Resting metabolic rate (RMR) of recreational female CrossFit® practitioners: Agreement between indirect calorimetry and predictive equations and correlation between RMR ratio and metabolic hormone levels
Resting metabolic rate ratio (RMR ratio ) is calculated dividing the RMR from indirect calorimetry (RMR IC ) by the RMR estimate by equations (RMR e ). RMR ratio is a tool for energy suppression assessment and it can be useful in situations of low energy availability. To date, predictive equations have not been evaluated regarding their agreement with RMR of female CrossFit® practitioners. As such, we aimed to verify the agreement between RMR IC and RMR e and its correlation with metabolic hormones. This was a cross-sectional study with nonprobability sampling. Participants (healthy women aged 18–39 years, with at least 1 year of regular CrossFit® training experience) visited the laboratory once for blood collection and nutritional, body composition, and RMR assessment. RMR IC was estimated using K5; COSMED®. We evaluated its agreement with the RMR estimated by several equations. Then, for each predictive equation, the RMR ratio was calculated. We assessed triiodothyronine (TT 3 ), leptin, and insulin-like growth factor (IGF-1) levels. The Bland–Altman method was used to identify the agreement between the RMR IC and the RMR e . Thirty female recreational CrossFit® practitioners (33.11 ± 5.23 y) were assessed. The Cunningham (1980) equation was the one that most agreed with the RMR IC . Still, RMR IC did not differ when compared to TT 3 (p = 0.470), leptin (p = 0.848), and IGF-1 (p = 0.634) levels. Likewise, we found no differences when RMR ratio was compared by the median and tertiles of hormones. In summary, our findings revealed that the RMR e showed low agreement with the RMR IC . Besides, the RMR ratio did not differ according to the hormones TT 3 , leptin, and IGF-1 of female recreational CrossFit® practitioners. • Available prediction equations showed poor agreement with RMR IC of recreational female CrossFit® practitioners. • The equations that closely aligned with the RMR IC were those of Cunningham 1980 and Watson et al. (2019). • The RMR ratio was not correlated with TT 3 , leptin, and IGF-1 levels.
Authors
- Fernanda Patti Nakamoto
- Marcus Vinicius Lúcio dos Santos Quaresma (ORCID: https://orcid.org/0000-0002-3919-0775)
- Cristiano Santos (ORCID: https://orcid.org/0000-0002-9972-5583)
- Leonardo Azevedo Mobília Alvares (ORCID: https://orcid.org/0000-0003-3158-2077)
- Raphael Einsfeld Simões Ferreira (ORCID: https://orcid.org/0000-0002-1167-142X)
- Ronaldo Vagner Thomatieli dos Santos (ORCID: https://orcid.org/0000-0001-7010-2799)
- Bruno Brecaro
Publication Details
- Journal
- Human Nutrition & Metabolism
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.hnm.2025.200311
- Citations
- 1
- Primary Topic
- Muscle metabolism and nutrition
- Type
- article
- Field-Weighted Citation Impact
- 1.15