Empirical evidence of correlated biases in dietary assessment instruments and its implications
Empirical evidence of correlated biases in dietary assessment instruments and its implications
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DOI：
10.1093/aje/153.4.394
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发表时间：
2001-02-15
影响因子：
5
通讯作者：
Carroll, RJ
中科院分区：
文献类型：
--
作者：
Kipnis, V;Midthune, D;Carroll, RJ
目前，多天食品记录或24小时召回被用作“参考”工具，以校准食品频率问卷(FFQ)，并调整营养流行病学研究的结果，以消除测量误差。通常的调整是基于这样的关键要求，即参考仪器中的误差与FFQ中的误差和真实摄入量的误差无关。当使用尿氮水平的数据时，有证据表明，膳食报告参考仪器不符合这些要求。尿氮水平是氮摄入量的有效参考生物标志物。在这篇文章中，作者介绍了一个新的模型，该模型包括FFQ和饮食报告参考工具，与真实摄入量相关的群体特定偏向和相关的个人特定偏向。数据来自1988-1990年间在英国剑桥邓恩临床营养中心对160名女性进行的饮食评估验证研究。使用这项研究的生物标记物测量和饮食报告测量，作者将新模型与文献中提出的替代测量误差模型进行了比较，并证明它提供了与数据最好的拟合。新的模型表明，对于这些数据，FFQ中的测量误差可能会导致真实营养效应的衰减增加51%，需要进行比标准方法估计的2.3倍大的研究。讨论了这些结果对基于FFQ的流行病学研究发现重要的饮食与疾病关联的能力的影响。
Multiple-day food records or 24-hour recalls are currently used as "reference" instruments to calibrate food frequency questionnaires (FFQs) and to adjust findings from nutritional epidemiologic studies for measurement error. The common adjustment is based on the critical requirements that errors in the reference instrument be independent of those in the FFQ and of true intake. When data on urinary nitrogen level, a valid reference biomarker for nitrogen intake, are used, evidence suggests that a dietary report reference instrument does not meet these requirements. In this paper, the authors introduce a new model that includes, for both the FFQ and the dietary report reference instrument, group-specific biases related to true intake and correlated person-specific biases. Data were obtained from a dietary assessment validation study carried out among 160 women at the Dunn Clinical Nutrition Center, Cambridge, United Kingdom, in 1988-1990. Using the biomarker measurements and dietary report measurements from this study, the authors compare the new model with alternative measurement error models proposed in the literature and demonstrate that it provides the best fit to the data. The new model suggests that, for these data, measurement error in the FFQ could lead to a 51% greater attenuation of true nutrient effect and the need for a 2.3 times larger study than would be estimated by the standard approach. The implications of the results for the ability of FFQ-based epidemiologic studies to detect important diet-disease associations are discussed.