R01CA244404
Project Grant
Overview
Grant Description
Mobile Ecological Momentary Diet Assessment: A Low Burden, Ecologically-Valid Approach to Measuring Dietary Intake in Near-Real Time - Abstract
The excessive intake of saturated fat and added sugars has been identified as a leading cause of premature mortality among adults in the U.S., contributing to approximately 700,000 deaths each year. The 2015-2020 Dietary Guidelines for Americans recommend limiting these nutrients to <10% total energy intake to prevent disease. Achieving these public health recommendations will require understanding the patterns of saturated fat and added sugar intake so more effective dietary interventions can be developed.
Traditionally, estimates of saturated fat and added sugar intake are measured using food frequency questionnaires or 24-Hour Dietary Recalls (24HR). These methods are time-intensive and cognitively taxing for users and costly for researchers. They are also highly prone to recall bias and misreporting, partly due to the reliance on a person's memory over long recall intervals and errors in portion size estimation.
The proposed dietary assessment method aims to address these limitations with Ecological Momentary Assessment (EMA). EMA uses updated technology and sampling methods that can update and improve upon traditional assessment methods. EMA studies often use mobile phone apps to assess events with brief, automated surveys delivered periodically throughout the day. EMA can, thereby, shorten recall intervals to improve reporting errors and reduce user and researcher burden while maximizing ecological validity.
To date, mobile EMA methods for diet assessment (MEMDA) used in research have been study-specific. They have not been systematically developed nor optimized for widespread use in research. This project would represent the first research-quality and fully automated, EMA-based mobile dietary assessment research tool. In recent pilot work, we demonstrated the potential utility of MEMDA. A brief mobile survey performed as well as web-assisted 24HR to estimate the intake of predefined snack foods.
Here, the goal of the proposed project is to systematically develop and test a MEMDA app and sampling approach to accurately estimate the intake of saturated fat and added sugars in a diverse population. To do this, we will derive a culturally- and demographically representative list of foods and beverages that contribute a majority (>70%) of the saturated fat and added sugars in the American diet using recent NHANES data (Aim 1); develop with a user-centered design the MEMDA app and analysis platform with visual food images for portion size estimation and nutrient analysis capabilities (Aim 2); determine the best MEMDA sampling approach (event-contingent vs. interval-contingent sampling) (Aim 3); and compare the accuracy of estimating energy intake from saturated fat and added sugars using the optimized MEMDA app and sampling approach vs. interviewer-assisted 24HR in a controlled-feeding study.
Future applications of the MEMDA app include: (1) reliably assessing momentary intakes of other foods or nutrients (e.g., fruit and vegetable intake, sodium), (2) integration with mobile intervention platforms to give real-time, dietary feedback to participants, and (3) concurrent-capturing meal context variables (e.g., social, environmental, and psycho-social variables) for future, just-in-time dietary interventions.
The excessive intake of saturated fat and added sugars has been identified as a leading cause of premature mortality among adults in the U.S., contributing to approximately 700,000 deaths each year. The 2015-2020 Dietary Guidelines for Americans recommend limiting these nutrients to <10% total energy intake to prevent disease. Achieving these public health recommendations will require understanding the patterns of saturated fat and added sugar intake so more effective dietary interventions can be developed.
Traditionally, estimates of saturated fat and added sugar intake are measured using food frequency questionnaires or 24-Hour Dietary Recalls (24HR). These methods are time-intensive and cognitively taxing for users and costly for researchers. They are also highly prone to recall bias and misreporting, partly due to the reliance on a person's memory over long recall intervals and errors in portion size estimation.
The proposed dietary assessment method aims to address these limitations with Ecological Momentary Assessment (EMA). EMA uses updated technology and sampling methods that can update and improve upon traditional assessment methods. EMA studies often use mobile phone apps to assess events with brief, automated surveys delivered periodically throughout the day. EMA can, thereby, shorten recall intervals to improve reporting errors and reduce user and researcher burden while maximizing ecological validity.
To date, mobile EMA methods for diet assessment (MEMDA) used in research have been study-specific. They have not been systematically developed nor optimized for widespread use in research. This project would represent the first research-quality and fully automated, EMA-based mobile dietary assessment research tool. In recent pilot work, we demonstrated the potential utility of MEMDA. A brief mobile survey performed as well as web-assisted 24HR to estimate the intake of predefined snack foods.
