Traditional and New Dietary Assessment Methods (TANDAM) for Personalized Nutrition

个性化营养的传统和新膳食评估方法（TANDAM）

• 批准号: 10549801
• 负责人: EDWARD J DELP
• 金额: $ 143.91万
• 依托单位: UNIVERSITY OF HAWAII AT MANOA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-12 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10549801
• 关键词: Age; All of Us Research Program; Area; Assessment tool; Attention; Attenuated; Automation; Behavior; Behavior Therapy; Big Data Methods; Biomarker of Dietary Intake; Characteristics; Chronic Disease; Code; Cognition; Communities; Computers; Consumer Preferences; Controlled Study; Data; Data Analytics; Data Collection; Data Security; Data Storage and Retrieval; Devices; Diet; Diet Records; Dietary Assessment; Dietary intake; Dietitian; Dimensions; Disease; Disease Outcome; Domiciles; Eating; Eating Behavior; Effectiveness; Energy Intake; Engineering; Ensure; Epidemiologist; Food; Funding; Goals; Health; Hour; Human; Image; Image Analysis; Individual; Ingestion; Intake; Interview; Location; Machine Learning; Malignant Neoplasms; Measurement; Measures; Methods; Modernization; Monitor; Obesity; Outcome Study; Paper; Participant; Pattern; Performance; Persons; Policies; Population; Population Group; Population Heterogeneity; Precision Health; Procedures; Process; Randomized, Controlled Trials; Reporting; Research; Research Design; Research Personnel; Resources; Sample Size; Sampling; Science; Scientist; Secure; Self Administration; Site; System; Technology; Telephone; Testing; Time; Translational Research; United States National Institutes of Health; Validation; Variant; Woman; Work; clinical center; comparative; cost; cost effective; data ecosystem; data exchange; data management; decision research; design; dietary; doubly-labeled water; effectiveness evaluation; electronic data; epidemiology study; evidence base; experience; feeding; improved; intervention program; medical specialties; men; multidisciplinary; novel; nutrition; precision nutrition; preference; response; scale up; sensor; social; tool; web-based tool

PROJECT SUMMARY/ABSTRACT Errors in dietary assessment methods attenuate the association between diet and chronic disease outcomes, such as obesity and cancer, which derails efforts to aggressively pursue policies directed to improving dietary intakes in the population. Harnessing the capabilities of mobile-based and image-based technology tools offer an opportunity to reach a wide audience via cost-effective, convenient, timely, and familiar channels. Properly constructed and validated, these tools would eliminate the labor-intensive coding required for traditional paper and interview methods. Successfully creating tools which tap into several specialty areas of science and behavior requires a multidisciplinary team of scientists. For several, the research group represented in the proposal have been committed to advancing dietary assessment methods. We have made progress with harnessing the availability of the ubiquitous and popular mobile telephone, passive methods, and the Automated Self- Administered 24-Hour Dietary Assessment (ASA24). Our research group represents a partnership between nutrition scientists/epidemiologists, engineers specializing in image analysis, Registered Dietitians, and biostatistions. Having completed multiple studies demonstrating the efficacy of the Technology Assisted Dietary Assessment (TADA) system through the use of the mobile food record (mFR) app, we recognize the value of having multiple validated tools available to better accommodate diverse research questions, variations due to age or levels of cognition. The Nutrition for Precision Health powered by the All of Us Research Program provides a unique opportunity to test multiple methods of dietary assessment using modern and novel methods. To fully take advantage of this opportunity, we will deploy ASA24 web-based tool; the Mobile Food Record (mFR), an image based app; and a passive method, the Automatic Ingestion Monitor v2 (AIM-2). Further, we will combine methods and include the ASA24 as a dietary record and the ASA24 combined with the mFR. Advancing technology tools would facilitate precision dietary assessment and research translation to better comprehend eating behaviors, define diet-disease relationships, and assess the effectiveness of intervention programs.

项目总结/摘要 饮食评估方法的错误削弱了饮食与慢性疾病结果之间的关联， 例如肥胖和癌症，这使积极推行旨在改善饮食结构的政策的努力脱轨。 人口的摄入量。利用基于移动和基于图像的技术工具的功能， 通过具有成本效益、方便、及时和熟悉的渠道接触广大受众的机会。妥善 这些工具将消除传统纸张所需的劳动密集型编码 面试方法。成功地创建了深入科学和行为的几个专业领域的工具 需要多学科的科学家团队对于一些人来说，提案中所代表的研究小组已经 一直致力于推进膳食评估方法。我们在利用 无处不在和流行的移动的电话的可用性，被动方法，和自动自助 24小时膳食评估（ASA 24）我们的研究小组代表了 营养科学家/流行病学家、图像分析专业工程师、注册营养师，以及 生物保护完成多项研究，证明技术辅助饮食的功效 通过使用移动的食品记录（mFR）应用程序，我们认识到 有多种经过验证的工具可供使用，以更好地适应不同的研究问题， 年龄或认知水平。由All of Us研究计划提供支持的精准健康营养 这是一个独特的机会，可以使用现代和新颖的方法来测试多种饮食评估方法。充分 利用这个机会，我们将部署ASA 24基于网络的工具;移动的食品记录（mFR）， 基于图像的应用程序;以及被动方法，自动摄取监视器v2（AIM-2）。此外，我们将联合收割机 方法，包括作为饮食记录的ASA 24和与mFR组合的ASA 24。推进 技术工具将有助于精确的饮食评估和研究翻译，以更好地理解 饮食行为，确定饮食与疾病的关系，并评估干预计划的有效性。