We sought to assess the accuracy of current or developing new prediction equations for resting metabolic rate (RMR) in adolescent athletes. RMR was assessed via indirect calorimetry, alongside known predictors (body composition via dual-energy X-ray absorptiometry, height, age, and sex) and hypothesized predictors (race and maturation status assessed via years to peak height velocity), in a diverse cohort of adolescent athletes (n = 126, 77% male, body mass = 72.8 ± 16.6 kg, height = 176.2 ± 10.5 cm, age = 16.5 ± 1.4 years). Predictive equations were produced and cross-validated using repeated k-fold cross-validation by stepwise multiple linear regression (10 folds, 100 repeats). Performance of the developed equations was compared with several published equations. Seven of the eight published equations examined performed poorly, underestimating RMR in >75% to >90% of cases. Root mean square error of the six equations ranged from 176 to 373, mean absolute error ranged from 115 to 373 kcal, and mean absolute error SD ranged from 103 to 185 kcal. Only the Schofield equation performed reasonably well, underestimating RMR in 51% of cases. A one- and two-compartment model were developed, both r² of .83, root mean square error of 147, and mean absolute error of 114 ± 26 and 117 ± 25 kcal for the one- and two-compartment model, respectively. Based on the models’ performance, as well as visual inspection of residual plots, the following model predicts RMR in adolescent athletes with better precision than previous models; RMR = 11.1 × body mass (kg) + 8.4 × height (cm) − (340 male or 537 female).

我们试图评估当前或正在开发的青少年运动员静息代谢率 (RMR) 预测方程的准确性。RMR 通过间接量热法以及已知预测因子（通过双能 X 射线吸收测定法、身高、年龄和性别的身体成分）和假设的预测因子（通过年到峰值身高速度评估的种族和成熟状态）在不同的队列中进行评估青少年运动员（n  = 126，77% 男性，体重 = 72.8 ± 16.6 kg，身高 = 176.2 ± 10.5 cm，年龄 = 16.5 ± 1.4 岁）。使用重复的k生成和交叉验证预测方程-通过逐步多元线性回归（10 折，100 次重复）进行折交叉验证。已开发方程的性能与几个已发表的方程进行了比较。八个已发表的方程式中有七个表现不佳，在> 75％至> 90％的情况下低估了RMR。六个方程的均方根误差范围为176~373，平均绝对误差范围为115~373 kcal，平均绝对误差SD范围为103~185 kcal。只有 Schofield 方程表现得相当好，在 51% 的情况下低估了 RMR。开发了单室和双室模型，均r ²一室和二室模型的均方根误差为 0.83，均方根误差为 147，平均绝对误差分别为 114 ± 26 和 117 ± 25 kcal。基于模型的性能以及残差图的视觉检查，以下模型预测青少年运动员的 RMR 比以前的模型具有更好的精度；RMR = 11.1 × 体重 (kg) + 8.4 × 身高 (cm) - (340 男性或 537 女性)。