title: A new equation to estimate basal energy expenditure of patients with diabetes.
abstract: OBJECTIVE
  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 × (body weight)[kg] - 3 × (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.
authors.affiliation: Department of Diabetes and Clinical Nutrition, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: kaikeda@metab.kuhp.kyoto-u.ac.jp.
authors.forename: Kaori
authors.initials: K
authors.lastname: Ikeda
authors.forename: Shimpei
authors.initials: S
authors.lastname: Fujimoto
authors.forename: Masashi
authors.initials: M
authors.lastname: Goto
authors.forename: Chizumi
authors.initials: C
authors.lastname: Yamada
authors.forename: Akihiro
authors.initials: A
authors.lastname: Hamasaki
authors.forename: Megumi
authors.initials: M
authors.lastname: Ida
authors.forename: Kazuaki
authors.initials: K
authors.lastname: Nagashima
authors.forename: Kenichiro
authors.initials: K
authors.lastname: Shide
authors.forename: Takashi
authors.initials: T
authors.lastname: Kawamura
authors.forename: Nobuya
authors.initials: N
authors.lastname: Inagaki
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000465:Algorithms; D001481:Basal Metabolism; D001823:Body Composition; D001835:Body Weight / Q000208:ethnology; D002153:Calorimetry, Indirect; D003922:Diabetes Mellitus, Type 1 / Q000208:ethnology / Q000378:metabolism*; D003924:Diabetes Mellitus, Type 2 / Q000208:ethnology / Q000378:metabolism*; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D007564:Japan; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D012044:Regression Analysis; D012727:Sex Characteristics; D055815:Young Adult