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Main Title: Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults
Author(s): Boushey, Carol J.
Spoden, Melissa
Delp, Edward J.
Zhu, Fengqing
Bosch, Marc
Ahmad, Ziad
Shvetsov, Yurii B.
DeLany, James P.
Kerr, Deborah A.
Type: Article
Language Code: en
Abstract: The mobile Food Record (mFR) is an image-based dietary assessment method for mobile devices. The study primary aim was to test the accuracy of the mFR by comparing reported energy intake (rEI) to total energy expenditure (TEE) using the doubly labeled water (DLW) method. Usability of the mFR was assessed by questionnaires before and after the study. Participants were 45 community dwelling men and women, 21–65 years. They were provided pack-out meals and snacks and encouraged to supplement with usual foods and beverages not provided. After being dosed with DLW, participants were instructed to record all eating occasions over a 7.5 days period using the mFR. Three trained analysts estimated rEI from the images sent to a secure server. rEI and TEE correlated significantly (Spearman correlation coefficient of 0.58, p < 0.0001). The mean percentage of underreporting below the lower 95% confidence interval of the ratio of rEI to TEE was 12% for men (standard deviation (SD) ± 11%) and 10% for women (SD ± 10%). The results demonstrate the accuracy of the mFR is comparable to traditional dietary records and other image-based methods. No systematic biases could be found. The mFR was received well by the participants and usability was rated as easy.
Issue Date: 22-Mar-2017
Date Available: 2-Aug-2019
DDC Class: 610 Medizin und Gesundheit
Subject(s): dietary assessment
mobile food record
image-based dietary assessment
doubly labeled water
Journal Title: Nutrients
Publisher: MDPI
Publisher Place: Basel
Volume: 9
Issue: 3
Article Number: 312
Publisher DOI: 10.3390/nu9030312
EISSN: 2072-6643
Appears in Collections:FG Strukturentwicklung und Qualitätsmanagement im Gesundheitswesen » Publications

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