Accuracy of basal metabolic rate estimated by predictive equations in Japanese with type 2 diabetes

Shogo Tabata, Norimitsu Kinoshita, Satoru Yamada, Hideo Matsumoto

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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 (BMRm) with a portable gas analyzer in the fasting state in 69 Japanese patients with T2DM. BMR was estimated using the Harris-Benedict equation (BMRhb) and Ganpule equation (BMRg). An original predictive equation (BMRdm) 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 BMRm and the three estimated BMRs (BMRhb, BMRg, and BMRdm), 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.

Original languageEnglish
Pages (from-to)763-769
Number of pages7
JournalAsia Pacific Journal of Clinical Nutrition
Volume27
Issue number4
DOIs
Publication statusPublished - 2018 Jul 1

Fingerprint

Basal Metabolism
Type 2 Diabetes Mellitus
Weights and Measures
Bone Density
Fasting
Gases
Fats
Regression Analysis

Keywords

  • Basal metabolic rate (BMR)
  • Diabetes
  • Japanese
  • Portable gas analyzer
  • Predictive equation

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics

Cite this

Accuracy of basal metabolic rate estimated by predictive equations in Japanese with type 2 diabetes. / Tabata, Shogo; Kinoshita, Norimitsu; Yamada, Satoru; Matsumoto, Hideo.

In: Asia Pacific Journal of Clinical Nutrition, Vol. 27, No. 4, 01.07.2018, p. 763-769.

Research output: Contribution to journalArticle

Tabata, Shogo ; Kinoshita, Norimitsu ; Yamada, Satoru ; Matsumoto, Hideo. / Accuracy of basal metabolic rate estimated by predictive equations in Japanese with type 2 diabetes. In: Asia Pacific Journal of Clinical Nutrition. 2018 ; Vol. 27, No. 4. pp. 763-769.
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abstract = "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 (BMRm) with a portable gas analyzer in the fasting state in 69 Japanese patients with T2DM. BMR was estimated using the Harris-Benedict equation (BMRhb) and Ganpule equation (BMRg). An original predictive equation (BMRdm) 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 BMRm and the three estimated BMRs (BMRhb, BMRg, and BMRdm), 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.",
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