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

Usability of Apps and User Perceptions of mHealth (1219) Instruments and Questionnaires for Nutrition and Food Intake (220)

Published on in Vol 6, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9729, first published .
Digital Food Records in Community-Based Interventions: Mixed-Methods Pilot Study

Digital Food Records in Community-Based Interventions: Mixed-Methods Pilot Study

Digital Food Records in Community-Based Interventions: Mixed-Methods Pilot Study

Authors of this article:

Lauren A. Fowler1, 2 Author Orcid Image ;   Leah R Yingling1 Author Orcid Image ;   Alyssa T Brooks3 Author Orcid Image ;   Gwenyth R Wallen3 Author Orcid Image ;   Marlene Peters-Lawrence4 Author Orcid Image ;   Michael McClurkin1 Author Orcid Image ;   Kenneth L Wiley Jr5 Author Orcid Image ;   Valerie M Mitchell1 Author Orcid Image ;   Twanda D. Johnson3 Author Orcid Image ;   Kendrick E Curry6 Author Orcid Image ;   Allan A Johnson7 Author Orcid Image ;   Avis P Graham7 Author Orcid Image ;   Lennox A Graham7 Author Orcid Image ;   Tiffany M. Powell-Wiley1 Author Orcid Image
Article Authors Cited by (16) Tweetations (4) Metrics

Journals

  1. Poelman M, van Lenthe F, Scheider S, Kamphuis C. A Smartphone App Combining Global Positioning System Data and Ecological Momentary Assessment to Track Individual Food Environment Exposure, Food Purchases, and Food Consumption: Protocol for the Observational FoodTrack Study. JMIR Research Protocols 2020;9(1):e15283 View
  2. Gajewska J, Ambroszkiewicz J, Klemarczyk W, Głąb-Jabłońska E, Weker H, Chełchowska M. Ferroportin-Hepcidin Axis in Prepubertal Obese Children with Sufficient Daily Iron Intake. International Journal of Environmental Research and Public Health 2018;15(10):2156 View
  3. Lemacks J, Adams K, Lovetere A. Dietary Intake Reporting Accuracy of the Bridge2U Mobile Application Food Log Compared to Control Meal and Dietary Recall Methods. Nutrients 2019;11(1):199 View
  4. Luu L, Lee S, Nickols-Richardson S, Chapman-Novakofski K. Larger serving size and seasoning’s role in consumer behaviors toward vegetables. Food Quality and Preference 2021;88:104105 View
  5. Farmer N, Gutierrez-Huerta C, Turner B, Mitchell V, Collins B, Baumer Y, Wallen G, Powell-Wiley T. Neighborhood Environment Associates with Trimethylamine-N-Oxide (TMAO) as a Cardiovascular Risk Marker. International Journal of Environmental Research and Public Health 2021;18(8):4296 View
  6. Chung A, Vieira D, Donley T, Tan N, Jean-Louis G, Kiely Gouley K, Seixas A. Adolescent Peer Influence on Eating Behaviors via Social Media: Scoping Review. Journal of Medical Internet Research 2021;23(6):e19697 View
  7. Lemacks J, Abbott L, Greer T, Gunn R, Bryant A, Bradford L, Ralston P. The church bridge project focus group results: African American perspectives of weight management programs to improve nutrition and physical activity behaviors. BMC Nutrition 2021;7(1) View
  8. Ploderer B, Rezaei Aghdam A, Burns K. Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review. Journal of Medical Internet Research 2022;24(4):e28867 View
  9. Tanweer A, Khan S, Mustafa F, Imran S, Humayun A, Hussain Z. Improving dietary data collection tools for better nutritional assessment – A systematic review. Computer Methods and Programs in Biomedicine Update 2022;2:100067 View
  10. Lee L, Hall R, Stanley J, Krebs J. Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods Study. JMIR mHealth and uHealth 2024;12:e52074 View
  11. Oberther T, Moore A, Kohler A, Shuler D, Peritore N, Holland-Winkler A. Effect of Peanut Butter Intake on Sleep Health in Firefighters: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2024;21(5):571 View
  12. Fernandez I, Yang Y, Chang W, Kautz A, Farchaus Stein K. Developing Components of an Integrated mHealth Dietary Intervention for Mexican Immigrant Farmworkers: Feasibility Usability Study of a Food Photography Protocol for Dietary Assessment. JMIR Formative Research 2024;8:e54664 View
  13. Dodd C, Adam M, Stewart S, Windus J, Rollo M. Design of a Semi-Automated System for Dietary Assessment of Image-Voice Food Records. IEEE Access 2024;12:179823 View
  14. Schaafsma H, Caruso O, McEachern L, Seabrook J, Gilliland J. Understanding Food Literacy Intervention Effectiveness: Postsecondary Students’ Perspectives on How a mHealth Food Literacy Intervention Impacted Their Dietary Behaviors. Journal of Nutrition Education and Behavior 2025;57(4):304 View
  15. Ng E, Wong R, Fernando W, Dhanoa A, Ratnasingam V, Chong V, Ng J, Palanisamy U, Jacob S. Assessing the feasibility and acceptance of the Deaf in Touch Everywhere (DITE™) mobile app: Insights from healthcare simulations and stakeholder discussions (HEARD project). DIGITAL HEALTH 2026;12 View

Books/Policy Documents

  1. Liu C, Wu P, Lee H, Huang T, Yen L, Hsu C. Frontier Computing on Industrial Applications Volume 3. View