使用双标水法对亚利桑那活动频率问卷进行验证。
Validation of the Arizona Activity Frequency Questionnaire using doubly labeled water.
作者信息
Staten L K, Taren D L, Howell W H, Tobar M, Poehlman E T, Hill A, Reid P M, Ritenbaugh C
机构信息
College of Public Health, Arizona Cancer Center, and Department of Nutritional Sciences, University of Arizona, Tucson, AZ 85721, USA.
出版信息
Med Sci Sports Exerc. 2001 Nov;33(11):1959-67. doi: 10.1097/00005768-200111000-00024.
PURPOSE
Physical activity questionnaires (PAQs) are considered the most cost-efficient method to estimate total energy expenditure (TEE) in epidemiological studies. However, relatively few PAQs have been validated using doubly labeled water (DLW) in women or in samples with diverse ethnic backgrounds. This study was conducted to validate the Arizona Activity Frequency Questionnaire (AAFQ) for estimation of TEE and physical activity energy expenditure (PAEE) over 1 month using DLW as a reference method.
METHODS
Thirty-five relatively sedentary women completed the AAFQ before participating in an 8-d DLW protocol to measure TEE. TEE and PAEE were estimated from the AAFQ by calculating resting metabolic rate (RMR) using the equation of Mifflin et al. (AAFQmif), by measuring RMR using indirect calorimetry (AAFQic), and using MET conversion (AAFQmet). A predictive equation for TEE was generated.
RESULTS
The mean +/- SD for TEE and PAEE from DLW were 9847 +/- 2555 kJ x d(-1) and 5578 +/- 2084 kJ x d(-1), respectively. Formulas using RMR to calculate the TEE and PAEE from the AAFQ tended to underestimate TEE and PAEE, whereas those that included only weight tended to overestimate TEE and PAEE. On the basis of the Mifflin et al. equation, the AAFQ tends to underestimate PAEE by 13%. This underestimation may be explained by the low lean body mass of the sample population and by effectiveness of the METs/RMR ratio in the obese. The following predictive equation was calculated: TEE (kJ x d(-1)) = (86.0 * average total daily METs) + (2.23 * RMRmif) - 6726. When the predictive equation is used, TEE calculated from the AAFQ is highly correlated with DLW TEE (adjusted r(2) = 0.70, P < 0.001).
CONCLUSION
The AAFQ is an effective tool for the prediction of TEE and PAEE in epidemiological studies.
目的
在流行病学研究中，体力活动问卷（PAQ）被认为是估计总能量消耗（TEE）最具成本效益的方法。然而，相对较少的PAQ在女性或具有不同种族背景的样本中使用双标水（DLW）进行过验证。本研究旨在以DLW作为参考方法，验证亚利桑那活动频率问卷（AAFQ）在估计1个月内的TEE和体力活动能量消耗（PAEE）方面的有效性。
方法
35名相对久坐的女性在参与为期8天的DLW方案以测量TEE之前完成了AAFQ。通过使用米夫林等人的方程计算静息代谢率（RMR）（AAFQmif）、使用间接量热法测量RMR（AAFQic）以及使用代谢当量转换（AAFQmet），从AAFQ估计TEE和PAEE。生成了TEE的预测方程。
结果
DLW得出的TEE和PAEE的平均值±标准差分别为9847±2555kJ·d⁻¹和5578±2084kJ·d⁻¹。使用RMR从AAFQ计算TEE和PAEE的公式往往低估TEE和PAEE，而仅包含体重的公式则往往高估TEE和PAEE。基于米夫林等人的方程，AAFQ往往低估PAEE 13%。这种低估可能由样本人群的低瘦体重以及肥胖者中代谢当量/静息代谢率比值的有效性来解释。计算出以下预测方程：TEE（kJ·d⁻¹）=（86.0×平均每日总代谢当量）+（2.23×RMRmif）-6726。当使用该预测方程时，从AAFQ计算出的TEE与DLW得出的TEE高度相关（调整后r² = 0.70，P < 0.001）。
结论
在流行病学研究中，AAFQ是预测TEE和PAEE的有效工具。
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