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ARS Home » Plains Area » Grand Forks, North Dakota » Grand Forks Human Nutrition Research Center » Healthy Body Weight Research » Research » Publications at this Location » Publication #276708
Title: Multiple input modes for context appropriate diet reporting

Author
item SIELING, JARED - Mei Research, Ltd
item MOON, JON - Mei Research, Ltd
item Whigham Grendell, Leah
item Roemmich, James

Submitted to: International Society for Behavioral Nutrition and Physical Activity
Publication Type: Abstract Only
Publication Acceptance Date: 3/12/2012
Publication Date: 5/23/2012
Citation: Sieling, J., Moon, J., Whigham Grendell, L.D., Roemmich, J.N. 2012. Multiple input modes for context appropriate diet reporting [abstract]. International Society for Behavioral Nutrition and Physical Activity. p. 53.

Interpretive Summary:

Technical Abstract: Purpose: Systematic error (bias) in reporting dietary intake decreases when conducted closer to the eating event. However, concurrent reporting can increase participant burden, leading to missed or incomplete reports, or alter behavior in incompatible environments. Studies found increased compliance with mobile devices, but these applied only one Input method for all participants and contexts. Methods: Multiple technologies for food entry can be configured dynamically to accommodate participants’ context and personal preference. We set out to exploit smart phone features to provide multiple user interactions, data management and verifications in a flexible system. Results: Six input methods were developed successfully that can be configured by investigators or participants, and used singly or In correlation, for dietary intake: typing in of food descriptions, speech-to-text conversion with automated food item extraction, record voice for later playback, capture pre-and post-meal photos, capture food label/nutrition facts/barcode photos, and select from recently consumed food sets. One or multiple food databases can be stored and accessed on the phone or wirelessly. Dietary reports are immediately available by remote access for investigators and can be used for multiple-pass entry (e.g., recall interview supported by earlier inputs). Conclusion: Using multiple input modes is technically feasible and can reduce reporting time. However, using this “N-of-1” approach may conflict with principles in study design that every episode be measured in the same way to minimize unknown errors. Validation studies are being designed to determine overall benefit in new reporting configurations.