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

Formative Studies and eHealth/mHealth Development (515) Mobile Health (mhealth) (2765)

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

Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Authors of this article:

Lana Hebden1 Author Orcid Image ;   Amelia Cook1 ;   Hidde P. van der Ploeg2 ;   Margaret Allman-Farinelli1 Author Orcid Image
Article Authors Cited by (114) Tweetations (9) Metrics

Journals

  1. Elbert S, 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 View
  2. Dute D, Bemelmans W, 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 View
  3. Morrison L, Hargood C, Lin S, Dennison L, Joseph J, Hughes S, Michaelides D, Johnston D, Johnston M, Michie S, Little P, Smith P, Weal M, 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 View
  4. 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 View
  5. Jones F, Whitehouse A, Dopson A, Palaghias N, Aldiss S, Gibson F, Shawe J. Reducing unintentional injuries in under fives: Development and testing of a mobile phone app. Child: Care, Health and Development 2020;46(2):203 View
  6. Özdemir Ş, Akadal E, Reis Z. An Analysis of the Education Category in App Markets. International Journal of E-Adoption 2014;6(2):14 View
  7. 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 View
  8. Mackrill T, Ørnbøll J. The MySocialworker app system – a pilot interview study. European Journal of Social Work 2019;22(1):134 View
  9. 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 View
  10. Gentili C, Zetterqvist V, Rickardsson J, Holmström L, Simons L, Wicksell R. ACTsmart – development and feasibility of digital Acceptance and Commitment Therapy for adults with chronic pain. npj Digital Medicine 2020;3(1) View
  11. 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
  12. Nwolise C, 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 View
  13. 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 View
  14. Lister C, West J, Cannon B, Sax T, Brodegard D. Just a Fad? Gamification in Health and Fitness Apps. JMIR Serious Games 2014;2(2):e9 View
  15. 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 View
  16. 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 View
  17. 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
  18. Jibb L, Stevens B, Nathan P, Seto E, Cafazzo J, Stinson J. 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 View
  19. Paramastri R, Pratama S, Ho D, Purnamasari S, Mohammed A, Galvin C, Hsu Y, Tanweer A, Humayun A, Househ M, Iqbal U. Use of mobile applications to improve nutrition behaviour: A systematic review. Computer Methods and Programs in Biomedicine 2020;192:105459 View
  20. Gilmore L, Duhé A, Frost E, Redman L. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596 View
  21. Aguilar-Martínez A, Tort E, Medina F, Saigí-Rubió F. Posibilidades de las aplicaciones móviles para el abordaje de la obesidad según los profesionales. Gaceta Sanitaria 2015;29(6):419 View
  22. 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 View
  23. West J, Belvedere L, Andreasen R, Frandsen C, Hall P, Crookston B. Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change. JMIR mHealth and uHealth 2017;5(7):e95 View
  24. Thomas J, Wing R. Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study. JMIR mhealth and uhealth 2013;1(1):e3 View
  25. Alencar M, 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 View
  26. 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 View
  27. 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 View
  28. Delmas M, Kohli A. Can Apps Make Air Pollution Visible? User Engagement with Air Quality Information. SSRN Electronic Journal 2019 View
  29. White B, Giglia R, White J, Dhaliwal S, Burns S, Scott J. Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App. JMIR Pediatrics and Parenting 2019;2(1):e12157 View
  30. Hebden L, Cook A, van der Ploeg H, 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 View
  31. Oreskovic N, Fletcher R, Sharifi M, Knutsen J, Chilingirian A, Taveras E. Design and rationale of the STRIVE trial to improve cardiometabolic health among children and families. Contemporary Clinical Trials 2016;49:149 View
  32. Curtis K, Lahiri S, Brown K. 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 View
  33. Stinson J, Jibb L, Nguyen C, Nathan P, Maloney A, Dupuis L, Gerstle J, Hopyan S, Alman B, Strahlendorf C, Portwine C, Johnston D. 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 View
  34. Swendeman D, Comulada W, Koussa M, Worthman C, Estrin D, Rotheram-Borus M, Ramanathan N. Longitudinal Validity and Reliability of Brief Smartphone Self-Monitoring of Diet, Stress, and Physical Activity in a Diverse Sample of Mothers. JMIR mHealth and uHealth 2018;6(9):e176 View
