目的: 探讨不同体重指数(body mass index，BMI)青年男性静息能量消耗(resting energy expenditure，REE)的特点，比较常见静息代谢率(resting metabolic rate, RMR)预测方程与间接测热法的差异。方法: 以2017年12月至2021年6月于北京大学第三医院运动医学科进行静息代谢测试的30名青年男性为研究对象，采用间接测热法测定RMR，采用生物电阻抗法测定体成分。分析研究对象REE的特点，并与11个常见预测方程的推算值进行比较，通过配对t检验和组内相关系数(intra-class correlation coefficient，ICC)评估两者差异。结果: 30名青年男性的平均年龄为(26.93±4.16)岁，整体RMR为(1 960.17±463.11) kcal/d (1 kcal=4.186 8 kJ)，其中BMI正常者的RMR为(1 744.33±249.62) kcal/d，显著低于超重或肥胖者[(2 104.06±520.32) kcal/d](P < 0.01)，但体质量校正后，BMI正常者的RMR显著高于超重或肥胖者[(24.02±2.61) kcal/(kg·d) vs. (19.98±4.38) kcal/(kg·d)，P < 0.01]；不同BMI受试者的RMR与体质量、脂肪量、去脂体重、体表面积、细胞外液呈显著正相关(P均 < 0.05)。11个预测方程的预测值与实测值的一致性均不佳(ICC均 < 0.75)，其中，超重或肥胖青年男性采用世界卫生组织(World Health Organization, WHO)推荐使用的RMR预测方程的预测值与实测值的一致性相对较高(ICC=0.547，P < 0.01)。结论: 不同BMI青年男性的RMR存在显著差异，超重或肥胖者要考虑体质量矫正后的RMR情况。不同预测方程的预测值与RMR的实测值一致性较差，建议通过间接测热法准确测定RMR。对于超重和肥胖的青年男性可以考虑采用WHO推荐使用的预测方程计算RMR，但有必要建立适用于不同BMI人群的RMR预测方程。

Objective: To compare the resting energy expenditure (REE) characteristics among young men with different body mass indexes (BMI). Methods: Thirty young men [average age was (26.93±4.16) years] were enrolled in this study. They underwent resting metabolism tests in the Department of Sports Medicine of Peking University Third Hospital from December 2017 to June 2021. The resting metabolic rate (RMR) was measured by indirect calorimetry, the body composition was measured by bioresistance antibody component analyzer. The REE characteristics were analyzed, and 11 predictive equations were used to estimate RMR and compared with the measured value. The differences were analyzed by paired t-test and intra-class correlation coefficient (ICC). Results: The RMR of the overall 30 young men was (1 960.17±463.11) kcal/d (1 kcal=4.186 8 kJ). Including (1 744.33±249.62) kcal/d in those with normal BMI, which was significantly lower than that in those who were overweight or obese [(2 104.06± 520.32) kcal/d, P < 0.01], but the weight-corrected RMR in those with normal BMI was significantly higher than that in those who were overweight or obese [(24.02±2.61) kcal/(kg·d) vs. (19.98±4.38) kcal/(kg·d), P < 0.01]. The RMR was significantly and positively correlated with body weight, adiposity, lean body mass, body surface area, and extracellular fluid in the subjects with diffe-rent BMI (all P < 0.05). The predicted values of the 11 prediction equations were not in good agreement with the measured values (all ICC < 0.75), with relatively high agreement between the predicted and measured values of the World Health Organization (WHO) equation in overweight obese young men (ICC=0.547, P < 0.01). Conclusion: There were significant differences in RMR among young men with different BMI, and the RMR after weight correction should be considered for those who were overweight or obese. The consistency between the predicted values of different prediction equations and the actual measured values of RMR was relatively poor, and it is recommended to accurately measure RMR by indirect calorimetry. For overweight or obese young men, the WHO prediction equation can be considered to calculate RMR, but it is necessary to establish an RMR prediction equation applicable to different BMI populations.