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Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Compared with traditional methods of dietary assessment, online methods allow for the automatic storage of input data and the automatic generation of nutritional outputs [13].

Hannah Forster, Rosalind Fallaize, Caroline Gallagher, Clare B O’Donovan, Clara Woolhead, Marianne C Walsh, Anna L Macready, Julie A Lovegrove, John C Mathers, Michael J Gibney, Lorraine Brennan, Eileen R Gibney

J Med Internet Res 2014;16(6):e150

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Qualitative Analysis of Cognitive Interviews With School Children: A Web-Based Food Intake Questionnaire

Dietary assessment among children represents a challenge to nutritional epidemiology due to systematic errors (ie, gender, weight, irregular food patterns, social desirability) [1-4].

Vanessa Fernandes Davies, Emil Kupek, Patricia Faria Di Pietro, Maria Alice Altenburg de Assis, Francilene GK Vieira, Clarice Perucchi, Rafaella Mafra, Debbe Thompson, Thomas Baranowski

JMIR Public Health Surveill 2016;2(2):e167

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Privacy Perceptions and Concerns in Image-Based Dietary Assessment Systems: Questionnaire-Based Study

Aakash Sharma, Katja P Czerwinska, Lars Brenna, Dag Johansen, Håvard D Johansen

JMIR Hum Factors 2020;7(4):e19085

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Volumetric Food Quantification Using Computer Vision on a Depth-Sensing Smartphone: Preclinical Study

David Herzig, Christos T Nakas, Janine Stalder, Christophe Kosinski, Céline Laesser, Joachim Dehais, Raphael Jaeggi, Alexander Benedikt Leichtle, Fried-Michael Dahlweid, Christoph Stettler, Lia Bally

JMIR Mhealth Uhealth 2020;8(3):e15294

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Use of Different Food Image Recognition Platforms in Dietary Assessment: Comparison Study

Demo versions do show the general capabilities of the platform but could potentially be improved to allow proper dietary assessment.

Stephanie Van Asbroeck, Christophe Matthys

JMIR Form Res 2020;4(12):e15602

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Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study

Charlotte Evenepoel, Egbert Clevers, Lise Deroover, Wendy Van Loo, Christophe Matthys, Kristin Verbeke

J Med Internet Res 2020;22(10):e18237

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A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study

Åsa Svensson, Christel Larsson

JMIR Mhealth Uhealth 2015;3(4):e93

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The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App

Maria F Vasiloglou, Klazine van der Horst, Thomai Stathopoulou, Michael P Jaeggi, Giulia S Tedde, Ya Lu, Stavroula Mougiakakou

JMIR Mhealth Uhealth 2021;9(1):e24467

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Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls

The aim of this study was to compare the energy and nutrient intakes collected with e-DIA against 24-hour dietary recalls and evaluate e-DIA’s potential as a dietary assessment tool in research.

Anna M Rangan, Sarah O'Connor, Valentina Giannelli, Megan LH Yap, Lie Ming Tang, Rajshri Roy, Jimmy Chun Yu Louie, Lana Hebden, Judy Kay, Margaret Allman-Farinelli

JMIR Mhealth Uhealth 2015;3(4):e98

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How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record

Burrows and colleagues [1] performed a systematic review of validation studies that compared reported estimated energy intake from dietary assessment methods with the method of doubly labeled water as a biomarker for total energy intake among children aged

Carol Jo Boushey, Amelia J Harray, Deborah Anne Kerr, TusaRebecca E. Schap, Stacey Paterson, Tanisha Aflague, Marc Bosch Ruiz, Ziad Ahmad, Edward J Delp

JMIR Mhealth Uhealth 2015;3(2):e47

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