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重新评估的哈里斯-本尼迪克特方程:静息能量需求与体细胞群

The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass.

作者信息

Roza A M, Shizgal H M

出版信息

Am J Clin Nutr. 1984 Jul;40(1):168-82. doi: 10.1093/ajcn/40.1.168.

DOI:10.1093/ajcn/40.1.168
PMID:6741850
Abstract

The Harris Benedict equations (HBE) were derived from indirect calorimetric data obtained in 239 normal subjects. Using these data and additional data published by Benedict, which were obtained from subjects spanning a wider age range (n = 98), the present study evaluated the relationship between measured resting energy expenditure and age, sex, and predicted body cell mass (BCM). When the additional subjects from the subsequently published series are included, the regression equations, standard error of the estimate, and 95% confidence limits are similar to the original equations. The HBE estimate resting energy expenditure of a normal subject with a precision of 14%. Resting energy expenditure is directly related to the size of the BCM and is independent of age and sex. The variables of height, weight, age, and sex in the HBE reflect the relationship between body weight and the BCM. Indirect calorimetry and body composition measurements were performed in both normally nourished and malnourished patients (n = 74) to assess the accuracy of the HBE in malnourished patients. Malnutrition is associated with an increase in resting oxygen consumption (VO2) which becomes apparent only when VO2 is expressed as a function of the BCM. There is no difference in resting VO2 between the sexes when expressed as a function of BCM. A regression equation was derived from the Harris Benedict data to predict resting VO2 from age, height, weight, and sex. Predicted VO2 was not significantly different from measured VO2 for the normally nourished patients (n = 33) whereas in the malnourished (n = 41) predicted VO2 underestimated the measured value. The HBE accurately predict resting energy expenditure in normally nourished individuals with a precision of +/- 14%, but are unreliable in the malnourished patient.

摘要

哈里斯-本尼迪克特方程(HBE)源自对239名正常受试者进行间接量热法所获得的数据。利用这些数据以及本尼迪克特公布的其他数据(这些数据来自年龄范围更广的受试者,n = 98),本研究评估了测得的静息能量消耗与年龄、性别以及预测的身体细胞质量(BCM)之间的关系。当纳入后续发表系列中的额外受试者时,回归方程、估计标准误差和95%置信区间与原始方程相似。HBE对正常受试者静息能量消耗的估计精度为14%。静息能量消耗与BCM的大小直接相关,且与年龄和性别无关。HBE中的身高、体重、年龄和性别变量反映了体重与BCM之间的关系。对营养正常和营养不良的患者(n = 74)均进行了间接量热法和身体成分测量,以评估HBE在营养不良患者中的准确性。营养不良与静息耗氧量(VO2)增加有关,只有当VO2表示为BCM的函数时,这种增加才会变得明显。当表示为BCM的函数时,两性之间的静息VO2没有差异。从哈里斯-本尼迪克特数据中推导出一个回归方程,用于根据年龄、身高、体重和性别预测静息VO2。对于营养正常的患者(n = 33),预测的VO2与测得的VO2没有显著差异,而在营养不良的患者(n = 41)中,预测的VO2低估了测量值。HBE能够准确预测营养正常个体的静息能量消耗,精度为±14%,但在营养不良的患者中不可靠。

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