# Resting energy expenditure in clinical pediatrics: measured versus prediction equations.

### Abstract

### OBJECTIVE

To evaluate the use of resting energy expenditure (REE) prediction equations compared with measured REE in children referred for REE to aid clinical care.### SUBJECTS

One hundred two patients, aged 0.2 to 20.5 years, 55% female, with a nutritional diagnosis of failure to thrive (76%), obesity (19%), or other (5%).### METHODS

We measured REE by indirect calorimetry and compared with prediction equations: Food and Agriculture/World Health Organization/United Nations University (FAO/WHO/UNU) equation, Harris-Benedict (H-B) equation, and two equations from Schofield, one using weight (SCHO-WT) and one using weight and height (SCHO-HTWT).### RESULTS

The SCHO-HTWT equation more closely predicted measured REE (100% +/- 19%), compared with the WHO equation (99% +/- 22%), the SCHO-WT equation, (99% +/- 21%), and the H-B equation (92% +/- 25%). The SCHO-HTWT equation was the best at predicting REE for obese subjects (95% +/- 17%), for those with failure to thrive (101% +/- 20%), and for children from birth to 3 years of age (101% +/- 23%). Nevertheless, the prediction equations closely predicted REE in only about 40% of subjects.### CONCLUSION

These findings suggest that the SCHO-HTWT equation predicts REE in children with clinical nutritional problems better than equations that use weight alone. In view of the wide variability in REE measurements, however, we believe that REE should be measured in patients for whom knowledge of caloric expenditure is required for clinical care.### Links

### Authors+Show Affiliations

,Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, PA 19104.

, ,### Source

The Journal of pediatrics 127:2 1995 Aug pg 200-5

### MeSH

Basal MetabolismCalorimetry, Indirect

Child

Energy Metabolism

Evaluation Studies as Topic

Failure to Thrive

Female

Humans

Male

Mathematics

Obesity

Predictive Value of Tests

Reference Standards

Reference Values

Time Factors

### Pub Type(s)

Comparative StudyJournal Article

Research Support, Non-U.S. Gov't

Research Support, U.S. Gov't, P.H.S.

### Language

eng

### PubMed ID

7636642

### Citation

Kaplan, A S., et al. "Resting Energy Expenditure in Clinical Pediatrics: Measured Versus Prediction Equations."

*The Journal of Pediatrics,*vol. 127, no. 2, 1995, pp. 200-5.Kaplan AS, Zemel BS, Neiswender KM, et al. Resting energy expenditure in clinical pediatrics: measured versus prediction equations.

*J Pediatr*. 1995;127(2):200-5.Kaplan, A. S., Zemel, B. S., Neiswender, K. M., & Stallings, V. A. (1995). Resting energy expenditure in clinical pediatrics: measured versus prediction equations.

*The Journal of Pediatrics,**127*(2), pp. 200-5.Kaplan AS, et al. Resting Energy Expenditure in Clinical Pediatrics: Measured Versus Prediction Equations.

*J Pediatr.*1995;127(2):200-5. PubMed PMID: 7636642.* Article titles in AMA citation format should be in sentence-case

TY - JOUR
T1 - Resting energy expenditure in clinical pediatrics: measured versus prediction equations.
AU - Kaplan,A S,
AU - Zemel,B S,
AU - Neiswender,K M,
AU - Stallings,V A,
PY - 1995/8/1/pubmed
PY - 1995/8/1/medline
PY - 1995/8/1/entrez
SP - 200
EP - 5
JF - The Journal of pediatrics
JO - J. Pediatr.
VL - 127
IS - 2
N2 - OBJECTIVE: To evaluate the use of resting energy expenditure (REE) prediction equations compared with measured REE in children referred for REE to aid clinical care. SUBJECTS: One hundred two patients, aged 0.2 to 20.5 years, 55% female, with a nutritional diagnosis of failure to thrive (76%), obesity (19%), or other (5%). METHODS: We measured REE by indirect calorimetry and compared with prediction equations: Food and Agriculture/World Health Organization/United Nations University (FAO/WHO/UNU) equation, Harris-Benedict (H-B) equation, and two equations from Schofield, one using weight (SCHO-WT) and one using weight and height (SCHO-HTWT). RESULTS: The SCHO-HTWT equation more closely predicted measured REE (100% +/- 19%), compared with the WHO equation (99% +/- 22%), the SCHO-WT equation, (99% +/- 21%), and the H-B equation (92% +/- 25%). The SCHO-HTWT equation was the best at predicting REE for obese subjects (95% +/- 17%), for those with failure to thrive (101% +/- 20%), and for children from birth to 3 years of age (101% +/- 23%). Nevertheless, the prediction equations closely predicted REE in only about 40% of subjects. CONCLUSION: These findings suggest that the SCHO-HTWT equation predicts REE in children with clinical nutritional problems better than equations that use weight alone. In view of the wide variability in REE measurements, however, we believe that REE should be measured in patients for whom knowledge of caloric expenditure is required for clinical care.
SN - 0022-3476
UR - https://www.unboundmedicine.com/medline/citation/7636642/Resting_energy_expenditure_in_clinical_pediatrics:_measured_versus_prediction_equations_
L2 - https://linkinghub.elsevier.com/retrieve/pii/S0022-3476(95)70295-4
DB - PRIME
DP - Unbound Medicine
ER -