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Citing this Article

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Published on 22.08.12 in Vol 1, No 2 (2012): Jul-Dec

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

Works citing "Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change"

According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.2205):

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

  1. Alencar MK, Johnson K, Mullur R, Gray V, Gutierrez E, Korosteleva O. The efficacy of a telemedicine-based weight loss program with video conference health coaching support. Journal of Telemedicine and Telecare 2019;25(3):151
    CrossRef
  2. McNamara J, Olfert MD, Sowers M, Colby S, White A, Byrd-Bredbenner C, Kattelmann K, Franzen-Castle LD, Brown O, Kidd T, Shelnutt KP, Horacek T, Greene GW. Development of an Instrument Measuring Perceived Environmental Healthfulness: Behavior Environment Perception Survey (BEPS). Journal of Nutrition Education and Behavior 2019;
    CrossRef
  3. Mackrill T, Ørnbøll JK. The MySocialworker app system – a pilot interview study. European Journal of Social Work 2019;22(1):134
    CrossRef
  4. 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
  5. Lee JY, Kim JY, You SJ, Kim YS, Koo HY, Kim JH, Kim S, Park JH, Han JS, Kil S, Kim H, Yang YS, Lee KM. Development and Usability of a Life-Logging Behavior Monitoring Application for Obese Patients. Journal of Obesity & Metabolic Syndrome 2019;28(3):194
    CrossRef
  6. White B, Giglia RC, White JA, Dhaliwal S, Burns SK, Scott JA. Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App. JMIR Pediatrics and Parenting 2019;2(1):e12157
    CrossRef
  7. Delmas MA, Kohli A. Can Apps Make Air Pollution Visible? User Engagement with Air Quality Information. SSRN Electronic Journal 2019;
    CrossRef
  8. Jia P, Xue H, Yin L, Stein A, Wang M, Wang Y. Spatial Technologies in Obesity Research: Current Applications and Future Promise. Trends in Endocrinology & Metabolism 2019;30(3):211
    CrossRef
  9. Khairat S, Liu S, Zaman T, Edson B, Gianforcaro R. Factors Determining Patients’ Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment. JMIR mHealth and uHealth 2019;7(6):e13772
    CrossRef
  10. Fennell C, Barkley JE, Lepp A. The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18–80. Computers in Human Behavior 2019;90:53
    CrossRef
  11. Cook AS, O'Leary F, Allman-Farinelli M. The relationship between process use and stage of change for sugary drinks. Journal of Human Nutrition and Dietetics 2018;31(5):697
    CrossRef
  12. Dodd JM, Louise J, Cramp C, Grivell RM, Moran LJ, Deussen AR. Evaluation of a smartphone nutrition and physical activity application to provide lifestyle advice to pregnant women: The SNAPP randomised trial. Maternal & Child Nutrition 2018;14(1):e12502
    CrossRef
  13. Griffin N, Kehoe M. A questionnaire study to explore the views of people with multiple sclerosis of using smartphone technology for health care purposes. Disability and Rehabilitation 2018;40(12):1434
    CrossRef
  14. Towne SD, Ory MG, Smith ML, Peres SC, Pickens AW, Mehta RK, Benden M. Accessing physical activity among young adults attending a university: the role of sex, race/ethnicity, technology use, and sleep. BMC Public Health 2017;17(1)
    CrossRef
  15. Cho S, Lee E. Effects of the Smartphone Application “Safe Patients” on Knowledge of Patient Safety Issues Among Surgical Patients. CIN: Computers, Informatics, Nursing 2017;:1
    CrossRef
  16. West JH, Belvedere LM, Andreasen R, Frandsen C, Hall PC, Crookston BT. Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change. JMIR mHealth and uHealth 2017;5(7):e95
    CrossRef
  17. Partridge SR, McGeechan K, Bauman A, Phongsavan P, Allman-Farinelli M. Improved confidence in performing nutrition and physical activity behaviours mediates behavioural change in young adults: Mediation results of a randomised controlled mHealth intervention. Appetite 2017;108:425
    CrossRef
  18. Dimitriou M, Giazitzi K, Stavridi E, Palisidis G, Karathanos V, Boskou G. Evaluation of an Electronic Application for Nutritional Information in Food Service Outlets. International Journal of Reliable and Quality E-Healthcare 2017;6(1):46
    CrossRef
  19. Rekhy R, Khan A, Eason J, Mactavish-West H, Lister C, Mcconchie R. Australian consumer awareness of health benefits associated with vegetable consumption. Nutrition & Dietetics 2017;74(2):175
    CrossRef
  20. Nwolise CH, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3:205520761772641
    CrossRef
  21. 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