  35. 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 View
  36. 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 View
  37. Allman-Farinelli M. Nutrition Promotion to Prevent Obesity in Young Adults. Healthcare 2015;3(3):809 View
  38. Avalos L, Aghaee S, Kurtovich E, Quesenberry Jr C, Nkemere L, McGinnis M, Kubo A. A Mobile Health Mindfulness Intervention for Women With Moderate to Moderately Severe Postpartum Depressive Symptoms: Feasibility Study. JMIR Mental Health 2020;7(11):e17405 View
  39. Towne S, Ory M, Smith M, Peres S, Pickens A, Mehta R, 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) View
  40. Pires I, Marques G, Garcia N, Flórez-Revuelta F, Ponciano V, Oniani S. A Research on the Classification and Applicability of the Mobile Health Applications. Journal of Personalized Medicine 2020;10(1):11 View
  41. Conroy D, Yang C, Maher J. Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity. American Journal of Preventive Medicine 2014;46(6):649 View
  42. Matthews J, Win K, Oinas-Kukkonen H, Freeman M. Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review. Journal of Medical Systems 2016;40(3) View
  43. van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5:205520761988646 View
  44. Singh A, Wilkinson S, Braganza S. Smartphones and Pediatric Apps to Mobilize the Medical Home. The Journal of Pediatrics 2014;165(3):606 View
  45. Tort E, Aguilar-Martínez A, Medina F, 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 View
  46. Partridge S, Allman-Farinelli M, McGeechan K, Balestracci K, Wong A, Hebden L, Harris M, 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) View
  47. Dodd J, Louise J, Cramp C, Grivell R, Moran L, Deussen A. 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) View
  48. Hales S, Turner-McGrievy G, Fahim A, Freix A, Wilcox S, Davis R, 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 View
  49. Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 View
  50. Partridge S, 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 View
  51. Ellis L, Collin P, Davenport T, Hurley P, Burns J, Hickie I. 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 View
  52. 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 View
  53. Chen J, Cade J, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104 View
  54. Knight-Agarwal C, Davis D, 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 View
  55. Klein M, van Wissen A. Ondersteuning van therapietrouw via smartphone: ervaringen met patiëntenwerving. Tijdschrift voor gezondheidswetenschappen 2015;93(4):135 View
  56. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar N, 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 View
  57. Zhou L, Saptono A, Setiawan I, Parmanto B. Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study. JMIR mHealth and uHealth 2020;8(1):e15060 View
  58. 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;35(12):639 View
  59. Herrmanny K, Schwarz M, Paldán K, Beckmann N, Sell J, Wagner N, Dogangün A. Designing a Holistic Behavior Change Support System for Healthy Aging. i-com 2017;16(2):99 View
  60. Lee J, Kim J, You S, Kim Y, Koo H, Kim J, Kim S, Park J, Han J, Kil S, Kim H, Yang Y, Lee K. Development and Usability of a Life-Logging Behavior Monitoring Application for Obese Patients. Journal of Obesity & Metabolic Syndrome 2019;28(3):194 View
  61. 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 View
  62. Chen D, Tucker B, Badami M, Ramankutty N, Rhemtulla J. A multi-dimensional metric for facilitating sustainable food choices in campus cafeterias. Journal of Cleaner Production 2016;135:1351 View
  63. Oh B, Cho B, Han M, Choi H, Lee M, Kang H, Lee C, 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 View
  64. Fennell C, Barkley J, 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 View
  65. 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 View
  66. Cook A, 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 View
  67. Nwolise C, 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 View
  68. Hales S, Turner-McGrievy G, Wilcox S, Fahim A, Davis R, 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 View
  69. Winand M, Ng A, Byers T. Pokémon “Go” but for how long?: a qualitative analysis of motivation to play and sustainability of physical activity behaviour in young adults using mobile augmented reality. Managing Sport and Leisure 2022;27(5):421 View
  70. Howells A, Ivtzan I, Eiroa-Orosa F. 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 View
  71. Partridge S, McGeechan K, Hebden L, Balestracci K, Wong A, Denney-Wilson E, Harris M, 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 View
