Literature DB >> 20176519

The energetics of obesity: a review: monitoring energy intake and energy expenditure in humans.

Edward S Sazonov1, Stephanie Schuckers.   

Abstract

Writing about obesity research is a challenging task. While the rising obesity epidemic drastically raised public awareness of the problem, the causes behind the epidemic are still poorly understood. The etiology of obesity is a subject of ongoing scientific debate with widely varying views and strong opinions. Is it mostly genetic or environmental in nature? Is obesity caused by changes in our diet or changes in lifestyle and physical activity or both? Modern research literature quite often offers conflicting findings. Publications in popular media like the one in Time magazine add to the controversy by making quick and strongly worded summaries of academic research. Although the root causes of obesity remains a topic of active research, this review concentrates on the fundamental components of weight regulation in humans and their relative contribution to the energy equation. A better understanding of the energetics of obesity may provide some insight into the etiology of the obesity epidemic. The energetics of obesity also showcases an engineering challenge: development of techniques to accurately measure individual components of the energy equation.

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Year:  2010        PMID: 20176519     DOI: 10.1109/MEMB.2009.935470

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


  4 in total

1.  A new method for measuring meal intake in humans via automated wrist motion tracking.

Authors:  Yujie Dong; Adam Hoover; Jenna Scisco; Eric Muth
Journal:  Appl Psychophysiol Biofeedback       Date:  2012-04-10

2.  Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables.

Authors:  James Salley; Eric Muth; Adam Hoover
Journal:  IEEE J Biomed Health Inform       Date:  2016-09-21       Impact factor: 5.772

3.  Changes in body anthropometry and composition in obese adolescents in a lifestyle intervention program.

Authors:  Yi Ning; Shibing Yang; Ronald K Evans; Marilyn Stern; Shumei Sun; Gary L Francis; Edmond P Wickham
Journal:  Eur J Nutr       Date:  2013-11-10       Impact factor: 5.614

4.  Statistical models for meal-level estimation of mass and energy intake using features derived from video observation and a chewing sensor.

Authors:  Xin Yang; Abul Doulah; Muhammad Farooq; Jason Parton; Megan A McCrory; Janine A Higgins; Edward Sazonov
Journal:  Sci Rep       Date:  2019-01-10       Impact factor: 4.379

  4 in total

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