PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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：
■本研究旨在比较门诊临床环境中1型和2型糖尿病患者的静息代谢率的估计和测量。
■参与者被分为三组，包括1型糖尿病，2型糖尿病,和没有糖尿病的人。Bland-Altman分析用于确定最准确预测测得的静息代谢率的方程。多元回归分析用于确定影响静息代谢率的因素。
■与其他组相比，2型糖尿病患者的静息代谢率更高。预测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,和甘油三酯水平是正向预测静息代谢率的因素，年龄是一个负面预测因素。
■尽管估计和测量的RMR之间存在偏差，对于1型糖尿病女性，使用Mifflin-StJeor方程获得了最准确的结果，用Owen方程计算1型糖尿病男性,根据哈里斯·本尼迪克特的2型糖尿病女性方程，以及Ikeda方程对2型糖尿病男性以及对照组的女性和男性。
■参与者被分为三组，包括1型糖尿病，2型糖尿病,和没有糖尿病的人。Bland-Altman分析用于确定最准确预测测得的静息代谢率的方程。多元回归分析用于确定影响静息代谢率的因素。
■与其他组相比，2型糖尿病患者的静息代谢率更高。预测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,和甘油三酯水平是正向预测静息代谢率的因素，年龄是一个负面预测因素。
■尽管估计和测量的RMR之间存在偏差，对于1型糖尿病女性，使用Mifflin-StJeor方程获得了最准确的结果，用Owen方程计算1型糖尿病男性,根据哈里斯·本尼迪克特的2型糖尿病女性方程，以及Ikeda方程对2型糖尿病男性以及对照组的女性和男性。
