2009
DOI: 10.1097/tin.0b013e3181a6b98d
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A Resting Metabolic Rate Equation Including Bioelectrical Impedance– Derived Lean Body Mass Provides a Better Prediction in Premenopausal African American Women Across a Spectrum of Body Mass Indices

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Cited by 3 publications
(4 citation statements)
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“…Results of previous studies including racial/ethnic groups indicate that commonly used prediction equations may be limited in their generalizability 32-37 and indirect calorimetry remains the gold standard method to determine the RMR in clinical practice. 11 Unfortunately, elevated costs often associated with indirect calorimetry 11 may be prohibitive and clinicians may need to rely on prediction equations to estimate the RMR.…”
Section: Resultsmentioning
confidence: 99%
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“…Results of previous studies including racial/ethnic groups indicate that commonly used prediction equations may be limited in their generalizability 32-37 and indirect calorimetry remains the gold standard method to determine the RMR in clinical practice. 11 Unfortunately, elevated costs often associated with indirect calorimetry 11 may be prohibitive and clinicians may need to rely on prediction equations to estimate the RMR.…”
Section: Resultsmentioning
confidence: 99%
“…Studies 26-29 report a lower RMR among African American participants than among their non-Hispanic white counterparts. While the cause of this trend is unclear, validation studies 32,33 indicate that commonly used equations, such as those of Harris-Benedict, 32,33 FAO/WHO/UNU, 32 and Mifflin-St. Jeor, 32,33 may not be appropriate for RMR prediction in African Americans. However, Vander Weg et al 33 reported that the Owen et al equation predicted the RMR with appropriate accuracy for African American women; the same result was not observed for European participants.…”
Section: Discussionmentioning
confidence: 99%
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“… 3 Additionally, previous studies show that the predicted BMR equations derived from Caucasian subjects overestimated the BMR of the Asian subjects. 7 - 9 These prediction equations estimate BMR by incorporating the patient’s height, weight, gender and age, but not race.…”
Section: Introductionmentioning
confidence: 99%