Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers.

Int J Environ Res Public Health

Department of Dietetics and Bromatology, Wrocław Medical University, 50-367 Wrocław, Poland.

Published: February 2023

Resting metabolic rate (RMR) represents the energy required to maintain vital body functions. In dietary practice, RMR is determined by predictive equations on the basis of using body weight or fat-free mass. Our study aimed to assess whether predictive equations used to estimate RMR are reliable tools for estimating the energy requirements of sport climbers. The study included 114 sport climbers whose RMR was measured with a Fitmate WM. Anthropometric measurements were performed with X-CONTACT 356. The resting metabolic rate was measured by indirect calorimetry and was compared with the RMR estimated by 14 predictive equations on the basis of using body weight/fat-free mass. All equations underestimated RMR in male and female climbers, except for De Lorenzo's equation in the group of women. The De Lorenzo equation demonstrated the highest correlation with RMR in both groups. The results of the Bland-Altman tests revealed an increasing measurement error with increasing metabolism for most of the predictive equations in male and female climbers. All equations had low measurement reliability according to the intraclass correlation coefficient. Compared with the indirect calorimetry measurement results, none of the studied predictive equations demonstrated high reliability. There is a need to develop a highly reliable predictive equation to estimate RMR in sport climbers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001726PMC
http://dx.doi.org/10.3390/ijerph20054216DOI Listing

Publication Analysis

Top Keywords

predictive equations
20
sport climbers
16
resting metabolic
12
metabolic rate
12
equations
8
rmr
8
equations basis
8
basis body
8
estimate rmr
8
indirect calorimetry
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!