Paul David R, Rhodes Donna G, Kramer Matthew, Baer David J, Rumpler William V
Beltsville Human Nutrition Research Center, Diet and Human Performance Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD 20705, USA.
Am J Epidemiol. 2005 Oct 15;162(8):806-14. doi: 10.1093/aje/kwi279. Epub 2005 Aug 24.
Food frequency questionnaires are commonly used to assess habitual food intake. Although food frequency questionnaires are known to produce measurement error, the amount of error and effectiveness of correction methods are poorly understood. Twelve men from the Baltimore, MD/Washington, DC, area consumed an ad libitum diet for 16 weeks during the spring of 2001. At the end of the study period, subjects reported their food intakes with a food frequency questionnaire (Block 98). During weeks 8 and 16, subjects were dosed with doubly labeled water and maintained physical activity logs. Absolute and relative macronutrient intakes were poorly predicted by the food frequency questionnaire. The application of a single, group mean energy adjustment (using doubly labeled water or physical activity) reduced the variance of carbohydrate intake and increased the variance of fat and protein intakes, but none significantly (p>0.05). Subject-specific energy adjustments reduced the variance for carbohydrate and protein intakes (p<0.05). Including a body weight adjustment reduced the variance in fat intake (p<0.05) when doubly labeled water was used to first correct energy intake. The application of correction methods based on energy expenditure and body weight can be used to reduce measurement error, improving the ability of the food frequency questionnaire to measure food intake.
食物频率问卷通常用于评估习惯性食物摄入量。尽管已知食物频率问卷会产生测量误差，但误差的大小以及校正方法的有效性却知之甚少。2001年春季，来自马里兰州巴尔的摩市/华盛顿特区地区的12名男性自由进食16周。在研究期结束时，受试者通过食物频率问卷（Block 98）报告他们的食物摄入量。在第8周和第16周期间，给受试者服用双标水并记录身体活动日志。食物频率问卷对常量营养素的绝对摄入量和相对摄入量预测效果较差。应用单一的组平均能量校正（使用双标水或身体活动数据）可降低碳水化合物摄入量的方差，并增加脂肪和蛋白质摄入量的方差，但均无显著差异（p>0.05）。针对个体的能量校正降低了碳水化合物和蛋白质摄入量的方差（p<0.05）。当使用双标水首先校正能量摄入量时，纳入体重校正可降低脂肪摄入量的方差（p<0.05）。基于能量消耗和体重的校正方法的应用可用于减少测量误差，提高食物频率问卷测量食物摄入量的能力。
