Literature DB >> 20176521

Energy expenditure: measurement of human metabolism.

Robert Brychta1, Erica Wohlers, Jon Moon, Kong Chen.   

Abstract

Obesity is one of the most prevalent chronic diseases globally, especially in the United States. While the United States gained an early lead in unnecessary weight gain, most other countries are quickly closing the gap. The latest U.S. National Health and Nutrition Examination Survey (NHANES, http://www.cdc.gov/nchs/nhanes.htm) documents that about one third of adults in the United States are now overweight [a body-mass index (BMI) between 25 and 30 kg/m2] and another one third (61 million) are considered obese (BMI >30 kg/m2). Being obese is a strong risk factor for cardiovascular diseases, type 2 diabetes, osteoporosis, some cancers, and depression. The economic impact of this condition is staggering: in 2008, more than 147 billion dollars were spent just in the United States for medical costs related to obesity. Time lost from work and spending on weight loss costs even more.

Entities:  

Mesh:

Year:  2010        PMID: 20176521      PMCID: PMC6440543          DOI: 10.1109/MEMB.2009.935463

Source DB:  PubMed          Journal:  IEEE Eng Med Biol Mag        ISSN: 0739-5175


  6 in total

Review 1.  Measuring energy expenditure in clinical populations: rewards and challenges.

Authors:  T Psota; K Y Chen
Journal:  Eur J Clin Nutr       Date:  2013-02-27       Impact factor: 4.016

Review 2.  Analysis of energy metabolism in humans: A review of methodologies.

Authors:  Yan Y Lam; Eric Ravussin
Journal:  Mol Metab       Date:  2016-09-20       Impact factor: 7.422

3.  Instantaneous Metabolic Cost of Walking: Joint-Space Dynamic Model with Subject-Specific Heat Rate.

Authors:  Dustyn Roberts; Howard Hillstrom; Joo H Kim
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

4.  Assessment of energy expenditure during high intensity cycling and running using a heart rate and activity monitor in young active adults.

Authors:  Malgorzata Klass; Vitalie Faoro; Alain Carpentier
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

5.  Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking.

Authors:  Marleny M Arones; Mohammad S Shourijeh; Carolynn Patten; Benjamin J Fregly
Journal:  Front Bioeng Biotechnol       Date:  2020-11-26

6.  Intelligent predictor of energy expenditure with the use of patch-type sensor module.

Authors:  Meina Li; Keun-Chang Kwak; Youn-Tae Kim
Journal:  Sensors (Basel)       Date:  2012-10-25       Impact factor: 3.576

  6 in total

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