Steemburgo Thais, Lazzari Camila, Farinha Juliano Boufleur, Paula Tatiana Pedroso de, Viana Luciana Vercoza, Oliveira Alvaro Reischak de, Azevedo Mirela Jobim de
Programa de Pós-Graduação em Alimentação, Nutrição e Saúde, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brasil.
Departamento de Nutrição, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brasil.
Arch Endocrinol Metab. 2019 Feb;63(1):53-61. doi: 10.20945/2359-3997000000103.
The aims of this study are to investigate which of the seven selected predictive equation for estimating basal metabolic rate (BMR) is the best alternative to indirect calorimetry (IC) and to evaluate the dietary energy intake in patients with type 2 diabetes.
Twenty-one patients with type 2 diabetes participated in this diagnostic test study. Clinical and laboratorial variables were evaluated as well as body composition by absorptiometry dual X-ray emission (DXA) and BMR measured by IC and estimated by prediction equations. Dietary intake was evaluated by a quantitative food frequency questionnaire. Data were analyzed using Bland-Altman plots, paired t-tests, and Pearson's correlation coefficients.
Patients were 62 (48-70) years old, have had diabetes for 8 (2-36) yeas, and 52.4% were females. The mean body composition comprised a fat-free mass of 49.8 ± 9.4 kg and a fat mass of 28.3 ± 7.2 kg. The energy intake was 2134.3 ± 730.2 kcal/day and the BMR by IC was 1745 ± 315 kcal/day. There was a wide variation in the accuracy of BMR values predicted by equations when compared to IC BMR measurement. Harris-Benedict, Oxford, FAO/WHO/UNO equations produced the smallest differences to IC, with a general bias of < 8%. The FAO/WHO/UNO equation provided the best BMR prediction in comparison to measured BMR.
In patients with type 2 diabetes, the equation of the FAO/WHO/UNO was the one closest to the BMR values as measured by IC.
本研究旨在调查用于估计基础代谢率（BMR）的七个选定预测方程中，哪一个是间接测热法（IC）的最佳替代方法，并评估2型糖尿病患者的膳食能量摄入量。
21名2型糖尿病患者参与了这项诊断测试研究。评估了临床和实验室变量，以及通过双能X线吸收法（DXA）测定的身体成分和通过IC测量并由预测方程估算的BMR。通过定量食物频率问卷评估膳食摄入量。使用Bland-Altman图、配对t检验和Pearson相关系数分析数据。
患者年龄为62（48 - 70）岁，患糖尿病8（2 - 36）年，52.4%为女性。平均身体成分包括无脂肪体重49.8±9.4 kg和脂肪量28.3±7.2 kg。能量摄入量为2134.3±730.2千卡/天，IC测量的BMR为1745±315千卡/天。与IC BMR测量相比，方程预测的BMR值准确性存在很大差异。Harris-Benedict、Oxford、FAO/WHO/UNO方程与IC的差异最小，总体偏差<8%。与测量的BMR相比，FAO/WHO/UNO方程提供了最佳的BMR预测。
在2型糖尿病患者中，FAO/WHO/UNO方程最接近IC测量的BMR值。
