Hostname: page-component-848d4c4894-jbqgn Total loading time: 0 Render date: 2024-06-14T17:59:00.587Z Has data issue: false hasContentIssue false
  • English
  • Français

The Oxford Brookes basal metabolic rate database – a reanalysis

Published online by Cambridge University Press:  02 January 2007

TJ Cole  and
CJK Henry
TJ Cole*
Affiliation:
Centre for Paediatric Epidemiology and Biostatistics, Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
CJK Henry
Affiliation:
Oxford Brookes University, Oxford, UK
*
*Corresponding author: Email tim.cole@ich.ucl.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective

To produce prediction equations for basal metabolic rate (BMR) derived from weight and height covering the age range from birth to old age.

Design

Cross-sectional data on BMR, sex, age, weight, height, ethnicity and measurement technique from the Oxford Brookes BMR database.

Setting

Worldwide.

Subjects

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.

Keywords

Basal metabolic rateEthnicityMultiple regression model
Type
Research Article
Information
Public Health Nutrition , Volume 8 , Issue 7a , October 2005 , pp. 1202 - 1212
Copyright
Copyright © The Authors 2005

References

1Freeman, JV, Cole, TJ, Chinn, S, Jones, PR, White, EM, Preece, MA. Cross sectional stature and weight reference curves for the UK, 1990. Archives of Disease in Childhood 1995; 73: 17–24.CrossRefGoogle ScholarPubMed
2Cole, TJ, Green, PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Statistics in Medicine 1992; 11: 1305–19.Google Scholar
3Cole, TJ, Sympercents: symmetric percentage differences on the 100 log e scale simplify the presentation of log transformed data. Statistics in Medicine 2000; 19: 3109–25.Google Scholar
4Deurenberg, P, Weststrate, JA, Seidell, JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. British Journal of Nutrition 1991; 65: 105–14.Google Scholar
5Cole, TJ, Pan, H. British 1990 growth reference software at http://www.healthforallchildren.co.uk/. Child Growth Foundation, 1998.Google Scholar