基于身体成分估算肥胖成年人静息能量消耗的新方程。
New equations to estimate resting energy expenditure in obese adults from body composition.
机构信息
Section of Clinical Nutrition and Nutrigenomic, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Casa di Cura Madonna dello Scoglio, 88836, Cotronei (KR), Italy.
出版信息
Acta Diabetol. 2018 Jan;55(1):59-66. doi: 10.1007/s00592-017-1061-3. Epub 2017 Oct 30.
AIMS
The aims of this study were: to develop new equations for predicting resting energy expenditure (REE) in obese Italian subjects according to body composition parameters; to compare them with predicted values estimated by other REE prediction equations; and to cross-validate our equations using a validation set cohort.
METHODS
Four hundred patients were enrolled and divided into three groups. Besides anthropometry and REE (indirect calorimetry), total body fat and lean were evaluated by dual X-ray absorptiometry, and fat mass and fat-free mass by bioelectrical impedance analysis.
RESULTS
The subjects eligible to participate were 330. Group 1 (n = 174) was used to develop (R = 0.79) and (R = 0.77). Group 2 (n = 115) was used to generate (R = 0.85) and (R = 0.81). Group 3 (n = 41) was used to cross-validate the equations.
CONCLUSION
Equations 1 and 3 are reliable to measure REE from calorimetry and better than other equations that use anthropometric variables as predictors of REE. Further analysis in different populations is required before it can be applied in clinical practice.
目的
本研究旨在：根据体成分参数，为肥胖的意大利受试者制定预测静息能量消耗（REE）的新方程；将其与其他 REE 预测方程估算的预测值进行比较；并使用验证集队列对我们的方程进行交叉验证。
方法
共纳入 400 例患者，并将其分为 3 组。除人体测量学和 REE（间接测热法）外，全身脂肪和瘦组织通过双能 X 射线吸收法进行评估，脂肪量和去脂量通过生物电阻抗分析进行评估。
结果
符合条件的受试者为 330 例。第 1 组（n=174）用于开发（R=0.79）和（R=0.77）。第 2 组（n=115）用于生成（R=0.85）和（R=0.81）。第 3 组（n=41）用于对方程进行交叉验证。
结论
方程 1 和 3 可用于从测热法测量 REE，且优于使用人体测量变量作为 REE 预测因子的其他方程。在将其应用于临床实践之前，需要在不同人群中进行进一步分析。
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