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Dietary assessment methods in epidemiological research: current state of the art and future prospects

机译:流行病学研究中的饮食评估方法:当前技术水平和未来前景

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摘要

Self-reported dietary intake is assessed by methods of real-time recording (food diaries and the duplicate portion method) and methods of recall (dietary histories, food frequency questionnaires, and 24-hour dietary recalls). Being less labor intensive, recall methods are more frequently employed in nutritional epidemiological investigations. However, sources of error, which include the participants’ inability to fully and accurately recall their intakes as well as limitations inherent in the food composition databases applied to convert the reported food consumption to energy and nutrient intakes, may limit the validity of the generated information. The use of dietary biomarkers is often recommended to overcome such errors and better capture intra-individual variability in intake; nevertheless, it has its own challenges. To address measurement error associated with dietary questionnaires, large epidemiological investigations often integrate sub-studies for the validation and calibration of the questionnaires and/or administer a combination of different assessment methods (e.g. administration of different questionnaires and assessment of biomarker levels). Recent advances in the omics field could enrich the list of reliable nutrition biomarkers, whereas new approaches employing web-based and smart phone applications could reduce respondent burden and, possibly, reporting bias. Novel technologies are increasingly integrated with traditional methods, but some sources of error still remain. In the analyses, food and nutrient intakes always need to be adjusted for total daily energy intake to account for errors related to reporting.
机译:自我报告的饮食摄入量通过实时记录方法(食物日记和重复部分方法)和召回方法(饮食历史,食物频率调查表和24小时饮食召回)进行评估。由于劳动强度较低,召回方法在营养流行病学调查中更常用。但是,错误源包括参与者无法完全准确地回忆其摄入量,以及用于将报告的食物消耗转换为能量和营养摄入量的食物成分数据库固有的局限性,可能会限制所生成信息的有效性。 。通常建议使用饮食生物标志物来克服这些错误并更好地捕捉个体内摄入量的变化。但是,它有自己的挑战。为了解决与饮食调查表相关的测量误差,大型流行病学调查通常将子研究整合到调查表的验证和校准和/或管理不同评估方法的组合中(例如管理不同的调查表和评估生物标志物水平)。在组学领域的最新进展可能会丰富可靠的营养生物标志物,而采用基于Web和智能手机的新方法可以减轻受访者的负担,并可能减少报告偏差。新技术越来越多地与传统方法集成在一起,但是仍然存在一些错误源。在分析中,总需要为每日总能量摄入量调整食物和营养摄入量,以解决与报告有关的错误。

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