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极度肥胖患者的静息能量消耗:哈里斯-本尼迪克特方程与间接测热法的比较

Resting Energy Expenditure in Patients with Extreme Obesity: Comparison of the Harris-Benedict Equation with Indirect Calorimetry.

作者信息

Jílková Anna, Lampová Barbora, Kádě Ondřej, Kouřimská Lenka, Chrpová Diana, Kaiserová Iveta, Matoulek Martin

机构信息

Department of Microbiology, Nutrition and Dietetics, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 165 21 Prague, Czech Republic.

3rd Internal Department of Endocrinology and Metabolism, General University Hospital, 1st Faculty of Medicine, Charles University, 128 08 Prague, Czech Republic.

出版信息

J Clin Med. 2024 Oct 8;13(19):5993. doi: 10.3390/jcm13195993.

DOI:10.3390/jcm13195993
PMID:39408053
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11478319/
Abstract

: The main objective of the work was the analysis and description of data on body composition and resting energy expenditure (REE) values of selected groups of patients with obesity whose REE measurement results using indirect calorimetry reached a level below 95% of the predicted REE calculated using the Harris-Benedict (H-B) equation. The sub-goals were to describe the dependence of body composition on the size of the REE and to find out if the deviations between the number of the total measured REE and the REE calculated using H-B in the adapted group (patients with altered REE values, lower than expected caused by long caloric restriction) are significant. : For the research, 71 (39 women and 32 men) patients treated in obesitology were selected. Patients underwent the measurement of resting metabolism using indirect calorimetry (IC) and body composition measurement on the bioimpedance device and, at the same time, the value of resting metabolism was calculated for everyone using the H-B equation. The whole group was divided into five groups according to the deviation of the measurement using IC and the calculation of the H-B equation. : In the total set of examined individuals, there were 32.4% with a reduced REE value compared to the REE calculation according to the H-B equation, which corresponds to 23 individuals. In the adapted group, the average measured REE was 2242 ± 616 kcal compared to the H-B calculation of 2638 ± 713 kcal. Statistically, these results were not significant, but a high case-to-case variation was found. The highest deviation from the H-B predictive calculation was -42% and +43% in the whole research group. The amount of muscle tissue in the adapted group averaged 44.3 ± 11.9 kg and the amount of fat-free mass (FFM) 77.9 ± 20.1 kg. When statistically testing the dependence of REE on FFM and muscle tissue in the adapted group, a strong correlation was found. : The H-B equation alone is not suitable for setting a suitable diet therapy for an individual with obesity. In order to select and characterize a group of adapted individuals, it will be necessary to use other methods or a larger research sample, and preferably examine and divide patients with specific comorbidities or include their health status.

摘要

该研究的主要目的是分析和描述特定肥胖患者群体的身体成分数据以及静息能量消耗(REE)值,这些患者使用间接测热法测得的REE结果低于使用哈里斯 - 本尼迪克特(H - B)方程计算出的预测REE的95%。次要目标是描述身体成分与REE大小之间的关系,并查明在适应组(因长期热量限制导致REE值改变且低于预期的患者)中,实测总REE数量与使用H - B方程计算出的REE之间的偏差是否显著。

为了进行这项研究,选取了71名(39名女性和32名男性)接受肥胖症治疗的患者。患者接受了使用间接测热法(IC)测量静息代谢以及在生物电阻抗设备上测量身体成分,同时,使用H - B方程为每个人计算静息代谢值。根据IC测量值与H - B方程计算值的偏差,将整个组分为五组。

在所有接受检查的个体中,与根据H - B方程计算的REE相比,有32.4%的个体REE值降低,即23人。在适应组中,实测平均REE为2242±616千卡,而H - B计算值为2638±713千卡。从统计学角度来看,这些结果并不显著,但发现个体差异很大。在整个研究组中,与H - B预测计算的最大偏差为 - 42%和 + 43%。适应组中肌肉组织的平均量为44.3±11.9千克,去脂体重(FFM)为77.9±20.1千克。在对适应组中REE与FFM和肌肉组织之间的关系进行统计学检验时,发现了很强的相关性。

仅H - B方程并不适合为肥胖个体制定合适的饮食疗法。为了选择和描述适应个体群体,有必要使用其他方法或更大的研究样本,最好检查并区分患有特定合并症的患者或纳入他们的健康状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11478319/6a00e86a5796/jcm-13-05993-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11478319/a63bdf586bdb/jcm-13-05993-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11478319/6a00e86a5796/jcm-13-05993-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11478319/a63bdf586bdb/jcm-13-05993-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a2/11478319/6a00e86a5796/jcm-13-05993-g002.jpg

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本文引用的文献

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Estimates of resting energy expenditure and total energy expenditure using predictive equations in adults with overweight and obesity: a systematic review with meta-analysis.使用预测方程对超重和肥胖成年人静息能量消耗和总能量消耗的估计:一项系统评价与荟萃分析
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Resting energy expenditure in cancer patients: Agreement between predictive equations and indirect calorimetry.
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Clin Nutr ESPEN. 2021 Apr;42:286-291. doi: 10.1016/j.clnesp.2021.01.019. Epub 2021 Feb 15.
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