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通过考虑血糖因素,2型糖尿病静息能量消耗的预测得到改善。

The prediction of resting energy expenditure in type 2 diabetes mellitus is improved by factoring for glycemia.

作者信息

Gougeon R, Lamarche M, Yale J-F, Venuta T

机构信息

McGill Nutrition and Food Science Centre, Royal Victoria Hospital, Montreal, Quebec, Canada.

出版信息

Int J Obes Relat Metab Disord. 2002 Dec;26(12):1547-52. doi: 10.1038/sj.ijo.0802178.

DOI:10.1038/sj.ijo.0802178
PMID:12461671
Abstract

BACKGROUND

Predictive equations have been reported to overestimate resting energy expenditure (REE) for obese persons. The presence of hyperglycemia results in elevated REE in obese persons with type 2 diabetes, and its effect on the validity of these equations is unknown.

OBJECTIVE

We tested whether (1) indicators of diabetes control were independent associates of REE in type 2 diabetes and (2) their inclusion would improve predictive equations.

DESIGN

A cross-sectional study of 65 (25 men, 40 women) obese type 2 diabetic subjects. Variables measured were: REE by ventilated-hood indirect calorimetry, body composition by bioimpedance analysis, body circumferences, fasting plasma glucose (FPG) and hemoglobin A(1c). Data were analyzed using stepwise multiple linear regression.

RESULTS

REE, corrected for weight, fat-free mass, age and gender, was significantly greater with FPG>10 mmol/l (P=0.017) and correlated with FPG (P=0.013) and hemoglobin A(1c) as percentage upper limit of normal (P=0.02). Weight was the main determinant of REE. Together with hip circumference and FPG, it explained 81% of the variation. FPG improved the predictability of the equation by >3%. With poor glycemic control, it can represent an increase in REE of up to 8%.

CONCLUSION

Our data indicate that in a population of obese subjects with type 2 diabetes mellitus, REE is better predicted when fasting plasma glucose is included as a variable.

摘要

背景

据报道,预测方程会高估肥胖者的静息能量消耗(REE)。高血糖的存在会导致2型糖尿病肥胖者的REE升高,但其对这些方程有效性的影响尚不清楚。

目的

我们测试了(1)糖尿病控制指标是否是2型糖尿病中REE的独立相关因素,以及(2)将它们纳入是否会改善预测方程。

设计

对65名(25名男性,40名女性)肥胖2型糖尿病受试者进行横断面研究。测量的变量包括:通过通风罩间接测热法测量REE,通过生物电阻抗分析测量身体成分、身体周长、空腹血糖(FPG)和糖化血红蛋白A1c。使用逐步多元线性回归分析数据。

结果

校正体重、去脂体重、年龄和性别后,FPG>10 mmol/L时REE显著更高(P=0.017),且与FPG(P=0.013)和糖化血红蛋白A1c占正常上限的百分比(P=0.02)相关。体重是REE的主要决定因素。与臀围和FPG一起,它解释了81%的变异。FPG使方程的预测能力提高了>3%。血糖控制不佳时,它可使REE增加高达8%。

结论

我们的数据表明,在肥胖2型糖尿病患者群体中,将空腹血糖作为变量纳入时,REE能得到更好的预测。

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