Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults
Metadatos
Mostrar el registro completo del ítemAutor
Amaro Gahete, Francisco José; Jurado Fasoli, Lucas; De la O Puerta, Alejandro; Gutiérrez Sáinz, Ángel; Castillo, Manuel J.; Ruiz Ruiz, JonatanEditorial
MDPI
Materia
Metabolic rate Basal metabolism Indirect calorimetry Energy balance Obesity
Fecha
2018-11-02Referencia bibliográfica
Amaro-Gahete, F.J. [et al.]. Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults. Nutrients 2018, 10, 1635.
Patrocinador
The study was supported by the Spanish Ministry of Education (FPU14/04172 and FPU15/03960) and by University of Granada; Plan Propio de Investigación 2016, Excellence actions: Units of Excellence; Unit of Excellence on Exercise and Health (UCEES).Resumen
Indirect calorimetry (IC) is considered the reference method to determine the resting
energy expenditure (REE), but its use in a clinical context is limited. Alternatively, there is a
number of REE predictive equations to estimate the REE. However, it has been shown that
the available REE predictive equations could either overestimate or underestimate the REE as
measured by IC. Moreover, the role of the weight status in the accuracy and validity of the
REE predictive equations requires further attention. Therefore, this study aimed to determine
the accuracy and validity of REE predictive equations in normal-weight, overweight, and obese
sedentary middle-aged adults. A total of 73 sedentary middle-aged adults (53% women, 40–65 years
old) participated in the study. We measured REE by indirect calorimetry, strictly following the
standard procedures, and we compared it with the values obtained from 33 predictive equations.
The most accurate predictive equations in middle-aged sedentary adults were: (i) the equation of
FAO/WHO/UNU in normal-weight individuals (50.0% of prediction accuracy), (ii) the equation
of Livingston in overweight individuals (46.9% of prediction accuracy), and (iii) the equation of
Owen in individuals with obesity (52.9% of prediction accuracy). Our study shows that the weight
status plays an important role in the accuracy and validity of different REE predictive equations in
middle-aged adults.