Published on in Vol 3, No 2 (2015): Apr-Jun

Targeting Parents for Childhood Weight Management: Development of a Theory-Driven and User-Centered Healthy Eating App

Targeting Parents for Childhood Weight Management: Development of a Theory-Driven and User-Centered Healthy Eating App

Targeting Parents for Childhood Weight Management: Development of a Theory-Driven and User-Centered Healthy Eating App

Journals

  1. Bannan D, Aseeri M, AlAzmi A, Tully M. Understanding the causes of prescribing errors from a behavioural perspective. Research in Social and Administrative Pharmacy 2019;15(5):546 View
  2. Prinja S, Bahuguna P, Gupta A, Nimesh R, Gupta M, Thakur J. Cost effectiveness of mHealth intervention by community health workers for reducing maternal and newborn mortality in rural Uttar Pradesh, India. Cost Effectiveness and Resource Allocation 2018;16(1) View
  3. Atkins L, Michie S. Designing interventions to change eating behaviours. Proceedings of the Nutrition Society 2015;74(2):164 View
  4. Jensen C, Duncombe K, Lott M, Hunsaker S, Duraccio K, Woolford S. An Evaluation of a Smartphone–Assisted Behavioral Weight Control Intervention for Adolescents: Pilot Study. JMIR mHealth and uHealth 2016;4(3):e102 View
  5. Marshman Z, Ahern S, McEachan R, Rogers H, Gray-Burrows K, Day P. Parents’ Experiences of Toothbrushing with Children. JDR Clinical & Translational Research 2016;1(2):122 View
  6. Mitchell K, Holtz B, McCarroll A. Patient-Centered Methods for Designing and Developing Health Information Communication Technologies: A Systematic Review. Telemedicine and e-Health 2019;25(11):1012 View
  7. Fulton E, Brown K, Kwah K, Wild S. StopApp: Using the Behaviour Change Wheel to Develop an App to Increase Uptake and Attendance at NHS Stop Smoking Services. Healthcare 2016;4(2):31 View
  8. Sahin C. Rules of engagement in mobile health: what does mobile health bring to research and theory?. Contemporary Nurse 2018;54(4-5):374 View
  9. Prinja S, Nimesh R, Gupta A, Bahuguna P, Gupta M, Thakur J. Impact of m‐health application used by community health volunteers on improving utilisation of maternal, new‐born and child health care services in a rural area of Uttar Pradesh, India. Tropical Medicine & International Health 2017;22(7):895 View
  10. BARROS L, GREFFIN K. Supporting health-related parenting: A scoping review of programs assisted by the Internet and related technologies. Estudos de Psicologia (Campinas) 2017;34(3):331 View
  11. Pond N, Finch M, Sutherland R, Wolfenden L, Nathan N, Kingsland M, Grady A, Gillham K, Herrmann V, Yoong S. Cluster randomised controlled trial of an m-health intervention in centre-based childcare services to reduce the packing of discretionary foods in children’s lunchboxes: study protocol for the ’SWAP IT Childcare' trial. BMJ Open 2019;9(5):e026829 View
  12. Tonkin E, Jeffs L, Wycherley T, Maher C, Smith R, Hart J, Cubillo B, Brimblecombe J. A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing. JMIR mHealth and uHealth 2017;5(12):e192 View
  13. 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
  14. Schoemans H, Finn L, Foster J, Roche-Green A, Bevans M, Kullberg S, Lee E, Sargeant C, Schatz B, Scheeler K, Shaw B, Shereck E, Murphy E, Burns L, Schmit-Pokorny K. A Conceptual Framework and Key Research Questions in Educational Needs of Blood and Marrow Transplantation Patients, Caregivers, and Families. Biology of Blood and Marrow Transplantation 2019;25(7):1416 View
  15. Hull P, Emerson J, Quirk M, Canedo J, Jones J, Vylegzhanina V, Schmidt D, Mulvaney S, Beech B, Briley C, Harris C, Husaini B. A Smartphone App for Families With Preschool-Aged Children in a Public Nutrition Program: Prototype Development and Beta-Testing. JMIR mHealth and uHealth 2017;5(8):e102 View
  16. Herbec A, Tombor I, Shahab L, West R. “If I’d Known …”—a Theory-Informed Systematic Analysis of Missed Opportunities in Optimising Use of Nicotine Replacement Therapy and Accessing Relevant Support: a Qualitative Study. International Journal of Behavioral Medicine 2018;25(5):579 View
  17. Shoneye C, Mullan B, Begley A, Pollard C, Jancey J, Kerr D. Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study. JMIR mHealth and uHealth 2020;8(9):e17919 View
  18. Koebnick C, Tartof S, Sidell M, Rozema E, Chung J, Chiu V, Taylor Z, Xiang A, Getahun D. Effect of In-Utero Antibiotic Exposure on Childhood Outcomes: Methods and Baseline Data of the Fetal Antibiotic EXposure (FAX) Cohort Study. JMIR Research Protocols 2019;8(7):e12065 View
