Resting metabolic rate in Italians: relation with body composition and anthropometric parameters

Abstract The objectives of this study were to obtain values for resting metabolic rate in Italians in relation to parameters of body composition, and to compare them to predicted values using the FAO/WHO/UNU equation. We performed a cross-sectional observational study of 131 healthy subjects (46 males and 85 females) at the Human Nutrition Unit, University Tor Vergata, Rome. Body composition was determined by dual energy X-ray absorptiometry (DXA) and resting metabolic rate was calculated using their Weir formula. Resting metabolic rate was 1865 ± 234 kcal/day in males and 1354 ± 154 kcal/day in females. These values decreased slightly with age. The relationships with weight and age were stronger than that with lean mass from DXA as independent variables in multiple regression analysis. Mean resting metabolic rates predicted with FAO/WHO/UNU and Harris-Benedict formula were not significantly different from measured values except for the Harris-Benedict value for females (p < 0.01). Individual differences between measured and predicted values were notably high. The measured values were higher than those reported in the literature. The prediction of resting metabolic rate is more accurate with simple anthropometric parameters than with fat-free mass obtained by DXA. The individual error in the predicted values can be so high that for individual use a measured value is preferred over an estimated value.

[1]  C. Henry,et al.  A re-examination of basal metabolic rate predictive equations: the importance of geographic origin of subjects in sample selection. , 1994, European journal of clinical nutrition.

[2]  A. Ferro-Luzzi,et al.  Basal metabolism of weight-stable chronically undernourished men and women: lack of metabolic adaptation and ethnic differences. , 1997, The American journal of clinical nutrition.

[3]  R. Marcus,et al.  Accuracy of equations to predict basal metabolic rate in older women. , 1995, Journal of the American Dietetic Association.

[4]  A. De Lorenzo,et al.  Within-subject variability in body composition using dual-energy X-ray absorptiometry. , 1997, Clinical physiology.

[5]  A. H. Norris,et al.  Effect of muscle mass decrease on age-related BMR changes. , 1977, Journal of applied physiology: respiratory, environmental and exercise physiology.

[6]  E. Ravussin,et al.  Aging and energy expenditure. , 1991, The American journal of clinical nutrition.

[7]  F. Mosca,et al.  Energy metabolism of surgical patients in the early postoperative period: a reappraisal. , 1988, Critical care medicine.

[8]  J. B. Weir New methods for calculating metabolic rate with special reference to protein metabolism , 1949, The Journal of physiology.

[9]  J. Macfie Active metabolic expenditure of gastroenterological surgical patients receiving intravenous nutrition. , 1984, JPEN. Journal of parenteral and enteral nutrition.

[10]  S B Heymsfield,et al.  Organ-tissue mass measurement allows modeling of REE and metabolically active tissue mass , 1998 .

[11]  Joint Fao,et al.  Energy and protein requirements. Report of a joint FAO/WHO/UNU Expert Consultation. , 1985, World Health Organization technical report series.

[12]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[13]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[14]  Y. Schutz,et al.  Reexamination of the relationship of resting metabolic rate to fat-free mass and to the metabolically active components of fat-free mass in humans. , 1992, The American journal of clinical nutrition.

[15]  J. Wang,et al.  Prediction of the resting metabolic rate in obese patients. , 1983, The American journal of clinical nutrition.

[16]  J. Weststrate,et al.  Resting metabolic rate and diet-induced thermogenesis: a methodological reappraisal. , 1993, The American journal of clinical nutrition.

[17]  Schofield Wn,et al.  Predicting basal metabolic rate, new standards and review of previous work , 1985 .