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      Subjects’ Perception in Quantifying Printed and Digital Photos of Food Portions

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          Abstract

          Although digital photos have the potential to improve the precision of reported portions in dietary assessment, there are few studies investigating its accuracy in comparison to printed photos. The aim of this study was to evaluate the perception of adults in quantifying food portion sizes using printed and digital photos, displayed on computer-screens and tablets. In total, 1165 evaluations were performed for 60 photos of portion sizes in Brazil. Each participant ( n = 58) attended two sessions in the study center, with an interval of at least one week. In each session, twelve food portions were prepared and randomly evaluated by each participant in its printed and digital forms. The mean error (difference between the estimated and true portions) was not significantly different between the printed photos (2.1 g ± 47.2) and the digital ones (−6.4 g ± 53.7). The agreement on using the printed and digital photos was 91% and 90%, respectively. Furthermore, the use of the tablet was more prone to underestimation when compared to printed and computer-screen photos ( p < 0.001). Overall, participants did not present major difficulties in perceiving the portion sizes using the printed and digital photos, but the use of tablets led to less accurate results, indicating that this needs to be further evaluated.

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          The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.

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            Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation

            Background: New technology-based dietary assessment tools, including Web-based programs, mobile applications, and wearable devices, may improve accuracy and reduce costs of dietary data collection and processing. The International Life Sciences Institute (ILSI) Europe Dietary Intake and Exposure Task Force launched this project to evaluate new tools in order to recommend general quality standards for future applications. Methods: A comprehensive literature search identified technology-based dietary assessment tools, including those published in English from 01/2011 to 09/2017, and providing details on tool features, functions and uses. Each of the 43 tools identified (33 for research and 10 designed for consumer use) was rated on 25 attributes. Results: Most of the tools identified (79%) relied on self-reported dietary intakes. Most (91%) used text entry and 33% used digital images to help identify foods. Only 65% had integrated databases for estimating energy or nutrients. Fewer than 50% contained any features of customization and about half generated automatic reports. Most tools reported on usability or reported validity compared with another assessment method (77%). A set of Best Practice Guidelines was developed for reporting dietary assessment tools using new technology. Conclusions: Dietary assessment methods that utilize technology offer many advantages for research and are often preferable to consumers over more traditional methods. In order to meet general quality standards, new technology tools require detailed publications describing tool development, food identification and quantification, customization, outputs, food composition tables used, and usability/validity testing.
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              New technology in dietary assessment: a review of digital methods in improving food record accuracy.

              Methods for conducting dietary assessment in the United States date back to the early twentieth century. Methods of assessment encompassed dietary records, written and spoken dietary recalls, FFQ using pencil and paper and more recently computer and internet applications. Emerging innovations involve camera and mobile telephone technology to capture food and meal images. This paper describes six projects sponsored by the United States National Institutes of Health that use digital methods to improve food records and two mobile phone applications using crowdsourcing. The techniques under development show promise for improving accuracy of food records.
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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                27 February 2019
                March 2019
                : 11
                : 3
                : 501
                Affiliations
                [1 ]Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná (UFPR), Curitiba 80240-110, Brazil; prygharib@ 123456hotmail.com (P.G.N.); clauchoma@ 123456gmail.com (C.C.B.A.); lenine.garmus@ 123456gmail.com (L.M.G.); vah.cardozo@ 123456gmail.com (V.C.M.E.)
                [2 ]Postgraduate Program in Epidemiology, Department of Statistics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 91509-900, Brazil; sucamey@ 123456gmail.com
                [3 ]Department of Nutrition, School of Public Health, University of São Paulo. Research Group of Epidemiological Studies and Innovation in Food and Health—GEIAS, São Paulo 01246-000, Brazil; marchioni@ 123456usp.br
                [4 ]Postgraduate Program in Nutrition Science, Department of Nutrition, Federal University of Sergipe, São Cristóvão 49100-000, Brazil; danygoes@ 123456yahoo.com
                [5 ]National Institute for Public Health and the Environment, 3721 MA Bilthoven, The Netherlands; marga.ocke@ 123456rivm.nl
                [6 ]Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France; slimani@ 123456iarc.fr
                [7 ]Department of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-000, Brazil; rfisberg@ 123456usp.br
                Author notes
                [* ]Correspondence: crispim@ 123456ufpr.br ; Tel.: +55-41-3360-4012
                Author information
                https://orcid.org/0000-0002-5564-081X
                https://orcid.org/0000-0002-6810-5779
                https://orcid.org/0000-0003-1299-6135
                https://orcid.org/0000-0002-2257-9899
                Article
                nutrients-11-00501
                10.3390/nu11030501
                6471321
                30818798
                1f2edb04-98ae-4520-a308-e97ee8cb21e9
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 22 January 2019
                : 20 February 2019
                Categories
                Article

                Nutrition & Dietetics
                food portion,photos,perception,quantification,dietary intake,adults
                Nutrition & Dietetics
                food portion, photos, perception, quantification, dietary intake, adults

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