  22. Chen Y, Wong J, Ayob A, Othman N, Poh B. Can Malaysian Young Adults Report Dietary Intake Using a Food Diary Mobile Application? A Pilot Study on Acceptability and Compliance. Nutrients 2017;9(1):62
    CrossRef
  23. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40
    CrossRef
  24. Hales S, Turner-McGrievy G, Fahim A, Freix A, Wilcox S, Davis RE, Huhns M, Valafar H. A Mixed-Methods Approach to the Development, Refinement, and Pilot Testing of Social Networks for Improving Healthy Behaviors. JMIR Human Factors 2016;3(1):e8
    CrossRef
  25. Partridge SR, Allman-Farinelli M, McGeechan K, Balestracci K, Wong AT, Hebden L, Harris MF, Bauman A, Phongsavan P. Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  26. Tort E, Aguilar-Martínez A, Medina FX, Saigí-Rubió F. Visión de los profesionales sobre las posibilidades de uso y las funcionalidades de las aplicaciones móviles para el tratamiento de la obesidad y el sobrepeso. Atención Primaria 2016;48(2):138
    CrossRef
  27. Matthews J, Win KT, Oinas-Kukkonen H, Freeman M. Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review. Journal of Medical Systems 2016;40(3)
    CrossRef
  28. Dute DJ, Bemelmans WJE, Breda J. Using Mobile Apps to Promote a Healthy Lifestyle Among Adolescents and Students: A Review of the Theoretical Basis and Lessons Learned. JMIR mHealth and uHealth 2016;4(2):e39
    CrossRef
  29. White B, White J, Giglia R, Tawia S. Feed Safe: a multidisciplinary partnership approach results in a successful mobile application for breastfeeding mothers. Health Promotion Journal of Australia 2016;27(2):111
    CrossRef
  30. Elbert SP, Dijkstra A, Oenema A. 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. Journal of Medical Internet Research 2016;18(6):e147
    CrossRef
  31. Nwolise CH, Carey N, Shawe J. Preconception Care Education for Women With Diabetes: A Systematic Review of Conventional and Digital Health Interventions. Journal of Medical Internet Research 2016;18(11):e291
    CrossRef
  32. Oreskovic NM, Fletcher R, Sharifi M, Knutsen JD, Chilingirian A, Taveras EM. Design and rationale of the STRIVE trial to improve cardiometabolic health among children and families. Contemporary Clinical Trials 2016;49:149
    CrossRef
  33. Chen DM, Tucker B, Badami MG, Ramankutty N, Rhemtulla JM. A multi-dimensional metric for facilitating sustainable food choices in campus cafeterias. Journal of Cleaner Production 2016;135:1351
    CrossRef
  34. Seto E, Hua J, Wu L, Shia V, Eom S, Wang M, Li Y, Yao L. Models of Individual Dietary Behavior Based on Smartphone Data: The Influence of Routine, Physical Activity, Emotion, and Food Environment. PLOS ONE 2016;11(4):e0153085
    CrossRef
  35. Howells A, Ivtzan I, Eiroa-Orosa FJ. Putting the ‘app’ in Happiness: A Randomised Controlled Trial of a Smartphone-Based Mindfulness Intervention to Enhance Wellbeing. Journal of Happiness Studies 2016;17(1):163
    CrossRef
  36. Hales S, Turner-McGrievy GM, Wilcox S, Fahim A, Davis RE, Huhns M, Valafar H. Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. International Journal of Medical Informatics 2016;94:81
    CrossRef
  37. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar NB, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393
    CrossRef
  38. Partridge SR, McGeechan K, Hebden L, Balestracci K, Wong AT, Denney-Wilson E, Harris MF, Phongsavan P, Bauman A, Allman-Farinelli M. Effectiveness of a mHealth Lifestyle Program With Telephone Support (TXT2BFiT) to Prevent Unhealthy Weight Gain in Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2015;3(2):e66
    CrossRef
  39. Klein M, van Wissen A. Ondersteuning van therapietrouw via smartphone: ervaringen met patiëntenwerving. Tijdschrift voor gezondheidswetenschappen 2015;93(4):135
    CrossRef
  40. Knight-Agarwal C, Davis DL, Williams L, Davey R, Cox R, Clarke A. Development and Pilot Testing of the Eating4two Mobile Phone App to Monitor Gestational Weight Gain. JMIR mHealth and uHealth 2015;3(2):e44
    CrossRef
  41. Oh B, Cho B, Han MK, Choi H, Lee MN, Kang H, Lee CH, Yun H, Kim Y. The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial. JMIR mHealth and uHealth 2015;3(3):e83
    CrossRef
  42. Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
    CrossRef
  43. Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: An Integrative Health Platform for Supporting Weight Loss and Maintenance Behaviors. IEEE Journal of Biomedical and Health Informatics 2015;19(1):109
    CrossRef
  44. Allman-Farinelli M. Nutrition Promotion to Prevent Obesity in Young Adults. Healthcare 2015;3(3):809
    CrossRef
