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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Common Prediction Equations Overestimate Measured Resting Metabolic Rate in Young Hispanic Women
Topics in clinical nutrition, v 28(2), pp 120-135
01 Apr 2013
PMID: 24058263
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The accuracy of 6 resting metabolic rate (RMR) prediction equations to indirect calorimetry was compared in 38 Hispanic women (age = 30 +/- 7 years; body mass index = 28.9 +/- 7.2 kg/m(2); body fat = 42% +/- 8%). Paired t tests examined differences between predicted and measured RMR; significance defined as P < 0.05. Bias and agreement were displayed using Bland-Altman plots. Accuracy was defined when the predicted RMR was +/- 10% of the measured RMR. Data were analyzed with SPSS (version 19). Only the equation of Owen et al was not significantly different from the measured RMR(1336 +/- 142 and 1322 +/- 203 kcal/d, respectively). The equation of Owen et al was accurate for 84.2% of women; RMR prediction equations had limited applicability for young Hispanic women.
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Details
- Title
- Common Prediction Equations Overestimate Measured Resting Metabolic Rate in Young Hispanic Women
- Creators
- Shirley Miller - Department of Nutrition, Food Studies, and Public Health, Steinhardt School of Culture, Education, and Human Development, New York University, New York (Ms Miller and Dr Woolf)Brandy-Joe Milliron - Wake Forest UniversityKathleen Woolf - Food and Nutrition Service
- Publication Details
- Topics in clinical nutrition, v 28(2), pp 120-135
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 16
- Grant note
- R25CA122061 / National Cancer Institute of the National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) R25CA122061 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Nutrition Sciences
- Web of Science ID
- WOS:000209552700003
- Scopus ID
- 2-s2.0-84877040155
- Other Identifier
- 991019186787204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Nutrition & Dietetics