A new equation to estimate basal energy expenditure of patients with diabetes
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Summary

Background & aims

Predictive equations for basal energy expenditure (BEE) derived from Caucasians tend to overestimate BEE in non-Caucasians. The aim of this study was to develop a more suitable method to estimate BEE in Japanese patients with diabetes using indices readily measured in clinical practice.

Methods

BEE was measured by indirect calorimetry under a strict basal condition in 68 Japanese patients with type 1 or type 2 diabetes. The best fitting equation was investigated by multiple regression analysis using of age, sex, and anthropometric indices. The resultant new equation was tested in a separate group of 60 Japanese patients with type 1 or type 2 diabetes, and the accuracy compared with existing equations.

Results

The best-fit equation was BEE [kcal/day]?=?10?¡Á?(body weight)[kg] - 3?¡Á?(age)[y]?+?125 (if male)?+?750. Adjusted coefficient of determination was 81.0 % . Root mean squared errors and accurate prediction in the validation set were 103?kcal/day and 78 % for the new equation; 184 and 50 for Harris-Benedict; 209 and 38 for Oxford; 205 and 42 for Liu; and 140 and 63 for Ganpule.

Conclusions

This new equation is simpler and estimates BEE more accurately in Japanese patients with diabetes than the presently used equations do.

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