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;28(6):768 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. Toward a Behavior Theory–Informed and User-Centered Mobile App for Parents to Prevent Infant Falls: Development and Usability Study. JMIR Pediatrics and Parenting 2021;4(4):e29731 View
  64. Santos S, Ramos F, Costa R, Batalha L. Assessment of the quality of a software application for the prevention of skin lesions in newborns*. Revista Latino-Americana de Enfermagem 2020;28 View
  65. Al Rahmad A, Junaidi J, Fitrianingsih E, Iskandar I, Mulyani N, Irwandi I, Arnisam A, Khazanah W, Andriani A, Alfridsyah A. Effectiveness of Using Android-Based Applications for Nutrition Monitoring of Toddlers in Banda Aceh. Open Access Macedonian Journal of Medical Sciences 2022;10(E):444 View
  66. Vázquez-Paz A, Michel-Nava R, Delgado-Pérez E, Lares-Michel M, Espinosa-Curiel I. Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. Journal of Medical Systems 2022;46(11) View
  67. Arouca M, Neves I, Barreto M, Cruz C, Brito R. Gamification Frameworks and Models for Health Contexts. International Journal for Innovation Education and Research 2021;9(9):374 View
  68. Warsinsky S, Schmidt-Kraepelin M, Rank S, Thiebes S, Sunyaev A. Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING). Journal of Medical Internet Research 2021;23(9):e30390 View
  69. Koumpouros Y. User-Centric Design Methodology for mHealth Apps: The PainApp Paradigm for Chronic Pain. Technologies 2022;10(1):25 View
  70. Dias S, Oikonomidis Y, Diniz J, Baptista F, Carnide F, Bensenousi A, Botana J, Tsatsou D, Stefanidis K, Gymnopoulos L, Dimitropoulos K, Daras P, Argiriou A, Rouskas K, Wilson-Barnes S, Hart K, Merry N, Russell D, Konstantinova J, Lalama E, Pfeiffer A, Kokkinopoulou A, Hassapidou M, Pagkalos I, Patra E, Buys R, Cornelissen V, Batista A, Cobello S, Milli E, Vagnozzi C, Bryant S, Maas S, Bacelar P, Gravina S, Vlaskalin J, Brkic B, Telo G, Mantovani E, Gkotsopoulou O, Iakovakis D, Hadjidimitriou S, Charisis V, Hadjileontiadis L. Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach. Frontiers in Nutrition 2022;9 View
  71. Marshall S, Moore A, Fleming A, Sahm L. A Video-Based Behavioral Intervention Associated with Improved HPV Knowledge and Intention to Vaccinate. Vaccines 2022;10(4):562 View
  72. Mahdi S, Michalik-Denny E, Buckland N. An Assessment of Behavior Change Techniques in Two Versions of a Dietary Mobile Application: The Change4Life Food Scanner. Frontiers in Public Health 2022;10 View
  73. 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
  74. Pearson N, Finch M, Sutherland R, Kingsland M, Wolfenden L, Wedesweiler T, Herrmann V, Yoong S. An mHealth Intervention to Reduce the Packing of Discretionary Foods in Children’s Lunch Boxes in Early Childhood Education and Care Services: Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(3):e27760 View
  75. Göttgens I, Oertelt-Prigione S. The Application of Human-Centered Design Approaches in Health Research and Innovation: A Narrative Review of Current Practices. JMIR mHealth and uHealth 2021;9(12):e28102 View
  76. Poduval S, Ross J, Pal K, Newhouse N, Hamilton F, Murray E. Web-Based Structured Education for Type 2 Diabetes: Interdisciplinary User-Centered Design Approach. JMIR Human Factors 2022;9(1):e31567 View
  77. Cradock K, Quinlan L, Finucane F, Gainforth H, Ginis K, Sanders E, ÓLaighin G. Design of a Planner-Based Intervention to Facilitate Diet Behaviour Change in Type 2 Diabetes. Sensors 2022;22(7):2795 View
  78. Duffy A, Christie G, Moreno S. The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review. JMIR Human Factors 2022;9(3):e35693 View
  79. Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
  80. Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022;22(1) View