  72. McNamara J, Olfert M, Sowers M, Colby S, White A, Byrd-Bredbenner C, Kattelmann K, Franzen-Castle L, Brown O, Kidd T, Shelnutt K, Horacek T, Greene G. Development of an Instrument Measuring Perceived Environmental Healthfulness: Behavior Environment Perception Survey (BEPS). Journal of Nutrition Education and Behavior 2020;52(2):152 View
  73. Molina M, Myrick J. The ‘how’ and ‘why’ of fitness app use: investigating user motivations to gain insights into the nexus of technology and fitness. Sport in Society 2021;24(7):1233 View
  74. Azar K, Lesser L, Laing B, Stephens J, Aurora M, Burke L, Palaniappan L. Mobile Applications for Weight Management. American Journal of Preventive Medicine 2013;45(5):583 View
  75. 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 View
  76. Spruijt-Metz D, O’Reilly G, Cook L, Page K, Quinn C. Behavioral Contributions to the Pathogenesis of Type 2 Diabetes. Current Diabetes Reports 2014;14(4) View
  77. Kubo A, Aghaee S, Kurtovich E, Nkemere L, Quesenberry C, McGinnis M, Avalos L. mHealth Mindfulness Intervention for Women with Moderate-to-Moderately-Severe Antenatal Depressive Symptoms: a Pilot Study Within an Integrated Health Care System. Mindfulness 2021;12(6):1387 View
  78. Juengst S, Terhorst L, Nabasny A, Wallace T, Weaver J, Osborne C, Burns S, Wright B, Wen P, Kew C, Morris J. Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(4):2173 View
  79. Manea V, Wac K. Co-Calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Journal of Personalized Medicine 2020;10(4):203 View
  80. Mauch C, Laws R, Prichard I, Maeder A, Wycherley T, Golley R. Commercially Available Apps to Support Healthy Family Meals: User Testing of App Utility, Acceptability, and Engagement. JMIR mHealth and uHealth 2021;9(5):e22990 View
  81. Salari R, R Niakan Kalhori S, GhaziSaeedi M, Jeddi M, Nazari M, Fatehi F. Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation. Journal of Medical Internet Research 2021;23(6):e18167 View
  82. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  83. Ulfa M, Setyonugroho W, Lestari T, Widiasih E, Nguyen Quoc A, Schiavo L. Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring. Journal of Nutrition and Metabolism 2022;2022:1 View
  84. Nwolise C, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446 View
  85. Schmädeke S, Bischoff C. Wirkungen smartphonegestützter psychosomatischer Rehabilitationsnachsorge (eATROS) bei depressiven Patienten. Verhaltenstherapie 2015;25(4):277 View
  86. Biviji R, Williams K, Vest J, Dixon B, Cullen T, Harle C. Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis. Journal of Medical Internet Research 2021;23(9):e27403 View
  87. Montague J, Haith‐Cooper M. A study to assess the feasibility of using a novel digital animation to increase physical activity levels in asylum seeking communities. Health & Social Care in the Community 2022;30(5):1960 View
  88. Harrison L, Webster S, Van Orden A, Choate E, Jehl N, Stinson J, Wicksell R, Darnall B, Simons L. Agile development of a digital exposure treatment for youth with chronic musculoskeletal pain: protocol of a user-centred design approach and examination of feasibility and preliminary efficacy. BMJ Open 2022;12(9):e065997 View
  89. 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
  90. Sharif R, Zafar H, Vellinga A, Flaherty G, Sharif F. Analysis of Web and Mobile Apps for Monitoring of Childhood Physical Activity. International Journal of Digital Health 2022;2(1):1 View
  91. Malik M, Bin Tariq R, Hussain A, Hashmi A. Development and Validation of Eating Disorder Screening App for Population of Pakistan. Trends in Medical Research 2023;18(1):84 View
  92. Sharif I, Badrasawi M, Zidan S, Zghier H, Abu Sunaina R, Abu Mazer T. Creation, Validation, and Use of Photo-Based Smartphone Application for Dietary Fiber Counting Among University Students. Topics in Clinical Nutrition 2024;39(2):157 View
  93. Akodu A, Ipinnimo O, Osuntoki A. Perceived impact of a smartphone application: Knowledge, awareness, attitudes, and intention to change an abnormal neck posture among smartphone-addicted undergraduates. Turkish Journal of Physical Medicine and Rehabilitation 2024;70(2):197 View

Books/Policy Documents

  1. Giazitzi K, Karathanos V, Boskou G. Quality Assurance in the Era of Individualized Medicine. View
  2. Cai F, Dai G, Han T. Design, User Experience, and Usability: Novel User Experiences. View
  3. Feunekes G, Hermans R, Vis J. Handbook of Eating and Drinking. View
  4. Özdemir Ş, Akadal E, Reis Z. Human-Computer Interaction. View
  5. Plecher D, Eichhorn C, Steinmetz C, Klinker G. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. View
  6. Javadi B, Calheiros R, Matawie K, Ginige A, Cook A. Internet and Distributed Computing Systems. View
  7. Feunekes G, Hermans R, Vis J. Handbook of Eating and Drinking. View