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

Usability of Apps and User Perceptions of mHealth (993) Instruments and Questionnaires for Nutrition and Food Intake (169)

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 (14) 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

Books/Policy Documents

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