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Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Energy and Protein Intake

机译:饮食自我报告工具的5个验证研究的汇总结果这些研究使用回收生物标记物进行能量和蛋白质摄入

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摘要

We pooled data from 5 large validation studies of dietary self-report instruments that used recovery biomarkers as references to clarify the measurement properties of food frequency questionnaires (FFQs) and 24-hour recalls. The studies were conducted in widely differing US adult populations from 1999 to 2009. We report on total energy, protein, and protein density intakes. Results were similar across sexes, but there was heterogeneity across studies. Using a FFQ, the average correlation coefficients for reported versus true intakes for energy, protein, and protein density were 0.21, 0.29, and 0.41, respectively. Using a single 24-hour recall, the coefficients were 0.26, 0.40, and 0.36, respectively, for the same nutrients and rose to 0.31, 0.49, and 0.46 when three 24-hour recalls were averaged. The average rate of under-reporting of energy intake was 28% with a FFQ and 15% with a single 24-hour recall, but the percentages were lower for protein. Personal characteristics related to under-reporting were body mass index, educational level, and age. Calibration equations for true intake that included personal characteristics provided improved prediction. This project establishes that FFQs have stronger correlations with truth for protein density than for absolute protein intake, that the use of multiple 24-hour recalls substantially increases the correlations when compared with a single 24-hour recall, and that body mass index strongly predicts under-reporting of energy and protein intakes.
机译:我们汇总了5项饮食自我报告工具的大型验证研究中的数据,这些研究使用了恢复生物标志物作为参考,以澄清食物频率问卷(FFQ)和24小时召回的测量属性。这项研究是在1999年至2009年间针对美国成年人口进行的。我们报告了总能量,蛋白质和蛋白质密度摄入量。男女之间的结果相似,但研究之间存在异质性。使用FFQ,能量,蛋白质和蛋白质密度的报告摄入量与实际摄入量的平均相关系数分别为0.21、0.29和0.41。使用单个24小时召回率,相同营养素的系数分别为0.26、0.40和0.36,而平均三个24小时召回率则分别上升到0.31、0.49和0.46。 FFQ的平均能量摄入不足报告率为28%,一次24小时召回的平均漏报告率为15%,但蛋白质的百分比较低。与漏报相关的个人特征是体重指数,教育水平和年龄。包含个人特征的实际摄入量校正公式可改善预测结果。该项目确定,FFQ与蛋白质密度的真实性比绝对蛋白质摄入量具有更强的相关性,与单次24小时召回相比,使用多个24小时召回显着增加了相关性,并且体重指数强烈预测-报告能量和蛋白质摄入量。

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