Comparison of handheld to metabolic cart indirect calorimetry for resting energy expenditure assessment in extremely obese women

Topics in Clinical Nutrition

Volumn 22, Issue 2, 2007, Pages 115-129

  Dobratz, Jennifer R ^a   Sibley, Shalamar D ^b   Beckman, Tiffany R ^b   Valentine, Bret J ^a   Kellogg, Todd A ^a   Ikramuddin, Sayeed ^a   Earthman, Carrie P ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

Energy expenditure; Handheld; Indirect calorimetry; Metabolism; Nutrition assessment; Obesity

Indexed keywords

ADULT; ARTICLE; CALORIMETRY; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; DEVICE; DIAGNOSTIC ACCURACY; ENERGY EXPENDITURE; FEMALE; HUMAN; OBESITY; PRIORITY JOURNAL; STUDENT T TEST;

EID: 34248352638     PISSN: 08835691     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.TIN.0000270131.48518.76     Document Type: Article

References (35)

1. Behavioral Risk Factor Surveillance System, Centers for Disease Control and Prevention. Obesity trends among U.S. adults. http://www.cdc.gov/nccdphp/ dnpa/obesity/trend/maps/. Accessed June 20, 2006.
2. Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999-2004. J Am Med Assoc. 2006;295:1549-1555.
3. Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. The disease burden associated with overweight and obesity. J Am Med Assoc. 1999;282:1523-1529.
4. Carey DG, Pliego GJ, Raymond RL, Skau KB. Body composition and metabolic changes following bariatric surgery: effects on fat mass, lean mass and basal metabolic rate. Obes Surg. 2006;16:469-477.
5. Ainslie P, Reilly T, Westerterp K. Estimating human energy expenditure: a review of techniques with particular reference to doubly labelled water. Sports Med. 2003;33:683-698.
6. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. 1949;109:1-9.
7. Headley JM. Indirect calorimetry: a trend toward continuous metabolic assessment. AACN Clin Issues. 2003;14:155-167; quiz 266.
8. Compher C, Frankenfield D, Keim N, Roth-Yousey L. Evidence analysis working group. Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J Am Diet Assoc. 2006;106:881-903.
9. Harris JA, Benedict FG, eds. A Biometric Study of Basal Metabolism in Man. Washington, DC: Carnegie Institute of Washington; 1919. Publication No. 279.
10. Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51:241-247.
11. Holdy K. Monitoring energy metabolism with indirect calorimetry: instruments, interpretation, and clinical application. Nutr Clin Pract. 2004;19:447-454.
12. Martin K, Wallace P, Rust PF, Garvey WT. Estimation of resting energy expenditure considering effects of race and diabetes status. Diab Care. 2004;27:1405-1411.
13. Solomon SJ, Kurzer MS, Calloway DH. Menstrual cycle and basal metabolic rate in women. Am J Clin Nutr. 1982;36:611-616.
14. Henry CJ, Lightowler HJ, Marchini J. Intra-individual variation in resting metabolic rate during the menstrual cycle. Br J Nutr. 2003;89:811-817.
15. Bernstein RS, Thornton JC, Yang MU, et al. Prediction of the resting metabolic rate in obese patients. Am J Clin Nutr. 1983;37:595-602.
16. Cunningham JJ. A reanalysis of the factors influencing basal metabolic rate in normal adults. Am J Clin Nutr. 1980;33:2372-2374.
17. Nelson KM, Weinsier RL, Long CL, Schutz Y. Prediction of resting energy expenditure from fat-free mass and fat mass. Am J Clin Nutr. 1992;56:848-856.
18. Johnstone AM, Murison SD, Duncan JS, Rance KA, Speakman JR. Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine. Am J Clin Nutr. 2005;82:941-948.
19. Food and Agricultural Organization/World Health Organization/United Nations University. Energy and Protein Requirement. Geneva, Switzerland: WHO; 1985.
20. Ireton-Jones CS, Turner WW, Jr. Actual or ideal body weight: which should be used to predict energy expenditure? J Am Diet Assoc. 1991;91:193-195.
21. Owen OE, Kavle E, Owen RS, et al. A reappraisal of caloric requirements in healthy women. Am J Clin Nutr. 1986;44:1-19.
22. Stewart CL, Goody CM, Branson R. Comparison of two systems of measuring energy expenditure. J Parenter Enteral Nutr. 2005;29:212-217.
23. St-Onge MP, Rubiano F, Jones A, Jr, Heymsfield SB. A new hand-held indirect calorimeter to measure postprandial energy expenditure. Obes Res. 2004;12:704-709.
24. Alam DS, Hulshof PJ, Roordink D, et al. Validity and reproducibility of resting metabolic rate measurements in rural Bangladeshi women: comparison of measurements obtained by MedGem and by Deltatrac device. Eur J Clin Nutr. 2005;59:651-657.
25. Compher C, Hise M, Sternberg A, Kinosian BP. Comparison between Medgem and Deltatrac resting metabolic rate measurements. Eur J Clin Nutr. 2005;59:1136-1141.
26. Melanson EL, Coelho LB, Tran ZV, Haugen HA, Kearney JT, Hill JO. Validation of the BodyGem hand-held calorimeter. Int J Obes Relat Metab Disord. 2004;28:1479-1484.
27. Nieman DC, Trone GA, Austin MD. A new handheld device for measuring resting metabolic rate and oxygen consumption. J Am Diet Assoc. 2003;103:588-592.
28. Reeves MM, Capra S, Bauer J, Davies PS, Battistutta D. Clinical accuracy of the MedGem indirect calorimeter for measuring resting energy expenditure in cancer patients. Eur J Clin Nutr. 2005;59:603-610.
29. Rubenbauer JR, Johannsen DL, Baier SM, Litchfield R, Flakoll PJ. The use of a handheld calorimetry unit to estimate energy expenditure during different physiological conditions. J Parenter Enteral Nutr. 2006;30:246-250.
30. Moore DS, McCabe GP. Introduction to the Practice of Statistics. 4th ed. New York: WH Freeman & Co; 2003.
31. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-310.
32. da Rocha EE, Alves VG, da Fonseca RB. Indirect calorimetry: methodology, instruments and clinical application. Curr Opin Clin Nutr Metab Care. 2006;9:247-256.
33. Scott CB. Resting metabolic rate variability as influenced by mouthpiece and noseclip practice procedures. J Burn Care Rehabil. 1993;14:573-577.
34. Kobar S, Francis CC, MaWhinney S, Sharp T. Effect of acclimation on resting energy expenditure measurements. Nutr Clin Pract. 2003;18:417-421.
35. Mansell PI, Macdonald IA. Reappraisal of the Weir equation for calculation of metabolic rate. Am J Physiol. 1990;258:R1347-R1354.