Kohlmeier L
Department of Nutrition and Epidemiology, University of North Carolina, Chapel Hill 27599-7400.
Am J Clin Nutr. 1995 Mar;61(3 Suppl):702S-709S. doi: 10.1093/ajcn/61.3.702S.
Nutritional epidemiology depends on valid assessment of exposure of individuals to food-borne factors. The tools being applied are generally blunt instruments that are simple for the scientist to administer and analyze. The burden of aggregating foods, combining amounts, drawing on episodic or generic memory, and interpreting the questions is placed on the subjects. Alternative approaches include enhanced use of biomarkers of exposure as external, internal, and target tissue markers. Because biomarkers exist for only a few substances of interest at the exposure time of interest, the future of subjective measures is likely to be in the development of subjective dietary assessment methods that apply modern technology, including audio systems to overcome literacy barriers and allow multilingual interviews, and pictures for identifying foods. Automated methods can ensure that all questions have been responded to and all responses outside of normal ranges have been double-checked. Computer-assisted self-interviewing (CASI) may prove to be the most economic and cognitively supportive approach for assessment of food-borne exposures in the future.
营养流行病学依赖于对个体接触食源因素情况的有效评估。所应用的工具通常较为粗略,对科学家来说便于操作和分析。汇总食物、合并数量、依靠情景或一般记忆以及解读问题的负担都落在了研究对象身上。其他方法包括更多地使用接触生物标志物作为外部、内部和靶组织标志物。由于在感兴趣的接触时间点,仅针对少数几种感兴趣的物质存在生物标志物,主观测量方法的未来可能在于开发应用现代技术的主观膳食评估方法,包括利用音频系统克服识字障碍并进行多语言访谈,以及使用图片来识别食物。自动化方法可以确保所有问题都得到回答,并且对所有超出正常范围的回答进行复查。计算机辅助自我访谈(CASI)可能被证明是未来评估食源接触情况最经济且对认知有支持作用的方法。