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

被引:146
作者
Eldridge, Alison L. [1 ]
Piernas, Carmen [2 ]
Illner, Anne-Kathrin [3 ]
Gibney, Michael J. [4 ]
Gurinovic, Mirjana A. [5 ]
de Vries, Jeanne H. M. [6 ]
Cade, Janet E. [7 ]
机构
[1] Nestle Res, CH-1000 Lausanne 26, Switzerland
[2] Univ Oxford, Nuffield Dept Primary Care Hlth Sci, Oxford OX2 6GG, England
[3] Polytech Inst UniLaSalle Beauvais, Coll Hlth Sci, F-60026 Beauvais, France
[4] Univ Coll Dublin, Inst Food & Hlth, Dublin D04 V1W8, Ireland
[5] Univ Belgrade, Inst Med Res, Ctr Res Excellence Nutr & Metab, Belgrade 11000, Serbia
[6] Wageningen Univ, Div Human Nutr & Hlth, NL-6708WE Wageningen, Netherlands
[7] Univ Leeds, Sch Food Sci & Nutr, Leeds LS2 9JT, W Yorkshire, England
关键词
dietary assessment; mobile technologies; Web-based technologies; FOOD PHOTOGRAPHY METHOD; DOUBLY LABELED WATER; NUTRIENT INTAKE; SYNCHRONIZED NUTRITION; ACTIVITY PROGRAM; 24-HOUR RECALL; OXFORD WEBQ; MEAL MATE; VALIDATION; CHILDREN;
D O I
10.3390/nu11010055
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
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.
引用
收藏
页数:25
相关论文
共 114 条
[1]   Information Technology and Lifestyle: A Systematic Evaluation of Internet and Mobile Interventions for Improving Diet, Physical Activity, Obesity, Tobacco, and Alcohol Use [J].
Afshin, Ashkan ;
Babalola, Damilola ;
Mclean, Mireille ;
Yu, Zhi ;
Ma, Wenjie ;
Chen, Cheng-Yu ;
Arabi, Mandana ;
Mozaffarian, Dariush .
JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2016, 5 (09)
[2]   A Mobile Food Record For Integrated Dietary Assessment [J].
Ahmad, Ziad ;
Bosch, Marc ;
Khanna, Nitin ;
Kerr, Deborah A. ;
Boushey, Carol J. ;
Zhu, Fengqing ;
Delp, Edward J. .
MADIMA'16: PROCEEDINGS OF THE 2ND INTERNATIONAL WORKSHOP ON MULTIMEDIA ASSISTED DIETARY MANAGEMENT, 2016, :53-62
[3]  
Aizawa Kiyoharu, 2014, J Diabetes Sci Technol, V8, P203
[4]   Agreement between an online dietary assessment tool (myfood24) and an interviewer-administered 24-h dietary recall in British adolescents aged 11-18 years [J].
Albar, Salwa A. ;
Alwan, Nisreen A. ;
Evans, Charlotte E. L. ;
Greenwood, Darren C. ;
Cade, Janet E. .
BRITISH JOURNAL OF NUTRITION, 2016, 115 (09) :1678-1686
[5]   What do Danish children eat, and does the diet meet the recommendations? Baseline data from the OPUS School Meal Study [J].
Andersen, Rikke ;
Biltoft-Jensen, Anja ;
Christensen, Tue ;
Andersen, Elisabeth W. ;
Ege, Majken ;
Thorsen, Anne V. ;
Knudsen, Vibeke K. ;
Damsgaard, Camilla T. ;
Sorensen, Louise B. ;
Petersen, Rikke A. ;
Michaelsen, Kim F. ;
Tetens, Inge .
JOURNAL OF NUTRITIONAL SCIENCE, 2015, 4
[6]  
Arsand Eirik, 2015, J Diabetes Sci Technol, V9, P556, DOI 10.1177/1932296814567708
[7]   Validation of the NANA (Novel Assessment of Nutrition and Ageing) touch screen system for use at home by older adults [J].
Astell, A. J. ;
Hwang, F. ;
Brown, L. J. E. ;
Timon, C. ;
Maclean, L. M. ;
Smith, T. ;
Adlam, T. ;
Khadra, H. ;
Williams, E. A. .
EXPERIMENTAL GERONTOLOGY, 2014, 60 :100-107
[8]   Carbohydrate Estimation Supported by the GoCARB System in Individuals With Type 1 Diabetes: A Randomized Prospective Pilot Study [J].
Bally, Lia ;
Dehais, Joachim ;
Nakas, Christos T. ;
Anthimopoulos, Marios ;
Laimer, Markus ;
Rhyner, Daniel ;
Rosenberg, George ;
Zueger, Thomas ;
Diem, Peter ;
Mougiakakou, Stavroula ;
Stettler, Christoph .
DIABETES CARE, 2017, 40 (02) :E6-E7
[9]   Food Intake Recording Software System, version 4 (FIRSSt4): a self-completed 24-h dietary recall for children [J].
Baranowski, T. ;
Islam, N. ;
Douglass, D. ;
Dadabhoy, H. ;
Beltran, A. ;
Baranowski, J. ;
Thompson, D. ;
Cullen, K. W. ;
Subar, A. F. .
JOURNAL OF HUMAN NUTRITION AND DIETETICS, 2014, 27 :66-71
[10]   Comparison of a Web-Based versus Traditional Diet Recall among Children [J].
Baranowski, Tom ;
Islam, Noemi ;
Baranowski, Janice ;
Martin, Shelby ;
Beltran, Alicia ;
Dadabhoy, Hafza ;
Adame, Su-heyla ;
Watson, Kathleen B. ;
Thompson, Debbe ;
Cullen, Karen W. ;
Subar, Amy F. .
JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS, 2012, 112 (04) :527-532