Published on in Vol 18, No 6 (2016): Jun

A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial

A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial

A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial

Journals

  1. 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
  2. Meyerowitz-Katz G, Ravi S, Arnolda L, Feng X, Maberly G, Astell-Burt T. Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(9):e20283 View
  3. Kankanhalli A, Shin J, Oh H. Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11312 View
  4. 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
  5. Kye S, Han K, Jeong S, Choi J. Nutrition Labeling Usage Influences Blood Markers in Body-Size Self-Conscious Individuals: The Korean National Health and Nutrition Examination Survey (KNHANES) 2013–2018. International Journal of Environmental Research and Public Health 2020;17(16):5769 View
  6. Dijkstra A, Elbert S. Eye movement inductions influence health behaviour: the working memory account of persuasion. Psychology & Health 2019;34(11):1378 View
  7. 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
  8. 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
  9. Veinot T, Mitchell H, Ancker J. Good intentions are not enough: how informatics interventions can worsen inequality. Journal of the American Medical Informatics Association 2018;25(8):1080 View
  10. Murimi M, Nguyen B, Moyeda-Carabaza A, Lee H, Park O. Factors that contribute to effective online nutrition education interventions: a systematic review. Nutrition Reviews 2019;77(10):663 View
  11. Shin Y, Kim S, Lee M. Mobile phone interventions to improve adolescents' physical health: A systematic review and meta‐analysis. Public Health Nursing 2019;36(6):787 View
  12. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894 View
  13. López G, González I, Jimenez-Garcia E, Fontecha J, Brenes J, Guerrero L, Bravo J. Smart Device-Based Notifications to Promote Healthy Behavior Related to Childhood Obesity and Overweight. Sensors 2018;18(1):271 View
  14. 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
  15. Elbert S, Ots P. Reading or Listening to a Gain- or Loss-Framed Health Message: Effects of Message Framing and Communication Mode in the Context of Fruit and Vegetable Intake. Journal of Health Communication 2018;23(6):573 View
  16. Kim K, Lee C, Hornik R. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283 View
  17. West J, Guelfi K, Dimmock J, Jackson B. Testing the Feasibility and Preliminary Efficacy of an 8-Week Exercise and Compensatory Eating Intervention. Nutrients 2018;10(7):923 View
  18. Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón C, Bamidis P, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530 View
  19. 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
  20. 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
  21. Visscher B, Steunenberg B, Heijmans M, Hofstede J, Devillé W, van der Heide I, Rademakers J. Evidence on the effectiveness of health literacy interventions in the EU: a systematic review. BMC Public Health 2018;18(1) View
  22. Sinyolo S, Ndinda C, Murendo C, Sinyolo S, Neluheni M. Access to Information Technologies and Consumption of Fruits and Vegetables in South Africa: Evidence from Nationally Representative Data. International Journal of Environmental Research and Public Health 2020;17(13):4880 View
  23. 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
  24. Dijkstra A, Elbert S. Detecting and Preventing Defensive Reactions Toward Persuasive Information on Fruit and Vegetable Consumption Using Induced Eye Movements. Frontiers in Psychology 2021;11 View
  25. 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
  26. Mukaneeva D, Kontsevaya A, Karamnova N, Drapkina O. Population prevention measures aimed at increasing the consumption of vegetables and fruits: international experience and prospects for implementation in the Russian Federation. Profilakticheskaya meditsina 2020;23(6):129 View
  27. Tong H, Quiroz J, Kocaballi A, Fat S, Dao K, Gehringer H, Chow C, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532 View
  28. Garaialde D, Cox A, Cowan B. Designing gamified rewards to encourage repeated app selection: Effect of reward placement. International Journal of Human-Computer Studies 2021;153:102661 View
  29. Robert C, Erdt M, Lee J, Cao Y, Naharudin N, Theng Y. Effectiveness of eHealth Nutritional Interventions for Middle-Aged and Older Adults: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(5):e15649 View
  30. Viana J, Edney S, Gondalia S, Mauch C, Sellak H, O'Callaghan N, Ryan J. Trends and gaps in precision health research: a scoping review. BMJ Open 2021;11(10):e056938 View
  31. Kong N, Moy F, Ong S, Tahir G, Loo C. MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. DIGITAL HEALTH 2023;9 View
  32. Mauch C, Edney S, Viana J, Gondalia S, Sellak H, Boud S, Nixon D, Ryan J. Precision health in behaviour change interventions: A scoping review. Preventive Medicine 2022;163:107192 View
  33. Mateo-Orcajada A, Abenza-Cano L, Albaladejo-Saura M, Vaquero-Cristóbal R. Mandatory after-school use of step tracker apps improves physical activity, body composition and fitness of adolescents. Education and Information Technologies 2023;28(8):10235 View
  34. Theuri A, Makokha A, Kyallo F, Gichure J. Effect of using mobile phone communication on dietary management of Type 2 Diabetes Mellitus patients in Kenya. Journal of Diabetes & Metabolic Disorders 2022;22(1):367 View
  35. Leske M, Koczwara B, Blunt J, Morris J, Eakin E, Short C, Daly A, Degner J, Beatty L. Co-designing Healthy Living after Cancer Online: an online nutrition, physical activity, and psychosocial intervention for post-treatment cancer survivors. Journal of Cancer Survivorship 2024;18(2):606 View
  36. Stevens S, Gallagher S, Andrews T, Ashall-Payne L, Humphreys L, Leigh S. The effectiveness of digital health technologies for patients with diabetes mellitus: A systematic review. Frontiers in Clinical Diabetes and Healthcare 2022;3 View
  37. Dijkstra A, Rotelli V. Lowering Red Meat and Processed Meat Consumption With Environmental, Animal Welfare, and Health Arguments in Italy: An Online Experiment. Frontiers in Psychology 2022;13 View
  38. Livingstone K, Rawstorn J, Partridge S, Godrich S, McNaughton S, Hendrie G, Blekkenhorst L, Maddison R, Zhang Y, Barnett S, Mathers J, Packard M, Alston L. Digital behaviour change interventions to increase vegetable intake in adults: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  39. Willemsen R, Chavannes N, Aardoom J. Feasibility and Acceptability of a Health App Platform Providing Individuals With a Budget to Purchase Preselected Apps to Work on Their Health and Well-Being: Quantitative Evaluation Study. JMIR Formative Research 2024;8:e51408 View

Books/Policy Documents

  1. Orso V, Spagnolli A, Viero F, Gamberini L. Ambient Assisted Living. View
  2. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View
  3. Farhat-ul-Ain , Popovitš O, Tomberg V. Human-Computer Interaction. User Experience and Behavior. View