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Published on 18.06.15 in Vol 3, No 2 (2015): Apr-Jun

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3857):

(note that this is only a small subset of citations)

  1. Bannan DF, Aseeri MA, AlAzmi A, Tully MP. Understanding the causes of prescribing errors from a behavioural perspective. Research in Social and Administrative Pharmacy 2019;15(5):546
    CrossRef
  2. Prinja S, Bahuguna P, Gupta A, Nimesh R, Gupta M, Thakur JS. 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)
    CrossRef
  3. Atkins L, Michie S. Designing interventions to change eating behaviours. Proceedings of the Nutrition Society 2015;74(2):164
    CrossRef
  4. Jensen CD, Duncombe KM, Lott MA, Hunsaker SL, Duraccio KM, Woolford SJ. An Evaluation of a Smartphone–Assisted Behavioral Weight Control Intervention for Adolescents: Pilot Study. JMIR mHealth and uHealth 2016;4(3):e102
    CrossRef
  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
    CrossRef
  6. Mitchell KM, Holtz BE, McCarroll A. Patient-Centered Methods for Designing and Developing Health Information Communication Technologies: A Systematic Review. Telemedicine and e-Health 2019;25(11):1012
    CrossRef
  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
    CrossRef
  8. . Rules of engagement in mobile health: what does mobile health bring to research and theory?. Contemporary Nurse 2018;54(4-5):374
    CrossRef
  9. Prinja S, Nimesh R, Gupta A, Bahuguna P, Gupta M, Thakur JS. 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
    CrossRef
  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
    CrossRef
  11. Pond N, Finch M, Sutherland R, Wolfenden L, Nathan N, Kingsland M, Grady A, Gillham K, Herrmann V, Yoong SL. 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
    CrossRef
  12. Tonkin E, Jeffs L, Wycherley TP, 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
    CrossRef
  13. Ning P, Gao D, Cheng P, Schwebel DC, 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
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  14. Schoemans HM, Finn L, Foster J, Roche-Green A, Bevans M, Kullberg S, Lee E, Sargeant C, Schatz BA, Scheeler K, Shaw BE, Shereck E, Murphy EA, Burns LJ, 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
    CrossRef
  15. Hull P, Emerson JS, Quirk ME, Canedo JR, Jones JL, Vylegzhanina V, Schmidt DC, Mulvaney SA, Beech BM, Briley C, Harris C, Husaini BA. 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
    CrossRef
  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
    CrossRef
  17. Shoneye CL, Mullan B, Begley A, Pollard CM, Jancey J, Kerr DA. Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study. JMIR mHealth and uHealth 2020;8(9):e17919
    CrossRef
  18. Koebnick C, Tartof SY, Sidell MA, Rozema E, Chung J, Chiu VY, Taylor ZW, Xiang AH, 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
    CrossRef
  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
    CrossRef
  20. McDonagh LK, Saunders JM, 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)
    CrossRef
  21. Edwards EA, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith JQ, Greenhill D, Griffiths CJ, Walton RT. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252
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  22. Saparamadu AADNS, Fernando P, Zeng P, Teo H, Goh A, Lee JMY, Lam CWL. User-Centered Design Process of an mHealth App for Health Professionals: Case Study. JMIR mHealth and uHealth 2021;9(3):e18079
    CrossRef
  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
    CrossRef
  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
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  25. Mummah SA, King AC, Gardner CD, 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)
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  26. Lewis ZH, Swartz MC, Lyons EJ. What's the Point?: A Review of Reward Systems Implemented in Gamification Interventions. Games for Health Journal 2016;5(2):93
    CrossRef
  27. Liu Y, Chen C, Tsou Y, Lin Y, Chen H, Yeh J, Chiu SY. Evaluating Mobile Health Apps for Customized Dietary Recording for Young Adults and Seniors: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e10931
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  28. Turner-McGrievy GM, Hales SB, Schoffman DE, Valafar H, Brazendale K, Weaver RG, Beets MW, Wirth MD, Shivappa N, Mandes T, Hébert JR, Wilcox S, Hester A, McGrievy MJ. Choosing between responsive-design websites versus mobile apps for your mobile behavioral intervention: presenting four case studies. Translational Behavioral Medicine 2017;7(2):224