  45. Aguilar-Martínez A, Tort E, Medina FX, Saigí-Rubió F. Posibilidades de las aplicaciones móviles para el abordaje de la obesidad según los profesionales. Gaceta Sanitaria 2015;29(6):419
    CrossRef
  46. Miller T, Chandler L, Mouttapa M. A Needs Assessment, Development, and Formative Evaluation of a Health Promotion Smartphone Application for College Students. American Journal of Health Education 2015;46(4):207
    CrossRef
  47. Escárcega-Centeno D, Hérnandez-Briones A, Ochoa-Ortiz E, Gutiérrez-Gómez Y. Augmented-Sugar Intake: A Mobile Application to Teach Population about Sugar Sweetened Beverages. Procedia Computer Science 2015;75:275
    CrossRef
  48. Stinson JN, Jibb LA, Nguyen C, Nathan PC, Maloney AM, Dupuis LL, Gerstle JT, Hopyan S, Alman BA, Strahlendorf C, Portwine C, Johnston DL. Construct validity and reliability of a real-time multidimensional smartphone app to assess pain in children and adolescents with cancer. PAIN 2015;156(12):2607
    CrossRef
  49. Curtis KE, Lahiri S, Brown KE. Targeting Parents for Childhood Weight Management: Development of a Theory-Driven and User-Centered Healthy Eating App. JMIR mHealth and uHealth 2015;3(2):e69
    CrossRef
  50. Gilliland J, Sadler R, Clark A, O’Connor C, Milczarek M, Doherty S. Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption. BioMed Research International 2015;2015:1
    CrossRef
  51. Payne HE, Lister C, West JH, Bernhardt JM. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20
    CrossRef
  52. Spruijt-Metz D, O’Reilly GA, Cook L, Page KA, Quinn C. Behavioral Contributions to the Pathogenesis of Type 2 Diabetes. Current Diabetes Reports 2014;14(4)
    CrossRef
  53. Lister C, West JH, Cannon B, Sax T, Brodegard D. Just a Fad? Gamification in Health and Fitness Apps. JMIR Serious Games 2014;2(2):e9
    CrossRef
  54. Jibb LA, Stevens BJ, Nathan PC, Seto E, Cafazzo JA, Stinson JN. A Smartphone-Based Pain Management App for Adolescents With Cancer: Establishing System Requirements and a Pain Care Algorithm Based on Literature Review, Interviews, and Consensus. JMIR Research Protocols 2014;3(1):e15
    CrossRef
  55. Gilmore LA, Duhé AF, Frost EA, Redman LM. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596
    CrossRef
  56. Hebden L, Cook A, van der Ploeg HP, King L, Bauman A, Allman-Farinelli M. A mobile health intervention for weight management among young adults: a pilot randomised controlled trial. Journal of Human Nutrition and Dietetics 2014;27(4):322
    CrossRef
  57. Okumus B, Bilgihan A. Proposing a model to test smartphone users' intention to use smart applications when ordering food in restaurants. Journal of Hospitality and Tourism Technology 2014;5(1):31
    CrossRef
  58. Morrison LG, Hargood C, Lin SX, Dennison L, Joseph J, Hughes S, Michaelides DT, Johnston D, Johnston M, Michie S, Little P, Smith PW, Weal MJ, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201
    CrossRef
  59. Conroy DE, Yang C, Maher JP. Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity. American Journal of Preventive Medicine 2014;46(6):649
    CrossRef
  60. Singh A, Wilkinson S, Braganza S. Smartphones and Pediatric Apps to Mobilize the Medical Home. The Journal of Pediatrics 2014;165(3):606
    CrossRef
  61. Özdemir , Akadal E, Reis ZA. An Analysis of the Education Category in App Markets. International Journal of E-Adoption 2014;6(2):14
    CrossRef
  62. Thomas JG, Wing RR. Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study. JMIR mhealth and uhealth 2013;1(1):e3
    CrossRef
  63. Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, Palaniappan LP. Mobile Applications for Weight Management. American Journal of Preventive Medicine 2013;45(5):583
    CrossRef
  64. Dennison L, Morrison L, Conway G, Yardley L. Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior change: Qualitative Study. Journal of Medical Internet Research 2013;15(4):e86
    CrossRef
  65. Ellis LA, Collin P, Davenport TA, Hurley PJ, Burns JM, Hickie IB. Young Men, Mental Health, and Technology: Implications for Service Design and Delivery in the Digital Age. Journal of Medical Internet Research 2012;14(6):e160
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/resprot.2205)

:
  1. Giazitzi K, Karathanos VT, Boskou G. Quality Assurance in the Era of Individualized Medicine. 2020. chapter 6:147
    CrossRef
  2. Javadi B, Calheiros RN, Matawie KM, Ginige A, Cook A. Internet and Distributed Computing Systems. 2018. Chapter 6:63
    CrossRef
  3. Cai F, Dai G, Han T. Design, User Experience, and Usability: Novel User Experiences. 2016. Chapter 23:240
    CrossRef
  4. Özdemir , Akadal E, Reis ZA. Human-Computer Interaction. 2016. chapter 61:1270
    CrossRef