Suppr超能文献

膳食评估(DIASS)研究:一项评估研究的设计,旨在评估一种创新膳食评估方法的有效性、可用性和感知负担。

DIetary ASSessment (DIASS) Study: Design of an Evaluation Study to Assess Validity, Usability and Perceived Burden of an Innovative Dietary Assessment Methodology.

机构信息

Department of Agrotechnology and Food Sciences, Division of Human Nutrition and Health, Wageningen University and Research, 6700 AA Wageningen, The Netherlands.

出版信息

Nutrients. 2022 Mar 9;14(6):1156. doi: 10.3390/nu14061156.

Abstract

During recent years, the integration of technology has substantially improved self-reported dietary assessment methods, such as food frequency questionnaires (FFQ), food records, and 24-h recalls. To further reduce measurement error, additional innovations are urgently needed. Memory-related measurement error is one of the aspects that warrants attention, which is where new smartphone technologies and ecological momentary assessment (EMA) approaches provide a unique opportunity. In this article, we describe the DIASS study, which was designed to evaluate an innovative 2-h recall (2hR) smartphone-based methodology, against traditional 24-h recalls, FFQ, and biomarkers, to assess both actual and habitual dietary intake. It is hypothesized that a 2-h reporting window decreases reliance on memory and reporting burden, and increases data accuracy. We included 215 men (28%) and women (72%), with a mean ± SD age of 39 ± 19 years and a mean ± SD BMI of 23.8 ± 4.0. Most participants were highly educated (58%). Response rates for the various dietary assessment methods were >90%. Besides the evaluation of the accuracy, usability, and perceived burden of the 2hR methodology, the study set-up also allows for (further) evaluation of the other administrated dietary assessment tools.

摘要

近年来,技术的融合极大地改进了自我报告的饮食评估方法,如食物频率问卷 (FFQ)、食物记录和 24 小时回忆。为了进一步减少测量误差,迫切需要更多的创新。与记忆相关的测量误差是需要注意的一个方面,这正是新的智能手机技术和生态瞬时评估 (EMA) 方法提供独特机会的地方。在本文中,我们描述了 DIASS 研究,该研究旨在评估一种创新的 2 小时回忆 (2hR) 智能手机方法,该方法与传统的 24 小时回忆、FFQ 和生物标志物相结合,评估实际和习惯性的饮食摄入。研究假设 2 小时的报告窗口减少了对记忆的依赖和报告负担,并提高了数据的准确性。我们纳入了 215 名男性 (28%) 和女性 (72%),平均年龄 ± 标准差为 39 ± 19 岁,平均 BMI ± 标准差为 23.8 ± 4.0。大多数参与者受教育程度较高 (58%)。各种饮食评估方法的应答率>90%。除了评估 2hR 方法的准确性、可用性和感知负担外,该研究还允许 (进一步) 评估其他管理的饮食评估工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8f4/8949267/cbda351b9fe4/nutrients-14-01156-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验