    CrossRef
  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
    CrossRef
  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
    CrossRef
  31. Chai LK, May C, Collins CE, Burrows TL. Development of text messages targeting healthy eating for children in the context of parenting partnerships. Nutrition & Dietetics 2019;76(5):515
    CrossRef
  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)
    CrossRef
  33. Carney R, Bradshaw T, Yung AR. 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
    CrossRef
  34. Bartlett YK, Farmer A, Rea R, French DP. 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
    CrossRef
  35. . Supporting nurses to adopt healthy eating behaviours. Nursing Standard 2018;33(9):56
    CrossRef
  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
    CrossRef
  37. Ferreira DS, Ramos FRS, Teixeira E. Aplicativo móvel para a práxis educativa de enfermeiros da estratégia saúde da família: ideação e prototipagem. Escola Anna Nery 2021;25(1)
    CrossRef
  38. Mummah SA, Mathur M, King AC, Gardner CD, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR mHealth and uHealth 2016;4(2):e51
    CrossRef
  39. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373
    CrossRef
  40. Jung J, Jeon SH, Bae HJ, Cho Y, Hur Y, Sung EJ, 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
    CrossRef
  41. Nelligan RK, Hinman RS, Atkins L, Bennell KL. 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
    CrossRef
  42. Newton JT, Asimakopoulou K. Behavioral models for periodontal health and disease. Periodontology 2000 2018;78(1):201
    CrossRef
  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
    CrossRef
  44. Rivera J, McPherson AC, 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
    CrossRef
  45. Spence ND, Skelton JA, Ball GD. A proposed standardized approach to studying attrition in pediatric weight management. Obesity Research & Clinical Practice 2020;14(1):60
    CrossRef
  46. Wheeler TS, Michael Vallis T, Giacomantonio NB, Abidi SR. Feasibility and usability of an ontology-based mobile intervention for patients with hypertension. International Journal of Medical Informatics 2018;119:8
    CrossRef
  47. Prinja S, Nimesh R, Gupta A, Bahuguna P, Thakur JS, 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
    CrossRef
  48. Beck AL, 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
    CrossRef
  49. McClelland GT, Fitzgerald M. A participatory mobile application (app) development project with mental health service users and clinicians. Health Education Journal 2018;77(7):815
    CrossRef
  50. Seyyedi N, Rahimi B, Farrokh Eslamlou HR, 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)
    CrossRef
  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
    CrossRef
  52. Korpershoek YJG, Hermsen S, Schoonhoven L, Schuurmans MJ, Trappenburg JCA. 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
    CrossRef
  53. Handley MA, Harleman E, Gonzalez-Mendez E, Stotland NE, 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)
    CrossRef
  54. Issom D, Henriksen A, Woldaregay AZ, 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
    CrossRef
  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)
    CrossRef
  56. Ögel Aydın S, Argan M. Understanding how gamification influences consumers’ dietary preferences. Journal of Social Marketing 2021;11(2):82
    CrossRef
  57. Ferreira DS, Ramos FRS, Teixeira E. Aplicativo móvel para a práxis educativa de enfermeiros da estratégia saúde da família: ideação e prototipagem. Escola Anna Nery 2021;25(1)
    CrossRef
  58. Asensio-Cuesta S, Blanes-Selva V, Conejero JA, Frigola A, Portolés MG, Merino-Torres JF, Rubio Almanza M, Syed-Abdul S, Li Y, Vilar-Mateo R, Fernandez-Luque L, García-Gómez JM. 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
    CrossRef
  59. Huh J, Lee KJ, Roldan W, Castro Y, Kshirsagar S, Rastogi P, Kim I, Miller KA, 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
    CrossRef
  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
    CrossRef
  61. Gray AT, Wood CE, 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
    CrossRef
  62. Wearn A, Haste A, Haighton C, Mallion V, Rodrigues AM. Barriers and facilitators to implementing the CURE stop smoking project: a qualitative study. BMC Health Services Research 2021;21(1)
    CrossRef
  63. Cooray N, Sun SL, 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
