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）

基本信息

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
项目类别：
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

项目摘要

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.

项目概要/摘要饮食评估方法的错误削弱了饮食与慢性病结果之间的关联，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提供的功能通过经济高效、方便、及时和熟悉的渠道接触广泛受众的机会。适当地经过构建和验证，这些工具将消除传统纸张所需的劳动密集型编码和访谈方法。成功创建了涉及科学和行为多个专业领域的工具需要一个多学科的科学家团队。对于一些人来说，提案中代表的研究小组已经致力于推进膳食评估方法。我们在利用无处不在且流行的移动电话、被动方法和自动自我识别的可用性进行 24 小时饮食评估 (ASA24)。我们的研究小组代表了以下机构之间的合作伙伴关系：营养科学家/流行病学家、专门从事图像分析的工程师、注册营养师以及生物统计。已完成多项研究证明技术辅助饮食的功效通过使用移动食品记录（mFR）应用程序评估（TADA）系统，我们认识到拥有多种经过验证的工具，可以更好地适应不同的研究问题、由于年龄或认知水平。由我们所有人研究计划支持的精准健康营养提供了使用现代和新颖的方法测试多种饮食评估方法的独特机会。为了充分利用这个机会，我们将部署ASA24基于网络的工具；移动食品记录 (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)。进一步，我们将结合方法，包括 ASA24 作为饮食记录以及 ASA24 与 mFR 相结合。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，定义饮食与疾病的关系，并评估干预计划的有效性。