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Non-randomized Protocols and Methods (ehealth) (568) mHealth for Data Collection and Research (955) mHealth for Wellness, Behavior Change and Prevention (2872) Instruments and Questionnaires for Nutrition and Food Intake (166)

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

Authors of this article:

Lyndal Wellard-Cole1 Author Orcid Image ;   Jisu Jung2 Author Orcid Image ;   Judy Kay2 Author Orcid Image ;   Anna Rangan1 Author Orcid Image ;   Kathy Chapman3 Author Orcid Image ;   Wendy L Watson4 Author Orcid Image ;   Clare Hughes4 Author Orcid Image ;   Cliona Ni Mhurchu5 Author Orcid Image ;   Adrian Bauman6 Author Orcid Image ;   Luke Gemming1 Author Orcid Image ;   Kalina Yacef2 Author Orcid Image ;   Irena Koprinska2 Author Orcid Image ;   Margaret Allman-Farinelli1 Author Orcid Image
Article Authors Cited by (25) Tweetations (6) Metrics

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
  13. Dai X, Wu L, Hu W. Nutritional quality and consumer health perception of online delivery food in the context of China. BMC Public Health 2022;22(1) View
  14. Chan V, Davies A, Wellard-Cole L, Allman-Farinelli M. The energy density of meals and snacks consumed by young Australian adults (18–30 years old) are influenced by preparation location but not screen use nor social interactions: findings from the MYMeals wearable camera study. Journal of Nutritional Science 2022;11 View
  15. 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
  16. Duncan A, Rangan A, Ho P, Chan V, Davies A, Wellard-Cole L, Allman-Farinelli M. High Consumption of Discretionary Beverages in Young Australian Adults Aged 18–30 Years: A Cross-Sectional Study. Dietetics 2022;1(2):105 View
  17. Nassif E, Davies A, Bente K, Wellard-Cole L, Jung J, Kay J, Hughes C, Koprinska I, Watson W, Yacef K, Chapman K, Rangan A, Bauman A, Ni Mhurchu C, Allman-Farinelli M. The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study. Nutrients 2022;14(18):3751 View
  18. Chan V, Wellard-Cole L, Davies A, Watson W, Hughes C, Chapman K, Signal L, Ni Mhurchu C, Wang L, D’Souza D, Gemming L, Rangan A, Bauman A, Allman-Farinelli M. The association of social and food preparation location context with the quality of meals and snacks consumed by young adults: findings from the MYMeals wearable camera study. European Journal of Nutrition 2022;61(7):3407 View
  19. Wang L, Chan V, Allman-Farinelli M, Davies A, Wellard-Cole L, Rangan A. Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults. Nutrients 2022;14(20):4349 View
  20. Mahawar N, Jia S, Korai A, Wang C, Allman-Farinelli M, Chan V, Raeside R, Phongsavan P, Redfern J, Gibson A, Partridge S, Roy R. Unhealthy Food at Your Fingertips: Cross-Sectional Analysis of the Nutritional Quality of Restaurants and Takeaway Outlets on an Online Food Delivery Platform in New Zealand. Nutrients 2022;14(21):4567 View
  21. Thompson C, Adams J, Vidgen H. Progressing the development of a food literacy questionnaire using cognitive interviews. Public Health Nutrition 2022;25(7):1968 View
  22. Chen S, Wang P, Ji G, Jiang Q, Hong X, Ma W, Huang R, Chen Z, Peng J. Sex Difference in the Association Between Eating Away From Home and the Risk of High Serum Uric Acid in South China. Frontiers in Nutrition 2021;8 View
  23. Roy R, Harrington K. Effectiveness of price-reduced meals on purchases among university young adults. Journal of Nutritional Science 2021;10 View
  24. Wang L, Chan V, Allman-Farinelli M, Davies A, Wellard-Cole L, Rangan A. The association between diet quality and chrononutritional patterns in young adults. European Journal of Nutrition 2024;63(4):1271 View
  25. Bennett R, Alston L, Zorbas C, Wasnik S, Lemke C, Needham C. The healthiness of Australian food outlets available through online delivery platforms, by level of socioeconomic disadvantage and remoteness. Health & Place 2024;90:103380 View