Published on in Vol 4, No 2 (2016): Apr-Jun

Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults

Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults

Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults

Journals

  1. Recio-Rodriguez J, Agudo Conde C, Calvo-Aponte M, Gonzalez-Viejo N, Fernandez-Alonso C, Mendizabal-Gallastegui N, Rodriguez-Martin B, Maderuelo-Fernandez J, Rodriguez-Sanchez E, Gomez-Marcos M, Garcia-Ortiz L. The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study. Nutrients 2018;10(10):1473 View
  2. Pop-Jordanova N, Loleski M, Loleska S. The Use of Smartphone in Medical Practice. PRILOZI 2017;38(3):9 View
  3. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231 View
  4. Mandracchia F, Llauradó E, Tarro L, del Bas J, Valls R, Pedret A, Radeva P, Arola L, Solà R, Boqué N. Potential Use of Mobile Phone Applications for Self-Monitoring and Increasing Daily Fruit and Vegetable Consumption: A Systematized Review. Nutrients 2019;11(3):686 View
  5. McCarroll R, Eyles H, Ni Mhurchu C. Effectiveness of mobile health (mHealth) interventions for promoting healthy eating in adults: A systematic review. Preventive Medicine 2017;105:156 View
  6. Kim M, Kim Y, Go Y, Lee S, Na M, Lee Y, Choi S, Choi H. Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14817 View
  7. Mummah S, King A, Gardner C, Sutton S. Iterative development of Vegethon: a theory-based mobile app intervention to increase vegetable consumption. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  8. Isler J, Sawadogo N, Harling G, Bärnighausen T, Adam M, Kagoné M, Sié A, Greuel M, McMahon S. Iterative Adaptation of a Maternal Nutrition Videos mHealth Intervention Across Countries Using Human-Centered Design: Qualitative Study. JMIR mHealth and uHealth 2019;7(11):e13604 View
  9. König L, Sproesser G, Schupp H, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55 View
  10. Stephenson A, Garcia-Constantino M, McDonough S, Murphy M, Nugent C, Mair J. Iterative four-phase development of a theory-based digital behaviour change intervention to reduce occupational sedentary behaviour. DIGITAL HEALTH 2020;6:205520762091341 View
  11. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1) View
  12. Hayashi A, Yamaguchi S, Waki K, Fujiu K, Hanafusa N, Nishi T, Tomita H, Kobayashi H, Fujita H, Kadowaki T, Nangaku M, Ohe K. Testing the Feasibility and Usability of a Novel Smartphone-Based Self-Management Support System for Dialysis Patients: A Pilot Study. JMIR Research Protocols 2017;6(4):e63 View
  13. Wang Y, Fadhil A, Lange J, Reiterer H. Integrating Taxonomies Into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework. JMIR Research Protocols 2019;8(1):e8055 View
  14. Schembre S, Liao Y, Robertson M, Dunton G, Kerr J, Haffey M, Burnett T, Basen-Engquist K, Hicklen R. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework. Journal of Medical Internet Research 2018;20(3):e106 View
  15. Melin J, Bonn S, Pendrill L, Trolle Lagerros Y. A Questionnaire for Assessing User Satisfaction With Mobile Health Apps: Development Using Rasch Measurement Theory. JMIR mHealth and uHealth 2020;8(5):e15909 View
  16. Mummah S, Robinson T, King A, Gardner C, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317 View
  17. Milne-Ives M, Lam C, De Cock C, Van Velthoven M, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046 View
  18. Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766 View
  19. Teasdale N, Elhussein A, Butcher F, Piernas C, Cowburn G, Hartmann-Boyce J, Saksena R, Scarborough P. Systematic review and meta-analysis of remotely delivered interventions using self-monitoring or tailored feedback to change dietary behavior. The American Journal of Clinical Nutrition 2018;107(2):247 View
