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: 10386740
• 负责人: CAROL J BOUSHEY
• 金额: $ 141.05万
• 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/10386740
• 关键词: Age; All of Us Research Program; Area; Attention; Attenuated; Automation; Behavior; Behavior Therapy; Big Data Methods; Biomarker of Dietary Intake; Characteristics; Chronic Disease; Code; Cognition; Communities; Computers; Consumer Preferences; Controlled Study; Custom; Data; Data Analytics; Data Collection; Data Security; Data Storage and Retrieval; Devices; Diet; Diet Records; Dietary Assessment; Dietary intake; Dietitian; 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; 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; base; 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; randomized trial; 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.

项目摘要/摘要 饮食评估方法中的错误减弱了饮食与慢性疾病结局之间的关联， 例如肥胖和癌症，这使人们努力积极追求旨在改善饮食的政策 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提供 有机会通过具有成本效益，方便，及时和熟悉的频道吸引广泛的受众。适当地 这些工具经过构建和验证，将消除传统纸张所需的劳动密集型编码 和采访方法。成功创建工具，这些工具利用科学和行为的几个专业领域 需要一个多学科的科学家团队。对于几个提案中代表的研究小组 致力于推进饮食评估方法。我们在利用 无处不在且流行的移动电话，被动方法和自动自动化的自动化的可用性 管理24小时饮食评估（ASA24）。我们的研究小组代表了 营养科学家/流行病学家，专门从事图像分析的工程师，注册营养师和 生物统计。完成了多项研究，证明了技术的功效有助于饮食 评估（TADA）系统通过使用移动食品记录（MFR）应用程序，我们认识到的价值 拥有多种经过验证的工具，以更好地适应各种研究问题，这是由于 认知年龄或水平。由我们所有研究计划提供支持的精确健康营养 使用现代和新颖方法测试多种饮食评估方法的独特机会。完全 利用这个机会，我们将部署基于Web的工具；移动食品记录（MFR）， 基于图像的应用；和一种被动方法，即自动摄入监视器V2（AIM-2）。此外，我们将结合 方法并将ASA24作为饮食记录以及ASA24与MFR结合在一起。前进 技术工具将促进精确的饮食评估和研究翻译，以更好地理解 饮食行为，定义饮食疾病关系并评估干预计划的有效性。