Curtin School of Population Health, Curtin University, Perth, WA, Australia.
Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia.
Adv Nutr. 2022 Dec 22;13(6):2620-2665. doi: 10.1093/advances/nmac085.
Error in self-reported food and beverage intake affects the accuracy of dietary intake data. Systematically synthesizing available data on contributors to error within and between food groups has not been conducted but may help inform error mitigation strategies. In this review we aimed to systematically identify, quantify, and compare contributors to error in estimated intake of foods and beverages, based on short-term self-report dietary assessment instruments, such as 24-h dietary recalls and dietary records. Seven research databases were searched for studies including self-reported dietary assessment and a comparator measure of observed intake (e.g., direct observation or controlled feeding studies) in healthy adults up until December 2021. Two reviewers independently screened and extracted data from included studies, recording quantitative data on omissions, intrusions, misclassifications, and/or portion misestimations. Risk of bias was assessed using the QualSyst tool. A narrative synthesis focused on patterns of error within and between food groups. Of 2328 articles identified, 29 met inclusion criteria and were included, corresponding to 2964 participants across 15 countries. Most frequently reported contributors to error were omissions and portion size misestimations of food/beverage items. Although few consistent patterns were seen in omission of consumed items, beverages were omitted less frequently (0-32% of the time), whereas vegetables (2-85%) and condiments (1-80%) were omitted more frequently than other items. Both under- and overestimation of portion size was seen for most single food/beverage items within study samples and most food groups. Studies considered and reported error in different ways, impeding the interpretation of how error contributors interact to impact overall misestimation. We recommend that future studies report 1) all error contributors for each food/beverage item evaluated (i.e., omission, intrusion, misclassification, and portion misestimation), and 2) measures of variation of the error. The protocol of this review was registered in PROSPERO as CRD42020202752 (https://www.crd.york.ac.uk/prospero/).
自我报告的食物和饮料摄入量的误差会影响饮食摄入数据的准确性。系统地综合现有关于食物和饮料各分组内和分组间误差来源的数据尚未进行,但可能有助于为误差缓解策略提供信息。在本综述中,我们旨在基于短期自我报告的饮食评估工具(如 24 小时膳食回忆和饮食记录),系统地识别、量化和比较估计食物和饮料摄入量的误差来源。在 2021 年 12 月之前,我们在七个研究数据库中搜索了包括自我报告的饮食评估和观察摄入的比较测量(例如,直接观察或控制喂养研究)的研究。两名审查员独立筛选和提取纳入研究的数据,记录关于遗漏、干扰、分类错误和/或部分估计错误的定量数据。使用 QualSyst 工具评估偏倚风险。叙述性综述侧重于食物和饮料各分组内和分组间的误差模式。在 2328 篇文章中,有 29 篇符合纳入标准并被纳入,涉及来自 15 个国家的 2964 名参与者。最常报告的误差来源是食物/饮料项目的遗漏和部分大小估计错误。尽管在消耗项目的遗漏方面没有看到一致的模式,但饮料的遗漏频率较低(0-32%的时间),而蔬菜(2-85%)和调味料(1-80%)的遗漏频率高于其他项目。在研究样本中,大多数单一食物/饮料项目和大多数食物组中都存在对部分大小的低估和高估。研究以不同的方式考虑和报告误差,阻碍了对误差来源如何相互作用影响总体估计错误的解释。我们建议未来的研究报告 1)评估的每个食物/饮料项目的所有误差来源(即遗漏、干扰、分类错误和部分估计错误),以及 2)误差变化的度量。本综述的方案已在 PROSPERO 中注册为 CRD42020202752(https://www.crd.york.ac.uk/prospero/)。