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1型和2型糖尿病患者静息代谢率估计值与测量值的评估

Assessment of estimated and measured resting metabolic rates in type 1 and type 2 diabetes mellitus.

作者信息

Dayan Akin, Ergen Nilay, Bulgurlu Sami Sabri

机构信息

Department of Family Medicine, Diabetes Polyclinic, Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey.

Department of Physiology, Yeni Yuzyil University, Istanbul, Turkey.

出版信息

Heliyon. 2024 Mar 19;10(6):e28248. doi: 10.1016/j.heliyon.2024.e28248. eCollection 2024 Mar 30.

DOI:10.1016/j.heliyon.2024.e28248
PMID:38545157
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10966704/
Abstract

AIM

This study aimed to compare the estimated and measured resting metabolic rates of patients with type 1 and type 2 diabetes mellitus in an outpatient clinical setting.

MATERIAL AND METHODS

Participants were categorized into three groups that included type 1 diabetes, type 2 diabetes, and individuals without diabetes. Bland-Altman analysis was used to identify the equation that most accurately predicted the measured resting metabolic rates. Multiple regression analysis was used to identify the factors affecting resting metabolic rates.

RESULTS

Resting metabolic rates was observed to be higher in subjects with type 2 diabetes compared to that of the other groups. There was a proportional bias between predicted and measured resting metabolic rates. Type 1 diabetes, type 2 diabetes, male sex, body weight, waist circumference, and triglyceride level were factors that positively predicted resting metabolic rates, and age was a factor that negatively predicted it.

CONCLUSIONS

Although there was a bias between estimated and measured RMR, the most accurate results were achieved with the Mifflin-St Jeor equation for women with type 1 diabetes, with the Owen equation for men with type 1 diabetes, with the Harris Benedict equation for women with type 2 diabetes, and with the Ikeda equation for men with type 2 diabetes as well as for women and men in the control group.

摘要

目的

本研究旨在比较在门诊临床环境中1型和2型糖尿病患者的估计静息代谢率和测量的静息代谢率。

材料与方法

参与者被分为三组,包括1型糖尿病患者、2型糖尿病患者和无糖尿病个体。采用Bland-Altman分析来确定最准确预测测量静息代谢率的方程。采用多元回归分析来确定影响静息代谢率的因素。

结果

观察到2型糖尿病患者的静息代谢率高于其他组。预测的和测量的静息代谢率之间存在比例偏差。1型糖尿病、2型糖尿病、男性、体重、腰围和甘油三酯水平是静息代谢率的正向预测因素,年龄是负向预测因素。

结论

尽管估计的和测量的静息代谢率之间存在偏差,但对于1型糖尿病女性,使用米夫林-圣乔尔方程;对于1型糖尿病男性,使用欧文方程;对于2型糖尿病女性,使用哈里斯- Benedict方程;对于2型糖尿病男性以及对照组的女性和男性,使用池田方程可获得最准确的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a059/10966704/3c7cad495d95/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a059/10966704/3c7cad495d95/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a059/10966704/3c7cad495d95/gr1.jpg

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