Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Executive Plaza North - Suite 3131, 6130 Executive Blvd - MSC 7354, Bethesda, MD 20892-7354, USA.
Public Health Nutr. 2011 Jul;14(7):1212-21. doi: 10.1017/S1368980011000632. Epub 2011 Apr 13.
To develop a method to validate an FFQ for reported intake of episodically consumed foods when the reference instrument measures short-term intake, and to apply the method in a large prospective cohort.
The FFQ was evaluated in a sub-study of cohort participants who, in addition to the questionnaire, were asked to complete two non-consecutive 24 h dietary recalls (24HR). FFQ-reported intakes of twenty-nine food groups were analysed using a two-part measurement error model that allows for non-consumption on a given day, using 24HR as a reference instrument under the assumption that 24HR is unbiased for true intake at the individual level.
The National Institutes of Health-AARP Diet and Health Study, a cohort of 567 169 participants living in the USA and aged 50-71 years at baseline in 1995.
A sub-study of the cohort consisting of 2055 participants.
Estimated correlations of true and FFQ-reported energy-adjusted intakes were 0·5 or greater for most of the twenty-nine food groups evaluated, and estimated attenuation factors (a measure of bias in estimated diet-disease associations) were 0·4 or greater for most food groups.
The proposed methodology extends the class of foods and nutrients for which an FFQ can be evaluated in studies with short-term reference instruments. Although violations of the assumption that the 24HR is unbiased could be inflating some of the observed correlations and attenuation factors, results suggest that the FFQ is suitable for testing many, but not all, diet-disease hypotheses in a cohort of this size.
开发一种验证频繁消费食物摄入量的 FFQ 的方法,当参考仪器测量短期摄入量时,将该方法应用于大型前瞻性队列研究。
该 FFQ 在队列参与者的子研究中进行了评估,除了问卷外,他们还被要求完成两次非连续 24 小时膳食回忆(24HR)。使用两部分测量误差模型分析 FFQ 报告的 29 种食物组的摄入量,该模型允许在给定日期不消费,假设 24HR 在个体水平上对真实摄入量无偏,将 24HR 用作参考仪器。
美国国立卫生研究院-美国退休人员协会饮食与健康研究,一个由 567169 名参与者组成的队列,他们在 1995 年基线时年龄在 50-71 岁之间,居住在美国。
队列的子研究由 2055 名参与者组成。
对于评估的 29 种食物组中的大多数,真实和 FFQ 报告的能量调整摄入量的估计相关性为 0.5 或更高,对于大多数食物组,估计的衰减因子(衡量估计的饮食-疾病关联中的偏差的指标)为 0.4 或更高。
所提出的方法扩展了可以在短期参考仪器研究中评估 FFQ 的食物和营养素的类别。尽管违反了 24HR 无偏的假设可能会夸大一些观察到的相关性和衰减因子,但结果表明,在这种规模的队列中,FFQ 适合测试许多但不是所有的饮食-疾病假设。