Here, the goal of the proposed project is to systematically develop and test a MEMDA app and sampling approach to accurately estimate the intake of saturated fat and added sugars in a diverse population. To do this, we will derive a culturally- and demographically representative list of foods and beverages that contribute a majority (>70%) of the saturated fat and added sugars in the American diet using recent NHANES data (Aim 1); develop with a user-centered design the MEMDA app and analysis platform with visual food images for portion size estimation and nutrient analysis capabilities (Aim 2); determine the best MEMDA sampling approach (event-contingent vs. interval-contingent sampling) (Aim 3); and compare the accuracy of estimating energy intake from saturated fat and added sugars using the optimized MEMDA app and sampling approach vs. interviewer-assisted 24HR in a controlled-feeding study.
Future applications of the MEMDA app include: (1) reliably assessing momentary intakes of other foods or nutrients (e.g., fruit and vegetable intake, sodium), (2) integration with mobile intervention platforms to give real-time, dietary feedback to participants, and (3) concurrent-capturing meal context variables (e.g., social, environmental, and psycho-social variables) for future, just-in-time dietary interventions.
Awardee
Funding Goals
TO IDENTIFY CANCER RISKS AND RISK REDUCTION STRATEGIES, TO IDENTIFY FACTORS THAT CAUSE CANCER IN HUMANS, AND TO DISCOVER AND DEVELOP MECHANISMS FOR CANCER PREVENTION AND PREVENTIVE INTERVENTIONS IN HUMANS. RESEARCH PROGRAMS INCLUDE: (1) CHEMICAL, PHYSICAL AND MOLECULAR CARCINOGENESIS, (2) SCREENING, EARLY DETECTION AND RISK ASSESSMENT, INCLUDING BIOMARKER DISCOVERY, DEVELOPMENT AND VALIDATION, (3) EPIDEMIOLOGY, (4) NUTRITION AND BIOACTIVE FOOD COMPONENTS, (5) IMMUNOLOGY AND VACCINES, (6) FIELD STUDIES AND STATISTICS, (7) CANCER CHEMOPREVENTION AND INTERCEPTION, (8) PRE-CLINICAL AND CLINICAL AGENT DEVELOPMENT, (9) ORGAN SITE STUDIES AND CLINICAL TRIALS, (10) HEALTH-RELATED QUALITY OF LIFE AND PATIENT-CENTERED OUTCOMES, AND (11) SUPPORTIVE CARE AND MANAGEMENT OF SYMPTOMS AND TOXICITIES. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO EXPAND AND IMPROVE THE SBIR PROGRAM, TO STIMULATE TECHNICAL INNOVATION, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT FUNDING, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION IN INNOVATION AND ENTREPRENEURSHIP BY WOMEN AND SOCIALLY/ECONOMICALLY DISADVANTAGED PERSONS. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT FUNDING, AND FOSTER PARTICIPATION IN INNOVATION AND ENTREPRENEURSHIP BY WOMEN AND SOCIALLY/ECONOMICALLY DISADVANTAGED PERSONS.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Washington,
District Of Columbia
200570001
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 372% from $705,426 to $3,327,314.
Georgetown University was awarded
Mobile Ecological Momentary Diet Assessment: Low Burden Approach
Project Grant R01CA244404
worth $3,327,314
from National Cancer Institute in February 2021 with work to be completed primarily in Washington District Of Columbia United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.393 Cancer Cause and Prevention Research.
The Project Grant was awarded through grant opportunity Diet and Physical Activity Assessment Methodology (R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 6/5/25
Period of Performance
2/1/21
Start Date
1/31/26
End Date
Funding Split
$3.3M
Federal Obligation
$0.0
Non-Federal Obligation
$3.3M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01CA244404
Transaction History
Modifications to R01CA244404
Additional Detail
Award ID FAIN
R01CA244404
SAI Number
R01CA244404-1944335414
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NC00 NIH National Cancer Institute
Funding Office
75NC00 NIH National Cancer Institute
Awardee UEI
TF2CMKY1HMX9
Awardee CAGE
0UVA6
Performance District
DC-98
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Cancer Institute, National Institutes of Health, Health and Human Services (075-0849) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,368,444 | 100% |
Modified: 6/5/25