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比较肥胖青少年在儿科健康体重诊所测量的静息能量消耗和预测方程:一种方法并不适合所有人。

Comparison of predictive equations and measured resting energy expenditure among obese youth attending a pediatric healthy weight clinic: one size does not fit all.

机构信息

Sarah T. Henes, The Division of Nutrition, Byrdine F. Lewis School of Nursing and Health Professions, Georgia State University, PO Box 3995, Atlanta, GA 30302, USA. Email:

出版信息

Nutr Clin Pract. 2013 Oct;28(5):617-24. doi: 10.1177/0884533613497237. Epub 2013 Aug 6.

Abstract

BACKGROUND

The Academy of Nutrition and Dietetics recommends the use of indirect calorimetry for calculating caloric targets for weight loss in obese youth. Practitioners typically use predictive equations since indirect calorimetry is often not available. The objective of this study was to compare measured resting energy expenditure (MREE) with that estimated using published predictive equations in obese pediatric patients.

MATERIAL AND METHODS

Youth aged 7 to 18 years (n = 80) who were referred to a university-based healthy weight clinic and who were greater than the 95th percentile BMI for age and gender participated. MREE was measured via a portable indirect calorimeter. Predicted energy expenditure (pEE) was estimated using published equations including those commonly used in children. pEE was compared to the MREE for each subject. Absolute mean difference between MREE and pEE, mean percentage accuracy, and mean error were determined.

RESULTS

Mean percentage accuracy of pEE compared with MREE varied widely, with the Harris-Benedict, Lazzer, and Molnar equations providing the greatest accuracy (65%, 61%, and 60%, respectively). Mean differences between MREE and equation-estimated caloric targets varied from 197.9 kcal/day to 307.7 kcal/day.

CONCLUSIONS

The potential to either overestimate or underestimate calorie needs in the clinical setting is significant when comparing EE derived from predictive equations with that measured using portable indirect calorimetry. While our findings suggest that the Harris-Benedict equation has improved accuracy relative to other equations in severely obese youth, the potential for error remains sufficiently great to suggest that indirect calorimetry is preferred.

摘要

背景

营养与饮食学会建议使用间接热量测定法来计算肥胖青少年减肥的热量目标。由于间接热量测定法通常不可用,从业者通常使用预测方程。本研究的目的是比较肥胖儿科患者中使用发表的预测方程估算的测量静息能量消耗(MREE)与实际测量的静息能量消耗。

材料与方法

年龄为 7 至 18 岁(n = 80)的肥胖儿童,这些儿童被转介到以大学为基础的健康体重诊所,其 BMI 超过年龄和性别对应的第 95 百分位数。通过便携式间接热量计测量 MREE。使用发表的方程,包括儿童常用的方程,估算预测能量消耗(pEE)。将 pEE 与每位受试者的 MREE 进行比较。确定 MREE 与 pEE 之间的绝对平均差异、平均准确率和平均误差。

结果

pEE 与 MREE 的平均准确率差异很大,其中 Harris-Benedict、Lazzer 和 Molnar 方程的准确率最高(分别为 65%、61%和 60%)。MREE 与方程估算的热量目标之间的平均差异从 197.9 kcal/天到 307.7 kcal/天不等。

结论

当将预测方程得出的 EE 与便携式间接热量计测量的 EE 进行比较时,在临床环境中存在高估或低估热量需求的巨大潜力。虽然我们的研究结果表明,与其他方程相比,Harris-Benedict 方程在严重肥胖的青少年中具有更高的准确性,但误差的可能性仍然很大,建议使用间接热量测定法。

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本文引用的文献

1
Energy prediction equations are inadequate for obese Hispanic youth.
J Am Diet Assoc. 2011 Aug;111(8):1204-10. doi: 10.1016/j.jada.2011.05.010.
3
Validation of predictive equations for resting energy expenditure in obese adolescents.
Am J Clin Nutr. 2010 May;91(5):1244-54. doi: 10.3945/ajcn.2009.28330. Epub 2010 Mar 17.
4
Prevalence of high body mass index in US children and adolescents, 2007-2008.
JAMA. 2010 Jan 20;303(3):242-9. doi: 10.1001/jama.2009.2012. Epub 2010 Jan 13.
5
Relationship between basal metabolic rate, gender, age, and body composition in 8,780 white obese subjects.
Obesity (Silver Spring). 2010 Jan;18(1):71-8. doi: 10.1038/oby.2009.162. Epub 2009 May 28.
7
Metabolic testing in the office.
Curr Sports Med Rep. 2008 May-Jun;7(3):163-70. doi: 10.1097/01.CSMR.0000319705.95180.80.
10
A Biometric Study of Human Basal Metabolism.
Proc Natl Acad Sci U S A. 1918 Dec;4(12):370-3. doi: 10.1073/pnas.4.12.370.

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