RT Journal Article
T1 Resting Energy Expenditure of Master Athletes: Accuracy of Predictive Equations and Primary Determinants.
A1 Frings-Meuthen, Petra
A1 Henkel, Sara
A1 Boschmann, Michael
A1 Chilibeck, Philip D
A1 Alvero Cruz, José Ramón
A1 Hoffmann, Fabian
A1 Möstl, Stefan
A1 Mittag, Uwe
A1 Mulder, Edwin
A1 Rittweger, Natia
A1 Sies, Wolfram
A1 Tanaka, Hirofumi
A1 Rittweger, Jörn
K1 body composition
K1 energy metabolism
K1 master athletes
K1 predictive equation
K1 resting energy expenditure
AB Resting energy expenditure (REE) is determined mainly by fat-free mass (FFM). FFM depends also on daily physical activity. REE normally decreases with increased age due to decreases in FFM and physical activity. Measuring REE is essential for estimating total energy expenditure. As such, there are a number of different equations in use to predict REE. In recent years, an increasing number of older adults continue to participate in competitive sports creating the surge of master athletes. It is currently unclear if these equations developed primarily for the general population are also valid for highly active, older master athletes. Therefore, we tested the validity of six commonly-used equations for predicting REE in master athletes. In conjunction with the World Masters Athletic Championship in Malaga, Spain, we measured REE in 113 master athletes by indirect calorimetry. The most commonly used equations to predict REE [Harris & Benedict (H&B), World Health Organization (WHO), Müller (MÜL), Müller-FFM (MÜL-FFM), Cunningham (CUN), and De Lorenzo (LOR)] were tested for their accuracies. The influences of age, sex, height, body weight, FFM, training hours per week, phase angle, ambient temperature, and athletic specialization on REE were determined. All estimated REEs for the general population differed significantly from the measured ones (H&B, WHO, MÜL, MÜL-FFM, CUN, all p
SN 1664-042X
YR 2021
FD 2021-03-22
LK http://hdl.handle.net/10668/17540
UL http://hdl.handle.net/10668/17540
LA en
DS RISalud
RD Apr 17, 2025