide range in energy expenditure in the population even after adjusting for body composition. The major dependent variable that needs to be examined in relation to the cause of obesity is not energy expenditure but change in energy balance over time and the ability to regulate body energy stores. Given that the sudden change in obesity prevalence has occurred during a time of rapid environmental and cultural changes, additional focus on the behavioral and environmental effects on regulation of energy balance is warranted.

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Year:  2000        PMID: 10793646     DOI: 10.1016/s0025-7125(05)70225-x

Source DB:  PubMed          Journal:  Med Clin North Am        ISSN: 0025-7125            Impact factor:   5.456


  20 in total

1.  No effect of adjunctive, repeated dose intranasal insulin treatment on body metabolism in patients with schizophrenia.

Authors:  Jie Li; Xue Li; Emily Liu; Paul Copeland; Oliver Freudenreich; Donald C Goff; David C Henderson; Xueqin Song; Xiaoduo Fan
Journal:  Schizophr Res       Date:  2013-02-21       Impact factor: 4.939

2.  Change of sex gaps in total and cause-specific mortality over the life span in the United States.

Authors:  Yang Yang; Michael Kozloski
Journal:  Ann Epidemiol       Date:  2011-11-18       Impact factor: 3.797

3.  Sex differences in age trajectories of physiological dysregulation: inflammation, metabolic syndrome, and allostatic load.

Authors:  Yang Yang; Michael Kozloski
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-02-24       Impact factor: 6.053

4.  Determinants of resting energy expenditure in obese and non-obese children and adolescents.

Authors:  G Rodríguez; L A Moreno; A Sarría; I Pineda; J Fleta; J M Pérez-González; M Bueno
Journal:  J Physiol Biochem       Date:  2002-03       Impact factor: 4.158

5.  Misreporting of energy intake in the elderly using doubly labeled water to measure total energy expenditure and weight change.

Authors:  Danit R Shahar; Binbing Yu; Denise K Houston; Stephen B Kritchevsky; Anne B Newman; Deborah E Sellmeyer; Frances A Tylavsky; Jung Sun Lee; Tamara B Harris
Journal:  J Am Coll Nutr       Date:  2010-02       Impact factor: 3.169

6.  Association between sleep duration and weight gain and incident overweight/obesity: longitudinal analyses from the China Health and Nutrition Survey.

Authors:  Xufang Huang; Wenlei Xu; Ruikun Chen; Yuxin Jiang; Jingwei Li; Shaoyong Xu
Journal:  Sleep Breath       Date:  2020-09-22       Impact factor: 2.816

7.  Objective and subjective measurement of energy expenditure in older adults: a doubly labeled water study.

Authors:  M A Calabro; Y Kim; W D Franke; J M Stewart; G J Welk
Journal:  Eur J Clin Nutr       Date:  2014-11-05       Impact factor: 4.016

8.  Network-Based Association Study of Obesity and Type 2 Diabetes with Gene Expression Profiles.

Authors:  Siyi Zhang; Bo Wang; Jingsong Shi; Jing Li
Journal:  Biomed Res Int       Date:  2015-07-27       Impact factor: 3.411

9.  Comparison of predictive equations for resting energy expenditure among patients with schizophrenia in Japan.

Authors:  Norio Sugawara; Norio Yasui-Furukori; Tetsu Tomita; Hanako Furukori; Kazutoshi Kubo; Taku Nakagami; Sunao Kaneko
Journal:  Neuropsychiatr Dis Treat       Date:  2014-02-28       Impact factor: 2.570

10.  The carbohydrate sensitive rat as a model of obesity.

Authors:  Nachiket A Nadkarni; Catherine Chaumontet; Dalila Azzout-Marniche; Julien Piedcoq; Gilles Fromentin; Daniel Tomé; Patrick C Even
Journal:  PLoS One       Date:  2013-07-30       Impact factor: 3.240

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