Research Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia.
Grupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellín 050021, Colombia.
Nutrients. 2024 Sep 15;16(18):3121. doi: 10.3390/nu16183121.
Our study aimed to validate existing equations and develop the new NRG equation to estimate resting energy expenditure (REE) in the Colombian population with moderate-to-high physical activity levels. Upon satisfying the inclusion criteria, a total of 86 (43F, 43M) healthy adults (mean [SD]: 27.5 [7.7] years; 67.0 [13.8] kg) were evaluated for anthropometric variables and REE by indirect calorimetry using wearable gas analyzers (COSMED K4 and K5). Significant positive correlations with REE were found for body mass ( = 0.65), body mass-to-waist ( = 0.58), arm flexed and tensed girth ( = 0.66), corrected thigh girth ( = 0.56), corrected calf girth ( = 0.61), and sum of breadths (∑3D, = 0.59). As a novelty, this is the first time a significant correlation between REE and the sum of corrected girths (∑3CG, = 0.63) is reported. Although existing equations such as Harris-Benedict ( = 0.63), Mifflin-St. Jeor ( = 0.67), and WHO ( = 0.64) showed moderate-to-high correlations with REE, the Bland-Altman analysis revealed significant bias ( < 0.05), indicating that these equations may not be valid for the Colombian population. Thus, participants were randomly distributed into either the equation development group (EDG, = 71) or the validation group (VG, = 15). A new model was created using body mass, sum of skinfolds (∑8S), corrected thigh, corrected calf, and age as predictors ( = 0.755, R = 0.570, RMSE = 268.41 kcal). The new NRG equation to estimate REE (kcal) is: 386.256 + (24.309 × BM) - (2.402 × ∑8S) - (21.346 × Corrected Thigh) + (38.629 × Corrected Calf) - (7.417 × Age). Additionally, a simpler model was identified through Bayesian analysis, including only body mass and ∑8S ( = 0.724, R = 0.525, RMSE = 282.16 kcal). Although external validation is needed, our validation resulted in a moderate correlation and concordance (bias = 91.5 kcal) between measured and estimated REE values using the new NRG equation.
我们的研究旨在验证现有的方程，并开发新的 NRG 方程来估计中度至高度体力活动水平的哥伦比亚人群的静息能量消耗 (REE)。在满足纳入标准后，总共评估了 86 名（43 名女性，43 名男性）健康成年人（平均 [标准差]：27.5 [7.7] 岁；67.0 [13.8] 公斤）的人体测量变量和 REE，使用可穿戴气体分析仪（COSMED K4 和 K5）进行间接热量测定。REE 与体重呈显著正相关（ = 0.65），与腰臀比（ = 0.58）、手臂弯曲和紧张周长（ = 0.66）、校正大腿周长（ = 0.56）、校正小腿周长（ = 0.61）和周长总和（∑3D， = 0.59）。新颖的是，这是首次报道 REE 与校正周长总和（∑3CG， = 0.63）之间存在显著相关性。尽管现有的方程，如 Harris-Benedict（ = 0.63）、Mifflin-St. Jeor（ = 0.67）和世界卫生组织（ = 0.64）与 REE 显示出中等至高相关性，但 Bland-Altman 分析显示存在显著偏差（ < 0.05），表明这些方程可能不适用于哥伦比亚人群。因此，参与者被随机分配到方程开发组（EDG， = 71）或验证组（VG， = 15）。使用体重、皮褶总和（∑8S）、校正大腿、校正小腿和年龄作为预测因子创建了一个新模型（ = 0.755，R = 0.570，RMSE = 268.41 千卡）。新的 NRG 方程来估计 REE（千卡）是：386.256 + （24.309 × 体重）- （2.402 × ∑8S）- （21.346 × 校正大腿）+ （38.629 × 校正小腿）- （7.417 × 年龄）。此外，通过贝叶斯分析确定了一个更简单的模型，仅包括体重和∑8S（ = 0.724，R = 0.525，RMSE = 282.16 千卡）。虽然需要进行外部验证，但我们的验证结果表明，使用新的 NRG 方程测量和估计的 REE 值之间存在中度相关性和一致性（偏差 = 91.5 千卡）。
