Literature DB >> 19103333

Assessing validity and reliability of resting metabolic rate in six gas analysis systems.

Jamie A Cooper1, Abigail C Watras, Matthew J O'Brien, Amy Luke, Jennifer R Dobratz, Carrie P Earthman, Dale A Schoeller.   

Abstract

The Deltatrac Metabolic Monitor (DTC) (VIASYS Healthcare Inc, SensorMedics, Yorba Linda, CA), one of the most popular indirect calorimetry systems for measuring resting metabolic rate (RMR) in human subjects, is no longer being manufactured. This study compared five different gas analysis systems to the DTC. RMR was measured by the DTC and at least one other instrument at three study sites for a total of 38 participants. The five indirect calorimetry systems included the MedGraphics CPX Ultima (Medical Graphics Corp, St Paul, MN), the MedGem (Microlife USA, Golden, CO), Vmax Encore 29 System (VIASYS Healthcare Inc, Yorba Linda, CA), the TrueOne 2400 (Parvo Medics, Sandy, UT), and the Korr ReeVue (Korr Medical Technologies, Salt Lake City, UT). Validity was assessed using paired t tests to compare means; reliability was assessed by using both paired t tests and root mean square calculations with F tests for significance. Within-subject comparisons for validity of RMR revealed a significant difference between the DTC and the Ultima system. Bland-Altman plot analysis showed significant bias with increasing RMR values for the Korr and MedGem systems. Respiratory exchange ratio (RER) analysis showed a significant difference between the DTC and the Ultima system and a trend for a difference with the Vmax system (P=0.09). Reliability assessment for RMR revealed that all instruments had a significantly larger coefficient of variation (CV) (ranging from 4.8% to 10.9%) for RMR compared to the 3.0% CV for the DTC. Reliability assessment for RER data showed none of the instrument CVs was significantly larger than the DTC CV. The results were quite disappointing because none of the instruments equaled the within-person reliability of the DTC. The TrueOne and Vmax systems were the most valid instruments in comparison with the DTC for both RMR and RER assessment. Further testing is needed to identify an instrument with the reliability and validity of the DTC.

Entities:  

Mesh:

Year:  2009        PMID: 19103333      PMCID: PMC2650235          DOI: 10.1016/j.jada.2008.10.004

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  9 in total

1.  A new hand-held indirect calorimeter to measure postprandial energy expenditure.

Authors:  Marie-Pierre St-Onge; Frederick Rubiano; Alfredo Jones; Steven B Heymsfield
Journal:  Obes Res       Date:  2004-04

2.  Comparison of two systems of measuring energy expenditure.

Authors:  Christina L Stewart; Cynthia M Goody; Richard Branson
Journal:  JPEN J Parenter Enteral Nutr       Date:  2005 May-Jun       Impact factor: 4.016

3.  Validity and reproducibility of resting metabolic rate measurements in rural Bangladeshi women: comparison of measurements obtained by Medgem and by Deltatrac device.

Authors:  D S Alam; P J M Hulshof; D Roordink; M Meltzer; M Yunus; M A Salam; J M A van Raaij
Journal:  Eur J Clin Nutr       Date:  2005-05       Impact factor: 4.016

4.  Accuracy and reliability of the ParvoMedics TrueOne 2400 and MedGraphics VO2000 metabolic systems.

Authors:  Scott E Crouter; Amanda Antczak; Jonathan R Hudak; Diane M DellaValle; Jere D Haas
Journal:  Eur J Appl Physiol       Date:  2006-08-03       Impact factor: 3.078

5.  New methods for calculating metabolic rate with special reference to protein metabolism.

Authors:  J B DE B WEIR
Journal:  J Physiol       Date:  1949-08       Impact factor: 5.182

6.  The agreement between the MedGem indirect calorimeter and a standard indirect calorimeter in anorexia nervosa.

Authors:  J Hlynsky; C L Birmingham; M Johnston; S Gritzner
Journal:  Eat Weight Disord       Date:  2005-12       Impact factor: 4.652

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Comparability of resting energy expenditure in Nigerians and U.S. blacks.