  19. Reidy C, Foster C, Rogers A. A Facilitated Web-Based Self-Management Tool for People With Type 1 Diabetes Using an Insulin Pump: Intervention Development Using the Behavior Change Wheel and Theoretical Domains Framework. Journal of Medical Internet Research 2020;22(5):e13980 View
  20. McDonagh L, Saunders J, Cassell J, Curtis T, Bastaki H, Hartney T, Rait G. Application of the COM-B model to barriers and facilitators to chlamydia testing in general practice for young people and primary care practitioners: a systematic review. Implementation Science 2018;13(1) View
  21. 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
  22. Saparamadu A, Fernando P, Zeng P, Teo H, Goh A, Lee J, Lam C. User-Centered Design Process of an mHealth App for Health Professionals: Case Study. JMIR mHealth and uHealth 2021;9(3):e18079 View
  23. Mueller J, Davies A, Jay C, Harper S, Blackhall F, Summers Y, Harle A, Todd C. Developing and testing a web-based intervention to encourage early help-seeking in people with symptoms associated with lung cancer. British Journal of Health Psychology 2019;24(1):31 View
  24. Huang Y, Benford S, Price D, Patel R, Li B, Ivanov A, Blake H. Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach. JMIR mHealth and uHealth 2020;8(7):e17914 View
  25. 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
  26. Lewis Z, Swartz M, Lyons E. What's the Point?: A Review of Reward Systems Implemented in Gamification Interventions. Games for Health Journal 2016;5(2):93 View
  27. Liu Y, Chen C, Tsou Y, Lin Y, Chen H, Yeh J, Chiu S. Evaluating Mobile Health Apps for Customized Dietary Recording for Young Adults and Seniors: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e10931 View
  28. Turner-McGrievy G, Hales S, Schoffman D, Valafar H, Brazendale K, Weaver R, Beets M, Wirth M, Shivappa N, Mandes T, Hébert J, Wilcox S, Hester A, McGrievy M. Choosing between responsive-design websites versus mobile apps for your mobile behavioral intervention: presenting four case studies. Translational Behavioral Medicine 2017;7(2):224 View
  29. Gabrielli S, Dianti M, Maimone R, Betta M, Filippi L, Ghezzi M, Forti S. Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children. JMIR mHealth and uHealth 2017;5(4):e48 View
  30. Rahman A, Jahan Y. Childhood Weight Management: the Development and Refinement of an mHealth Intervention in Primary Care. Journal of Technology in Behavioral Science 2019;4(4):309 View
  31. Chai L, May C, Collins C, Burrows T. Development of text messages targeting healthy eating for children in the context of parenting partnerships. Nutrition & Dietetics 2019;76(5):515 View
  32. Curtis K, Atkins L, Brown K. Big hearts, small hands: a focus group study exploring parental food portion behaviours. BMC Public Health 2017;17(1) View
  33. Carney R, Bradshaw T, Yung A. Physical health promotion for young people at ultra-high risk for psychosis: An application of the COM-B model and behaviour-change wheel. International Journal of Mental Health Nursing 2016;25(6):536 View
  34. Bartlett Y, Farmer A, Rea R, French D. Use of Brief Messages Based on Behavior Change Techniques to Encourage Medication Adherence in People With Type 2 Diabetes: Developmental Studies. Journal of Medical Internet Research 2020;22(5):e15989 View
  35. Power B. Supporting nurses to adopt healthy eating behaviours. Nursing Standard 2018;33(9):56 View
  36. Schild S, Sedlmayr B, Schumacher A, Sedlmayr M, Prokosch H, St.Pierre M. A Digital Cognitive Aid for Anesthesia to Support Intraoperative Crisis Management: Results of the User-Centered Design Process. JMIR mHealth and uHealth 2019;7(4):e13226 View
  37. Ferreira D, Ramos F, Teixeira E. Aplicativo móvel para a práxis educativa de enfermeiros da estratégia saúde da família: ideação e prototipagem. Escola Anna Nery 2021;25(1) View
  38. Mummah S, Mathur M, King A, Gardner C, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR mHealth and uHealth 2016;4(2):e51 View
  39. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373 View
  40. Jung J, Jeon S, Bae H, Cho Y, Hur Y, Sung E, Kang J. Development of a Smartphone Application for 4th-6th Grade Elementary Students Aimed to Prevent Childhood Obesity. The Korean Journal of Obesity 2016;25(2):99 View
  41. Nelligan R, Hinman R, Atkins L, Bennell K. A Short Message Service Intervention to Support Adherence to Home-Based Strengthening Exercise for People With Knee Osteoarthritis: Intervention Design Applying the Behavior Change Wheel. JMIR mHealth and uHealth 2019;7(10):e14619 View