    CrossRef
  64. Santos SV, Ramos FRS, Costa R, Batalha LMDC. Assessment of the quality of a software application for the prevention of skin lesions in newborns*. Revista Latino-Americana de Enfermagem 2020;28
    CrossRef
  65. Al Rahmad AH, Junaidi J, Fitrianingsih E, Iskandar I, Mulyani NS, 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
    CrossRef
  66. Vázquez-Paz AM, Michel-Nava RM, Delgado-Pérez EE, Lares-Michel M, Espinosa-Curiel IE. Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. Journal of Medical Systems 2022;46(11)
    CrossRef
  67. Arouca MG, Neves IBDC, Barreto ME, Cruz CDS, Brito RL. Gamification Frameworks and Models for Health Contexts. International Journal for Innovation Education and Research 2021;9(9):374
    CrossRef
  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
    CrossRef
  69. . User-Centric Design Methodology for mHealth Apps: The PainApp Paradigm for Chronic Pain. Technologies 2022;10(1):25
    CrossRef
  70. Dias SB, Oikonomidis Y, Diniz JA, Baptista F, Carnide F, Bensenousi A, Botana JM, 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 LJ. 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
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  71. Marshall S, Moore AC, Fleming A, Sahm LJ. A Video-Based Behavioral Intervention Associated with Improved HPV Knowledge and Intention to Vaccinate. Vaccines 2022;10(4):562
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  72. Mahdi S, Michalik-Denny EK, Buckland NJ. An Assessment of Behavior Change Techniques in Two Versions of a Dietary Mobile Application: The Change4Life Food Scanner. Frontiers in Public Health 2022;10
    CrossRef
  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)
    CrossRef
  74. Pearson N, Finch M, Sutherland R, Kingsland M, Wolfenden L, Wedesweiler T, Herrmann V, Yoong SL. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  77. Cradock KA, Quinlan LR, Finucane FM, Gainforth HL, Ginis KAM, Sanders EB, ÓLaighin G. Design of a Planner-Based Intervention to Facilitate Diet Behaviour Change in Type 2 Diabetes. Sensors 2022;22(7):2795
    CrossRef
  78. Duffy A, Christie GJ, Moreno S. The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review. JMIR Human Factors 2022;9(3):e35693
    CrossRef
  79. Dhinagaran DA, Martinengo L, Ho MR, 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
    CrossRef
  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)
    CrossRef
  81. Tonkin E, Brimblecombe J, Wycherley TP. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308
    CrossRef
  82. Davies EL, Hussain S, Brooke JM, Hale T, Cadle M, Hennelly SE. Taking Action in Student Harassment Situations. Violence and Victims 2022;37(1):116
    CrossRef
  83. Caon M, Prinelli F, Angelini L, Carrino S, Mugellini E, Orte S, Serrano JCE, 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
    CrossRef
  84. Silva M, Hay-Smith EJ, 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
    CrossRef
  85. An Q, Kelley MM, Hanners A, Yen P. Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process. JMIR Formative Research 2023;7:e45694
    CrossRef
  86. Ikwunne T, Hederman L, Wall PJ. DECENT: A sociotechnical approach for developing mobile health apps in underserved settings. DIGITAL HEALTH 2023;9
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  87. Abahussin AA, West RM, Wong DC, Ziegler LE, Allsop MJ. Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach. JMIR Cancer 2023;9:e49471
    CrossRef
  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)
    CrossRef
  89. Norman J, Furber S, Bauman A, Okely AD. 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;
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  90. Fraser K, Johnson BJ, Love P, Spence A, Laws R, Campbell KJ. Mapping the behaviour change potential of meal kits to positively influence parental food literacy. Public Health Nutrition 2024;27(1)
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  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;
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3857):

  1. . Prävention und Gesundheitsförderung. 2019. Chapter 16-1:1
    CrossRef
  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 6:101
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  3. . Prävention und Gesundheitsförderung. 2021. Chapter 16:285
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  4. Pretolesi D, Motnikar L, Till B, Uhl J. Persuasive Technology. 2023. Chapter 26:410
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