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New equations to estimate resting energy expenditure in obese adults from body composition

机译:新方程来估算肥胖成年人的休息能源支出

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Abstract 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 2 ?=?0.79) and ( R 2 ?=?0.77). Group 2 ( n ?=?115) was used to generate ( R 2 ?=?0.85) and ( R 2 ?=?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.
机译:摘要旨在根据身体成分参数,开发用于预测肥胖意大利受试者的休息能源支出(REE)的新方程式;将它们与其他REE预测方程估计的预测值进行比较;并使用验证集合群体交叉验证我们的等式。方法注册四百名患者,分为三组。除了人体测量和REE(间接量热法)之外,通过双X射线吸收测定法评估总体脂肪和瘦,通过生物电阻抗分析进行脂肪质量和无脂肪块。结果有资格参与的受试者是330.第1组(N?=?174)用于开发(R 2?= 0.79)和(R 2?= 0.77)。第2组(N?=α115)用于产生(R 2?= 0.85)和(R 2?= 0.81)。第3组(n?=Δ41)用于交叉验证方程。结论方程式夹具夹子和图3是可靠的,以测量来自量热法的REE,而不是使用人类测量变量的其他方程式作为REE的预测因素。在临床实践中应用之前需要在不同群体中进一步分析。

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