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A novel approach to calculating the thermic effect of food in a metabolic chamber

机译:一种计算代谢室内食物热效应的新颖方法

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摘要

The thermic effect of food (TEF) is the well‐known concept in spite of its difficulty for measuring. The gold standard for evaluating the TEF is the difference in energy expenditure between fed and fasting states (ΔEE). Alternatively, energy expenditure at 0 activity (EE 0) is estimated from the intercept of the linear relationship between energy expenditure and physical activity to eliminate activity thermogenesis from the measurement, and the TEF is calculated as the difference between EE 0 and postabsorptive resting metabolic rate (RMR) or sleeping metabolic rate (SMR). However, the accuracy of the alternative methods has been questioned. To improve TEF estimation, we propose a novel method as our original TEF calculation method to calculate EE 0 using integrated physical activity over a specific time interval. We aimed to identify which alternative methods of TEF calculation returns reasonable estimates, that is, positive value as well as estimates close to ΔEE. Seven men participated in two sessions (with and without breakfast) of whole‐body indirect calorimetry, and physical activity was monitored with a triaxial accelerometer. Estimates of TEF by three simplified methods were compared to ΔEE. ΔEE, style="fixed-case"> EE 0 above style="fixed-case">SMR, and our original method returned positive values for the style="fixed-case">TEF after breakfast in all measurements. style="fixed-case">TEF estimates of our original method was indistinguishable from those based on the Δ style="fixed-case">EE, whereas those as style="fixed-case">EE 0 above style="fixed-case">RMR and style="fixed-case">EE 0 above style="fixed-case">SMR were slightly lower and higher, respectively. Our original method was the best among the three simplified style="fixed-case">TEF methods as it provided positive estimates in all the measurements that were close to the value derived from gold standard for all measurements.
机译:食物的热效应(TEF)尽管难以测量,但却是众所周知的概念。评估TEF的金标准是进食和禁食状态之间的能量消耗差异(ΔEE)。或者,从能量消耗与体力活动之间的线性关系的截距中估算出0活度时的能量消耗(EE 0),以消除测量中的活动生热,而TEF计算为EE 0与吸收后静息代谢率之间的差(RMR)或睡眠代谢率(SMR)。但是,替代方法的准确性受到质疑。为了改善TEF估计,我们提出了一种新颖的方法作为原始TEF计算方法,以使用特定时间间隔内的综合体力活动来计算EE 0。我们旨在确定哪种TEF计算替代方法可以返回合理的估算值,即正值以及接近ΔEE的估算值。七名男子参加了两次全身间接量热法(含早餐和不含早餐),并通过三轴加速度计监测了身体活动。通过三种简化方法估算的TEF与ΔEE进行了比较。 ΔEE, style =“ fixed-case”> EE 在 style =“ fixed-case”> SMR 之上的0,我们的原始方法为 style =“ fixed -case“> TEF (所有早餐后)。我们原始方法的 style =“ fixed-case”> TEF 估计与基于Δ style =“ fixed-case”> EE 的估计没有区别,而与 style高于 style =“ fixed-case”> RMR =“ =” fixed-case“> EE 和 style高于0的 style =” fixed-case“> EE =“ fixed-case”> SMR 分别略低和较高。我们的原始方法在三种简化的 style =“ fixed-case”> TEF 方法中是最好的,因为它在所有测量中都提供了正估计,接近所有测量的金标准得出的值。

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