This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (514) Instruments and Questionnaires for Nutrition and Food Intake (166) mHealth for Data Collection and Research (955) mHealth for Wellness, Behavior Change and Prevention (2872)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15619, first published .
Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research

Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research

Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research

Authors of this article:

Wael Khazen1 Author Orcid Image ;   Jean-François Jeanne2 Author Orcid Image ;   Laëtitia Demaretz2 Author Orcid Image ;   Florent Schäfer2 Author Orcid Image ;   Guy Fagherazzi3, 4 Author Orcid Image
Article Authors Cited by (29) Tweetations (13) Metrics

Journals

  1. Shinozaki N, Murakami K. Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients 2020;12(11):3327 View
  2. Schäfer F, Faviez C, Voillot P, Foulquié P, Najm M, Jeanne J, Fagherazzi G, Schück S, Le Nevé B. Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study. Journal of Medical Internet Research 2020;22(11):e17247 View
  3. Gordon-Larsen P, French J, Moustaid-Moussa N, Voruganti V, Mayer-Davis E, Bizon C, Cheng Z, Stewart D, Easterbrook J, Shaikh S. Synergizing Mouse and Human Studies to Understand the Heterogeneity of Obesity. Advances in Nutrition 2021;12(5):2023 View
  4. König L, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526 View
  5. Schäfer F, Quinquis L, Klein M, Escutnaire J, Chavanel F, Chevallier H, Fagherazzi G. Attitudes and Expectations of Clinical Research Participants Toward Digital Health and Mobile Dietary Assessment Tools: Cross-Sectional Survey Study. Frontiers in Digital Health 2022;4 View
  6. Bzikowska-Jura A, Sobieraj P, Raciborski F. Low Comparability of Nutrition-Related Mobile Apps against the Polish Reference Method—A Validity Study. Nutrients 2021;13(8):2868 View
  7. Uzokwe C, Ebenso B, Cade J. Dietary assessment of type-2 diabetes in Africa: A systematic scoping review. Diabetes Epidemiology and Management 2022;6:100056 View
  8. Tricás-Vidal H, Vidal-Peracho M, Lucha-López M, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Tricás-Moreno J. Association between Body Mass Index and the Use of Digital Platforms to Record Food Intake: Cross-Sectional Analysis. Applied Sciences 2022;12(23):12144 View
  9. Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva S, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276 View
  10. Staudacher H, Yao C, Chey W, Whelan K. Optimal Design of Clinical Trials of Dietary Interventions in Disorders of Gut-Brain Interaction. American Journal of Gastroenterology 2022;117(6):973 View
  11. Modrzejewska J, Modrzejewska A, Czepczor-Bernat K, Matusik P, Mahmoud A. The role of body mass index, healthy eating-related apps and educational activities on eating motives and behaviours among women during the COVID-19 pandemic: A cross sectional study. PLOS ONE 2022;17(3):e0266016 View
  12. Moshfegh A, Rhodes D, Martin C. National Food Intake Assessment: Technologies to Advance Traditional Methods. Annual Review of Nutrition 2022;42(1):401 View
  13. Howard Z, Win K, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628 View
  14. Guan V, Zhou C, Wan H, Zhou R, Zhang D, Zhang S, Yang W, Voutharoja B, Wang L, Win K, Wang P. A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study. JMIR Formative Research 2023;7:e46839 View
  15. Pai A, Sabharwal A. Calorie Compensation Patterns Observed in App-Based Food Diaries. Nutrients 2023;15(18):4007 View
  16. Haddad J, Vasiloglou M, Scheidegger-Balmer F, Fiedler U, van der Horst K. Home-based cooking intervention with a smartphone app to improve eating behaviors in children aged 7–9 years: a feasibility study. Discover Social Science and Health 2023;3(1) View
  17. Ho D, Chiu W, Kao J, Tseng H, Yao C, Su H, Wei P, Le N, Nguyen H, Chang J. Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app. Nutrition 2023;116:112212 View
  18. Maslin K, Dean C, Shawe J. The Nutritional Online sUrvey for pRegnancy Induced Sickness & Hyperemesis (NOURISH) study: results from the first trimester. Journal of Human Nutrition and Dietetics 2023;36(5):1821 View
  19. Gioia S, Vlasac I, Babazadeh D, Fryou N, Do E, Love J, Robbins R, Dashti H, Lane J. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research 2023;7:e35858 View
  20. Jung C, Kim Y, Kim H, Han S, Yoo T, Kang S, Park J. Effectiveness of a Smartphone Application for Dietary Sodium Intake Measurement. Nutrients 2023;15(16):3590 View
  21. Banal M, Bongga D, Angbengco J, Amarra S, Panlasigui L. MyFitnessPal smartphone application: relative validity and intercoder reliability among dietitians in assessing energy and macronutrient intakes of selected Filipino adults with obesity. BMJ Nutrition, Prevention & Health 2024;7(1):54 View
  22. Böse V, Frenser M, Schumacher M, Fischer T. Evaluation of the Scientific Quality and Usability of Digital Dietary Assessment Tools. Dietetics 2024;3(2):159 View
  23. Tien D, Hockey M, So D, Stanford J, Clarke E, Collins C, Staudacher H. Recommendations for designing, conducting and reporting feeding trials in nutrition research. Advances in Nutrition 2024:100283 View
  24. Ho D, Chiu W, Kao J, Tseng H, Lin C, Huang P, Fang Y, Chen K, Su T, Yang C, Yao C, Su H, Wei P, Chang J. Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study. JMIR mHealth and uHealth 2024;12:e54509 View

Books/Policy Documents

  1. Weech M, Fallaize R, Kelly E, Hwang F, Franco R, Lovegrove J. Smartphone Apps for Health and Wellness. View
  2. Bong W, Yousaf A, Li Y, Chen W. HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. View