Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies?
Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies?
复制标题
DOI：
10.1186/1742-5573-7-2
复制
发表时间：
2010-01-20
期刊：
影响因子：
--
通讯作者：
Potischman N
中科院分区：
文献类型：
--
作者：
Freedman LS;Kipnis V;Schatzkin A;Tasevska N;Potischman N
在营养队列研究中确定饮食与疾病的关系受到自我报告摄入量测量误差的困扰。作者建议使用已知与饮食摄入相关的生物标志物，以加强对饮食疾病假说的分析。作者考虑使用主成分、Howe方法或双变量模型中效应的联合统计检验来结合自我报告的摄入量和生物标志物水平。他们比较了这些方法与传统的自我报告摄入量或生物标志物水平的单变量分析的统计功效。他们使用计算机模拟不同的疾病风险模型，输入参数基于叶黄素摄入量与年龄相关性黄斑变性之间关系的文献数据。结果表明，如果饮食对疾病的影响完全是通过生物标志物水平介导的，那么生物标志物的单变量分析是最有效的方法。然而，组合方法，特别是主成分和Howe的方法，在这种情况下并没有很大的劣势，并一样好，或优于单变量生物标志物分析，如果调解只是部分或不存在。在某些情况下，样本量要求减少到传统分析自我报告摄入量所需的20-50%。作者得出结论，（i）除了队列中的常规饮食数据外，还包括生物标志物数据可以大大加强饮食-疾病关系的调查，（ii）当通过生物标志物进行调解的程度未知时，使用主成分或Howe方法似乎是一种很好的策略。
Identifying diet-disease relationships in nutritional cohort studies is plagued by the measurement error in self-reported intakes. The authors propose using biomarkers known to be correlated with dietary intake, so as to strengthen analyses of diet-disease hypotheses. The authors consider combining self-reported intakes and biomarker levels using principal components, Howe's method, or a joint statistical test of effects in a bivariate model. They compared the statistical power of these methods with that of conventional univariate analyses of self-reported intake or of biomarker level. They used computer simulation of different disease risk models, with input parameters based on data from the literature on the relationship between lutein intake and age-related macular degeneration. The results showed that if the dietary effect on disease was fully mediated through the biomarker level, then the univariate analysis of the biomarker was the most powerful approach. However, combination methods, particularly principal components and Howe's method, were not greatly inferior in this situation, and were as good as, or better than, univariate biomarker analysis if mediation was only partial or non-existent. In some circumstances sample size requirements were reduced to 20-50% of those required for conventional analyses of self-reported intake. The authors conclude that (i) including biomarker data in addition to the usual dietary data in a cohort could greatly strengthen the investigation of diet-disease relationships, and (ii) when the extent of mediation through the biomarker is unknown, use of principal components or Howe's method appears a good strategy.