Published on in Vol 7, No 1 (2018): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9038, first published .
Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study

Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study

Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study

Journals

  1. Wellard-Cole L, Potter M, Jung J, Chen J, Kay J, Allman-Farinelli M. A Tool to Measure Young Adults’ Food Intake: Design and Development of an Australian Database of Foods for the Eat and Track Smartphone App. JMIR mHealth and uHealth 2018;6(11):e12136 View
  2. Allman-Farinelli M, Rahman H, Nour M, Wellard-Cole L, Watson W. The Role of Supportive Food Environments to Enable Healthier Choices When Eating Meals Prepared Outside the Home: Findings from Focus Groups of 18 to 30-Year-Olds. Nutrients 2019;11(9):2217 View
  3. Davies A, Rangan A, Allman-Farinelli M. Dietary Behaviors That Place Young Adults at Risk for Future Osteoporosis. Nutrients 2020;12(6):1800 View
  4. Wellard-Cole L, Chen J, Davies A, Wong A, Huynh S, Rangan A, Allman-Farinelli M. Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds. Nutrients 2019;11(3):621 View
  5. Davies A, Chan V, Bauman A, Signal L, Hosking C, Gemming L, Allman-Farinelli M. Using wearable cameras to monitor eating and drinking behaviours during transport journeys. European Journal of Nutrition 2021;60(4):1875 View
  6. Davies A, Wellard-Cole L, Rangan A, Allman-Farinelli M. Validity of self-reported weight and height for BMI classification: A cross-sectional study among young adults. Nutrition 2020;71:110622 View
  7. Jung J, Wellard-Cole L, Cai C, Koprinska I, Yacef K, Allman-Farinelli M, Kay J. Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(2):1 View
  8. Fingland D, Thompson C, Vidgen H. Measuring Food Literacy: Progressing the Development of an International Food Literacy Survey Using a Content Validity Study. International Journal of Environmental Research and Public Health 2021;18(3):1141 View
  9. Davies A, Allman-Farinelli M, Owen K, Signal L, Hosking C, Wang L, Bauman A. Feasibility Study Comparing Physical Activity Classifications from Accelerometers with Wearable Camera Data. International Journal of Environmental Research and Public Health 2020;17(24):9323 View
  10. Wang C, Korai A, Jia S, Allman-Farinelli M, Chan V, Roy R, Raeside R, Phongsavan P, Redfern J, Gibson A, Partridge S. Hunger for Home Delivery: Cross-Sectional Analysis of the Nutritional Quality of Complete Menus on an Online Food Delivery Platform in Australia. Nutrients 2021;13(3):905 View
  11. Wellard-Cole L, Davies A, Chen J, Jung J, Bente K, Kay J, Watson W, Hughes C, Rangan A, Yacef K, Koprinska I, Chapman K, Wong N, Gemming L, Ni Mhurchu C, Bauman A, Allman-Farinelli M. The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study. Nutrients 2021;13(6):1761 View
  12. Chan V, Davies A, Wellard-Cole L, Lu S, Ng H, Tsoi L, Tiscia A, Signal L, Rangan A, Gemming L, Allman-Farinelli M. Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App. Nutrients 2021;13(6):1806 View