  20. Gasch M, Dunleavy G, Kyaw B, Lean M, Nikolaou C. Personalized Health, eLearning, and mHealth Interventions to Improve Nutritional Status. Current Nutrition Reports 2016;5(4):295 View
  21. Schoeppe S, Alley S, Van Lippevelde W, Bray N, Williams S, Duncan M, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  22. Fakih El Khoury C, Karavetian M, Halfens R, Crutzen R, Khoja L, Schols J. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of the Academy of Nutrition and Dietetics 2019;119(4):626 View
  23. Rohde A, Duensing A, Dawczynski C, Godemann J, Lorkowski S, Brombach C. An App to Improve Eating Habits of Adolescents and Young Adults (Challenge to Go): Systematic Development of a Theory-Based and Target Group–Adapted Mobile App Intervention. JMIR mHealth and uHealth 2019;7(8):e11575 View
  24. Franco R, Fallaize R, Hwang F, Lovegrove J. Strategies for online personalised nutrition advice employed in the development of the eNutri web app. Proceedings of the Nutrition Society 2019;78(3):407 View
  25. Garcia-Ortiz L, Recio-Rodriguez J, Agudo-Conde C, Patino-Alonso M, Maderuelo-Fernandez J, Repiso Gento I, Puigdomenech Puig E, Gonzalez-Viejo N, Arietaleanizbeaskoa M, Schmolling-Guinovart Y, Gomez-Marcos M, Rodriguez-Sanchez E. Long-Term Effectiveness of a Smartphone App for Improving Healthy Lifestyles in General Population in Primary Care: Randomized Controlled Trial (Evident II Study). JMIR mHealth and uHealth 2018;6(4):e107 View
  26. Villinger K, Wahl D, Boeing H, Schupp H, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465 View
  27. 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
  28. Collier E, Oberrauter L, Normann A, Norman C, Svensson M, Niimi J, Bergman P. Identifying barriers to decreasing meat consumption and increasing acceptance of meat substitutes among Swedish consumers. Appetite 2021;167:105643 View
  29. Afzali T, Lauridsen H, Thomsen J, Hartvigsen J, Jensen M, Riis A. The Online Patient Satisfaction Index for Patients With Low Back Pain: Development, Reliability, and Validation Study. JMIR Formative Research 2021;5(11):e21462 View
  30. Yang Q. Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis. International Journal of Environmental Research and Public Health 2021;18(17):9106 View
  31. Van Blarigan E, Kenfield S, Chan J, Van Loon K, Paciorek A, Zhang L, Chan H, Savoie M, Bocobo A, Liu V, Wong L, Laffan A, Atreya C, Miaskowski C, Fukuoka Y, Meyerhardt J, Venook A. Feasibility and Acceptability of a Web-Based Dietary Intervention with Text Messages for Colorectal Cancer: A Randomized Pilot Trial. Cancer Epidemiology, Biomarkers & Prevention 2020;29(4):752 View
  32. Lee H, Ahn J, Lee J. Development and Validation of a Questionnaire on the Feasibility of a Mobile Dietary Self-Monitoring Application. Korean Journal of Community Nutrition 2022;27(2):146 View
  33. Elliott A, Lang S, Truby H, Brennan L, Gibson S. Tackling the challenge of treating obesity using design research methods: A scoping review. Obesity Reviews 2022;23(2) View
  34. 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
  35. Rosen C, Roberts S, Syvyk S, Finn C, Tong J, Wirtalla C, Spinks H, Kelz R. A Novel Mobile App to Identify Patients With Multimorbidity in the Emergency Setting: Development of an App and Feasibility Trial. JMIR Formative Research 2023;7:e42970 View
  36. Pogrebnoy D, Dennett A, Simpson D, MacDonald-Wicks L, Patterson A, English C. Effects of Using Websites on Physical Activity and Diet Quality for Adults Living With Chronic Health Conditions: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e49357 View
  37. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View

Books/Policy Documents

  1. Van Stee S, Yang Q. Technology and Health. View
  2. Stanik III P, Morris B, Serafica R, Webber K. Advances in Visual Computing. View
  3. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View