Interdisciplinary Obesity Center, Kantonsspital St. Gallen, CH-9400 Rorschach, Switzerland.
Metabolism. 2010 Aug;59(8):1181-9. doi: 10.1016/j.metabol.2009.11.011. Epub 2009 Dec 31.
The objective of the study was to evaluate the accuracy of established prediction equations that calculate resting energy expenditure (REE) in obese women. This was a cross-sectional study. In 273 mildly to severely obese women (age, 41.7 +/- 13.2 years; body mass index, 42.8 +/- 7.0 kg/m(2)), REE was measured by indirect calorimetry (mREE), along with fat mass (FM) and fat-free mass (FFM) by bioelectrical impedance analysis. Eleven established equations were used to predict REE (pREE), with 9 equations basing on the anthropometric parameters body weight and height and 2 equations including body composition parameters (FM, FFM). All equations provided pREE values that significantly correlated with mREE (r > 0.66, P < .001), although 8 equations systematically underestimated mREE (P < .05). Of note, even the best equation was not able to accurately predict mREE with a deviation of less than +/-10% in more than 70% of the tested women. Furthermore, equations using body composition data were not superior in predicting REE as compared with equations exclusively including anthropometric variables. Multiple linear regression analyses revealed 2 new equations--one including body weight and age and another including FM, FFM, and age--that explained 56.9% and 57.2%, respectively, of variance in mREE. However, when these 2 new equations were applied to an independent sample of 33 obese women, they also provided an accurate prediction (+/-10%) of mREE in only 56.7% and 60.6%, respectively, of the women. Data show that an accurate prediction of REE is not feasible using established equations in obese women. Equations that include body composition parameters as assessed by bioelectrical impedance analysis do not increase the accuracy of prediction. Based on our results, we conclude that calculating REE by standard prediction equations does not represent a reliable alternative to indirect calorimetry for the assessment of REE in obese women.
本研究旨在评估适用于肥胖女性的静息能量消耗(REE)预测公式的准确性。这是一项横断面研究。在 273 名轻度至重度肥胖女性(年龄 41.7±13.2 岁;体重指数 42.8±7.0kg/m²)中,通过间接热量测定法(mREE)测量 REE,同时通过生物电阻抗分析测量脂肪量(FM)和去脂体重(FFM)。使用 11 种已建立的公式来预测 REE(pREE),其中 9 种公式基于体重和身高的人体测量学参数,2 种公式包括身体成分参数(FM、FFM)。所有公式提供的 pREE 值与 mREE 显著相关(r>0.66,P<0.001),尽管 8 种公式系统地低估了 mREE(P<0.05)。值得注意的是,即使是最好的公式也无法在超过 70%的测试女性中准确预测 mREE,偏差小于±10%。此外,与仅包含人体测量学变量的公式相比,使用身体成分数据的公式在预测 REE 方面并没有优势。多元线性回归分析显示,2 个新公式——一个包含体重和年龄,另一个包含 FM、FFM 和年龄——分别解释了 mREE 方差的 56.9%和 57.2%。然而,当将这 2 个新公式应用于 33 名肥胖女性的独立样本时,它们在仅 56.7%和 60.6%的女性中也提供了 mREE 的准确预测(±10%)。数据表明,使用已建立的公式无法准确预测肥胖女性的 REE。使用生物电阻抗分析评估的身体成分参数的公式并不能提高预测的准确性。基于我们的结果,我们得出结论,使用标准预测公式计算 REE 并不能替代间接热量法来评估肥胖女性的 REE。