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

mHealth for Wellness, Behavior Change and Prevention (2754)

Published on in Vol 5, No 12 (2017): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8651, first published .
A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing

A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing

A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing

Authors of this article:

Emma Tonkin1, 2 Author Orcid Image ;   Lauren Jeffs1, 2 Author Orcid Image ;   Thomas Philip Wycherley1, 2 Author Orcid Image ;   Carol Maher2 Author Orcid Image ;   Ross Smith3 Author Orcid Image ;   Jonathon Hart3 Author Orcid Image ;   Beau Cubillo1, 4 Author Orcid Image ;   Julie Brimblecombe1 Author Orcid Image
Article Authors Cited by (20) Tweetations (6) Metrics

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  1. Brown J, Savaglio R, Watson G, Kaplansky A, LeSage A, Hughes J, Kapralos B, Arcand J. Optimizing Child Nutrition Education With the Foodbot Factory Mobile Health App: Formative Evaluation and Analysis. JMIR Formative Research 2020;4(4):e15534 View
  2. Ning P, Gao D, Cheng P, Schwebel D, Wei X, Tan L, Xiao W, He J, Fu Y, Chen B, Yang Y, Deng J, Wu Y, Yu R, Li S, Hu G. Needs Analysis for a Parenting App to Prevent Unintentional Injury in Newborn Babies and Toddlers: Focus Group and Survey Study Among Chinese Caregivers. JMIR mHealth and uHealth 2019;7(4):e11957 View
  3. Verdaguer S, Mateo K, Wyka K, Dennis-Tiwary T, Leung M. A Web-Based Interactive Tool to Reduce Childhood Obesity Risk in Urban Minority Youth: Usability Testing Study. JMIR Formative Research 2018;2(2):e21 View
  4. Edwards E, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith J, Greenhill D, Griffiths C, Walton R. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252 View
  5. Koch A, Pfandler M, Stefan P, Wucherer P, Lazarovici M, Navab N, Stumpf U, Schmidmaier R, Glaser J, Weigl M. Say, What Is on Your Mind? Surgeons’ Evaluations of Realism and Usability of a Virtual Reality Vertebroplasty Simulator. Surgical Innovation 2019;26(2):234 View
  6. Reilly R, Stephens J, Micklem J, Tufanaru C, Harfield S, Fisher I, Pearson O, Ward J. Use and uptake of web-based therapeutic interventions amongst Indigenous populations in Australia, New Zealand, the United States of America and Canada: a scoping review. Systematic Reviews 2020;9(1) View
  7. Samoggia A, Monticone F, Bertazzoli A. Innovative Digital Technologies for Purchasing and Consumption in Urban and Regional Agro-Food Systems: A Systematic Review. Foods 2021;10(2):208 View
  8. Beun R, Luiten C, Verbeek C, Poelman M. A Rationale for a Gamified E-Coach Application to Decrease the Consumption of Sugar Sweetened Beverages. Frontiers in Digital Health 2021;2 View
  9. Cartwright J, Netzel M, Sultanbawa Y, Wright O. Seeking Sweetness: A Systematic Scoping Review of Factors Influencing Sugar-Sweetened Beverage Consumption in Remote Indigenous Communities Worldwide. Beverages 2023;9(1):11 View
  10. Zoellner J, Reid A, Porter K, Frederick C, Hilgart M, Ritterband L. Development of a Digital Behavioral Intervention to Reduce the Consumption of Sugar-Sweetened Beverages Among Rural Appalachian Adults: Multiphased, Human-Centered Design Approach. JMIR Human Factors 2023;10:e41262 View
  11. Rasul T, Wijeratne A, Soleimani S, Lim W. Where there’s sugar, there are sugar-related mobile apps. What factors motivate consumers’ continued use of m-Health?. Journal of Strategic Marketing 2023;31(4):856 View
  12. Wang T, Zheng X, Liang J, An K, He Y, Nuo M, Wang W, Lei J. Use of Machine Learning to Mine User-Generated Content From Mobile Health Apps for Weight Loss to Assess Factors Correlated With User Satisfaction. JAMA Network Open 2022;5(5):e2215014 View
  13. Zhang Q, Hugh-Jones S, O'Connor D. Investigation of psychometric properties of the Mindful Eating Questionnaire in Chinese adolescents and young adults using mixed methods. Appetite 2022;176:106097 View
  14. Nicholas J, Mills B, Hansen S, Bright S, Boyd H, Brook L, Watson J, Hopper L. Developing an alcohol and other drug serious game for adolescents: considerations for improving student engagement. Australian and New Zealand Journal of Public Health 2022;46(5):682 View
  15. García-León R, Teichert T. Food and social media: a research stream analysis. Management Review Quarterly 2024;74(2):1145 View
  16. Moecke D, Holyk T, Beckett M, Chopra S, Petlitsyna P, Girt M, Kirkham A, Kamurasi I, Turner J, Sneddon D, Friesen M, McDonald I, Denson-Camp N, Crosbie S, Camp P. Scoping review of telehealth use by Indigenous populations from Australia, Canada, New Zealand, and the United States. Journal of Telemedicine and Telecare 2023:1357633X2311588 View
  17. Henson C, Chapman F, Shepherd G, Carlson B, Rambaldini B, Gwynne K. How Older Indigenous Women Living in High-Income Countries Use Digital Health Technology: Systematic Review. Journal of Medical Internet Research 2023;25:e41984 View
  18. Gall A, Howard K, Anderson K, Diaz A, Garvey G. The Suitability and Acceptability of the Think-Aloud Method to Aboriginal and Torres Strait Islander Adults. International Journal of Qualitative Methods 2023;22 View
  19. Pedersen K, Schlichter B. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205 View