- 期刊
- Ahead-of-Print
Accuracy of basal metabolic rate estimated by predictive equations in Japanese with type 2 diabetes
摘要
Background and Objectives: Estimation of energy demand using basal metabolic rate (BMR) is a rational approach for optimizing glycemic control and weight management in patients with type 2 diabetes mellitus (T2DM). Here, we assessed the accuracy of predictive equations in estimating BMR in Japanese patients with T2DM. Methods and Study Design: BMR was measured indirectly (BMR_m) with a portable gas analyzer in the fasting state in 69 Japanese patients with T2DM. BMR was estimated using the Harris-Benedict equation (BMR_(hb)) and Ganpule equation (BMR_g). An original predictive equation (BMR_(dm)) was formulated by stepwise multiple regression analysis using subject age, lean soft tissue mass, fat mass and bone mineral content. Mean differences and 95% limits of agreement between measured and three estimated BMRs were evaluated by Bland-Altman plots. In addition, subjects were divided into three BMI groups (normal, BMI ＜25; overweight, BMI ≥25; obese, BMI ≥30), and the influence of BMI on the error size between measured and estimated BMRs was assessed. Results: Between BMR_m and the three estimated BMRs (BMR_(hb), BMR_g, and BMR_(dm)), there were small systematic errors with large random errors (mean difference±2SD ; -32±365 kcal，26±405 kcal, and −1.6±349 kcal, respectively) and significant proportional errors (r=0.42, 0.44, and 0.30, respectively). BMI subgroup analysis revealed that the obese group showed larger random errors and significant proportional errors compared to the overweight and normal weight groups. Conclusion: Predictive equations provide unacceptably inaccurate estimates of BMR in Japanese patients with T2DM, particularly in obese individuals.
延伸閱讀
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