Marshall J R, Chen Z
Arizona Cancer Center, College of Medicine, University of Arizona, Tucson 85724, USA.
Am J Clin Nutr. 1999 Jun;69(6):1351S-1356S. doi: 10.1093/ajcn/69.6.1351S.
Whether such epidemiologic descriptors as relative risk, dose response, and threshold points convey meaningful information is often the subject of debate. Thus, using these descriptors to juxtapose the many disease-specific effects of nutritional exposures becomes problematic. In this article it is argued that epidemiologic patterns of disease-exposure associations must be interpreted in light of the profound imprecision of exposure assessment that characterizes nutritional epidemiology. In general, this imprecision leads to substantial attenuation of disease-exposure associations, such that relative risk, dose response, and the extent to which there are thresholds in disease-exposure associations can be seriously underestimated. Linking disease-specific relative risks, especially when derived from different studies with different methods of assessing exposure, is made increasingly difficult. The most critical tasks for lessening bias in these epidemiologic descriptors are first, to lessen imprecision in measuring exposures, and second, to adjust association estimates for attenuation due to measurement imprecision.
诸如相对风险、剂量反应和阈值点等流行病学描述符是否传达有意义的信息常常是争论的主题。因此,使用这些描述符来并列营养暴露的多种疾病特异性影响就成了问题。本文认为,必须根据营养流行病学中暴露评估的严重不精确性来解释疾病-暴露关联的流行病学模式。一般来说,这种不精确性会导致疾病-暴露关联的大幅减弱,以至于相对风险、剂量反应以及疾病-暴露关联中存在阈值的程度可能会被严重低估。将疾病特异性相对风险联系起来,尤其是当它们来自采用不同暴露评估方法的不同研究时,变得越来越困难。减少这些流行病学描述符中偏差的最关键任务,首先是减少测量暴露时的不精确性,其次是对由于测量不精确导致的减弱进行关联估计调整。