title: The Oxford Brookes basal metabolic rate database--a reanalysis.
abstract: OBJECTIVE
  To produce prediction equations for basal metabolic rate (BMR) derived from weight and height covering the age range from birth to old age.
  
  
  METHODS
  Cross-sectional data on BMR, sex, age, weight, height, ethnicity and measurement technique from the Oxford Brookes BMR database.
  
  
  METHODS
  Worldwide.
  
  
  METHODS
  Data for 13,910 men, women and children from 174 papers published between 1914 and 2001.
  
  
  RESULTS
  Absolute and proportional regression models were developed for each sex, showing a steep rise in predicted BMR with age until 15 years, more pronounced in males than females, then a gradual fall through adulthood. Predicted BMR increased by 6% and 1.4%, respectively, per standard deviation increase in weight and height. Predicted BMR in Caucasians was 4% higher than in non-Caucasians, though the effect size was sensitive to the inclusion or exclusion of data from certain influential publications. The effect of measurement technique on BMR, closed-circuit versus open-circuit, was small, near 1%.
  
  
  CONCLUSIONS
  It is possible to develop prediction equations that avoid splitting the data into arbitrary age groups. Heterogeneity between publications is greater than might be expected by chance, probably due to undocumented differences in technique.
authors.affiliation: Centre for Paediatric Epidemiology and Biostatistics, Institute of Child Health, London, UK. tim.cole@ich.ucl.ac.uk
authors.forename: T J
authors.initials: TJ
authors.lastname: Cole
authors.forename: C J K
authors.initials: CJ
authors.lastname: Henry
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001481:Basal Metabolism / Q000502:physiology*; D001827:Body Height / Q000502:physiology*; D001835:Body Weight / Q000502:physiology*; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D005006:Ethnicity; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012737:Sex Factors