  42. Newton J, Asimakopoulou K. Behavioral models for periodontal health and disease. Periodontology 2000 2018;78(1):201 View
  43. 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
  44. Rivera J, McPherson A, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7 View
  45. Spence N, Skelton J, Ball G. A proposed standardized approach to studying attrition in pediatric weight management. Obesity Research & Clinical Practice 2020;14(1):60 View
  46. Wheeler T, Michael Vallis T, Giacomantonio N, Abidi S. Feasibility and usability of an ontology-based mobile intervention for patients with hypertension. International Journal of Medical Informatics 2018;119:8 View
  47. Prinja S, Nimesh R, Gupta A, Bahuguna P, Thakur J, Gupta M, Singh T. Impact assessment and cost-effectiveness of m-health application used by community health workers for maternal, newborn and child health care services in rural Uttar Pradesh, India: a study protocol. Global Health Action 2016;9(1):31473 View
  48. Beck A, Iturralde E, Haya-Fisher J, Kim S, Keeton V, Fernandez A. Barriers and facilitators to healthy eating among low-income Latino adolescents. Appetite 2019;138:215 View
  49. McClelland G, Fitzgerald M. A participatory mobile application (app) development project with mental health service users and clinicians. Health Education Journal 2018;77(7):815 View
  50. Seyyedi N, Rahimi B, Farrokh Eslamlou H, Timpka T, Lotfnezhad Afshar H. Mobile phone applications to overcome malnutrition among preschoolers: a systematic review. BMC Medical Informatics and Decision Making 2019;19(1) View
  51. Curtis K, Fulton E, Brown K. Factors influencing application of behavioural science evidence by public health decision-makers and practitioners, and implications for practice. Preventive Medicine Reports 2018;12:106 View
  52. Korpershoek Y, Hermsen S, Schoonhoven L, Schuurmans M, Trappenburg J. User-Centered Design of a Mobile Health Intervention to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease (Copilot): Mixed Methods Study. Journal of Medical Internet Research 2020;22(6):e15449 View
  53. Handley M, Harleman E, Gonzalez-Mendez E, Stotland N, Althavale P, Fisher L, Martinez D, Ko J, Sausjord I, Rios C. Applying the COM-B model to creation of an IT-enabled health coaching and resource linkage program for low-income Latina moms with recent gestational diabetes: the STAR MAMA program. Implementation Science 2015;11(1) View
  54. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  55. Cowdell F, Dyson J. How is the theoretical domains framework applied to developing health behaviour interventions? A systematic search and narrative synthesis. BMC Public Health 2019;19(1) View
  56. Ögel Aydın S, Argan M. Understanding how gamification influences consumers’ dietary preferences. Journal of Social Marketing 2021;11(2):82 View
  57. Ferreira D, Ramos F, Teixeira E. Aplicativo móvel para a práxis educativa de enfermeiros da estratégia saúde da família: ideação e prototipagem. Escola Anna Nery 2021;25(1) View
  58. Asensio-Cuesta S, Blanes-Selva V, Conejero J, Frigola A, Portolés M, Merino-Torres J, Rubio Almanza M, Syed-Abdul S, Li Y, Vilar-Mateo R, Fernandez-Luque L, García-Gómez J. A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study. JMIR Medical Informatics 2021;9(4):e17503 View
  59. Huh J, Lee K, Roldan W, Castro Y, Kshirsagar S, Rastogi P, Kim I, Miller K, Cockburn M, Yip J. Making of Mobile SunSmart: Co-designing a Just-in-Time Sun Protection Intervention for Children and Parents. International Journal of Behavioral Medicine 2021 View
  60. Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. International Journal of Environmental Research and Public Health 2021;18(7):3496 View
  61. Gray A, Wood C, Boyles T, Luedtke S, Birjovanu G, Hughes J, Kostkova P, Esmail H. Following Guidelines for Drug-Resistant Tuberculosis: “Yes, it’s a challenge”. Frontiers in Tropical Diseases 2021;2 View
  62. Wearn A, Haste A, Haighton C, Mallion V, Rodrigues A. Barriers and facilitators to implementing the CURE stop smoking project: a qualitative study. BMC Health Services Research 2021;21(1) View
  63. Cooray N, Sun S, Ho C, Adams S, Keay L, Nassar N, Brown J. Towards a Behaviour Theory Informed and User-Centred Mobile App for Parents to Prevent Infant Falls (Preprint). JMIR Pediatrics and Parenting 2021 View

Books/Policy Documents

  1. Reifegerste D. Prävention und Gesundheitsförderung. View
  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  3. Reifegerste D. Prävention und Gesundheitsförderung. View