Traditional and New Dietary Assessment Methods (TANDAM) for Personalized Nutrition
Traditional and New Dietary Assessment Methods (TANDAM) for Personalized Nutrition
批准号:
10549801
负责人:
EDWARD J DELP
金额:
$143.91万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-01-12 至 2026-12-31
关键词:
AgeAll of Us Research ProgramAreaAssessment toolAttentionAttenuatedAutomationBehaviorBehavior TherapyBig Data MethodsBiomarker of Dietary IntakeCharacteristicsChronic DiseaseCodeCognitionCommunitiesComputersConsumer PreferencesControlled StudyDataData AnalyticsData CollectionData SecurityData Storage and RetrievalDevicesDietDiet RecordsDietary AssessmentDietary intakeDietitianDimensionsDiseaseDisease OutcomeDomicilesEatingEating BehaviorEffectivenessEnergy IntakeEngineeringEnsureEpidemiologistFoodFundingGoalsHealthHourHumanImageImage AnalysisIndividualIngestionIntakeInterviewLocationMachine LearningMalignant NeoplasmsMeasurementMeasuresMethodsModernizationMonitorObesityOutcome StudyPaperParticipantPatternPerformancePersonsPoliciesPopulationPopulation GroupPopulation HeterogeneityPrecision HealthProceduresProcessRandomized, Controlled TrialsReportingResearchResearch DesignResearch PersonnelResourcesSample SizeSamplingScienceScientistSecureSelf AdministrationSiteSystemTechnologyTelephoneTestingTimeTranslational ResearchUnited States National Institutes of HealthValidationVariantWomanWorkclinical centercomparativecostcost effectivedata ecosystemdata exchangedata managementdecision researchdesigndietarydoubly-labeled watereffectiveness evaluationelectronic dataepidemiology studyevidence baseexperiencefeedingimprovedintervention programmedical specialtiesmenmultidisciplinarynovelnutritionprecision nutritionpreferenceresponsescale upsensorsocialtoolweb-based tool
中文摘要
项目摘要/摘要
饮食评估方法中的错误削弱了饮食和慢性病结果之间的联系,
例如肥胖和癌症,这破坏了积极推行旨在改善饮食的政策的努力
人口中的摄入量。利用基于移动和基于图像的技术工具的功能
通过经济高效、方便、及时和熟悉的渠道接触到广泛受众的机会。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
和采访方法。成功地创建了一些工具,这些工具涉及科学和行为学的几个专业领域
需要一个多学科的科学家团队。对于几个人来说,提案中代表的研究小组已经
一直致力于改进膳食评估方法。我们已经取得了进展,利用
无处不在和流行的移动电话的可用性、被动方法和自动化自我
进行24小时饮食评估(ASA24)。我们的研究小组代表着两国之间的伙伴关系
营养学家/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。完成了多项研究,证明了技术辅助饮食的有效性
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
拥有多个经过验证的工具以更好地适应不同的研究问题、因以下原因而产生的变化
年龄或认知水平。由我们所有人研究计划提供的精确健康营养
一个独特的机会,测试多种方法的饮食评估使用现代和新的方法。充分地
利用这次机会,我们将部署ASA24基于Web的工具;移动食品记录(MFR),以及
基于图像的应用程序;以及被动方法,自动摄取监测器v2(AIM-2)。此外,我们将结合
方法采用ASA24作为膳食记录,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。
英文摘要
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.
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Traditional and New Dietary Assessment Methods (TANDAM) for Personalized Nutrition
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批准号:10875251
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项目类别:
-
资助金额:$44.09万
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财政年份:2023
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负责人:EDWARD J DELP
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依托单位:
海外基金