Dietary intake provides some of the most valuable insights for mounting intervention programs for prevention. However, accurate assessment of diet is problematic. Immerging technology in mobile- telephones (cell phones) with higher resolution pictures, improved memory capacity, and faster processors, allow these devices to process information not previously possible. This project addresses several objectives of RFA-CA-07-032 by using cell phones to capture both visual and recorded detail that is electronically submitted to the researcher;eases respondent burden;and provides accurate estimates of nutrient, food, and supplement intakes. To adequately address these challenges, the research team assembled represents expertise in electrical engineering, computers, information science, nutritional epidemiology, stable isotopes, and statistics. Our goal is to develop, implement, and evaluate a mobile telephone food record (mpFR) that will translate to an accurate account of daily food and nutrient intake among adults. Our first steps include development of imaging software for use with digital photographs that will estimate quantities of foods consumed, modification of the FNDDS nutrient database, and development of user-friendly interfaces. Mobile telephones are widely used throughout the world and can provide a unique mechanism for collecting dietary information that reduces burden on record keepers. Pictures of food can be marked with a variety of input methods that link the item for image processing and analysis for quantification of food consumed. We plan to recruit a sample of adults to consume meals of precisely known composition while using the mpFR under controlled conditions to aid with quantifying the error associated with the food and nutrient output. The users of the mpFR under these controlled conditions will provide feedback for improving the accuracy and ease of use of the mpFR. A convenient sample of 103 free-living, healthy adults between 21 and 70 y will participate in the validation phase where total energy expenditure will be measured over 7 days with doubly labeled water and compared to total energy intake over the same 7 days as estimated from the mpFR. It is anticipated that the outcome of this project will be an innovate tool that can be used in population and clinical based studies to provide accurate dietary intake data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01CA130784-04S2
Application #
8144690
Study Section
Special Emphasis Panel (ZCA1-SRRB-U (M1))
Program Officer
Reedy, Jill
Project Start
2007-08-10
Project End
2011-08-31
Budget Start
2010-08-17
Budget End
2011-08-31
Support Year
4
Fiscal Year
2010
Total Cost
$1,000
Indirect Cost
Name
Purdue University
Department
Nutrition
Type
Other Domestic Higher Education
DUNS #
072051394
City
West Lafayette
State
IN
Country
United States
Zip Code
47907
Wang, Yu; He, Ye; Boushey, Carol J et al. (2018) Context Based Image Analysis With Application in Dietary Assessment and Evaluation. Multimed Tools Appl 77:19769-19794
Panizza, Chloe E; Boushey, Carol J; Delp, Edward J et al. (2017) Characterizing Early Adolescent Plate Waste Using the Mobile Food Record. Nutrients 9:
Wang, Yu; Zhu, Fengqing; Boushey, Carol J et al. (2017) WEAKLY SUPERVISED FOOD IMAGE SEGMENTATION USING CLASS ACTIVATION MAPS. Proc Int Conf Image Proc 2017:1277-1281
Boushey, C J; Spoden, M; Zhu, F M et al. (2017) New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods. Proc Nutr Soc 76:283-294
Howes, Erica; Boushey, Carol J; Kerr, Deborah A et al. (2017) Image-Based Dietary Assessment Ability of Dietetics Students and Interns. Nutrients 9:
Fang, Shaobo; Zhu, Fengqing; Boushey, Carol J et al. (2017) THE USE OF CO-OCCURRENCE PATTERNS IN SINGLE IMAGE BASED FOOD PORTION ESTIMATION. IEEE Glob Conf Signal Inf Process 2017:462-466
Boushey, Carol J; Spoden, Melissa; Delp, Edward J et al. (2017) Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults. Nutrients 9:
Bathgate, Katherine E; Sherriff, Jill L; Leonard, Helen et al. (2017) Feasibility of Assessing Diet with a Mobile Food  Record for Adolescents and Young Adults with  Down Syndrome. Nutrients 9:
Kerr, Deborah A; Dhaliwal, Satvinder S; Pollard, Christina M et al. (2017) BMI is Associated with the Willingness to Record Diet  with  a  Mobile  Food  Record  among  Adults  Participating in Dietary Interventions. Nutrients 9:
Wang, Yu; Fang, Shaobo; Liu, Chang et al. (2016) FOOD IMAGE ANALYSIS: THE BIG DATA PROBLEM YOU CAN EAT! Conf Rec Asilomar Conf Signals Syst Comput 2016:1263-1267

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