  81. Tonkin E, Brimblecombe J, Wycherley T. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308 View
  82. Davies E, Hussain S, Brooke J, Hale T, Cadle M, Hennelly S. Taking Action in Student Harassment Situations. Violence and Victims 2022;37(1):116 View
  83. Caon M, Prinelli F, Angelini L, Carrino S, Mugellini E, Orte S, Serrano J, Atkinson S, Martin A, Adorni F. PEGASO e-Diary: User Engagement and Dietary Behavior Change of a Mobile Food Record for Adolescents. Frontiers in Nutrition 2022;9 View
  84. Silva M, Hay-Smith E, Graham F. Exploring the Use of the Behavior Change Technique Taxonomy and the Persuasive System Design Model in Defining Parent-Focused eHealth Interventions: Scoping Review. Journal of Medical Internet Research 2023;25:e42083 View
  85. An Q, Kelley M, Hanners A, Yen P. Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process. JMIR Formative Research 2023;7:e45694 View
  86. Ikwunne T, Hederman L, Wall P. DECENT: A sociotechnical approach for developing mobile health apps in underserved settings. DIGITAL HEALTH 2023;9 View
  87. Abahussin A, West R, Wong D, Ziegler L, Allsop M. Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach. JMIR Cancer 2023;9:e49471 View
  88. Chen D, Shao J, Zhang H, Wu J, Xue E, Guo P, Tang L, Cui N, Wang X, Chen L, Ye Z. Development of an individualized WeChat mini program-based intervention to increase adherence to dietary recommendations applying the behaviour change wheel among individuals with metabolic syndrome. Annals of Medicine 2023;55(2) View
  89. Norman J, Furber S, Bauman A, Okely A. The feasibility, acceptability and potential efficacy of a parental text message and social media program on children's vegetable consumption and movement behaviours: A pilot randomised controlled trial. Health Promotion Journal of Australia 2024;35(4):1087 View
  90. Fraser K, Johnson B, Love P, Spence A, Laws R, Campbell K. Mapping the behaviour change potential of meal kits to positively influence parental food literacy. Public Health Nutrition 2024;27(1) View
  91. Oyebode O, Steeves D, Orji R. Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems. User Modeling and User-Adapted Interaction 2024;34(4):1175 View
  92. McDonagh L, Saunders J, Cassell J, Bastaki H, Hartney T, Rait G. Facilitators and barriers to chlamydia testing in general practice for young people using a theoretical model (COM-B): a systematic review protocol. BMJ Open 2017;7(3):e013588 View
  93. Cole A, Corrales F, Stone E, Biber D. The Walking and Lifestyle Coaching (WALC) Program for University Students: A Pilot Study. American Journal of Lifestyle Medicine 2024 View
  94. Guo S, Liu D, Bi X, Feng Y, Zhang K, Jiang J, Wang Y. Barriers and facilitators to self-management among women with gestational diabetes: A systematic review using the COM-B model. Midwifery 2024;138:104141 View
  95. Zhou Y, Huang Y, Wang Y, Xu X, Yu Z, Gu Y. Theoretical Domains Framework: A Bibliometric and Visualization Analysis from 2005-2023. Journal of Multidisciplinary Healthcare 2024;Volume 17:4055 View
  96. Hobden G, Tang E, Demeyere N. A modified Delphi survey to build expert consensus on the structure and content of an enhanced care pathway for cognitive changes after stroke in the UK. BMC Health Services Research 2024;24(1) View
  97. Vasquez T, Fernandez A, Haya-Fisher J, Kim S, Beck A. A Qualitative Exploration of Barriers and Facilitators to Physical Activity Among Low-Income Latino Adolescents. Hispanic Health Care International 2021;19(2):86 View
  98. Yang H, Kim H. Family-based mobile application needs in childhood obesity management in South Korea: a qualitative study. Child Health Nursing Research 2024;30(4):298 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
  4. Pretolesi D, Motnikar L, Till B, Uhl J. Persuasive Technology. View
  5. Buttigieg S. Digital Health. View