Department of Dietetics and Bromatology, Wrocław Medical University, 50-367 Wrocław, Poland.
Statistical Analysis Centre, Wrocław Medical University, 50-367 Wrocław, Poland.
Int J Environ Res Public Health. 2023 Feb 27;20(5):4216. doi: 10.3390/ijerph20054216.
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.
静息代谢率(RMR)代表维持基本身体功能所需的能量。在饮食实践中,RMR 通过基于体重或去脂体重的预测方程来确定。我们的研究旨在评估用于估计 RMR 的预测方程是否是估计运动攀岩者能量需求的可靠工具。该研究包括 114 名运动攀岩者,他们的 RMR 使用 Fitmate WM 进行测量。使用 X-CONTACT 356 进行人体测量。通过间接测热法测量静息代谢率,并将其与基于体重/去脂体重的 14 个预测方程估算的 RMR 进行比较。除了女性组中的 De Lorenzo 方程外,所有方程都低估了男女攀岩者的 RMR。De Lorenzo 方程在两组中与 RMR 的相关性最高。Bland-Altman 检验的结果表明,对于男性和女性攀岩者中的大多数预测方程,随着新陈代谢的增加,测量误差也在增加。根据组内相关系数,所有方程的测量可靠性都较低。与间接测热法测量结果相比,没有一个研究中的预测方程表现出高度可靠性。需要开发一种高度可靠的预测方程来估计运动攀岩者的 RMR。