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Poor prediction of resting energy expenditure in obese women by established equations.
Metabolism. 2010 Aug; 59(8):1181-9.M

Abstract

The objective of the study was to evaluate the accuracy of established prediction equations that calculate resting energy expenditure (REE) in obese women. This was a cross-sectional study. In 273 mildly to severely obese women (age, 41.7 +/- 13.2 years; body mass index, 42.8 +/- 7.0 kg/m(2)), REE was measured by indirect calorimetry (mREE), along with fat mass (FM) and fat-free mass (FFM) by bioelectrical impedance analysis. Eleven established equations were used to predict REE (pREE), with 9 equations basing on the anthropometric parameters body weight and height and 2 equations including body composition parameters (FM, FFM). All equations provided pREE values that significantly correlated with mREE (r > 0.66, P < .001), although 8 equations systematically underestimated mREE (P < .05). Of note, even the best equation was not able to accurately predict mREE with a deviation of less than +/-10% in more than 70% of the tested women. Furthermore, equations using body composition data were not superior in predicting REE as compared with equations exclusively including anthropometric variables. Multiple linear regression analyses revealed 2 new equations--one including body weight and age and another including FM, FFM, and age--that explained 56.9% and 57.2%, respectively, of variance in mREE. However, when these 2 new equations were applied to an independent sample of 33 obese women, they also provided an accurate prediction (+/-10%) of mREE in only 56.7% and 60.6%, respectively, of the women. Data show that an accurate prediction of REE is not feasible using established equations in obese women. Equations that include body composition parameters as assessed by bioelectrical impedance analysis do not increase the accuracy of prediction. Based on our results, we conclude that calculating REE by standard prediction equations does not represent a reliable alternative to indirect calorimetry for the assessment of REE in obese women.

Authors+Show Affiliations

Interdisciplinary Obesity Center, Kantonsspital St. Gallen, CH-9400 Rorschach, Switzerland.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

20045143

Citation

Wilms, Britta, et al. "Poor Prediction of Resting Energy Expenditure in Obese Women By Established Equations." Metabolism: Clinical and Experimental, vol. 59, no. 8, 2010, pp. 1181-9.
Wilms B, Schmid SM, Ernst B, et al. Poor prediction of resting energy expenditure in obese women by established equations. Metab Clin Exp. 2010;59(8):1181-9.
Wilms, B., Schmid, S. M., Ernst, B., Thurnheer, M., Mueller, M. J., & Schultes, B. (2010). Poor prediction of resting energy expenditure in obese women by established equations. Metabolism: Clinical and Experimental, 59(8), 1181-9. https://doi.org/10.1016/j.metabol.2009.11.011
Wilms B, et al. Poor Prediction of Resting Energy Expenditure in Obese Women By Established Equations. Metab Clin Exp. 2010;59(8):1181-9. PubMed PMID: 20045143.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Poor prediction of resting energy expenditure in obese women by established equations. AU - Wilms,Britta, AU - Schmid,Sebastian M, AU - Ernst,Barbara, AU - Thurnheer,Martin, AU - Mueller,Manfred J, AU - Schultes,Bernd, Y1 - 2009/12/31/ PY - 2009/05/15/received PY - 2009/11/03/revised PY - 2009/11/11/accepted PY - 2010/1/5/entrez PY - 2010/1/5/pubmed PY - 2010/8/12/medline SP - 1181 EP - 9 JF - Metabolism: clinical and experimental JO - Metab. Clin. Exp. VL - 59 IS - 8 N2 - The objective of the study was to evaluate the accuracy of established prediction equations that calculate resting energy expenditure (REE) in obese women. This was a cross-sectional study. In 273 mildly to severely obese women (age, 41.7 +/- 13.2 years; body mass index, 42.8 +/- 7.0 kg/m(2)), REE was measured by indirect calorimetry (mREE), along with fat mass (FM) and fat-free mass (FFM) by bioelectrical impedance analysis. Eleven established equations were used to predict REE (pREE), with 9 equations basing on the anthropometric parameters body weight and height and 2 equations including body composition parameters (FM, FFM). All equations provided pREE values that significantly correlated with mREE (r > 0.66, P < .001), although 8 equations systematically underestimated mREE (P < .05). Of note, even the best equation was not able to accurately predict mREE with a deviation of less than +/-10% in more than 70% of the tested women. Furthermore, equations using body composition data were not superior in predicting REE as compared with equations exclusively including anthropometric variables. Multiple linear regression analyses revealed 2 new equations--one including body weight and age and another including FM, FFM, and age--that explained 56.9% and 57.2%, respectively, of variance in mREE. However, when these 2 new equations were applied to an independent sample of 33 obese women, they also provided an accurate prediction (+/-10%) of mREE in only 56.7% and 60.6%, respectively, of the women. Data show that an accurate prediction of REE is not feasible using established equations in obese women. Equations that include body composition parameters as assessed by bioelectrical impedance analysis do not increase the accuracy of prediction. Based on our results, we conclude that calculating REE by standard prediction equations does not represent a reliable alternative to indirect calorimetry for the assessment of REE in obese women. SN - 1532-8600 UR - https://www.unboundmedicine.com/medline/citation/20045143/Poor_prediction_of_resting_energy_expenditure_in_obese_women_by_established_equations_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0026-0495(09)00486-7 DB - PRIME DP - Unbound Medicine ER -