Freedman Laurence S, Commins John M, Willett Walter, Tinker Lesley F, Spiegelman Donna, Rhodes Donna, Potischman Nancy, Neuhouser Marian L, Moshfegh Alanna J, Kipnis Victor, Baer David J, Arab Lenore, Prentice Ross L, Subar Amy F
Am J Epidemiol. 2017 Jul 1;186(1):73-82. doi: 10.1093/aje/kwx039.
Calibrating dietary self-report instruments is recommended as a way to adjust for measurement error when estimating diet-disease associations. Because biomarkers available for calibration are limited, most investigators use self-reports (e.g., 24-hour recalls (24HRs)) as the reference instrument. We evaluated the performance of 24HRs as reference instruments for calibrating food frequency questionnaires (FFQs), using data from the Validation Studies Pooling Project, comprising 5 large validation studies using recovery biomarkers. Using 24HRs as reference instruments, we estimated attenuation factors, correlations with truth, and calibration equations for FFQ-reported intakes of energy and for protein, potassium, and sodium and their densities, and we compared them with values derived using biomarkers. Based on 24HRs, FFQ attenuation factors were substantially overestimated for energy and sodium intakes, less for protein and potassium, and minimally for nutrient densities. FFQ correlations with truth, based on 24HRs, were substantially overestimated for all dietary components. Calibration equations did not capture dependencies on body mass index. We also compared predicted bias in estimated relative risks adjusted using 24HRs as reference instruments with bias when making no adjustment. In disease models with energy and 1 or more nutrient intakes, predicted bias in estimated nutrient relative risks was reduced on average, but bias in the energy risk coefficient was unchanged.
推荐校准膳食自我报告工具,作为在估计饮食与疾病关联时调整测量误差的一种方法。由于可用于校准的生物标志物有限,大多数研究者使用自我报告(如24小时回顾法(24HRs))作为参考工具。我们利用来自验证研究汇总项目的数据,评估了24HRs作为校准食物频率问卷(FFQs)参考工具的性能,该项目包含5项使用恢复生物标志物的大型验证研究。以24HRs作为参考工具,我们估计了FFQ报告的能量、蛋白质、钾和钠摄入量及其密度的衰减因子、与真实值的相关性以及校准方程,并将它们与使用生物标志物得出的值进行比较。基于24HRs,FFQ能量和钠摄入量的衰减因子被大幅高估,蛋白质和钾的衰减因子高估程度较小,营养素密度的衰减因子高估程度最小。基于24HRs,FFQ与所有膳食成分真实值的相关性被大幅高估。校准方程未体现出对体重指数的依赖性。我们还比较了以24HRs作为参考工具调整估计相对风险时的预测偏差与未进行调整时的偏差。在包含能量和一种或多种营养素摄入量的疾病模型中,估计营养素相对风险的预测偏差平均有所降低,但能量风险系数的偏差没有变化。