The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Validation of several established equations for resting metabolic rate in obese and nonobese people
Abstract
Objective To evaluate several equations for predicting resting metabolic rate against measured values in obese and nonobese people. Design Resting metabolic rate was measured with indirect calorimetry. Four calculation standards using various combinations of weight, height, and age were used to predict resting metabolic rate: a) Harris-Benedict equation, b) Harris-Benedict equation using adjusted body weight in obese individuals, c) Owen, and d) Mifflin. Main outcome was percentage of subjects whose calculated metabolic rate was outside a +/-10% limit from measured values. Subjects/Setting 130 nonhospitalized adult volunteers grouped by degree of obesity (range of body mass index, 18.8 to 96.8). Statistical Analysis Performed Analysis of proportions was used to determine differences in the percentage of subjects estimated accurately by each equation; alpha was set at 0.05. Results Calculated resting metabolic rate was more than 10% different from measured in 22% of subjects using the Mifflin equation, 33% using the Harris-Benedict equation (P=.05 vs Mifflin), and 35% using the Owen equation (P Applications/conclusion Of the calculation standards tested, the Mifflin standard provided an accurate estimate of actual resting metabolic rate in the largest percentage of nonobese and obese individuals and therefore deserves consideration as the standard for calculating resting metabolic rate in obese and nonobese adults. Use of adjusted body weight in the Harris-Benedict equation le…
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The Mifflin-St. Jeor equations that the Fitbit Surge relies on include height, weight, and age in their calculation of kilocalorie expenditure, while the authors' model only considers weight.
“The Mifflin-St. Jeor equations that the Fitbit® Surge relies on include height, weight, and age in their calculation of kilocalorie expenditure [19,20] while our model only considers weight.”
From Testing least cost path (LCP) models for travel time and kilocalorie expenditure: Implications for landscape genomics (2020) · cites this paper as [20]
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A new predictive equation for resting energy expenditure in healthy individuals
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Outcomes of a weight loss intervention among rural breast cancer survivors
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Metadata
- Authors
- Frankenfield, D. C., Rowe, W. A., Smith, J. S., & Cooney, R. N.
- Venue
- Journal of the American Dietetic Association
- Publisher
- Elsevier BV
- Published
- 2003-09
- Volume
- 103
- Issue
- 9
- Pages
- 1152-1159
- ISSN
- 0002-8223
- Cited by
- 237
- References
- 2
- Language
- en
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