Borges Juliano Henrique, Langer Raquel David, Cirolini Vagner Xavier, Páscoa Mauro Alexandre, Guerra-Júnior Gil, Gonçalves Ezequiel Moreira
Growth and Development Laboratory, Center for Investigation in Pediatrics, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil.
Growth and Development Laboratory, Center for Investigation in Pediatrics, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil.
Nutrition. 2017 Jul-Aug;39-40:43-49. doi: 10.1016/j.nut.2017.03.001. Epub 2017 Mar 23.
The model most suitable for estimating resting energy expenditure (REE) using dual-energy X-ray absorptiometry (DXA) metabolic maps is not known; moreover, the applicability in individuals with different body sizes also is uncertain. The aim of this study was to test the accuracy of REE estimation from models of DXA metabolic maps with four, five, and six tissue-organ components in young men, stratified by body size.
We studied 52 young men between the ages of 18 and 29 y. Participants were clustered to small (SW; n = 32) and large (LW; n = 20) weight, and small (SWH; n = 25) and large (LWH; n = 27) weight-height. REE was measured by indirect calorimetry (REE), and predicted from DXA metabolic maps with four (REE), five (REE) and six (REE) tissue-organ components.
REE, REE, and REE explained 54% (P < 0.001), 56% (P < 0.001), and 58% (P < 0.001) of REE variance in all participants, respectively. However, REE showed mean difference between REE (P < 0.001), and REE showed trends in estimating the REE (P < 0.05). In contrast, REE showed limits of agreement (95%) of -248.3 to 285.8 kcal/d, 18.7 ± 136.3 kcal/d of bias, and no trends in the Bland-Altman analysis. The relationship between all predicted models and measured REE decreased in LW and LWH.
REE can be considered the best accurate model of REE estimation in Brazilian young men, providing the REE and metabolically active tissue-organ of four components. Caution should be exercised with the use of DXA metabolic maps in populations with greater weight and greater weight-height.
目前尚不清楚使用双能X线吸收法（DXA）代谢图估算静息能量消耗（REE）的最适合模型；此外，其在不同体型个体中的适用性也不确定。本研究的目的是测试根据具有四、五和六个组织器官成分的DXA代谢图模型估算REE在不同体型年轻男性中的准确性。
我们研究了52名年龄在18至29岁之间的年轻男性。参与者按体重分为小体重组（SW；n = 32）和大体重组（LW；n = 20），按体重身高分为小体重身高组（SWH；n = 25）和大体重身高组（LWH；n = 27）。通过间接测热法测量REE（REE），并根据具有四个（REE）、五个（REE）和六个（REE）组织器官成分的DXA代谢图进行预测。
REE、REE和REE分别解释了所有参与者中REE方差的54%（P < 0.001）、56%（P < 0.001）和58%（P < 0.001）。然而，REE与REE之间存在平均差异（P < 0.001），且REE在估算REE时呈现出趋势（P < 0.05）。相比之下，REE在布兰德-奥特曼分析中显示出一致性界限（95%）为-248.3至285.8千卡/天，偏差为18.7±136.3千卡/天，且无趋势。在LW和LWH组中，所有预测模型与测量的REE之间的关系均下降。
在巴西年轻男性中，REE可被视为估算REE的最准确模型，该模型提供了四个成分的REE和代谢活跃组织器官。对于体重较大和体重身高较大的人群，使用DXA代谢图时应谨慎。
