Literature DB >> 7928901

Modification of a whole room indirect calorimeter for measurement of rapid changes in energy expenditure.

M Sun1, G W Reed, J O Hill.   

Abstract

Whole room indirect calorimeters are among the most accurate devices for measurement of human energy expenditure and have provided useful data about determinants of total daily energy expenditure. However, a limitation of whole room indirect calorimeters has been the inability to detect acute (usually < 10-15 min) changes in energy expenditure. This precludes using these devices to study the acute effects of food, drugs, or exercise on energy expenditure. We describe modifications made to our whole room indirect calorimeter (respiratory chamber) to allow accurate measurement of energy expenditure over time periods as short as 1 min. The modifications involve changes in the system design and use of signal processing techniques. With these modifications, we can measure energy expenditure in 1-min intervals throughout the day. This allows accurate study of the acute effects of food, exercise, or drugs on energy expenditure in subjects moving freely inside the respiratory chamber. The ability to use respiratory chambers for these types of studies should improve our understanding of how body weight is regulated.

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Year:  1994        PMID: 7928901     DOI: 10.1152/jappl.1994.76.6.2686

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  28 in total

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2.  Fatigability as a function of physical activity energy expenditure in older adults.

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3.  Effect of BMI on prediction of accelerometry-based energy expenditure in youth.

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4.  Energy expenditure of genuine laughter.

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5.  Distributed lag and spline modeling for predicting energy expenditure from accelerometry in youth.

Authors:  Leena Choi; Kong Y Chen; Sari A Acra; Maciej S Buchowski
Journal:  J Appl Physiol (1985)       Date:  2009-12-03

6.  Insulin resistance is not associated with thermogenic effect of a high-fat meal in obese children.

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7.  Validation of the ActiGraph two-regression model for predicting energy expenditure.

Authors:  Megan P Rothney; Robert J Brychta; Natalie N Meade; Kong Y Chen; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2010-09       Impact factor: 5.411

8.  Validation of accelerometer wear and nonwear time classification algorithm.

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Journal:  Med Sci Sports Exerc       Date:  2011-02       Impact factor: 5.411

9.  Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers.

Authors:  Megan P Rothney; Emily V Schaefer; Megan M Neumann; Leena Choi; Kong Y Chen
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10.  2009 Marshall Urist Young Investigator Award: how often do patients with high-flex total knee arthroplasty use high flexion?

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Journal:  Clin Orthop Relat Res       Date:  2009-05-07       Impact factor: 4.176

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