Authors:  A Luke; C N Rotimi; A A Adeyemo; R A Durazo-Arvizu; T E Prewitt; L Moragne-Kayser; R Harders; R S Cooper
Journal:  Obes Res       Date:  2000-08

9.  Energy requirements in the eighth decade of life.

Authors:  Stéphane Blanc; Dale A Schoeller; Douglas Bauer; Michelle E Danielson; Frances Tylavsky; Eleanor M Simonsick; Tamara B Harris; Stephen B Kritchevsky; James E Everhart
Journal:  Am J Clin Nutr       Date:  2004-02       Impact factor: 7.045

  9 in total
  66 in total

1.  Handheld calorimeter is a valid instrument to quantify resting energy expenditure in hospitalized cirrhotic patients: a prospective study.

Authors:  Cathy Glass; Peggy Hipskind; Denise Cole; Rocio Lopez; Srinivasan Dasarathy
Journal:  Nutr Clin Pract       Date:  2012-06-05       Impact factor: 3.080

2.  Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations.

Authors:  Sarah A Purcell; Sarah A Elliott; Peter J Walter; Tom Preston; Hongyi Cai; Richard J E Skipworth; Michael B Sawyer; Carla M Prado
Journal:  Am J Clin Nutr       Date:  2019-08-01       Impact factor: 7.045

3.  Energy expenditure and substrate oxidation during and after eccentric cycling.

Authors:  Luis Peñailillo; Anthony Blazevich; Kazunori Nosaka
Journal:  Eur J Appl Physiol       Date:  2014-01-05       Impact factor: 3.078

4.  Determining the Accuracy and Reliability of Indirect Calorimeters Utilizing the Methanol Combustion Technique.

Authors:  Sepideh Kaviani; Dale A Schoeller; Eric Ravussin; Edward L Melanson; Sarah T Henes; Lara R Dugas; Ronald E Dechert; George Mitri; Paul F M Schoffelen; Pim Gubbels; Asa Tornberg; Stephen Garland; Marco Akkermans; Jamie A Cooper
Journal:  Nutr Clin Pract       Date:  2018-04       Impact factor: 3.080

5.  Weight suppression and risk of future increases in body mass: effects of suppressed resting metabolic rate and energy expenditure.

Authors:  Eric Stice; Shelley Durant; Kyle S Burger; Dale A Schoeller
Journal:  Am J Clin Nutr       Date:  2011-04-27       Impact factor: 7.045

6.  Handheld Indirect Calorimetry as a Clinical Tool for Measuring Resting Energy Expenditure in Children with and without Obesity.

Authors:  David A White; Vincent S Staggs; Veronica Williams; Trent C Edwards; Robin Shook; Valentina Shakhnovich
Journal:  Child Obes       Date:  2019-03-19       Impact factor: 2.992

7.  Validation of an armband to measure daily energy expenditure in older adults.

Authors:  Dawn C Mackey; Todd M Manini; Dale A Schoeller; Annemarie Koster; Nancy W Glynn; Bret H Goodpaster; Suzanne Satterfield; Anne B Newman; Tamara B Harris; Steven R Cummings
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-07-06       Impact factor: 6.053

8.  Elevated energy intake is correlated with hyperresponsivity in attentional, gustatory, and reward brain regions while anticipating palatable food receipt.

Authors:  Kyle S Burger; Eric Stice
Journal:  Am J Clin Nutr       Date:  2013-04-17       Impact factor: 7.045

9.  Shorter sleep may be a risk factor for impaired bone mass accrual in childhood.

Authors:  Krista Casazza; Lynae J Hanks; Jose R Fernandez
Journal:  J Clin Densitom       Date:  2011 Oct-Dec       Impact factor: 2.617

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.