Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers

Anna Chmielewska (), Krzysztof Kujawa and Bożena Regulska-Ilow
Additional contact information
Anna Chmielewska: Department of Dietetics and Bromatology, Wrocław Medical University, 50-367 Wrocław, Poland
Krzysztof Kujawa: Statistical Analysis Centre, Wrocław Medical University, 50-367 Wrocław, Poland
Bożena Regulska-Ilow: Department of Dietetics and Bromatology, Wrocław Medical University, 50-367 Wrocław, Poland

IJERPH, 2023, vol. 20, issue 5, 1-13

Abstract: 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.

Keywords: basal metabolism; sport climbing; indirect calorimetry (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/20/5/4216/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/5/4216/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:20:y:2023:i:5:p:4216-:d:1081696

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().