Yamamura Chiaki, Tanaka Shigeho, Futami Jun, Oka Jun, Ishikawa-Takata Kazuko, Kashiwazaki Hiroshi
National Institute of Health and Nutrition, Toyama, Shinjuku-ku, Tokyo 162-8636, Japan.
J Nutr Sci Vitaminol (Tokyo). 2003 Aug;49(4):262-9. doi: 10.3177/jnsv.49.262.
In comparison with the energy expenditure determined by a whole-body indirect human calorimeter, which provides 24-h energy expenditure (TEE) with high precision and accuracy, the accuracy of predicting energy expenditure (EE) using an activity diary (AD) method was evaluated. Observed and predicted basal metabolic rate (BMR) as well as literature values for typical physical activities were used for TEE prediction. The effect of the number of recorded items in the activity diary on the accuracy of TEE was also examined. Additionally, predicted EE was divided into sleeping, exercise, and sedentary EE to evaluate the estimation errors in the AD method. Subjects were 20- to 69-y-old Japanese women (n = 20) and men (n= 21). Predicted TEE based on the AD was derived by applying the observed or predicted BMR to literature values for physical activities; i.e., relative metabolic rate (R.M.R.), physical activity ratio (PAR), and metabolic equivalent (MET). The BMR value observed for each subject was obtained by indirect calorimetry using a Douglas bag. The BMR for the subject was also estimated from the predictive equations in the 6th revision of the Recommended Dietary Allowances for the Japanese (1999). The correlations between observed and predicted TEE appeared stronger when using observed BMR than those using predicted BMR. Although the difference of mean values between the predicted and observed TEE was small, the limits of agreement between the predicted and observed TEE were around +/- 400 kcal. Predicted EE, excluding the time periods for exercise and rest laying down when determining BMR, showed similar results to those of TEE. Furthermore, the number of recorded items in the AD was not significantly correlated to the accuracy of the predicted TEE (r = -0.03). These findings indicate that the predicted TEE of the AD using observed or predicted BMR and literature values is favorably comparable to observed TEE using a whole-body human calorimeter on a group basis; however, its use as a proxy measure of TEE or EE on an individual basis may be limited.
与通过全身间接人体热量计测定的能量消耗相比,全身间接人体热量计能高精度、准确地提供24小时能量消耗(TEE),本研究评估了使用活动日记(AD)法预测能量消耗(EE)的准确性。利用观察到的和预测的基础代谢率(BMR)以及典型身体活动的文献值来预测TEE。还研究了活动日记中记录项目的数量对TEE准确性的影响。此外,将预测的EE分为睡眠、运动和久坐时的EE,以评估AD法中的估计误差。受试者为20至69岁的日本女性(n = 20)和男性(n = 21)。基于AD预测的TEE是通过将观察到的或预测的BMR应用于身体活动的文献值得出的;即相对代谢率(R.M.R.)、身体活动比率(PAR)和代谢当量(MET)。通过使用道格拉斯袋进行间接量热法获得每个受试者观察到的BMR值。还根据《日本膳食营养素参考摄入量》第6版(1999年)中的预测方程估算受试者的BMR。与使用预测的BMR相比,使用观察到的BMR时,观察到的和预测的TEE之间的相关性似乎更强。尽管预测的和观察到的TEE之间的平均值差异很小,但预测的和观察到的TEE之间的一致性界限约为±400千卡。在确定BMR时,排除运动和静卧休息时间段后的预测EE显示出与TEE相似的结果。此外,AD中记录项目的数量与预测TEE的准确性无显著相关性(r = -0.03)。这些发现表明,基于观察到的或预测的BMR以及文献值,AD预测的TEE在群体基础上与使用全身人体热量计观察到的TEE具有良好的可比性;然而,将其作为个体基础上TEE或EE的替代指标使用可能会受到限制。