ArticleNutrients2019
Congruent Validity of Resting Energy Expenditure Predictive Equations in Young Adults.
Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The trial behind it
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Who cites it
15 citing papers in PubMed, 36 citations in OpenAlex.
- Trial
- Energy expenditure differences across lying, sitting, and standing positions in young healthy adults.PloS one · 2019Trial
- The interplay of night eating syndrome with resting metabolic rate, anthropometric measures, and sleep quality in normal-weight female university students: a case-control study.Journal of eating disorders · 2026Article
- Sum of Skinfold-Corrected Girths Correlates with Resting Energy Expenditure: Development of the NRGNutrients · 2024Article
- Validity of predictive equations for total energy expenditure against doubly labeled water.Scientific reports · 2024Article
- Multiple factor assessment for determining resting metabolic rate in young adults.Scientific reports · 2024Article
- Article
- High resting energy expenditure in women with episodic migraine: exploring the use of predictive formulas.Frontiers in nutrition · 2023Article
- Using measured resting metabolic rate to derive calorie prescriptions in a behavioral weight loss program.Obesity science & practice · 2021Article
- Article
- Resting Energy Expenditure of Master Athletes: Accuracy of Predictive Equations and Primary Determinants.Frontiers in physiology · 2021Article
- Resting Energy Expenditure during Breastfeeding: Body Composition Analysis vs. Predictive Equations Based on Anthropometric Parameters.Nutrients · 2020Article
- Article
- Association between sleep quality and time with energy metabolism in sedentary adults.Scientific reports · 2020Article
- Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
Having valid and reliable resting energy expenditure (REE) estimations is crucial to establish reachable goals for dietary and exercise interventions. However, most of the REE predictive equations were developed some time ago and, as the body composition of the current population has changed, it is highly relevant to assess the validity of REE predictive equations in contemporary young adults. In addition, little is known about the role of sex and weight status on the validity of these predictive equations. Therefore, this study aimed to investigate the role of sex and weight status in congruent validity of REE predictive equations in young adults. A total of 132 young healthy adults (67.4% women, 18⁻26 years old) participated in the study. We measured REE by indirect calorimetry strictly following the standard procedures, and we compared it to 45 predictive equations. The most accurate equations were the following: (i) the Schofield and the "Food and Agriculture Organization of the United Nations/World Health Organization/United Nations" (FAO/WHO/UNU) equations in normal weight men; (ii) the Mifflin and FAO/WHO/UNU equations in normal weight women; (iii) the Livingston and Korth equations in overweight men; (iv) the Johnstone and Frankenfield equations in overweight women; (v) the Owen and Bernstein equations in obese men; and (vi) the Owen equation in obese women. In conclusion, the results of this study show that the best equation to estimate REE depends on sex and weight status in young healthy adults.
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Registered trials
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